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2025
[j101]
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Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr:
Fairness and Diversity in Recommender Systems: A Survey. ACM Trans. Intell. Syst. Technol. 16(1): 2:1-2:28 (2025)
[j100]
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Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng:
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. IEEE Trans. Knowl. Data Eng. 37(1): 291-305 (2025)
[j99]
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Xueqi Cheng, Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Keping Bi:
GSM-EL: A Generalizable Symbol-Manipulation Approach for Entity Linking. IEEE Trans. Knowl. Data Eng. 37(3): 1213-1226 (2025)
[c486]
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  - conf/aaai/00280GRFC25
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Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models. AAAI 2025: 12229-12237
[c485]
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  - conf/coling/MeiLWBMC25
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Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Jiayi Mao, Xueqi Cheng:
"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak. COLING 2025: 2144-2162
[c484]
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Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng:
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models. COLING 2025: 4457-4473
[c483]
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Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng:
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation. COLING 2025: 5375-5390
[c482]
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  - conf/coling/HuLJ0GC25
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Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng:
Large Language Model-Based Event Relation Extraction with Rationales. COLING 2025: 7484-7496
[c481]
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Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Inductive Link Prediction in N-ary Knowledge Graphs. COLING 2025: 8885-8896
[c480]
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  - conf/kdd/Tang0GRLWYC25
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Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng:
Generative Retrieval for Book Search. KDD (1) 2025: 2606-2617
[c479]
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  - conf/wsdm/Cheng0LZAD25
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Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr:
Edge Classification on Graphs: New Directions in Topological Imbalance. WSDM 2025: 392-400
[c478]
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Xueqi Cheng:
Edge-Centric Network Analytics. WSDM 2025: 1071-1073
[i259]
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  - journals/corr/abs-2501-11034
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Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqing Wang, Dawei Yin, Xueqi Cheng:
Generative Retrieval for Book search. CoRR abs/2501.11034 (2025)
[i258]
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  - journals/corr/abs-2502-00348
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Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Personalized Denoising Implicit Feedback for Robust Recommender System. CoRR abs/2502.00348 (2025)
[i257]
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  - journals/corr/abs-2502-06868
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Zenghao Duan, Wenbin Duan, Zhiyi Yin, Yinghan Shen, Shaoling Jing, Jie Zhang, Huawei Shen, Xueqi Cheng:
Related Knowledge Perturbation Matters: Rethinking Multiple Pieces of Knowledge Editing in Same-Subject. CoRR abs/2502.06868 (2025)
[i256]
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  - journals/corr/abs-2502-06872
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Bo Ni, Zheyuan Liu, Leyao Wang, Yongjia Lei, Yuying Zhao, Xueqi Cheng, Qingkai Zeng, Luna Dong, Yinglong Xia, Krishnaram Kenthapadi, Ryan A. Rossi, Franck Dernoncourt, Md. Mehrab Tanjim, Nesreen K. Ahmed, Xiaorui Liu, Wenqi Fan, Erik Blasch, Yu Wang, Meng Jiang, Tyler Derr:
Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey. CoRR abs/2502.06872 (2025)
[i255]
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  - journals/corr/abs-2502-07327
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Haowen Gao, Liang Pang, Shicheng Xu, Leigang Qu, Tat-Seng Chua, Huawei Shen, Xueqi Cheng:
Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos. CoRR abs/2502.07327 (2025)
[i254]
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  - journals/corr/abs-2502-11177
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Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Qi Cao, Dawei Yin, Huawei Shen, Xueqi Cheng:
The Mirage of Model Editing: Revisiting Evaluation in the Wild. CoRR abs/2502.11177 (2025)
[i253]
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  - journals/corr/abs-2502-11400
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Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Huawei Shen, Xueqi Cheng:
Revisiting Robust RAG: Do We Still Need Complex Robust Training in the Era of Powerful LLMs? CoRR abs/2502.11400 (2025)
[i252]
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  - journals/corr/abs-2502-11401
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Jingcheng Deng, Zhongtao Jiang, Liang Pang, Liwei Chen, Kun Xu, Zihao Wei, Huawei Shen, Xueqi Cheng:
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment. CoRR abs/2502.11401 (2025)
[i251]
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  - journals/corr/abs-2502-11404
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Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Jinyang Gao, Bolin Ding, Huawei Shen, Xueqi Cheng:
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models. CoRR abs/2502.11404 (2025)
[i250]
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  - journals/corr/abs-2502-11414
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Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Dawei Yin, Xueqi Cheng:
Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance. CoRR abs/2502.11414 (2025)
[i249]
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  - journals/corr/abs-2502-11677
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Shiyu Ni, Keping Bi, Jiafeng Guo, Lulu Yu, Baolong Bi, Xueqi Cheng:
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception. CoRR abs/2502.11677 (2025)
[i248]
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  - journals/corr/abs-2502-13464
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Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng:
Estimating Commonsense Plausibility through Semantic Shifts. CoRR abs/2502.13464 (2025)
[i247]
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  - journals/corr/abs-2502-13719
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Yixing Fan, Qiang Yan, Wenshan Wang, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
TrustRAG: An Information Assistant with Retrieval Augmented Generation. CoRR abs/2502.13719 (2025)
[i246]
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  - journals/corr/abs-2502-18176
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Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng:
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification. CoRR abs/2502.18176 (2025)
[i245]
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  - journals/corr/abs-2503-02251
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Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng:
Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective. CoRR abs/2503.02251 (2025)
[i244]
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  - journals/corr/abs-2503-02628
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Wenxuan Liu, Zixuan Li, Long Bai, Yuxin Zuo, Daozhu Xu, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction. CoRR abs/2503.02628 (2025)
[i243]
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  - journals/corr/abs-2503-03201
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Jizhao Zhu, Akang Shi, Zixuan Li, Long Bai, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Towards Robust Universal Information Extraction: Benchmark, Evaluation, and Solution. CoRR abs/2503.03201 (2025)
[i242]
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  - journals/corr/abs-2503-15888
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Baolong Bi, Shenghua Liu, Yiwei Wang, Yilong Xu, Junfeng Fang, Lingrui Mei, Xueqi Cheng:
Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models. CoRR abs/2503.15888 (2025)
2024
[j98]
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  - journals/isci/TaoCSWXC24
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Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng:
IDEA: Invariant defense for graph adversarial robustness. Inf. Sci. 680: 121171 (2024)
[j97]
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  - journals/jcst/CenSCXC24
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Keting Cen, Hua-Wei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng:
Identity-Preserving Adversarial Training for Robust Network Embedding. J. Comput. Sci. Technol. 39(2): 177-191 (2024)
[j96]
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  - journals/nn/YuanXSCCZC24
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Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng:
Towards generalizable Graph Contrastive Learning: An information theory perspective. Neural Networks 172: 106125 (2024)
[j95]
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  - journals/tkdd/ZhouLSC24
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Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng:
Node Embedding Preserving Graph Summarization. ACM Trans. Knowl. Discov. Data 18(6): 145:1-145:19 (2024)
[j94]
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Wenjie Feng, Shenghua Liu, Danai Koutra, Xueqi Cheng:
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms. IEEE Trans. Knowl. Data Eng. 36(3): 1356-1370 (2024)
[j93]
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Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng:
Graph Adversarial Immunization for Certifiable Robustness. IEEE Trans. Knowl. Data Eng. 36(4): 1597-1610 (2024)
[j92]
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Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr:
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. IEEE Trans. Knowl. Data Eng. 36(12): 7497-7515 (2024)
[j91]
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Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. ACM Trans. Inf. Syst. 42(2): 57:1-57:32 (2024)
[j90]
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Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. ACM Trans. Inf. Syst. 42(5): 123:1-123:29 (2024)
[j89]
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Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Listwise Generative Retrieval Models via a Sequential Learning Process. ACM Trans. Inf. Syst. 42(5): 133:1-133:31 (2024)
[c477]
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  - conf/aaai/Liu0Z0RGC24
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Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng:
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. AAAI 2024: 8832-8840
[c476]
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Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. AAAI 2024: 16614-16622
[c475]
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  - conf/acl/XuPYMSCZ24
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Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. ACL (1) 2024: 133-145
[c474]
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Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Plot Retrieval as an Assessment of Abstract Semantic Association. ACL (Student Research Workshop) 2024: 146-161
[c473]
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Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng:
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. ACL (Findings) 2024: 1178-1192
[c472]
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Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng:
LPNL: Scalable Link Prediction with Large Language Models. ACL (Findings) 2024: 3615-3625
[c471]
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  - conf/acl/Yang0MLYC24
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Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng:
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. ACL (Findings) 2024: 5419-5437
[c470]
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Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng:
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? ACL (1) 2024: 6207-6227
[c469]
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Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, Xiang Li, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction. ACL (1) 2024: 8758-8779
[c468]
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Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. ACL (Findings) 2024: 10303-10317
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Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. ACL (Findings) 2024: 11375-11388
[c466]
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Guoxin Chen, Fangda Guo, Yongqing Wang, Yanghao Liu, Peiying Yu, Huawei Shen, Xueqi Cheng:
FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks. CIKM 2024: 207-217
[c465]
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Saiping Guan, Jiyao Wei, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs. CIKM 2024: 695-705
[c464]
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Oliver Young, Yixing Fan, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Xueqi Cheng:
GaQR: An Efficient Generation-augmented Question Rewriter. CIKM 2024: 4228-4232
[c463]
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Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng:
Class-Incremental Few-Shot Event Detection. LREC/COLING 2024: 3261-3270
[c462]
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Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Few-shot Link Prediction on Hyper-relational Facts. LREC/COLING 2024: 7196-7207
[c461]
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Weicheng Ren, Zixuan Li, Xiaolong Jin, Long Bai, Miao Su, Yantao Liu, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
Nested Event Extraction upon Pivot Element Recognition. LREC/COLING 2024: 12127-12137
[c460]
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Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Qsnail: A Questionnaire Dataset for Sequential Question Generation. LREC/COLING 2024: 13407-13418
[c459]
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Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo, Xueqi Cheng:
Selective Temporal Knowledge Graph Reasoning. LREC/COLING 2024: 14555-14566
[c458]
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Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
TEA: Test-Time Energy Adaptation. CVPR 2024: 23901-23911
[c457]
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Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng:
History Driven Sampling for Scalable Graph Neural Networks. DASFAA (6) 2024: 364-374
[c456]
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Mingkun Zhang, Jianing Li, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Classifier Guidance Enhances Diffusion-Based Adversarial Purification by Preserving Predictive Information. ECAI 2024: 2234-2241
[c455]
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Run-Ze Fan, Yixing Fan, Jiangui Chen, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation. ECIR (1) 2024: 39-55
[c454]
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Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng:
Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning. ECIR (4) 2024: 194-209
[c453]
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Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework. EMNLP (Findings) 2024: 2380-2393
[c452]
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Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. EMNLP 2024: 5263-5274
[c451]
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Sihui Yang, Keping Bi, Wanqing Cui, Jiafeng Guo, Xueqi Cheng:
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs. EMNLP (Findings) 2024: 6985-7000
[c450]
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Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng:
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. EMNLP (Findings) 2024: 11071-11083
[c449]
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Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Cheng:
SLANG: New Concept Comprehension of Large Language Models. EMNLP 2024: 12558-12575
[c448]
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Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng:
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration. EMNLP 2024: 14131-14143
[c447]
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Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts. EMNLP 2024: 15284-15298
[c446]
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Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng:
SACH: Significant-Attributed Community Search in Heterogeneous Information Networks. ICDE 2024: 3283-3296
[c445]
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Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng:
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract]. ICDE 2024: 5741-5742
[c444]
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Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr:
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. ICLR 2024
[c443]
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Yantao Liu, Zixuan Li, Xiaolong Jin, Yucan Guo, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
An In-Context Schema Understanding Method for Knowledge Base Question Answering. KSEM (1) 2024: 419-434
[c442]
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  - conf/mir/HouPSC24
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Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. ICMR 2024: 394-403
[c441]
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Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng:
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue. NAACL-HLT (Findings) 2024: 3925-3951
[c440]
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Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Generative Retrieval Meets Multi-Graded Relevance. NeurIPS 2024
[c439]
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Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng:
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense. NeurIPS 2024
[c438]
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Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation. NeurIPS 2024
[c437]
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Yucan Guo, Zixuan Li, Xiaolong Jin, Yantao Liu, Yutao Zeng, Wenxuan Liu, Xiang Li, Pan Yang, Long Bai, Jiafeng Guo, Xueqi Cheng:
Retrieval-Augmented Code Generation for Universal Information Extraction. NLPCC (2) 2024: 30-42
[c436]
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Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. RecSys 2024: 680-689
[c435]
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Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng:
Graph Summarization for Preserving Spectral Characteristics. SDM 2024: 271-279
[c434]
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Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng:
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images. SIGIR 2024: 208-217
[c433]
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Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. SIGIR 2024: 1391-1400
[c432]
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Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation. SIGIR 2024: 1733-1742
[c431]
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Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Are Large Language Models Good at Utility Judgments? SIGIR 2024: 1941-1951
[c430]
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Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng:
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. SIGIR 2024: 2548-2552
[c429]
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Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng:
A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. WSDM 2024: 674-682
[c428]
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Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng:
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. WWW 2024: 1330-1340
[c427]
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Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. WWW 2024: 1362-1373
[i241]
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  - journals/corr/abs-2401-03648
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Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng:
Reproducibility Analysis and Enhancements for Multi-Aspect Dense Retriever with Aspect Learning. CoRR abs/2401.03648 (2024)
[i240]
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  - journals/corr/abs-2401-11911
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Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng:
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts for Open-Domain QA? CoRR abs/2401.11911 (2024)
[i239]
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Fangda Guo, Xuanpu Luo, Yanghao Liu, Guoxin Chen, Yongqing Wang, Huawei Shen, Xueqi Cheng:
ESC: Edge-attributed Skyline Community Search in Large-scale Bipartite Graphs. CoRR abs/2401.12895 (2024)
[i238]
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  - journals/corr/abs-2401-17723
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Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks. CoRR abs/2401.17723 (2024)
[i237]
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  - journals/corr/abs-2402-00904
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Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu, Huawei Shen, Xueqi Cheng:
Graph Domain Adaptation: Challenges, Progress and Prospects. CoRR abs/2402.00904 (2024)
[i236]
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  - journals/corr/abs-2402-02764
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Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng:
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. CoRR abs/2402.02764 (2024)
[i235]
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  - journals/corr/abs-2402-06220
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Lu Chen, Wei Huang, Ruqing Zhang, Wei Chen, Jiafeng Guo, Xueqi Cheng:
A Unified Causal View of Instruction Tuning. CoRR abs/2402.06220 (2024)
[i234]
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  - journals/corr/abs-2402-07140
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Yuyao Ge, Shenghua Liu, Wenjie Feng, Lingrui Mei, Lizhe Chen, Xueqi Cheng:
Graph Descriptive Order Improves Reasoning with Large Language Model. CoRR abs/2402.07140 (2024)
[i233]
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  - journals/corr/abs-2402-09656
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Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng:
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. CoRR abs/2402.09656 (2024)
[i232]
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Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng:
Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models. CoRR abs/2402.10612 (2024)
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Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. CoRR abs/2402.11457 (2024)
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Zihao Wei, Liang Pang, Hanxing Ding, Jingcheng Deng, Huawei Shen, Xueqi Cheng:
Stable Knowledge Editing in Large Language Models. CoRR abs/2402.13048 (2024)
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Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Event-aware Video Corpus Moment Retrieval. CoRR abs/2402.13566 (2024)
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Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. CoRR abs/2402.13576 (2024)
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Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng:
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. CoRR abs/2402.13625 (2024)
[i226]
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Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Qsnail: A Questionnaire Dataset for Sequential Question Generation. CoRR abs/2402.14272 (2024)
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Jiafeng Guo, Changjiang Zhou, Ruqing Zhang, Jiangui Chen, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks. CoRR abs/2402.16767 (2024)
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Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. CoRR abs/2402.18150 (2024)
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  - journals/corr/abs-2403-07969
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Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, Xiang Li, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction. CoRR abs/2403.07969 (2024)
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  - journals/corr/abs-2403-12499
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Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Listwise Generative Retrieval Models via a Sequential Learning Process. CoRR abs/2403.12499 (2024)
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Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Are Large Language Models Good at Utility Judgments? CoRR abs/2403.19216 (2024)
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Junkai Zhou, Liang Pang, Ya Jing, Jia Gu, Huawei Shen, Xueqi Cheng:
Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent. CoRR abs/2403.19275 (2024)
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Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng:
Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark. CoRR abs/2404.00216 (2024)
[i218]
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Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. CoRR abs/2404.01574 (2024)
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Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo, Xueqi Cheng:
Selective Temporal Knowledge Graph Reasoning. CoRR abs/2404.01695 (2024)
[i216]
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Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng:
Class-Incremental Few-Shot Event Detection. CoRR abs/2404.01767 (2024)
[i215]
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Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng:
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models. CoRR abs/2404.04990 (2024)
[i214]
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Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng:
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation. CoRR abs/2404.09043 (2024)
[i213]
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  - journals/corr/abs-2405-11613
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Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Pengliang Ji, Xueqi Cheng:
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts. CoRR abs/2405.11613 (2024)
[i212]
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  - journals/corr/abs-2405-15349
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Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng:
UnKE: Unstructured Knowledge Editing in Large Language Models. CoRR abs/2405.15349 (2024)
[i211]
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  - journals/corr/abs-2405-16224
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Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng:
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. CoRR abs/2405.16224 (2024)
[i210]
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Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
Unveil the Duality of Retrieval-Augmented Generation: Theoretical Analysis and Practical Solution. CoRR abs/2406.00944 (2024)
[i209]
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Hengran Zhang, Keping Bi, Jiafeng Guo, Xueqi Cheng:
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy. CoRR abs/2406.11290 (2024)
[i208]
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Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Jiayi Mao, Xueqi Cheng:
"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak. CoRR abs/2406.11668 (2024)
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Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr:
Edge Classification on Graphs: New Directions in Topological Imbalance. CoRR abs/2406.11685 (2024)
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Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng:
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. CoRR abs/2406.12468 (2024)
[i205]
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Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng:
ALiiCE: Evaluating Positional Fine-grained Citation Generation. CoRR abs/2406.13375 (2024)
[i204]
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Yuchen Wen, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective. CoRR abs/2406.14023 (2024)
[i203]
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  - journals/corr/abs-2407-06992
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Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective. CoRR abs/2407.06992 (2024)
[i202]
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Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. CoRR abs/2407.11504 (2024)
[i201]
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  - journals/corr/abs-2407-18556
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Saiping Guan, Jiyao Wei, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs. CoRR abs/2407.18556 (2024)
[i200]
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  - journals/corr/abs-2408-05900
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Mingkun Zhang, Jianing Li, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information. CoRR abs/2408.05900 (2024)
[i199]
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  - journals/corr/abs-2409-10132
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Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Junfeng Fang, Xueqi Cheng:
StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models. CoRR abs/2409.10132 (2024)
[i198]
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Sihui Yang, Keping Bi, Wanqing Cui, Jiafeng Guo, Xueqi Cheng:
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs. CoRR abs/2409.14744 (2024)
[i197]
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Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. CoRR abs/2409.14781 (2024)
[i196]
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Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework. CoRR abs/2409.16146 (2024)
[i195]
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Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. CoRR abs/2409.17476 (2024)
[i194]
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Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Generative Retrieval Meets Multi-Graded Relevance. CoRR abs/2409.18409 (2024)
[i193]
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Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng:
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration. CoRR abs/2410.01285 (2024)
[i192]
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  - journals/corr/abs-2410-02684
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Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Ruibin Yuan, Xueqi Cheng:
HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router. CoRR abs/2410.02684 (2024)
[i191]
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  - journals/corr/abs-2410-09398
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Yige Yuan, Bingbing Xu, Teng Xiao, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
MITA: Bridging the Gap between Model and Data for Test-time Adaptation. CoRR abs/2410.09398 (2024)
[i190]
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  - journals/corr/abs-2410-12662
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Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng:
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models. CoRR abs/2410.12662 (2024)
[i189]
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  - journals/corr/abs-2410-19214
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Xueqi Cheng, Catherine Yang, Yuying Zhao, Yu Wang, Hamid Karimi, Tyler Derr:
A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions. CoRR abs/2410.19214 (2024)
[i188]
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  - journals/corr/abs-2410-22844
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Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation. CoRR abs/2410.22844 (2024)
[i187]
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Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng:
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense. CoRR abs/2410.23091 (2024)
[i186]
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  - journals/corr/abs-2411-04794
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Yuxin Zuo, Wenxuan Jiang, Wenxuan Liu, Zixuan Li, Long Bai, Hanbin Wang, Yutao Zeng, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
AlignXIE: Improving Multilingual Information Extraction by Cross-Lingual Alignment. CoRR abs/2411.04794 (2024)
[i185]
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Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng:
Fact-Level Confidence Calibration and Self-Correction. CoRR abs/2411.13343 (2024)
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  - journals/corr/abs-2412-18768
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Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Maarten de Rijke, Xueqi Cheng:
On the Robustness of Generative Information Retrieval Models. CoRR abs/2412.18768 (2024)
[i183]
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Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-box Neural Ranking Models. CoRR abs/2412.18770 (2024)
2023
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Jiangli Shao, Yongqing Wang, Hao Gao, Boshen Shi, Huawei Shen, Xueqi Cheng:
AsyLink: user identity linkage from text to geo-location via sparse labeled data. Neurocomputing 515: 174-184 (2023)
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Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data. Inf. Process. Manag. 60(4): 103361 (2023)
[j86]
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Junjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia, Xueqi Cheng:
Negative Can Be Positive: Signed Graph Neural Networks for Recommendation. Inf. Process. Manag. 60(4): 103403 (2023)
[j85]
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Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Fei Sun, Xueqi Cheng:
Adversarial camouflage for node injection attack on graphs. Inf. Sci. 649: 119611 (2023)
[j84]
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Junjie Huang, Win-Bin Huang, Yi Bu, Qi Cao, Huawei Shen, Xueqi Cheng:
What makes a successful rebuttal in computer science conferences?: A perspective on social interaction. J. Informetrics 17(3): 101427 (2023)
[j83]
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Boshen Shi, Yongqing Wang, Jiangli Shao, Huawei Shen, Yangyang Li, Xueqi Cheng:
Node classification across networks via category-level domain adaptive network embedding. Knowl. Inf. Syst. 65(12): 5479-5502 (2023)
[j82]
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Yinghan Shen, Xuhui Jiang, Zijian Li, Yuanzhuo Wang, Chengjin Xu, Huawei Shen, Xueqi Cheng:
UniSKGRep: A unified representation learning framework of social network and knowledge graph. Neural Networks 158: 142-153 (2023)
[j81]
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Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Visual Reasoning: From State to Transformation. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11352-11364 (2023)
[j80]
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Wenjie Feng, Shenghua Liu, Xueqi Cheng:
Hierarchical Dense Pattern Detection in Tensors. ACM Trans. Knowl. Discov. Data 17(6): 81:1-81:29 (2023)
[j79]
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Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation. IEEE Trans. Knowl. Data Eng. 35(1): 672-685 (2023)
[j78]
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Shenghua Liu, Bin Zhou, Quan Ding, Bryan Hooi, Zhengbo Zhang, Huawei Shen, Xueqi Cheng:
Time Series Anomaly Detection With Adversarial Reconstruction Networks. IEEE Trans. Knowl. Data Eng. 35(4): 4293-4306 (2023)
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Saiping Guan, Xueqi Cheng, Long Bai, Fujun Zhang, Zixuan Li, Yutao Zeng, Xiaolong Jin, Jiafeng Guo:
What is Event Knowledge Graph: A Survey. IEEE Trans. Knowl. Data Eng. 35(7): 7569-7589 (2023)
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Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng:
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study. IEEE Trans. Knowl. Data Eng. 35(12): 12770-12784 (2023)
[j75]
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Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Are Neural Ranking Models Robust? ACM Trans. Inf. Syst. 41(2): 29:1-29:36 (2023)
[j74]
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Chen Wu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models. ACM Trans. Inf. Syst. 41(4): 89:1-89:27 (2023)
[c426]
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Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng:
A Provable Framework of Learning Graph Embeddings via Summarization. AAAI 2023: 4946-4953
[c425]
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Chenhao Li, Qiang Qiu, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng:
Learning Adversarially Robust Sparse Networks via Weight Reparameterization. AAAI 2023: 8527-8535
[c424]
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Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng:
Rich Event Modeling for Script Event Prediction. AAAI 2023: 12553-12561
[c423]
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  - conf/acl/XuPSC23
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Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval. ACL (1) 2023: 6620-6635
[c422]
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Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng:
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation. ACL (1) 2023: 9945-9959
[c421]
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Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
Semantic Structure Enhanced Event Causality Identification. ACL (1) 2023: 10901-10913
[c420]
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Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen:
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. CIKM 2023: 99-109
[c419]
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Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng:
L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. CIKM 2023: 183-192
[c418]
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Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
Causality and Independence Enhancement for Biased Node Classification. CIKM 2023: 203-212
[c417]
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Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Inducing Causal Structure for Abstractive Text Summarization. CIKM 2023: 213-223
[c416]
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Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Continual Learning for Generative Retrieval over Dynamic Corpora. CIKM 2023: 306-315
[c415]
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Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. CIKM 2023: 1647-1656
[c414]
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Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng:
TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning. CIKM 2023: 2208-2218
[c413]
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  - conf/cikm/ShaoWGSSC23a
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Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng:
CANA: Causal-enhanced Social Network Alignment. CIKM 2023: 2219-2228
[c412]
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Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
Improving Graph Domain Adaptation with Network Hierarchy. CIKM 2023: 2249-2258
[c411]
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Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. CIKM 2023: 5396-5400
[c410]
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  - conf/dasfaa/HuangCXZXSC23
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Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng:
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. DASFAA (2) 2023: 373-388
[c409]
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Yiyi Liu, Ruqing Zhang, Yixing Fan, Jiafeng Guo, Xueqi Cheng:
Prompt Tuning with Contradictory Intentions for Sarcasm Recognition. EACL 2023: 328-339
[c408]
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Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Saiping Guan, Yutao Zeng, Jiafeng Guo, Xueqi Cheng:
Temporal Knowledge Graph Reasoning Based on N-tuple Modeling. EMNLP (Findings) 2023: 1090-1100
[c407]
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  - conf/emnlp/WuPSCC23
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Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
LLMDet: A Third Party Large Language Models Generated Text Detection Tool. EMNLP (Findings) 2023: 2113-2133
[c406]
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Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng:
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. EMNLP (Findings) 2023: 2500-2510
[c405]
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Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. EMNLP (Findings) 2023: 4424-4436
[c404]
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Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. EMNLP (Findings) 2023: 6373-6384
[c403]
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  - conf/kdd/ZhangCFXZSC23
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Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng:
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph. KDD 2023: 3309-3320
[c402]
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Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng:
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. KDD 2023: 4904-4913
[c401]
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Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng:
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training. NeurIPS 2023
[c400]
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  - conf/sigir/Chen0GR0FC23
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Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yiqun Liu, Yixing Fan, Xueqi Cheng:
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. SIGIR 2023: 1448-1457
[c399]
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Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. SIGIR 2023: 1700-1709
[c398]
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  - conf/sigir/LiuCSWTC23
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Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng:
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. SIGIR 2023: 1801-1805
[c397]
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  - conf/sigir-ap/NiBGC23
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Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
A Comparative Study of Training Objectives for Clarification Facet Generation. SIGIR-AP 2023: 1-10
[c396]
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  - conf/www/BiXSXSC23
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Wendong Bi, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen, Xueqi Cheng:
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. WWW 2023: 274-285
[i182]
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  - journals/corr/abs-2301-03765
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Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. CoRR abs/2301.03765 (2023)
[i181]
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  - journals/corr/abs-2301-13492
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Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng:
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. CoRR abs/2301.13492 (2023)
[i180]
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  - journals/corr/abs-2301-13606
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Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Multi-video Moment Ranking with Multimodal Clue. CoRR abs/2301.13606 (2023)
[i179]
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  - journals/corr/abs-2302-00873
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Wendong Bi, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen, Xueqi Cheng:
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. CoRR abs/2302.00873 (2023)
[i178]
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Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng:
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. CoRR abs/2302.02317 (2023)
[i177]
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Shuchang Tao, Huawei Shen, Qi Cao, Yunfan Wu, Liang Hou, Xueqi Cheng:
Graph Adversarial Immunization for Certifiable Robustness. CoRR abs/2302.08051 (2023)
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Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
Search-in-the-Chain: Towards the Accurate, Credible and Traceable Content Generation for Complex Knowledge-intensive Tasks. CoRR abs/2304.14732 (2023)
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Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yiqun Liu, Yixing Fan, Xueqi Cheng:
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. CoRR abs/2304.14856 (2023)
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Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. CoRR abs/2304.14867 (2023)
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Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Visual Reasoning: from State to Transformation. CoRR abs/2305.01668 (2023)
[i172]
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Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Visual Transformation Telling. CoRR abs/2305.01928 (2023)
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Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng:
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. CoRR abs/2305.05204 (2023)
[i170]
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Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Few-shot Link Prediction on N-ary Facts. CoRR abs/2305.06104 (2023)
[i169]
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Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval. CoRR abs/2305.11052 (2023)
[i168]
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Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng:
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation. CoRR abs/2305.11130 (2023)
[i167]
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Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. CoRR abs/2305.12785 (2023)
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Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
Semantic Structure Enhanced Event Causality Identification. CoRR abs/2305.12792 (2023)
[i165]
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Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
LLMDet: A Large Language Models Detection Tool. CoRR abs/2305.15004 (2023)
[i164]
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Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng:
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. CoRR abs/2305.15115 (2023)
[i163]
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Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng:
IDEA: Invariant Causal Defense for Graph Adversarial Robustness. CoRR abs/2305.15792 (2023)
[i162]
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Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. CoRR abs/2305.15835 (2023)
[i161]
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Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Xueqi Cheng:
On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective. CoRR abs/2306.12756 (2023)
[i160]
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Junjie Huang, Win-Bin Huang, Yi Bu, Qi Cao, Huawei Shen, Xueqi Cheng:
What makes a successful rebuttal in computer science conferences? : A perspective on social interaction. CoRR abs/2307.03371 (2023)
[i159]
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Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr:
Fairness and Diversity in Recommender Systems: A Survey. CoRR abs/2307.04644 (2023)
[i158]
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Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. CoRR abs/2307.11341 (2023)
[i157]
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Yugao Zhu, Shenghua Liu, Wenjie Feng, Xueqi Cheng:
Fast Searching The Densest Subgraph And Decomposition With Local Optimality. CoRR abs/2307.15969 (2023)
[i156]
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Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen:
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. CoRR abs/2308.09499 (2023)
[i155]
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Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. CoRR abs/2308.09861 (2023)
[i154]
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Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng:
L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. CoRR abs/2308.11512 (2023)
[i153]
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Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Inducing Causal Structure for Abstractive Text Summarization. CoRR abs/2308.12888 (2023)
[i152]
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Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng:
Significant-attributed Community Search in Heterogeneous Information Networks. CoRR abs/2308.13244 (2023)
[i151]
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Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Continual Learning for Generative Retrieval over Dynamic Corpora. CoRR abs/2308.14968 (2023)
[i150]
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  - journals/corr/abs-2308-16375
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Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr:
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. CoRR abs/2308.16375 (2023)
[i149]
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Kaike Zhang, Qi Cao, Fei Sun, Yunfan Wu, Shuchang Tao, Huawei Shen, Xueqi Cheng:
Robust Recommender System: A Survey and Future Directions. CoRR abs/2309.02057 (2023)
[i148]
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Zhilei Hu, Zixuan Li, Daozhu Xu, Long Bai, Cheng Jin, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
ProtoEM: A Prototype-Enhanced Matching Framework for Event Relation Extraction. CoRR abs/2309.12892 (2023)
[i147]
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Weicheng Ren, Zixuan Li, Xiaolong Jin, Long Bai, Miao Su, Yantao Liu, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
Nested Event Extraction upon Pivot Element Recogniton. CoRR abs/2309.12960 (2023)
[i146]
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  - journals/corr/abs-2310-00703
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Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
A Comparative Study of Training Objectives for Clarification Facet Generation. CoRR abs/2310.00703 (2023)
[i145]
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Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr:
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. CoRR abs/2310.04612 (2023)
[i144]
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  - journals/corr/abs-2310-06119
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Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng:
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. CoRR abs/2310.06119 (2023)
[i143]
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  - journals/corr/abs-2310-09586
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Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
Causality and Independence Enhancement for Biased Node Classification. CoRR abs/2310.09586 (2023)
[i142]
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  - journals/corr/abs-2310-10567
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Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng:
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. CoRR abs/2310.10567 (2023)
[i141]
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Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. CoRR abs/2310.11675 (2023)
[i140]
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Lulu Yu, Keping Bi, Jiafeng Guo, Xueqi Cheng:
CIR at the NTCIR-17 ULTRE-2 Task. CoRR abs/2310.11852 (2023)
[i139]
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  - journals/corr/abs-2310-14174
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Yantao Liu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
An In-Context Schema Understanding Method for Knowledge Base Question Answering. CoRR abs/2310.14174 (2023)
[i138]
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  - journals/corr/abs-2311-01666
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Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Plot Retrieval as an Assessment of Abstract Semantic Association. CoRR abs/2311.01666 (2023)
[i137]
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  - journals/corr/abs-2311-02834
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Yinqiong Cai, Yixing Fan, Keping Bi, Jiafeng Guo, Wei Chen, Ruqing Zhang, Xueqi Cheng:
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval. CoRR abs/2311.02834 (2023)
[i136]
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Yucan Guo, Zixuan Li, Xiaolong Jin, Yantao Liu, Yutao Zeng, Wenxuan Liu, Xiang Li, Pan Yang, Long Bai, Jiafeng Guo, Xueqi Cheng:
Retrieval-Augmented Code Generation for Universal Information Extraction. CoRR abs/2311.02962 (2023)
[i135]
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Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng:
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue. CoRR abs/2311.07445 (2023)
[i134]
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  - journals/corr/abs-2311-08919
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Guoxin Chen, Fangda Guo, Yongqing Wang, Yanghao Liu, Peiying Yu, Huawei Shen, Xueqi Cheng:
FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks. CoRR abs/2311.08919 (2023)
[i133]
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Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng:
AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval. CoRR abs/2311.14084 (2023)
[i132]
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Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
TEA: Test-time Energy Adaptation. CoRR abs/2311.14402 (2023)
[i131]
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Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng:
A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. CoRR abs/2312.02538 (2023)
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Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng:
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. CoRR abs/2312.10329 (2023)
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Run-Ze Fan, Yixing Fan, Jiangui Chen, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
RIGHT: Retrieval-augmented Generation for Mainstream Hashtag Recommendation. CoRR abs/2312.10466 (2023)
2022
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Lei Lin, Huawei Shen, Shenghua Liu, Easton Li Xu, Xueqi Cheng:
On the Cybernetics of Crowdsourcing Innovation: A Process Model. IEEE Access 10: 27255-27269 (2022)
[j72]
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  - journals/entropy/GaoWSSC22
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Hao Gao, Yongqing Wang, Jiangli Shao, Huawei Shen, Xueqi Cheng:
User Identity Linkage across Social Networks with the Enhancement of Knowledge Graph and Time Decay Function. Entropy 24(11): 1603 (2022)
[j71]
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Yinghan Shen, Xuhui Jiang, Zijian Li, Yuanzhuo Wang, Xiaolong Jin, Shengjie Ma, Xueqi Cheng:
NEAWalk: Inferring missing social interactions via topological-temporal embeddings of social groups. Knowl. Inf. Syst. 64(10): 2771-2795 (2022)
[j70]
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Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Keting Cen, Xueqi Cheng:
Location-aware convolutional neural networks for graph classification. Neural Networks 155: 74-83 (2022)
[j69]
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Manling Li, Yuanzhuo Wang, Denghui Zhang, Yantao Jia, Xueqi Cheng:
Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach. IEEE Trans. Big Data 8(3): 630-643 (2022)
[j68]
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Ruqing Zhang, Jiafeng Guo, Lu Chen, Yixing Fan, Xueqi Cheng:
A Review on Question Generation from Natural Language Text. ACM Trans. Inf. Syst. 40(1): 14:1-14:43 (2022)
[j67]
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Jiafeng Guo, Yinqiong Cai, Yixing Fan, Fei Sun, Ruqing Zhang, Xueqi Cheng:
Semantic Models for the First-Stage Retrieval: A Comprehensive Review. ACM Trans. Inf. Syst. 40(4): 66:1-66:42 (2022)
[c395]
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Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng:
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. ACL (2) 2022: 290-296
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Guoxin Chen, Yongqing Wang, Jiangli Shao, Boshen Shi, Huawei Shen, Xueqi Cheng:
InDNI: An Infection Time Independent Method for Diffusion Network Inference. CCIR 2022: 63-75
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Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng:
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. CIKM 2022: 118-127
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Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan, Xueqi Cheng:
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. CIKM 2022: 191-200
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Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng:
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. CIKM 2022: 1471-1480
[c390]
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Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng:
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. CIKM 2022: 2128-2137
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Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. CIKM 2022: 2290-2300
[c388]
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Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Discriminative Language Model via Self-Teaching for Dense Retrieval. CIKM 2022: 3858-3862
[c387]
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Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval. CIKM 2022: 4314-4318
[c386]
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Kailin Zhao, Xiaolong Jin, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification. COLING 2022: 2065-2074
[c385]
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Kun Zhang, Yunqi Qiu, Yuanzhuo Wang, Long Bai, Wei Li, Xuhui Jiang, Huawei Shen, Xueqi Cheng:
Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases. COLING 2022: 6105-6114
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Sihao Yu, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Zizhen Wang, Xueqi Cheng:
A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty. CVPR 2022: 70-79
[c383]
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  - conf/emnlp/SunFG0C22
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Wen Sun, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
Visual Named Entity Linking: A New Dataset and A Baseline. EMNLP (Findings) 2022: 2403-2415
[c382]
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Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng:
Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event Detection. EMNLP (Findings) 2022: 6266-6275
[c381]
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Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo, Xueqi Cheng:
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. EMNLP (Findings) 2022: 7328-7338
[c380]
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Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng:
Conditional GANs with Auxiliary Discriminative Classifier. ICML 2022: 8888-8902
[c379]
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Zhiwei Wang, Yan Guo, Yangyuanxiang Xu, Yuanhai Xue, Yue Liu, Huawei Shen, Xueqi Cheng:
SCIEnt: A Semantic-Feature-Based Framework for Core Information Extraction from Web Pages. ICONIP (3) 2022: 311-323
[c378]
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Yuanzheng Wang, Xueqi Cheng, Yixing Fan, Xiaofei Zhu, Huasheng Liang, Qiang Yan, Jiafeng Guo:
MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities. IJCAI 2022: 4404-4410
[c377]
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Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng:
Towards Powerful Graph Contrastive Learning without Negative Examples. IJCNN 2022: 1-9
[c376]
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Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Region-based Cross-modal Retrieval. IJCNN 2022: 1-8
[c375]
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  - conf/kdd/BiXSWSC22
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Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng:
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. KDD 2022: 2712-2720
[c374]
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Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Muhan Zhang, Xueqi Cheng:
Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman. LoG 2022: 17
[c373]
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Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng:
INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering. SIGIR 2022: 91-101
[c372]
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Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. SIGIR 2022: 825-836
[c371]
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Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Few-Shot Stance Detection via Target-Aware Prompt Distillation. SIGIR 2022: 837-847
[c370]
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Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng:
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction. SIGIR 2022: 848-858
[c369]
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Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
GERE: Generative Evidence Retrieval for Fact Verification. SIGIR 2022: 2184-2189
[c368]
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  - conf/wsdm/KeGSC22
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Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic. WSDM 2022: 467-475
[c367]
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Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng:
MonLAD: Money Laundering Agents Detection in Transaction Streams. WSDM 2022: 976-986
[c366]
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  - conf/www/CaoSLGC22
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Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng:
PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction. WWW (Companion Volume) 2022: 243-247
[i128]
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  - journals/corr/abs-2201-10051
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Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng:
MonLAD: Money Laundering Agents Detection in Transaction Streams. CoRR abs/2201.10051 (2022)
[i127]
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  - journals/corr/abs-2203-07782
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Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng:
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. CoRR abs/2203.07782 (2022)
[i126]
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  - journals/corr/abs-2203-11683
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Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Xueqi Cheng:
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification. CoRR abs/2203.11683 (2022)
[i125]
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  - journals/corr/abs-2204-01321
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Chen Wu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models. CoRR abs/2204.01321 (2022)
[i124]
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  - journals/corr/abs-2204-02725
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Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. CoRR abs/2204.02725 (2022)
[i123]
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  - journals/corr/abs-2204-05511
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Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
GERE: Generative Evidence Retrieval for Fact Verification. CoRR abs/2204.05511 (2022)
[i122]
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  - journals/corr/abs-2204-08159
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Quan Ding, Shenghua Liu, Bin Zhou, Huawei Shen, Xueqi Cheng:
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors. CoRR abs/2204.08159 (2022)
[i121]
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  - journals/corr/abs-2204-10641
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Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng:
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction. CoRR abs/2204.10641 (2022)
[i120]
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  - journals/corr/abs-2204-11545
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Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. CoRR abs/2204.11545 (2022)
[i119]
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  - journals/corr/abs-2205-15677
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Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng:
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training. CoRR abs/2205.15677 (2022)
[i118]
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  - journals/corr/abs-2206-13214
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Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Few-Shot Stance Detection via Target-Aware Prompt Distillation. CoRR abs/2206.13214 (2022)
[i117]
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Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng:
Learning node embeddings via summary graphs: a brief theoretical analysis. CoRR abs/2207.01189 (2022)
[i116]
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  - journals/corr/abs-2208-01819
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Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng:
Adversarial Camouflage for Node Injection Attack on Graphs. CoRR abs/2208.01819 (2022)
[i115]
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  - journals/corr/abs-2208-07652
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Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan, Xueqi Cheng:
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. CoRR abs/2208.07652 (2022)
[i114]
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  - journals/corr/abs-2208-09846
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Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
A Contrastive Pre-training Approach to Learn Discriminative Autoencoder for Dense Retrieval. CoRR abs/2208.09846 (2022)
[i113]
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Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng:
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. CoRR abs/2208.09847 (2022)
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Jiangli Shao, Yongqing Wang, Boshen Shi, Hao Gao, Huawei Shen, Xueqi Cheng:
Adversarial for Social Privacy: A Poisoning Strategy to Degrade User Identity Linkage. CoRR abs/2209.00269 (2022)
[i111]
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Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng:
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. CoRR abs/2209.05072 (2022)
[i110]
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Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng:
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. CoRR abs/2209.06691 (2022)
[i109]
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  - journals/corr/abs-2210-09708
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Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo, Xueqi Cheng:
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. CoRR abs/2210.09708 (2022)
[i108]
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  - journals/corr/abs-2210-10592
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Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng:
DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning. CoRR abs/2210.10592 (2022)
[i107]
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  - journals/corr/abs-2210-16023
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Sihao Yu, Fei Sun, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
LegoNet: A Fast and Exact Unlearning Architecture. CoRR abs/2210.16023 (2022)
[i106]
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  - journals/corr/abs-2211-04872
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Wenxiang Sun, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
Visual Named Entity Linking: A New Dataset and A Baseline. CoRR abs/2211.04872 (2022)
[i105]
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  - journals/corr/abs-2211-10929
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Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng:
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective. CoRR abs/2211.10929 (2022)
[i104]
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  - journals/corr/abs-2212-00229
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Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. CoRR abs/2212.00229 (2022)
[i103]
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  - journals/corr/abs-2212-08287
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Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng:
Rich Event Modeling for Script Event Prediction. CoRR abs/2212.08287 (2022)
2021
[j66]
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Jingwei Liu, Yi Gu, Shumin Han, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng:
Att-FPA: Boosting Feature Perceive for Object Detection. IEEE Access 9: 47380-47390 (2021)
[j65]
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Qiaoling Zhong, Zhibin Zhang, Qiang Qiu, Xueqi Cheng:
Roulette: A Pruning Framework to Train a Sparse Neural Network From Scratch. IEEE Access 9: 51134-51145 (2021)
[j64]
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Jingwei Liu, Yi Gu, Shumin Han, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng:
Feature Rescaling and Fusion for Tiny Object Detection. IEEE Access 9: 62946-62955 (2021)
[j63]
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Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu, Min Zhang, Peng Zhang, Qi Zhang:
Information retrieval: a view from the Chinese IR community. Frontiers Comput. Sci. 15(1): 151601 (2021)
[j62]
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Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection. Future Gener. Comput. Syst. 115: 236-250 (2021)
[j61]
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Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Incorporating explicit syntactic dependency for aspect level sentiment classification. Neurocomputing 456: 394-406 (2021)
[j60]
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Qi Cao, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Learning diffusion model-free and efficient influence function for influence maximization from information cascades. Knowl. Inf. Syst. 63(5): 1173-1196 (2021)
[j59]
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Siying Li, Huawei Shen, Peng Bao, Xueqi Cheng:
h_u-index: a unified index to quantify individuals across disciplines. Scientometrics 126(4): 3209-3226 (2021)
[j58]
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Shanshan Lyu, Wentao Ouyang, Yongqing Wang, Huawei Shen, Xueqi Cheng:
Truth Discovery by Claim and Source Embedding. IEEE Trans. Knowl. Data Eng. 33(3): 1264-1275 (2021)
[c365]
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Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
SDGNN: Learning Node Representation for Signed Directed Networks. AAAI 2021: 196-203
[c364]
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Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Learning to Truncate Ranked Lists for Information Retrieval. AAAI 2021: 4453-4461
[c363]
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Bingbing Xu, Huawei Shen, Bing-Jie Sun, Rong An, Qi Cao, Xueqi Cheng:
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field. AAAI 2021: 4537-4545
[c362]
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Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng:
AugSplicing: Synchronized Behavior Detection in Streaming Tensors. AAAI 2021: 4653-4661
[c361]
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Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. AAAI 2021: 7746-7753
[c360]
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Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng:
Sketch and Customize: A Counterfactual Story Generator. AAAI 2021: 12955-12962
[c359]
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  - conf/acl/LiJGLGWC20
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Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs. ACL/IJCNLP (1) 2021: 4732-4743
[c358]
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Boshen Shi, Yongqing Wang, Huawei Shen, Xueqi Cheng:
Aligning Networks by Maximizing Topological Consistency Between Neighborhoods. Big Data (CCF) 2021: 216-232
[c357]
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Hao Gao, Yongqing Wang, Jiangli Shao, Huawei Shen, Xueqi Cheng:
UGCLink: User Identity Linkage by Modeling User Generated Contents with Knowledge Distillation. IEEE BigData 2021: 607-613
[c356]
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Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
FedMatch: Federated Learning Over Heterogeneous Question Answering Data. CIKM 2021: 181-190
[c355]
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  - conf/cikm/HuangSCTC21
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Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng:
Signed Bipartite Graph Neural Networks. CIKM 2021: 740-749
[c354]
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  - conf/cikm/PangLC21
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Liang Pang, Yanyan Lan, Xueqi Cheng:
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. CIKM 2021: 1396-1405
[c353]
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  - conf/cikm/TaoCSHWC21
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Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng:
Single Node Injection Attack against Graph Neural Networks. CIKM 2021: 1794-1803
[c352]
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Jiangli Shao, Yongqing Wang, Hao Gao, Huawei Shen, Yangyang Li, Xueqi Cheng:
Locate Who You Are: Matching Geo-location to Text for User Identity Linkage. CIKM 2021: 3413-3417
[c351]
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  - conf/cvpr/HongLPGC21
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Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Transformation Driven Visual Reasoning. CVPR 2021: 6903-6912
[c350]
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  - conf/emnlp/XiaoPLWSC21
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Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng:
Transductive Learning for Unsupervised Text Style Transfer. EMNLP (1) 2021: 2510-2521
[c349]
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  - conf/emnlp/ZhuPLSC21
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Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Adaptive Information Seeking for Open-Domain Question Answering. EMNLP (1) 2021: 3615-3626
[c348]
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  - conf/emnlp/BaiGGLJC21
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Long Bai, Saiping Guan, Jiafeng Guo, Zixuan Li, Xiaolong Jin, Xueqi Cheng:
Integrating Deep Event-Level and Script-Level Information for Script Event Prediction. EMNLP (1) 2021: 9869-9878
[c347]
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  - conf/ictir/CaiFGZLC21
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Yinqiong Cai, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Yanyan Lan, Xueqi Cheng:
A Discriminative Semantic Ranker for Question Retrieval. ICTIR 2021: 251-260
[c346]
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  - conf/icwsm/HuangSCCC21
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Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng:
How Medical Crowdfunding Helps People? A Large-scale Case Study on the Waterdrop Fundraising. ICWSM 2021: 220-229
[c345]
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Junjie Huang, Huawei Shen, Xueqi Cheng:
SIGNLENS: A Tool for Analyzing People's Polarization Social Relationship Based on Signed Graph Modeling. ICWSM 2021: 1091-1093
[c344]
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  - conf/nips/HouSCC21
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Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng:
Self-Supervised GANs with Label Augmentation. NeurIPS 2021: 13019-13031
[c343]
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  - conf/nips/XiongCPCML21
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Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Zhi-Ming Ma, Yanyan Lan:
Uncertainty Calibration for Ensemble-Based Debiasing Methods. NeurIPS 2021: 13657-13669
[c342]
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  - conf/pakdd/SunZZLCZSC21
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Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng:
CubeFlow: Money Laundering Detection with Coupled Tensors. PAKDD (1) 2021: 78-90
[c341]
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  - conf/pakdd/ZhaoGSC21
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Ruizhuo Zhao, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL Generation. PAKDD (2) 2021: 664-675
[c340]
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Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction. PAKDD (2) 2021: 743-755
[c339]
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  - conf/sdm/ZhouLLSSC21
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Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng:
DPGS: Degree-Preserving Graph Summarization. SDM 2021: 280-288
[c338]
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  - conf/sigir/LiJLGGSWC21
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Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng:
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. SIGIR 2021: 408-417
[c337]
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Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yingyan Li, Xueqi Cheng:
B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval. SIGIR 2021: 1318-1327
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Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, Xueqi Cheng:
PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval. WSDM 2021: 283-291
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Lixin Su, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Jiangui Chen, Yanyan Lan, Xueqi Cheng:
Beyond Relevance: Trustworthy Answer Selection via Consensus Verification. WSDM 2021: 562-570
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Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng:
Adversarial Immunization for Certifiable Robustness on Graphs. WSDM 2021: 698-706
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Yixing Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan, Xueqi Cheng:
A Linguistic Study on Relevance Modeling in Information Retrieval. WWW 2021: 1053-1064
[i102]
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Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
SDGNN: Learning Node Representation for Signed Directed Networks. CoRR abs/2101.02390 (2021)
[i101]
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Liang Pang, Yanyan Lan, Xueqi Cheng:
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. CoRR abs/2101.06423 (2021)
[i100]
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Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Learning to Truncate Ranked Lists for Information Retrieval. CoRR abs/2102.12793 (2021)
[i99]
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Yixing Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan, Xueqi Cheng:
A Linguistic Study on Relevance Modeling in Information Retrieval. CoRR abs/2103.00956 (2021)
[i98]
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Yinqiong Cai, Yixing Fan, Jiafeng Guo, Fei Sun, Ruqing Zhang, Xueqi Cheng:
Semantic Models for the First-stage Retrieval: A Comprehensive Review. CoRR abs/2103.04831 (2021)
[i97]
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Hao Gao, Yongqing Wang, Shanshan Lyu, Huawei Shen, Xueqi Cheng:
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction. CoRR abs/2103.10600 (2021)
[i96]
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Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng:
CubeFlow: Money Laundering Detection with Coupled Tensors. CoRR abs/2103.12411 (2021)
[i95]
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Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng:
Sketch and Customize: A Counterfactual Story Generator. CoRR abs/2104.00929 (2021)
[i94]
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Jiangli Shao, Yongqing Wang, Hao Gao, Huawei Shen, Xueqi Cheng:
Locate Who You Are: Matching Geo-location to Text for Anchor Link Prediction. CoRR abs/2104.09119 (2021)
[i93]
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Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yingyan Li, Xueqi Cheng:
B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval. CoRR abs/2104.09791 (2021)
[i92]
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Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng:
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. CoRR abs/2104.10353 (2021)
[i91]
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Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation. CoRR abs/2104.10424 (2021)
[i90]
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Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs. CoRR abs/2106.00327 (2021)
[i89]
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Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng:
Self-supervised GANs with Label Augmentation. CoRR abs/2106.08601 (2021)
[i88]
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Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng:
Inductive Representation Based Graph Convolution Network for Collaborative Filtering. CoRR abs/2107.05247 (2021)
[i87]
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Yinqiong Cai, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Yanyan Lan, Xueqi Cheng:
A Discriminative Semantic Ranker for Question Retrieval. CoRR abs/2107.08345 (2021)
[i86]
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Liang Hou, Qi Cao, Huawei Shen, Xueqi Cheng:
cGANs with Auxiliary Discriminative Classifier. CoRR abs/2107.10060 (2021)
[i85]
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  - journals/corr/abs-2108-05018
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Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Are Neural Ranking Models Robust? CoRR abs/2108.05018 (2021)
[i84]
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Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
FedMatch: Federated Learning Over Heterogeneous Question Answering Data. CoRR abs/2108.05069 (2021)
[i83]
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Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng:
Pre-training of Temporal Convolutional Neural Networks for Popularity Prediction. CoRR abs/2108.06220 (2021)
[i82]
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Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Toward the Understanding of Deep Text Matching Models for Information Retrieval. CoRR abs/2108.07081 (2021)
[i81]
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Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng:
Signed Bipartite Graph Neural Networks. CoRR abs/2108.09638 (2021)
[i80]
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Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng:
Single Node Injection Attack against Graph Neural Networks. CoRR abs/2108.13049 (2021)
[i79]
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Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Adaptive Information Seeking for Open-Domain Question Answering. CoRR abs/2109.06747 (2021)
[i78]
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Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng:
Transductive Learning for Unsupervised Text Style Transfer. CoRR abs/2109.07812 (2021)
[i77]
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  - journals/corr/abs-2110-15706
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Long Bai, Saiping Guan, Jiafeng Guo, Zixuan Li, Xiaolong Jin, Xueqi Cheng:
Integrating Deep Event-Level and Script-Level Information for Script Event Prediction. CoRR abs/2110.15706 (2021)
[i76]
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  - journals/corr/abs-2111-04104
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Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Yanyan Lan:
Uncertainty Calibration for Ensemble-Based Debiasing Methods. CoRR abs/2111.04104 (2021)
[i75]
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  - journals/corr/abs-2112-15280
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Saiping Guan, Xueqi Cheng, Long Bai, Fujun Zhang, Zixuan Li, Yutao Zeng, Xiaolong Jin, Jiafeng Guo:
What is Event Knowledge Graph: A Survey. CoRR abs/2112.15280 (2021)
2020
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Kai Li, Tong Xu, Shuai Feng, Lisheng Qiao, Hua-Wei Shen, Tian-yang Lv, Xueqi Cheng, En-Hong Chen:
The Propagation Background in Social Networks: Simulating and Modeling. Int. J. Autom. Comput. 17(3): 353-363 (2020)
[j56]
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Xinlong Pan, Haipeng Wang, Xueqi Cheng, Xuan Peng, You He:
Online detection of anomaly behaviors based on multidimensional trajectories. Inf. Fusion 58: 40-51 (2020)
[j55]
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Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng:
A Deep Look into neural ranking models for information retrieval. Inf. Process. Manag. 57(6): 102067 (2020)
[j54]
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  - journals/tois/ZhangGFLC20
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Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Dual-factor Generation Model for Conversation. ACM Trans. Inf. Syst. 38(3): 31:1-31:31 (2020)
[c332]
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  - conf/aaai/LiLLHSHHC20
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Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng:
FlowScope: Spotting Money Laundering Based on Graphs. AAAI 2020: 4731-4738
[c331]
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Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Structure Learning for Headline Generation. AAAI 2020: 9555-9562
[c330]
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Long Bai, Xiaolong Jin, Chuanzhi Zhuang, Xueqi Cheng:
Entity Type Enhanced Neural Model for Distantly Supervised Relation Extraction (Student Abstract). AAAI 2020: 13751-13752
[c329]
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Jialin Su, Yuanzhuo Wang, Xiaolong Jin, Yantao Jia, Xueqi Cheng:
Link Prediction between Group Entities in Knowledge Graphs (Student Abstract). AAAI 2020: 13925-13926
[c328]
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  - conf/acl/GuanJGWC20
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Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
NeuInfer: Knowledge Inference on N-ary Facts. ACL 2020: 6141-6151
[c327]
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  - conf/bmsb/0002XDCL20
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Shuai Ma, Easton Li Xu, Chun Du, Xueqi Cheng, Shiyin Li:
A Novel Dynamic User Admission Scheme for Multi-cell Massive MIMO Systems. BMSB 2020: 1-4
[c326]
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  - conf/ccgrid/LiZZZ0C20
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Bing Li, Zhibin Zhang, Tianqi Zheng, Qiaoling Zhong, Qun Huang, Xueqi Cheng:
Marabunta: Continuous Distributed Processing of Skewed Streams. CCGRID 2020: 252-261
[c325]
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  - conf/cikm/HaoPL0GC20
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Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng:
Ranking Enhanced Dialogue Generation. CIKM 2020: 465-474
[c324]
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  - conf/cikm/QiuZWJBGC20
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Yunqi Qiu, Kun Zhang, Yuanzhuo Wang, Xiaolong Jin, Long Bai, Saiping Guan, Xueqi Cheng:
Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph. CIKM 2020: 1285-1294
[c323]
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  - conf/cikm/SuGZFLC20
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Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Continual Domain Adaptation for Machine Reading Comprehension. CIKM 2020: 1395-1404
[c322]
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  - conf/cikm/ZhangGFLC20
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Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Query Understanding via Intent Description Generation. CIKM 2020: 1823-1832
[c321]
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  - conf/coling/ZengJGGC20
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Yutao Zeng, Xiaolong Jin, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings. COLING 2020: 3084-3094
[c320]
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  - conf/ecai/HouSC20
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Liang Hou, Huawei Shen, Xueqi Cheng:
Dual Rejection Sampling for Wasserstein Auto-Encoders. ECAI 2020: 1190-1197
[c319]
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  - conf/emnlp/CuiLPGC20
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Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Beyond Language: Learning Commonsense from Images for Reasoning. EMNLP (Findings) 2020: 4379-4389
[c318]
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  - conf/icbdc/KuangGLPYCLY20
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Guangsheng Kuang, Yan Guo, Yue Liu, Liang Pang, Zhihua Yu, Xueqi Cheng, Jinlong Liu, Xiaoming Yu:
Bursty Event Detection via Multichannel Feature Alignment. ICBDC 2020: 39-45
[c317]
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  - conf/icbk/ShenJWJC20
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Yinghan Shen, Xuhui Jiang, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng:
Dynamic Relation Extraction with A Learnable Temporal Encoding Method. ICKG 2020: 235-242
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Xuhui Jiang, Yinghan Shen, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng:
BaKGraSTeC: A Background Knowledge Graph Based Method for Short Text Classification. ICKG 2020: 360-366
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Hao Gao, Yongqing Wang, Shanshan Lyu, Huawei Shen, Xueqi Cheng:
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction. ICKG 2020: 412-419
[c314]
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Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation. ICML 2020: 5905-5915
[c313]
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Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng:
Evaluating Natural Language Generation via Unbalanced Optimal Transport. IJCAI 2020: 3730-3736
[c312]
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Hao Wang, Huawei Shen, Xueqi Cheng:
Modeling Users' Multifaceted Interest Correlation for Social Recommendation. PAKDD (1) 2020: 118-129
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Hao Wang, Huawei Shen, Xueqi Cheng:
Modeling POI-Specific Spatial-Temporal Context for Point-of-Interest Recommendation. PAKDD (1) 2020: 130-141
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Wenjie Feng, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng:
SpecGreedy: Unified Dense Subgraph Detection. ECML/PKDD (1) 2020: 181-197
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  - conf/sigir/PangXALCW20
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Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen:
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. SIGIR 2020: 499-508
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Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen:
Reinforcement Learning to Rank with Pairwise Policy Gradient. SIGIR 2020: 509-518
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Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang, Xiaozhao Wang:
Match²: A Matching over Matching Model for Similar Question Identification. SIGIR 2020: 559-568
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Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. SIGIR 2020: 1897-1900
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Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng:
L2R²: Leveraging Ranking for Abductive Reasoning. SIGIR 2020: 1961-1964
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  - conf/wsdm/CaoSGWC20
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Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng:
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks. WSDM 2020: 70-78
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Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension. WSDM 2020: 564-572
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Jimmy X. Huang, Yi Chang, Xueqi Cheng, Jaap Kamps, Vanessa Murdock, Ji-Rong Wen, Yiqun Liu:
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020. ACM 2020, ISBN 978-1-4503-8016-4 [contents]
[i74]
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  - journals/corr/abs-2005-11223
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Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng:
L2R2: Leveraging Ranking for Abductive Reasoning. CoRR abs/2005.11223 (2020)
[i73]
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  - journals/corr/abs-2006-11719
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Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang, Xiaozhao Wang:
Match²: A Matching over Matching Model for Similar Question Identification. CoRR abs/2006.11719 (2020)
[i72]
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  - journals/corr/abs-2007-01488
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Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation. CoRR abs/2007.01488 (2020)
[i71]
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  - journals/corr/abs-2007-09647
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Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng:
Adversarial Immunization for Improving Certifiable Robustness on Graphs. CoRR abs/2007.09647 (2020)
[i70]
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  - journals/corr/abs-2007-13435
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Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. CoRR abs/2007.13435 (2020)
[i69]
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  - journals/corr/abs-2007-16002
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Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng:
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. CoRR abs/2007.16002 (2020)
[i68]
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  - journals/corr/abs-2008-05640
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Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng:
Ranking Enhanced Dialogue Generation. CoRR abs/2008.05640 (2020)
[i67]
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  - journals/corr/abs-2008-10874
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Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Continual Domain Adaptation for Machine Reading Comprehension. CoRR abs/2008.10874 (2020)
[i66]
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  - journals/corr/abs-2008-10889
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Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Query Understanding via Intent Description Generation. CoRR abs/2008.10889 (2020)
[i65]
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  - journals/corr/abs-2010-05001
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Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Beyond Language: Learning Commonsense from Images for Reasoning. CoRR abs/2010.05001 (2020)
[i64]
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  - journals/corr/abs-2010-09175
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Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng:
Summarizing graphs using the configuration model. CoRR abs/2010.09175 (2020)
[i63]
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  - journals/corr/abs-2010-10137
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Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, Xueqi Cheng:
PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval. CoRR abs/2010.10137 (2020)
[i62]
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  - journals/corr/abs-2011-13160
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Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Transformation Driven Visual Reasoning. CoRR abs/2011.13160 (2020)
[i61]
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  - journals/corr/abs-2011-13608
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Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng:
How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising. CoRR abs/2011.13608 (2020)
[i60]
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  - journals/corr/abs-2012-02006
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Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng:
AugSplicing: Synchronized Behavior Detection in Streaming Tensors. CoRR abs/2012.02006 (2020)
[i59]
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Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. CoRR abs/2012.05660 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
[j53]
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Guoxin Cui, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Trend-Smooth: Accelerate Asynchronous SGD by Smoothing Parameters Using Parameter Trends. IEEE Access 7: 156848-156859 (2019)
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Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng:
Learning representations for quality estimation of crowdsourced submissions. Inf. Process. Manag. 56(4): 1484-1493 (2019)
[j51]
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Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Yantao Jia, Huawei Shen, Zixuan Li, Xueqi Cheng:
Self-learning and embedding based entity alignment. Knowl. Inf. Syst. 59(2): 361-386 (2019)
[j50]
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  - journals/tkdd/LiuSZCL19
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Shenghua Liu, Huawei Shen, Houdong Zheng, Xueqi Cheng, Xiangwen Liao:
CT LIS: Learning Influences and Susceptibilities through Temporal Behaviors. ACM Trans. Knowl. Discov. Data 13(6): 57:1-57:21 (2019)
[j49]
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Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation. IEEE Trans. Knowl. Data Eng. 31(6): 1181-1193 (2019)
[c302]
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  - conf/aaai/LiLGXC19
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Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Differentiated Distribution Recovery for Neural Text Generation. AAAI 2019: 6682-6689
[c301]
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Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng:
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. AAAI 2019: 6875-6882
[c300]
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  - conf/aaai/LiFXGLC19
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Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Teaching Machines to Extract Main Content for Machine Reading Comprehension. AAAI 2019: 9973-9974
[c299]
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Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng:
An Adaptive Framework for Conversational Question Answering. AAAI 2019: 10041-10042
[c298]
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  - conf/acl/ZhangLPGC19
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Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. ACL (1) 2019: 3721-3730
[c297]
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Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu:
Soft Contextual Data Augmentation for Neural Machine Translation. ACL (1) 2019: 5539-5544
[c296]
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Yixing Fan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Understanding and Improving Neural Ranking Models from a Term Dependence View. AIRS 2019: 118-130
[c295]
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  - conf/ccir/ShaoSCC19
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Jiangli Shao, Huawei Shen, Qi Cao, Xueqi Cheng:
Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias. CCIR 2019: 135-147
[c294]
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  - conf/dexa/ZhengZC19
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Tianqi Zheng, Zhibin Zhang, Xueqi Cheng:
SilverChunk: An Efficient In-Memory Parallel Graph Processing System. DEXA (2) 2019: 222-236
[c293]
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  - conf/emnlp/YanJMGC19
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Haoran Yan, Xiaolong Jin, Xiangbin Meng, Jiafeng Guo, Xueqi Cheng:
Event Detection with Multi-Order Graph Convolution and Aggregated Attention. EMNLP/IJCNLP (1) 2019: 5765-5769
[c292]
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Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
Signed Graph Attention Networks. ICANN (Workshop) 2019: 566-577
[c291]
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  - conf/icdm/ZhaoYZGC19
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Peng Zhao, Fan Yang, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng:
A High Performance Text Vector Similarity Search Method Based on Overlapping Degree. ICDM Workshops 2019: 448-454
[c290]
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Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng:
Graph Wavelet Neural Network. ICLR (Poster) 2019
[c289]
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Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng:
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. IJCAI 2019: 1928-1934
[c288]
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  - conf/ijcai/ZhouLHCY19
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Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye:
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series. IJCAI 2019: 4433-4439
[c287]
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  - conf/pakdd/ZhangLYFC19
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Jiabao Zhang, Shenghua Liu, Wenjian Yu, Wenjie Feng, Xueqi Cheng:
EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation. PAKDD (2) 2019: 501-513
[c286]
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  - conf/pakdd/FengLFHSC19
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Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. PAKDD (1) 2019: 541-554
[c285]
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Wenjie Feng, Shenghua Liu, Xueqi Cheng:
CatchCore: Catching Hierarchical Dense Subtensor. ECML/PKDD (1) 2019: 156-172
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Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Controlling Risk of Web Question Answering. SIGIR 2019: 115-124
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Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Outline Generation: Understanding the Inherent Content Structure of Documents. SIGIR 2019: 745-754
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Jiafeng Guo, Yixing Fan, Xiang Ji, Xueqi Cheng:
MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching. SIGIR 2019: 1297-1300
[c281]
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Yue Zhao, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng:
Semi-supervised Auto-encoder Based Event Detection in Constructing Knowledge Graph for Social Good. WI 2019: 478-485
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Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng:
Link Prediction on N-ary Relational Data. WWW 2019: 583-593
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Shanshan Lyu, Wentao Ouyang, Yongqing Wang, Huawei Shen, Xueqi Cheng:
What We Vote for? Answer Selection from User Expertise View in Community Question Answering. WWW 2019: 1198-1209
[c278]
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Yongqing Wang, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks. WWW 2019: 3335-3341
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Hai Jin, Xuemin Lin, Xueqi Cheng, Xuanhua Shi, Nong Xiao, Yihua Huang:
Big Data - 7th CCF Conference, BigData 2019, Wuhan, China, September 26-28, 2019, Proceedings. Communications in Computer and Information Science 1120, Springer 2019, ISBN 978-981-15-1898-0 [contents]
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Wenwu Zhu, Dacheng Tao, Xueqi Cheng, Peng Cui, Elke A. Rundensteiner, David Carmel, Qi He, Jeffrey Xu Yu:
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019. ACM 2019, ISBN 978-1-4503-6976-3 [contents]
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Panagiotis Papapetrou, Xueqi Cheng, Qing He:
2019 International Conference on Data Mining Workshops, ICDM Workshops 2019, Beijing, China, November 8-11, 2019. IEEE 2019, ISBN 978-1-7281-4896-0 [contents]
[i58]
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Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng:
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering. CoRR abs/1901.03866 (2019)
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Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng:
A Deep Look into Neural Ranking Models for Information Retrieval. CoRR abs/1903.06902 (2019)
[i56]
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Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng:
Graph Wavelet Neural Network. CoRR abs/1904.07785 (2019)
[i55]
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Cheng Zhao, Zhibin Zhang, Peng Xu, Tianqi Zheng, Xueqi Cheng:
Kaleido: An Efficient Out-of-core Graph Mining System on A Single Machine. CoRR abs/1905.09572 (2019)
[i54]
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Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Outline Generation: Understanding the Inherent Content Structure of Documents. CoRR abs/1905.10039 (2019)
[i53]
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  - journals/corr/abs-1905-10077
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Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Controlling Risk of Web Question Answering. CoRR abs/1905.10077 (2019)
[i52]
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  - journals/corr/abs-1905-10289
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Jiafeng Guo, Yixing Fan, Xiang Ji, Xueqi Cheng:
MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching. CoRR abs/1905.10289 (2019)
[i51]
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Jinhua Zhu, Fei Gao, Lijun Wu, Yingce Xia, Tao Qin, Wengang Zhou, Xueqi Cheng, Tie-Yan Liu:
Soft Contextual Data Augmentation for Neural Machine Translation. CoRR abs/1905.10523 (2019)
[i50]
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  - journals/corr/abs-1906-08745
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Keting Cen, Huawei Shen, Jinhua Gao, Qi Cao, Bingbing Xu, Xueqi Cheng:
A Graph Auto-Encoder for Attributed Network Embedding. CoRR abs/1906.08745 (2019)
[i49]
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  - journals/corr/abs-1906-09032
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Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng:
Coupled Graph Neural Networks for Predicting the Popularity of Online Content. CoRR abs/1906.09032 (2019)
[i48]
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Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
Signed Graph Attention Networks. CoRR abs/1906.10958 (2019)
[i47]
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  - journals/corr/abs-1907-05339
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Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. CoRR abs/1907.05339 (2019)
[i46]
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Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile. CoRR abs/1907.05340 (2019)
[i45]
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  - journals/corr/abs-1909-01519
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Mahammad Humayoo, Xueqi Cheng:
Parameter Estimation with the Ordered 𝓁₂ Regularization via an Alternating Direction Method of Multipliers. CoRR abs/1909.01519 (2019)
[i44]
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  - journals/corr/abs-1912-05891
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Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen:
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. CoRR abs/1912.05891 (2019)
2018
[j48]
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Jingjing Wei, Xiangwen Liao, Houdong Zheng, Guolong Chen, Xueqi Cheng:
Learning from context: A mutual reinforcement model for Chinese microblog opinion retrieval. Frontiers Comput. Sci. 12(4): 714-724 (2018)
[j47]
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Jizhao Zhu, Yantao Jia, Jun Xu, Jianzhong Qiao, Xueqi Cheng:
Modeling the Correlations of Relations for Knowledge Graph Embedding. J. Comput. Sci. Technol. 33(2): 323-334 (2018)
[j46]
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Chengcheng Gou, Huawei Shen, Pan Du, Dayong Wu, Yue Liu, Xueqi Cheng:
Learning sequential features for cascade outbreak prediction. Knowl. Inf. Syst. 57(3): 721-739 (2018)
[j45]
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  - journals/kbs/JiaWJC18
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Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng:
Path-specific knowledge graph embedding. Knowl. Based Syst. 151: 37-44 (2018)
[j44]
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Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Hailun Lin, Xueqi Cheng:
Knowledge Graph Embedding: A Locally and Temporally Adaptive Translation-Based Approach. ACM Trans. Web 12(2): 8:1-8:33 (2018)
[c277]
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  - conf/aaai/SunSGOC18
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Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng:
Towards Efficient Detection of Overlapping Communities in Massive Networks. AAAI 2018: 418-425
[c276]
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Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph. AAAI 2018: 8175-8176
[c275]
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  - conf/acl/ZhaoJWC18
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Yue Zhao, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng:
Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention. ACL (2) 2018: 414-419
[c274]
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  - conf/acl/ChengXGLZF18
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Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi Cheng:
Learning to Control the Specificity in Neural Response Generation. ACL (1) 2018: 1108-1117
[c273]
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Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Tailored Sequence to Sequence Models to Different Conversation Scenarios. ACL (1) 2018: 1479-1488
[c272]
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  - conf/airs/ChenLPGXC18
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Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Jun Xu, Xueqi Cheng:
RI-Match: Integrating Both Representations and Interactions for Deep Semantic Matching. AIRS 2018: 90-102
[c271]
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  - conf/ccir/YangLGFZLWC18
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Zhou Yang, Qingfeng Lan, Jiafeng Guo, Yixing Fan, Xiaofei Zhu, Yanyan Lan, Yue Wang, Xueqi Cheng:
A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval. CCIR 2018: 16-27
[c270]
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Tonglei Guo, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi Cheng:
A Comparison Between Term-Based and Embedding-Based Methods for Initial Retrieval. CCIR 2018: 28-40
[c269]
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  - conf/ccir/HeTXGLC18
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Yixuan He, Shuchang Tao, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Text Matching with Monte Carlo Tree Search. CCIR 2018: 41-52
[c268]
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  - conf/ccir/LiXLGFC18
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Zhaohui Li, Jun Xu, Yanyan Lan, Jiafeng Guo, Yue Feng, Xueqi Cheng:
Hierarchical Answer Selection Framework for Multi-passage Machine Reading Comprehension. CCIR 2018: 93-104
[c267]
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  - conf/ccir/ZhangGLXC18
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Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Generative Paragraph Vector. CCIR 2018: 105-118
[c266]
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  - conf/ccir/LyuOSC18
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Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng:
Finding High-Quality Unstructured Submissions in General Crowdsourcing Tasks. CCIR 2018: 198-210
[c265]
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  - conf/cikm/GuanJWC18
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Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng:
Shared Embedding Based Neural Networks for Knowledge Graph Completion. CIKM 2018: 247-256
[c264]
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Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Huanhuan Cao, Xueqi Cheng:
Question Headline Generation for News Articles. CIKM 2018: 617-626
[c263]
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  - conf/cikm/XiaoGLXC18
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Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Neighborhood Voting: A Novel Search Scheme for Hashing. CIKM 2018: 1731-1734
[c262]
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  - conf/dsc/WangOSC18
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Hao Wang, Wentao Ouyang, Huawei Shen, Xueqi Cheng:
ULE: Learning User and Location Embeddings for POI Recommendation. DSC 2018: 99-106
[c261]
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  - conf/ecir/ZhangGL0C18
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Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Spherical Paragraph Model. ECIR 2018: 289-302
[c260]
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  - conf/ecir/ZhangGL0C18a
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Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Aggregating Neural Word Embeddings for Document Representation. ECIR 2018: 303-315
[c259]
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  - conf/emnlp/LiuCYC18
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Shaobo Liu, Rui Cheng, Xiaoming Yu, Xueqi Cheng:
Exploiting Contextual Information via Dynamic Memory Network for Event Detection. EMNLP 2018: 1030-1035
[c258]
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  - conf/icdm/LiJGWC18
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Zixuan Li, Xiaolong Jin, Saiping Guan, Yuanzhuo Wang, Xueqi Cheng:
Path Reasoning over Knowledge Graph: A Multi-agent and Reinforcement Learning Based Method. ICDM Workshops 2018: 929-936
[c257]
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  - conf/icpr/HumayooC18
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Mahammad Humayoo, Xueqi Cheng:
Model-free Knockoffs for SLOPE-Adaptive Variable Selection with Controlled False Discovery Rate. ICPR 2018: 302-307
[c256]
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  - conf/ictir/CuiXZLGC18
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Guoxin Cui, Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server. ICTIR 2018: 83-90
[c255]
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  - conf/ictir/ZengXLGC18
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Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Multi Page Search with Reinforcement Learning to Rank. ICTIR 2018: 175-178
[c254]
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Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng:
NeuCast: Seasonal Neural Forecast of Power Grid Time Series. IJCAI 2018: 3315-3321
[c253]
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Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng:
Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation. IJCAI 2018: 3877-3883
[c252]
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Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation. IJCAI 2018: 4567-4573
[c251]
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Fei Gao, Lijun Wu, Li Zhao, Tao Qin, Xueqi Cheng, Tie-Yan Liu:
Efficient Sequence Learning with Group Recurrent Networks. NAACL-HLT 2018: 799-808
[c250]
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Yue Feng, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng:
From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks. SIGIR 2018: 125-134
[c249]
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Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng:
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. SIGIR 2018: 375-384
[c248]
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Sihao Yu, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method. SIGIR 2018: 885-888
[i43]
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Guoxin Cui, Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server. CoRR abs/1804.08066 (2018)
[i42]
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Yadi Lao, Jun Xu, Yanyan Lan, Jiafeng Guo, Sheng Gao, Xueqi Cheng:
Sequence Tagging with Policy-Value Networks and Tree Search. CoRR abs/1804.10911 (2018)
[i41]
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Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng:
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. CoRR abs/1805.05737 (2018)
[i40]
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Yan Xiao, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi Cheng:
Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations. CoRR abs/1806.10869 (2018)
[i39]
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Shaobo Liu, Rui Cheng, Xiaoming Yu, Xueqi Cheng:
Exploiting Contextual Information via Dynamic Memory Network for Event Detection. CoRR abs/1810.03449 (2018)
[i38]
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Mahammad Humayoo, Xueqi Cheng:
Relative Importance Sampling For Off-Policy Actor-Critic in Deep Reinforcement Learning. CoRR abs/1810.12558 (2018)
2017
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Dingda Yang, Xiangwen Liao, Huawei Shen, Xueqi Cheng, Guolong Chen:
Relative influence maximization in competitive social networks. Sci. China Inf. Sci. 60(10): 108101:1-108101:3 (2017)
[j42]
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Jiafeng Guo, Xiaofei Zhu, Yanyan Lan, Xueqi Cheng:
Modeling users' search sessions for high utility query recommendation. Inf. Retr. J. 20(1): 4-24 (2017)
[j41]
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Liang Bai, Xueqi Cheng, Jiye Liang, Yike Guo:
Fast graph clustering with a new description model for community detection. Inf. Sci. 388: 37-47 (2017)
[j40]
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Xinlei Chen, Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng:
开放知识库构建技术的多维量化评价方法 (Multi-dimensional Quantitative Evaluation Method of Open Knowledge Base Construction Technology). 计算机科学 44(12): 17-22 (2017)
[j39]
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Wei Li, Wenjun Wu, Huaimin Wang, Xueqi Cheng, Huajun Chen, Zhi-Hua Zhou, Rong Ding:
Crowd intelligence in AI 2.0 era. Frontiers Inf. Technol. Electron. Eng. 18(1): 15-43 (2017)
[j38]
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Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen, Yike Guo:
Fast density clustering strategies based on the k-means algorithm. Pattern Recognit. 71: 375-386 (2017)
[j37]
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Chengeng Ou, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng:
Modelling heterogeneous information spreading abilities of social network ties. Simul. Model. Pract. Theory 75: 67-76 (2017)
[j36]
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Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Zeya Zhao, Xueqi Cheng:
Link Inference in Dynamic Heterogeneous Information Network: A Knapsack-Based Approach. IEEE Trans. Comput. Soc. Syst. 4(3): 80-92 (2017)
[j35]
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Jun Xu, Long Xia, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Directly Optimize Diversity Evaluation Measures: A New Approach to Search Result Diversification. ACM Trans. Intell. Syst. Technol. 8(3): 41:1-41:26 (2017)
[c247]
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Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng:
Locally Smoothed Neural Networks. ACML 2017: 177-191
[c246]
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Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile. CCIR 2017: 3-16
[c245]
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Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Academic Access Data Analysis for Literature Recommendation. CCIR 2017: 42-54
[c244]
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Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng:
Learning Visual Features from Snapshots for Web Search. CIKM 2017: 247-256
[c243]
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Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng:
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. CIKM 2017: 257-266
[c242]
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Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng:
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection. CIKM 2017: 597-606
[c241]
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Qi Cao, Huawei Shen, Keting Cen, Wentao Ouyang, Xueqi Cheng:
DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades. CIKM 2017: 1149-1158
[c240]
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Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng:
Truth Discovery by Claim and Source Embedding. CIKM 2017: 2183-2186
[c239]
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  - conf/icbk/GuanJJWSC17
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Saiping Guan, Xiaolong Jin, Yantao Jia, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Self-Learning and Embedding Based Entity Alignment. ICBK 2017: 33-40
[c238]
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Jizhao Zhu, Jianzhong Qiao, Xinxiao Dai, Xueqi Cheng:
Relation Classification via Target-Concentrated Attention CNNs. ICONIP (2) 2017: 137-146
[c237]
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Shenghua Liu, Houdong Zheng, Huawei Shen, Xueqi Cheng, Xiangwen Liao:
Learning Concise Representations of Users' Influences through Online Behaviors. IJCAI 2017: 2351-2357
[c236]
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Tong Man, Huawei Shen, Xiaolong Jin, Xueqi Cheng:
Cross-Domain Recommendation: An Embedding and Mapping Approach. IJCAI 2017: 2464-2470
[c235]
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Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng:
Cascade Dynamics Modeling with Attention-based Recurrent Neural Network. IJCAI 2017: 2985-2991
[c234]
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Hainan Zhang, Tonglei Guo, Yanyan Lan, Jiafeng Guo, Jianing Li, Xueqi Cheng:
Gbot at the NTCIR-13 STC-2 Task. NTCIR 2017
[c233]
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  - conf/pakdd/LiuJSC17
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Yahui Liu, Xiaolong Jin, Huawei Shen, Xueqi Cheng:
Do Rumors Diffuse Differently from Non-rumors? A Systematically Empirical Analysis in Sina Weibo for Rumor Identification. PAKDD (1) 2017: 407-420
[c232]
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Yongqing Wang, Shenghua Liu, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Marked Temporal Dynamics Modeling Based on Recurrent Neural Network. PAKDD (1) 2017: 786-798
[c231]
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Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng:
Adapting Markov Decision Process for Search Result Diversification. SIGIR 2017: 535-544
[c230]
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Zheng Wei, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Reinforcement Learning to Rank with Markov Decision Process. SIGIR 2017: 945-948
[c229]
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Xu Chang, Liying Jiao, Jinlong Liu, Weijian Zhu, Yuanhai Xue, Li Zha, Yue Liu, Xueqi Cheng:
ICTNET at TREC 2017 Common Core Track. TREC 2017
[c228]
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Rui Cheng, Xiaomin Zhuang, Hao Yan, Yuanhai Xue, Zhihua Yu, Yue Liu, Xueqi Cheng:
ICTNET at TREC2017 Complex Answer Retrieval Track. TREC 2017
[c227]
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Xiao Wang, Pengcheng Fan, Liang Cheng, Guoliang Xing, Zhihua Yu, Xueqi Cheng:
ICTNET at TREC 2017 Real-Time Summarization Track. TREC 2017
[c226]
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Peng Xu, Long Bai, Suiyuan Zhang, Fang Yang, Zhibin Zhang, Xiaoming Yu, Xiaolong Jin, Xueqi Cheng:
ICTNET at TREC2017 OpenSearch Track. TREC 2017
[c225]
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Weimin Zhang, Yaokang Hu, Rongqian Jia, Xianfa Wang, Le Zhang, Yue Feng, Sihao Yu, Yuanhai Xue, Xiaoming Yu, Yue Liu, Xueqi Cheng:
ICTNET at TREC 2017 Dynamic Domain Track. TREC 2017
[c224]
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  - conf/webi/ZhangLJWC17
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Denghui Zhang, Manling Li, Yantao Jia, Yuanzhuo Wang, Xueqi Cheng:
Efficient parallel translating embedding for knowledge graphs. WI 2017: 460-468
[c223]
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  - conf/www/CaiFJWJC17
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Pengshan Cai, Yansong Feng, Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng:
Coarse to Fine: Diffusing Categories in Wikipedia. WWW (Companion Volume) 2017: 763-764
[c222]
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Qi Cao, Huawei Shen, Hao Gao, Jinhua Gao, Xueqi Cheng:
Predicting the Popularity of Online Content with Group-specific Models. WWW (Companion Volume) 2017: 765-766
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Xueqi Cheng, Wei-Ying Ma, Huan Liu, Huawei Shen, Shizheng Feng, Xing Xie:
Social Media Processing - 6th National Conference, SMP 2017, Beijing, China, September 14-17, 2017, Proceedings. Communications in Computer and Information Science 774, Springer 2017, ISBN 978-981-10-6804-1 [contents]
[i37]
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Yongqing Wang, Shenghua Liu, Huawei Shen, Xueqi Cheng:
Marked Temporal Dynamics Modeling based on Recurrent Neural Network. CoRR abs/1701.03918 (2017)
[i36]
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Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Spherical Paragraph Model. CoRR abs/1707.05635 (2017)
[i35]
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Yixing Fan, Liang Pang, Jianpeng Hou, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
MatchZoo: A Toolkit for Deep Text Matching. CoRR abs/1707.07270 (2017)
[i34]
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Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
A Deep Investigation of Deep IR Models. CoRR abs/1707.07700 (2017)
[i33]
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  - journals/corr/abs-1710-05649
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Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng:
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. CoRR abs/1710.05649 (2017)
[i32]
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  - journals/corr/abs-1710-06997
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Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng:
Learning Visual Features from Snapshots for Web Search. CoRR abs/1710.06997 (2017)
[i31]
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  - journals/corr/abs-1710-08756
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Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
EagleMine: Vision-Guided Mining in Large Graphs. CoRR abs/1710.08756 (2017)
[i30]
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Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng:
Locally Smoothed Neural Networks. CoRR abs/1711.08132 (2017)
2016
[j34]
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Hao Wang, Huawei Shen, Xueqi Cheng:
Scientific credit diffusion: Researcher level or paper level? Scientometrics 109(2): 827-837 (2016)
[j33]
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Zheng Lin, Xiaolong Jin, Xueke Xu, Yuanzhuo Wang, Xueqi Cheng, Weiping Wang, Dan Meng:
An Unsupervised Cross-Lingual Topic Model Framework for Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. 24(3): 432-444 (2016)
[j32]
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Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng:
Location Prediction: A Temporal-Spatial Bayesian Model. ACM Trans. Intell. Syst. Technol. 7(3): 31:1-31:25 (2016)
[j31]
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Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen:
An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts. IEEE Trans. Knowl. Data Eng. 28(11): 2871-2883 (2016)
[c221]
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Yantao Jia, Yuanzhuo Wang, Hailun Lin, Xiaolong Jin, Xueqi Cheng:
Locally Adaptive Translation for Knowledge Graph Embedding. AAAI 2016: 992-998
[c220]
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Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng:
Text Matching as Image Recognition. AAAI 2016: 2793-2799
[c219]
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Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations. AAAI 2016: 2821-2827
[c218]
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Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng:
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. AAAI 2016: 2835-2841
[c217]
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Manling Li, Yantao Jia, Yuanzhuo Wang, Zeya Zhao, Xueqi Cheng:
Predicting Links and Their Building Time: A Path-Based Approach. AAAI 2016: 4228-4229
[c216]
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Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
SPAN: Understanding a Question with Its Support Answers. AAAI 2016: 4250-4251
[c215]
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Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Factorizing Sequential and Historical Purchase Data for Basket Recommendation. AIRS 2016: 237-248
[c214]
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  - conf/apweb/LiWLCR16
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Jingyuan Li, Yuanzhuo Wang, Yuan Lu, Xueqi Cheng, Yan Ren:
The Competition of User Attentions Among Social Network Services: A Social Evolutionary Game Approach. APWeb (1) 2016: 268-279
[c213]
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Tianyou Guo, Jun Xu, Xiaohui Yan, Jianpeng Hou, Ping Li, Zhaohui Li, Jiafeng Guo, Xueqi Cheng:
Ease the Process of Machine Learning with Dataflow. CIKM 2016: 2437-2440
[c212]
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Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Multi-task Representation Learning for Demographic Prediction. ECIR 2016: 88-99
[c211]
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Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin, Xueqi Cheng:
Predict Anchor Links across Social Networks via an Embedding Approach. IJCAI 2016: 1823-1829
[c210]
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Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Sparse Word Embeddings Using ℓ₁ Regularized Online Learning. IJCAI 2016: 2915-2921
[c209]
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Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng:
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. IJCAI 2016: 2922-2928
[c208]
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Chenrui Zhang, Xueqi Cheng:
An ensemble method for job recommender systems. RecSys Challenge 2016: 2:1-2:4
[c207]
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Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Modeling Document Novelty with Neural Tensor Network for Search Result Diversification. SIGIR 2016: 395-404
[c206]
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Wei Liu, Huawei Shen, Wentao Ouyang, Ge Fu, Li Zha, Xueqi Cheng:
Learning Cost-Effective Social Embedding for Cascade Prediction. SMP 2016: 1-13
[c205]
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