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ORCIDJian Yin 0001
Person information
- affiliation: Sun Yat-Sen University, School of Data and Computer Science, Guangzhou, China
- affiliation: Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou, China
Other persons with the same name
- Jian Yin 0002 — Pacific Northwest National Laboratory, Richland, WA, USA (and 2 more)
- Jian Yin 0003
![[0000-0002-4820-0226]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4820-0226")
— Shandong University, School of Mechanical, Electrical and Information Engineering, Weihai, China - Jian Yin 0004 — Shenzhen University, College of Mechatronics and Control Engineering, Shenzhen, China
- Jian Yin 0005 — University of California San Diego, Skaggs School of Pharmacy and Pharmaceutical Sciences, La Jolla, CA, USA
- Jian Yin 0006 — University of Missouri-Rolla, Department of Computer Science, Rolla, MO, USA
- Jian Yin 0007 — Research Institute on General Development and Argumentation of Equipment of Air Force, Beijing, China
- Jian Yin 0008 — Taiyuan University of Science and Technology, Shanxi, China
- Jian Yin 0009 — Wuhan Universiy of Technology, School of Management, China
- Jian Yin 0010 — Tianjin Medical University, Cancer Hospital, China
- Jian Yin 0011 — Jiangsu Normal University, School of Mechanical and Electrical Engineering, Xuzhou, China
- Jian Yin 0012 — Jiangxi Police Institute, Department of Traffic Management, Nanchang, China
- Jian Yin 0013 — Guizhou University of Finance and Economics, University City, China
- Jian Yin 0014 — Shenzhen Jingtai Technology Co., Ltd., China
- Jian Yin 0015 — Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang Institute of Automation, China
- Jian Yin 0016 — Tsinghua University, Shenzhen International Graduate School, Department of Electronic Engineering, China
- Jian Yin 0017 — Nanjing University of Information Science and Technology, Climate and Weather Disasters Collaborative Innovation Center, China
- Jian Yin 0018 — Shandong University of Science and Technology, College of Computer Science and Engineering, Qingdao, China
- Jian Yin 0019 — Suzhou Nuclear Power Research Institute, China
- Jian Yin 0020 — Nanjing Medical University, China
- Jian Yin 0021 — Harbin Institute of Technology Weihai, College of Information Science and Engineering, China
- Jian Yin 0022 — Central South University, School of Computer Science and Engineering, Changsha, China
- Jian Yin 0023 — Alibaba Group, China
- Jian Yin 0024 — Zhongshan University, Department of Computer Science, Guangzhou, China
- Jian Yin 0025 — Hebei University of Technology, School of Artificial Intelligence and Data Science, Tianjin, China
- Jian Yin 0026 — Tongling University, School of Mechanical Engineering, China
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2020 – today
- 2023
[j56]Yufu Chen, Yanghui Rao, Shurui Chen, Zhiqi Lei, Haoran Xie, Raymond Y. K. Lau, Jian Yin:
Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains. ACM Trans. Knowl. Discov. Data 17(5): 74:1-74:30 (2023)- [j55]Jianxing Yu, Qinliang Su, Xiaojun Quan, Jian Yin:
Multi-Hop Reasoning Question Generation and Its Application. IEEE Trans. Knowl. Data Eng. 35(1): 725-740 (2023) - [j54]Yufu Chen, Zhiqi Lei, Yanghui Rao, Haoran Xie, Fu Lee Wang, Jian Yin, Qing Li:
Parallel Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering. IEEE Trans. Knowl. Data Eng. 35(5): 5132-5146 (2023) - [j53]Huaijie Zhu, Wei Liu, Jian Yin, Libin Zheng, Xin Huang, Jianliang Xu, Wang-Chien Lee:
Continuous Geo-Social Group Monitoring in Dynamic LBSNs. IEEE Trans. Knowl. Data Eng. 35(8): 7815-7828 (2023) - [j52]Zusheng Zhang, Yanghui Rao, Hanjiang Lai, Jiahai Wang, Jian Yin:
TADC: A Topic-Aware Dynamic Convolutional Neural Network for Aspect Extraction. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3912-3924 (2023) - [j51]Huaijie Zhu, Wei Liu, Jian Yin, Jianliang Xu, Wang-Chien Lee:
Towards Keyword-Based Geo-Social Group Query Services. IEEE Trans. Serv. Comput. 16(1): 670-683 (2023) - [c130]Jianxing Yu, Shiqi Wang, Libin Zheng, Qinliang Su, Wei Liu, Baoquan Zhao, Jian Yin:
Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference. ACL (Findings) 2023: 470-486 - [c129]Wanjun Zhong, Tingting Ma, Jiahai Wang, Jian Yin, Tiejun Zhao, Chin-Yew Lin, Nan Duan:
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers. ACL (Findings) 2023: 7587-7600 - [c128]Haiming Wang, Ye Yuan, Zhengying Liu, Jianhao Shen, Yichun Yin, Jing Xiong, Enze Xie, Han Shi, Yujun Li, Lin Li, Jian Yin, Zhenguo Li, Xiaodan Liang:
DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function. ACL (1) 2023: 12632-12646 - [c127]Qiutong Guo, Jianxing Yu, Yufeng Zhang, Haowei Jiang, Wei Liu, Jian Yin:
Discovery of Emotion Implicit Causes in Products Based on Commonsense Reasoning. ADMA (1) 2023: 277-292 - [c126]Guangya Liu, Xiao Dong, Mengxiang Wang, Jianxing Yu, Mengjiao Gan, Wei Liu, Jian Yin:
Multi-modal Multi-emotion Emotional Support Conversation. ADMA (1) 2023: 293-308 - [c125]Mengjiao Gan, Jianxing Yu, Xiao Dong, Shuang Qiu, Wei Liu, Jian Yin:
Generating Enlightened Suggestions Based on Mental State Evolution for Emotional Support Conversation. ADMA (1) 2023: 324-338 - [c124]Miaopei Lin, Mengxiang Wang, Jianxing Yu, Shiqi Wang, Hanjiang Lai, Wei Liu, Jian Yin:
Spatial Commonsense Reasoning for Machine Reading Comprehension. ADMA (2) 2023: 347-361 - [c123]Xuanming Zhang, Jianxing Yu, Miaopei Lin, Shiqi Wang, Wei Liu, Jian Yin:
Community Detection in Temporal Biological Metabolic Networks Based on Semi-NMF Method with Node Similarity Fusion. ADMA (4) 2023: 418-432 - [c122]Shiqi Wang, Jianxing Yu, Miaopei Lin, Shuang Qiu, Xiaofeng Luo, Jian Yin:
A Knowledge-Enhanced Inferential Network for Cross-Modality Multi-hop VQA. ADMA (2) 2023: 614-628 - [c121]Mengying Xu, Hanjiang Lai, Jian Yin:
CLIP-HASH: A Lightweight Hashing Network for Cross-Modal Retrieval. CSCWD 2023: 1086-1091 - [c120]Liangdao Wang, Yan Pan, Cong Liu, Hanjiang Lai, Jian Yin, Ye Liu:
Deep Hashing with Minimal-Distance-Separated Hash Centers. CVPR 2023: 23455-23464 - [c119]Wei Liu, Leong Hou U, Shangsong Liang, Huaijie Zhu, Jianxing Yu, Yubao Liu, Jian Yin:
Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation. DASFAA (2) 2023: 563-573 - [c118]Huaijie Zhu, Wei Liu, Jian Yin, Ningning Cui, Jianliang Xu, Xin Huang, Wang-Chien Lee:
Keyword-based Socially Tenuous Group Queries. ICDE 2023: 965-977 - [c117]Zuohan Wu, Libin Zheng, Chen Jason Zhang, Huaijie Zhu, Jian Yin, Di Jiang:
Opponent-aware Order Pricing towards Hub-oriented Mobility Services. ICDE 2023: 1874-1886 - [c116]Lihui Lin, Yanghui Rao, Haoran Xie, Raymond Y. K. Lau, Jian Yin, Fu Lee Wang, Qing Li:
Copula Guided Parallel Gibbs Sampling for Nonparametric and Coherent Topic Discovery (Extended Abstract). ICDE 2023: 3823-3824 - [c115]Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley:
LongCoder: A Long-Range Pre-trained Language Model for Code Completion. ICML 2023: 12098-12107 - [c114]Wenxin Huang, Xiao Dong, Mengxiang Wang, Guangya Liu, Jianxing Yu, Huaijie Zhu, Jian Yin:
CSEC: A Chinese Semantic Error Correction Dataset for Written Correction. ICONIP (5) 2023: 383-398 - [c113]Ye Liu, Yan Pan, Jian Yin:
Efficient Hash Coding for Image Retrieval Based on Improved Center Generation and Contrastive Pre-training Knowledge Model. KSEM (4) 2023: 332-342 - [c112]Huiguo He, Tianfu Wang, Huan Yang, Jianlong Fu, Nicholas Jing Yuan, Jian Yin, Hongyang Chao, Qi Zhang:
Learning Profitable NFT Image Diffusions via Multiple Visual-Policy Guided Reinforcement Learning. ACM Multimedia 2023: 6831-6840 - [i52]Wangzhen Guo, Linyin Luo, Hanjiang Lai, Jian Yin:
From Parse-Execute to Parse-Execute-Refine: Improving Semantic Parser for Complex Question Answering over Knowledge Base. CoRR abs/2305.03356 (2023) - [i51]Da Yu, Sivakanth Gopi, Janardhan Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang:
Selective Pre-training for Private Fine-tuning. CoRR abs/2305.13865 (2023) - [i50]Xiao Dong, Runhui Huang, Xiaoyong Wei, Zequn Jie, Jianxing Yu, Jian Yin, Xiaodan Liang:
UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning. CoRR abs/2306.00813 (2023) - [i49]Huiguo He, Tianfu Wang, Huan Yang, Jianlong Fu, Nicholas Jing Yuan, Jian Yin, Hongyang Chao, Qi Zhang:
Learning Profitable NFT Image Diffusions via Multiple Visual-Policy Guided Reinforcement Learning. CoRR abs/2306.11731 (2023) - [i48]Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley:
LongCoder: A Long-Range Pre-trained Language Model for Code Completion. CoRR abs/2306.14893 (2023) - [i47]Wentao Hu, Jia Zheng, Zixin Zhang, Xiaojun Yuan, Jian Yin, Zihan Zhou:
PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views with Learnt Shape Programs. CoRR abs/2308.05744 (2023) - [i46]Haiming Wang, Huajian Xin, Chuanyang Zheng, Lin Li, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Heng Liao, Xiaodan Liang:
LEGO-Prover: Neural Theorem Proving with Growing Libraries. CoRR abs/2310.00656 (2023) - [i45]Guoliang Lin, Hanjiang Lai, Yan Pan, Jian Yin:
Improving Entropy-Based Test-Time Adaptation from a Clustering View. CoRR abs/2310.20327 (2023) - 2022
- [j50]Siyuan Liu, Yusong Wang, Yifan Deng, Liang He, Bin Shao, Jian Yin, Nanning Zheng, Tie-Yan Liu, Tong Wang:
Improved drug-target interaction prediction with intermolecular graph transformer. Briefings Bioinform. 23(5) (2022) - [j49]Huaijie Zhu, Wenbin Li, Wei Liu, Jian Yin, Jianliang Xu:
Top k Optimal Sequenced Route Query with POI Preferences. Data Sci. Eng. 7(1): 3-15 (2022) - [j48]Na Li, Huaijie Zhu, Wenhao Lu, Ningning Cui, Wei Liu, Jian Yin, Jianliang Xu, Wang-Chien Lee:
The most tenuous group query. Frontiers Comput. Sci. 17(2): 172605 (2022) - [j47]Huiguo He, Hongyang Chao, Jian Yin:
Compression loss-based spatial-temporal attention module for compressed video quality enhancement. Neurocomputing 501: 75-87 (2022) - [j46]Yuchen Liang, Yan Pan, Hanjiang Lai, Wei Liu, Jian Yin:
Deep Listwise Triplet Hashing for Fine-Grained Image Retrieval. IEEE Trans. Image Process. 31: 949-961 (2022) - [j45]Lihui Lin, Yanghui Rao, Haoran Xie, Raymond Y. K. Lau, Jian Yin, Fu Lee Wang, Qing Li:
Copula Guided Parallel Gibbs Sampling for Nonparametric and Coherent Topic Discovery. IEEE Trans. Knowl. Data Eng. 34(1): 219-235 (2022) - [c111]Liangdao Wang, Yan Pan, Hanjiang Lai, Jian Yin:
Image Retrieval with Well-Separated Semantic Hash Centers. ACCV (6) 2022: 716-731 - [c110]Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, Jian Yin:
UniXcoder: Unified Cross-Modal Pre-training for Code Representation. ACL (1) 2022: 7212-7225 - [c109]Zhiping Luo, Wentao Xu, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu:
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings. COLING 2022: 2598-2607 - [c108]Huaijie Zhu, Wei Liu, Jian Yin, Mengxiang Wang, Jianliang Xu, Xin Huang, Wang-Chien Lee:
Continuous Geo-Social Group Monitoring over Moving Users. ICDE 2022: 312-324 - [c107]Libin Zheng, Peng Cheng, Lei Chen, Jianxing Yu, Xuemin Lin, Jian Yin:
Crowdsourced Fact Validation for Knowledge Bases. ICDE 2022: 938-950 - [c106]Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis:
Learning to Complete Code with Sketches. ICLR 2022 - [c105]Zhou Pan, Wei Liu, Jian Yin:
MRVAE: Variational Autoencoder with Multiple Relationships for Collaborative Filtering. ICWE 2022: 16-30 - [c104]Bowen Tian, Qinliang Su, Jian Yin:
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs. IJCAI 2022: 2255-2261 - [c103]Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering. IJCAI 2022: 4531-4537 - [c102]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Availability Attacks Create Shortcuts. KDD 2022: 2367-2376 - [c101]Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Yining Chen, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan:
Analytical Reasoning of Text. NAACL-HLT (Findings) 2022: 2306-2319 - [c100]Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
ProQA: Structural Prompt-based Pre-training for Unified Question Answering. NAACL-HLT 2022: 4230-4243 - [i44]Qinkang Gong, Liangdao Wang, Hanjiang Lai, Yan Pan, Jian Yin:
ViT2Hash: Unsupervised Information-Preserving Hashing. CoRR abs/2201.05541 (2022) - [i43]Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain QA. CoRR abs/2201.05880 (2022) - [i42]Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, Jian Yin:
UniXcoder: Unified Cross-Modal Pre-training for Code Representation. CoRR abs/2203.03850 (2022) - [i41]Bowen Tian, Qinliang Su, Jian Yin:
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs. CoRR abs/2204.13335 (2022) - [i40]Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
ProQA: Structural Prompt-based Pre-training for Unified Question Answering. CoRR abs/2205.04040 (2022) - [i39]Da Yu, Gautam Kamath, Janardhan Kulkarni, Tie-Yan Liu, Jian Yin, Huishuai Zhang:
Per-Instance Privacy Accounting for Differentially Private Stochastic Gradient Descent. CoRR abs/2206.02617 (2022) - [i38]Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Improving Task Generalization via Unified Schema Prompt. CoRR abs/2208.03229 (2022) - [i37]Ge-Yang Ke, Yan Pan, Jian Yin, Chang-Qin Huang:
Optimizing Evaluation Metrics for Multi-Task Learning via the Alternating Direction Method of Multipliers. CoRR abs/2210.05935 (2022) - [i36]Wanjun Zhong, Tingting Ma, Jiahai Wang, Jian Yin, Tiejun Zhao, Chin-Yew Lin, Nan Duan:
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers. CoRR abs/2210.11265 (2022) - 2021
- [j44]Siyuan Liu, Tong Wang, Qijiang Xu, Bin Shao, Jian Yin, Tie-Yan Liu:
Complementing sequence-derived features with structural information extracted from fragment libraries for protein structure prediction. BMC Bioinform. 22(1): 351 (2021) - [j43]Jianxing Yu, Shiqi Wang, Jian Yin:
Adaptive Cross-Lingual Question Generation with Minimal Resources. Comput. J. 64(7): 1056-1068 (2021) - [j42]Bo Chen, Huaijie Zhu, Wei Liu, Jian Yin, Wang-Chien Lee, Jianliang Xu:
Querying Optimal Routes for Group Meetup. Data Sci. Eng. 6(2): 180-191 (2021) - [j41]Huaijie Zhu, Xiaochun Yang, Bin Wang, Wang-Chien Lee, Jian Yin, Jianliang Xu:
Processing Continuous k Nearest Neighbor Queries in Obstructed Space with Voronoi Diagrams. ACM Trans. Spatial Algorithms Syst. 7(2): 8:1-8:27 (2021) - [c99]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
How Does Data Augmentation Affect Privacy in Machine Learning? AAAI 2021: 10746-10753 - [c98]Wanjun Zhong, Duyu Tang, Jiahai Wang, Jian Yin, Nan Duan:
UserAdapter: Few-Shot User Learning in Sentiment Analysis. ACL/IJCNLP (Findings) 2021: 1484-1488 - [c97]Ruiying Zhou, Keke Tian, Hanjiang Lai, Jian Yin:
Incorporating Domain Knowledge and Semantic Information into Language Models for Commonsense Question Answering. CSCWD 2021: 1160-1165 - [c96]Wei Liu, Jiayu He, Haiming Wang, Huaijie Zhu, Jian Yin:
A Novel Road Segment Representation Method for Travel Time Estimation. DASFAA (Workshops) 2021: 398-413 - [c95]Wenbin Li, Huaijie Zhu, Wei Liu, Jian Yin, Jianliang Xu:
Optimal Sequenced Route Query with POI Preferences. DASFAA (1) 2021: 457-473 - [c94]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. ICLR 2021 - [c93]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Large Scale Private Learning via Low-rank Reparametrization. ICML 2021: 12208-12218 - [c92]Haiming Wang, Wei Liu, Jian Yin:
Multi-Task Learning with Personalized Transformer for Review Recommendation. WISE (2) 2021: 162-176 - [c91]Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu:
REST: Relational Event-driven Stock Trend Forecasting. WWW 2021: 1-10 - [i35]Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu:
REST: Relational Event-driven Stock Trend Forecasting. CoRR abs/2102.07372 (2021) - [i34]Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan:
AR-LSAT: Investigating Analytical Reasoning of Text. CoRR abs/2104.06598 (2021) - [i33]Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao, Jin-Hua Du, Pei-Lin Wu, Chao Ge, Jiaoyang Yao, Fangwen Tu, Bo Li, Jung Eun Yoo, Kwanggyoon Seo, Jialei Xu, Zhenyu Li, Xianming Liu, Junjun Jiang, Wei-Chi Chen, Shayan Joya, Huanhuan Fan, Zhaobing Kang, Ang Li, Tianpeng Feng, Yang Liu, Chuannan Sheng, Jian Yin, Fausto T. Benavide:
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report. CoRR abs/2105.08630 (2021) - [i32]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Large Scale Private Learning via Low-rank Reparametrization. CoRR abs/2106.09352 (2021) - [i31]Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis:
Learning to Generate Code Sketches. CoRR abs/2106.10158 (2021) - [i30]Wentao Xu, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu:
Instance-wise Graph-based Framework for Multivariate Time Series Forecasting. CoRR abs/2109.06489 (2021) - [i29]Siyuan Liu, Yusong Wang, Tong Wang, Yifan Deng, Liang He, Bin Shao, Jian Yin, Nanning Zheng, Tie-Yan Liu:
Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer. CoRR abs/2110.07347 (2021) - [i28]Wentao Xu, Weiqing Liu, Lewen Wang, Yingce Xia, Jiang Bian, Jian Yin, Tie-Yan Liu:
HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information. CoRR abs/2110.13716 (2021) - [i27]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Indiscriminate Poisoning Attacks Are Shortcuts. CoRR abs/2111.00898 (2021) - [i26]Wentao Xu, Zhiping Luo, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu:
KGE-CL: Contrastive Learning of Knowledge Graph Embeddings. CoRR abs/2112.04871 (2021) - [i25]Wentao Xu, Yingce Xia, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu:
SHGNN: Structure-Aware Heterogeneous Graph Neural Network. CoRR abs/2112.06244 (2021) - 2020
- [j40]Yuchen Liang, Yan Pan, Hanjiang Lai, Jian Yin:
Robust multi-view clustering via inter-and-intra-view low rank fusion. Neurocomputing 385: 220-230 (2020) - [j39]Guangquan Lu, Jiangzhang Gan, Jian Yin, Zhiping Luo, Bo Li, Xishun Zhao:
Multi-task learning using a hybrid representation for text classification. Neural Comput. Appl. 32(11): 6467-6480 (2020) - [j38]Guangquan Lu, Xishun Zhao, Jian Yin, Weiwei Yang, Bo Li:
Multi-task learning using variational auto-encoder for sentiment classification. Pattern Recognit. Lett. 132: 115-122 (2020) - [j37]Hanjiang Lai, Jikai Chen, Libing Geng, Yan Pan, Xiaodan Liang, Jian Yin:
Improving Deep Binary Embedding Networks by Order-Aware Reweighting of Triplets. IEEE Trans. Circuits Syst. Video Technol. 30(4): 1162-1172 (2020) - [j36]Wei Liu, Hanjiang Lai, Jing Wang, Ge-Yang Ke, Weiwei Yang, Jian Yin:
Mix geographical information into local collaborative ranking for POI recommendation. World Wide Web 23(1): 131-152 (2020) - [j35]Xiaorui Qin, Yanghui Rao, Haoran Xie, Jian Yin, Fu Lee Wang:
Extractive convolutional adversarial networks for network embedding. World Wide Web 23(3): 1925-1944 (2020) - [c90]Jian Yin, Chunjing Gan, Kaiqi Zhao, Xuan Lin, Zhe Quan, Zhi-Jie Wang:
A Novel Model for Imbalanced Data Classification. AAAI 2020: 6680-6687 - [c89]Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin, Tie-Yan Liu:
SEEK: Segmented Embedding of Knowledge Graphs. ACL 2020: 3888-3897 - [c88]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. ACL 2020: 6053-6065 - [c87]Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou:
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. ACL 2020: 6118-6129 - [c86]Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Reasoning Over Semantic-Level Graph for Fact Checking. ACL 2020: 6170-6180 - [c85]Jianxing Yu, Wei Liu, Shuang Qiu, Qinliang Su, Kai Wang, Xiaojun Quan, Jian Yin:
Low-Resource Generation of Multi-hop Reasoning Questions. ACL 2020: 6729-6739 - [c84]Haoye Dong, Xiaodan Liang, Yixuan Zhang, Xujie Zhang, Xiaohui Shen, Zhenyu Xie, Bowen Wu, Jian Yin:
Fashion Editing With Adversarial Parsing Learning. CVPR 2020: 8117-8125 - [c83]Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Neural Deepfake Detection with Factual Structure of Text. EMNLP (1) 2020: 2461-2470 - [c82]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
Gradient Perturbation is Underrated for Differentially Private Convex Optimization. IJCAI 2020: 3117-3123 - [c81]Jianxing Yu, Xiaojun Quan, Qinliang Su, Jian Yin:
Generating Multi-hop Reasoning Questions to Improve Machine Reading Comprehension. WWW 2020: 281-291 - [i24]Daya Guo, Akari Asai, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Jian Yin, Ming Zhou:
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning. CoRR abs/2004.03070 (2020) - [i23]Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts. CoRR abs/2004.12057 (2020) - [i22]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. CoRR abs/2004.13659 (2020) - [i21]Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin, Tie-Yan Liu:
SEEK: Segmented Embedding of Knowledge Graphs. CoRR abs/2005.00856 (2020) - [i20]Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou:
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. CoRR abs/2006.08101 (2020) - [i19]Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
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