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2020 – today
- 2025
[j13]Leping Zhang, Xiao Zhang, Yichao Wang, Xuan Li, Zhenhua Dong, Jun Xu:
Adapting Constrained Markov Decision Process for OCPC Bidding with Delayed Conversions. ACM Trans. Inf. Syst. 43(2): 47:1-47:29 (2025)- [c89]Xiao Zhang, Sunhao Dai, Jun Xu, Yong Liu, Zhenhua Dong:
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization. AAAI 2025: 22596-22604 - [c88]Sunhao Dai
, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu:
Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era. WSDM 2025: 998-1001 - [c87]Minjie Hong, Yan Xia, Zehan Wang, Jieming Zhu, Ye Wang, Sihang Cai, Xiaoda Yang, Quanyu Dai, Zhenhua Dong, Zhimeng Zhang, Zhou Zhao:
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration. WWW 2025: 2754-2762 - [c86]Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong:
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising. WWW 2025: 4408-4419 - [i69]Nuo Chen, Quanyu Dai, Xiaoyu Dong, Xiao-Ming Wu, Zhenhua Dong:
Evaluating Conversational Recommender Systems with Large Language Models: A User-Centric Evaluation Framework. CoRR abs/2501.09493 (2025) - [i68]Longtao Xiao, Haozhao Wang, Cheng Wang, Linfei Ji, Yifan Wang, Jieming Zhu, Zhenhua Dong, Rui Zhang, Ruixuan Li:
Progressive Collaborative and Semantic Knowledge Fusion for Generative Recommendation. CoRR abs/2502.06269 (2025) - [i67]Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong, Ji-Rong Wen:
CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry. CoRR abs/2502.07307 (2025) - [i66]Jiyuan Ren, Zhaocheng Du, Zhihao Wen, Qinglin Jia, Sunhao Dai, Chuhan Wu, Zhenhua Dong:
Few-shot LLM Synthetic Data with Distribution Matching. CoRR abs/2502.08661 (2025) - [i65]Jun Yuan, Guohao Cai, Zhenhua Dong:
A Contextual-Aware Position Encoding for Sequential Recommendation. CoRR abs/2502.09027 (2025) - [i64]Minjie Hong, Yan Xia, Zehan Wang, Jieming Zhu, Ye Wang, Sihang Cai, Xiaoda Yang, Quanyu Dai, Zhenhua Dong, Zhimeng Zhang, Zhou Zhao:
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration. CoRR abs/2502.14735 (2025) - [i63]Weihao Liu, Zhaocheng Du, Haiyuan Zhao, Wenbo Zhang, Xiaoyan Zhao, Gang Wang, Zhenhua Dong, Jun Xu:
Inference Computation Scaling for Feature Augmentation in Recommendation Systems. CoRR abs/2502.16040 (2025) - [i62]Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong:
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising. CoRR abs/2503.00334 (2025) - [i61]Xueyang Feng, Bo Lan, Quanyu Dai, Lei Wang, Jiakai Tang, Xu Chen, Zhenhua Dong, Ji-Rong Wen:
Improving Retrospective Language Agents via Joint Policy Gradient Optimization. CoRR abs/2503.01490 (2025) - [i60]Yuqi Zhou, Shuai Wang, Sunhao Dai, Qinglin Jia, Zhaocheng Du, Zhenhua Dong, Jun Xu:
CHOP: Mobile Operating Assistant with Constrained High-frequency Optimized Subtask Planning. CoRR abs/2503.03743 (2025) - [i59]Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. CoRR abs/2503.08684 (2025) - 2024
- [j12]Zhongxiang Sun, Weijie Yu, Zihua Si, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen:
Explainable Legal Case Matching via Graph Optimal Transport. IEEE Trans. Knowl. Data Eng. 36(6): 2461-2475 (2024) - [j11]Xiao Zhang, Teng Shi, Jun Xu, Zhenhua Dong, Ji-Rong Wen:
Model-Agnostic Causal Embedding Learning for Counterfactually Group-Fair Recommendation. IEEE Trans. Knowl. Data Eng. 36(12): 8801-8813 (2024) - [j10]Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen:
Syntactic-Informed Graph Networks for Sentence Matching. ACM Trans. Inf. Syst. 42(2): 38:1-38:29 (2024) - [c85]Lei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai:
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework. AAAI 2024: 21673-21680 - [c84]Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. ACL (Findings) 2024: 7052-7074 - [c83]Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong:
Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach. CIKM 2024: 2991-3001 - [c82]Boqi Dai, Zhaocheng Du, Jieming Zhu, Jintao Xu, Deqing Zou, Quanyu Dai, Zhenhua Dong, Rui Zhang, Hai-Tao Zheng:
UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning. CIKM 2024: 4446-4453 - [c81]Zexuan Qiu, Jieming Zhu, Yankai Chen, Guohao Cai, Weiwen Liu, Zhenhua Dong, Irwin King:
EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction. CIKM 2024: 4819-4827 - [c80]Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang:
Confidence-Aware Multi-Field Model Calibration. CIKM 2024: 5111-5118 - [c79]Jingsen Zhang, Xiaohe Bo, Chenxi Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Xu Chen:
Active Explainable Recommendation with Limited Labeling Budgets. ICASSP 2024: 5375-5379 - [c78]Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen:
Modeling User Attention in Music Recommendation. ICDE 2024: 761-774 - [c77]Ye Wang, Jiahao Xun, Minjie Hong, Jieming Zhu, Tao Jin, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia, Zhou Zhao, Zhenhua Dong:
EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration. KDD 2024: 3245-3254 - [c76]Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. KDD 2024: 4455-4466 - [c75]Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu:
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era. KDD 2024: 6437-6447 - [c74]Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong:
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey. KDD 2024: 6566-6576 - [c73]Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu:
Multi-sourced Integrated Ranking with Exposure Fairness. PAKDD (5) 2024: 207-218 - [c72]Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang:
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising. RecSys 2024: 633-642 - [c71]Jieming Zhu, Mengqun Jin, Qijiong Liu, Zexuan Qiu, Zhenhua Dong, Xiu Li:
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation. RecSys 2024: 969-974 - [c70]Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang:
LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. WWW (Companion Volume) 2024: 38-46 - [c69]Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu:
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. WWW (Companion Volume) 2024: 830-833 - [c68]Dong Yao, Jieming Zhu, Jiahao Xun, Shengyu Zhang, Zhou Zhao, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Xin Jiang:
MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer. WWW (Companion Volume) 2024: 967-970 - [c67]Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong:
Multimodal Pretraining and Generation for Recommendation: A Tutorial. WWW (Companion Volume) 2024: 1272-1275 - [e1]Tommaso Di Noia, Pasquale Lops, Thorsten Joachims, Katrien Verbert, Pablo Castells, Zhenhua Dong, Ben London:
Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024, Bari, Italy, October 14-18, 2024. ACM 2024, ISBN 979-8-4007-0505-2 [contents] - [i58]Yuang Zhao, Chuhan Wu, Qinglin Jia, Hong Zhu, Jia Yan, Libin Zong, Linxuan Zhang, Zhenhua Dong, Muyu Zhang:
Confidence-Aware Multi-Field Model Calibration. CoRR abs/2402.17655 (2024) - [i57]Hai Huang, Yan Xia, Shengpeng Ji, Shulei Wang, Hanting Wang, Jieming Zhu, Zhenhua Dong, Zhou Zhao:
Unlocking the Potential of Multimodal Unified Discrete Representation through Training-Free Codebook Optimization and Hierarchical Alignment. CoRR abs/2403.05168 (2024) - [i56]Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong:
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey. CoRR abs/2404.00621 (2024) - [i55]Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu:
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. CoRR abs/2404.09578 (2024) - [i54]Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu:
Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models. CoRR abs/2404.11457 (2024) - [i53]Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen:
A Survey on the Memory Mechanism of Large Language Model based Agents. CoRR abs/2404.13501 (2024) - [i52]Mengqun Jin, Zexuan Qiu, Jieming Zhu, Zhenhua Dong, Xiu Li:
Contrastive Quantization based Semantic Code for Generative Recommendation. CoRR abs/2404.14774 (2024) - [i51]Jieming Zhu, Chuhan Wu, Rui Zhang, Zhenhua Dong:
Multimodal Pretraining and Generation for Recommendation: A Tutorial. CoRR abs/2405.06927 (2024) - [i50]Xingmei Wang, Weiwen Liu, Xiaolong Chen, Qi Liu, Xu Huang, Defu Lian, Xiangyang Li, Yasheng Wang, Zhenhua Dong, Ruiming Tang:
CELA: Cost-Efficient Language Model Alignment for CTR Prediction. CoRR abs/2405.10596 (2024) - [i49]Yuang Zhao, Zhaocheng Du, Qinglin Jia, Linxuan Zhang, Zhenhua Dong, Ruiming Tang:
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation. CoRR abs/2405.12892 (2024) - [i48]Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong:
BankFair: Balancing Accuracy and Fairness under Varying User Traffic in Recommender System. CoRR abs/2405.16120 (2024) - [i47]Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. CoRR abs/2405.16546 (2024) - [i46]Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. CoRR abs/2405.17998 (2024) - [i45]Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. CoRR abs/2406.07932 (2024) - [i44]Ye Wang, Jiahao Xun, Mingjie Hong, Jieming Zhu, Tao Jin, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia, Zhou Zhao, Zhenhua Dong:
EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration. CoRR abs/2406.14017 (2024) - [i43]Minghui Fang, Shengpeng Ji, Jialong Zuo, Hai Huang, Yan Xia, Jieming Zhu, Xize Cheng, Xiaoda Yang, Wenrui Liu, Gang Wang, Zhenhua Dong, Zhou Zhao:
ACE: A Generative Cross-Modal Retrieval Framework with Coarse-To-Fine Semantic Modeling. CoRR abs/2406.17507 (2024) - [i42]Yusheng Lu, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan:
Prompt Tuning as User Inherent Profile Inference Machine. CoRR abs/2408.06577 (2024) - [i41]Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang:
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising. CoRR abs/2408.07907 (2024) - [i40]Zeyu Zhang, Quanyu Dai, Luyu Chen, Zeren Jiang, Rui Li, Jieming Zhu, Xu Chen, Yi Xie, Zhenhua Dong, Ji-Rong Wen:
MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants. CoRR abs/2409.20163 (2024) - [i39]Jun Yuan, Guohao Cai, Zhenhua Dong:
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems. CoRR abs/2410.05806 (2024) - [i38]Zhuo Wu, Qinglin Jia, Chuhan Wu, Zhaocheng Du, Shuai Wang, Zan Wang, Zhenhua Dong:
RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models. CoRR abs/2412.11068 (2024) - [i37]Jie-Jing Shao, Xiao-Wen Yang, Bo-Wen Zhang, Baizhi Chen, Wen-Da Wei, Guohao Cai, Zhenhua Dong, Lan-Zhe Guo, Yu-feng Li:
ChinaTravel: A Real-World Benchmark for Language Agents in Chinese Travel Planning. CoRR abs/2412.13682 (2024) - 2023
- [j9]Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. IEEE Trans. Knowl. Data Eng. 35(8): 8143-8156 (2023) - [j8]Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming:
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. ACM Trans. Inf. Syst. 41(4): 108:1-108:26 (2023) - [j7]Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. ACM Trans. Inf. Syst. 41(4): 114:1-114:25 (2023) - [j6]Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
Debiased Representation Learning in Recommendation via Information Bottleneck. Trans. Recomm. Syst. 1(1): 1-27 (2023) - [c66]Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu:
Multiple Robust Learning for Recommendation. AAAI 2023: 4417-4425 - [c65]Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong:
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. AAAI 2023: 4552-4560 - [c64]Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li:
Fair-CDA: Continuous and Directional Augmentation for Group Fairness. AAAI 2023: 9918-9926 - [c63]Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen:
Sequential Recommendation with User Causal Behavior Discovery. ICDE 2023: 28-40 - [c62]Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang:
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. KDD 2023: 5728-5738 - [c61]Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen:
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths. NeurIPS 2023 - [c60]Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang:
Optimal Transport for Treatment Effect Estimation. NeurIPS 2023 - [c59]Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. PAKDD (3) 2023: 400-413 - [c58]Qi Zhang, Zhibin Zhang, Biao Lu, Bangzheng He, Liangbi Li, Zhenhua Dong:
Large Scale CVR Prediction through Hierarchical History Modeling. RecSys Challenge 2023: 18-22 - [c57]Cheng Wang, Jiacheng Sun, Zhenhua Dong, Ruixuan Li, Rui Zhang:
Gradient Matching for Categorical Data Distillation in CTR Prediction. RecSys 2023: 161-170 - [c56]Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang:
Data-free Knowledge Distillation for Reusing Recommendation Models. RecSys 2023: 386-395 - [c55]Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. RecSys 2023: 528-539 - [c54]Chuhan Wu, Qinglin Jia, Zhenhua Dong, Ruiming Tang:
Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives. RecSys 2023: 1293-1294 - [c53]Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong:
Single-shot Feature Selection for Multi-task Recommendations. SIGIR 2023: 341-351 - [c52]Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu:
DisCover: Disentangled Music Representation Learning for Cover Song Identification. SIGIR 2023: 453-463 - [c51]Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang:
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation. SIGIR 2023: 548-557 - [c50]Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen:
Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. SIGIR 2023: 1549-1558 - [c49]Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang:
FINAL: Factorized Interaction Layer for CTR Prediction. SIGIR 2023: 2006-2010 - [c48]Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang:
Robust Causal Inference for Recommender System to Overcome Noisy Confounders. SIGIR 2023: 2349-2353 - [c47]Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition. SIGIR-AP 2023: 129-138 - [c46]Ruiqi Zhao, Lei Zhang, Shengyu Zhu, Zitong Lu, Zhenhua Dong, Chaoliang Zhang, Jun Xu, Zhi Geng, Yangbo He:
Conditional counterfactual causal effect for individual attribution. UAI 2023: 2519-2528 - [c45]Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. WSDM 2023: 913-921 - [c44]Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang:
Recommendation with Causality enhanced Natural Language Explanations. WWW 2023: 876-886 - [c43]Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu:
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. WWW 2023: 3309-3318 - [c42]Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong:
P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. WWW 2023: 3701-3711 - [i36]Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen:
REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation. CoRR abs/2303.00168 (2023) - [i35]Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming:
Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset. CoRR abs/2303.11574 (2023) - [i34]Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li:
Fair-CDA: Continuous and Directional Augmentation for Group Fairness. CoRR abs/2304.00295 (2023) - [i33]Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu:
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. CoRR abs/2304.00545 (2023) - [i32]Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong:
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. CoRR abs/2304.00902 (2023) - [i31]Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang:
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. CoRR abs/2306.08808 (2023) - [i30]Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu:
DisCover: Disentangled Music Representation Learning for Cover Song Identification. CoRR abs/2307.09775 (2023) - [i29]Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. CoRR abs/2308.08120 (2023) - [i28]Zhenhua Dong, Jieming Zhu, Weiwen Liu, Ruiming Tang:
Ten Challenges in Industrial Recommender Systems. CoRR abs/2310.04804 (2023) - [i27]Hao Wang, Zhichao Chen, Jiajun Fan, Haoxuan Li, Tianqiao Liu, Weiming Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang:
Optimal Transport for Treatment Effect Estimation. CoRR abs/2310.18286 (2023) - [i26]Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang:
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation. CoRR abs/2311.18213 (2023) - [i25]Dong Yao, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Ruiming Tang, Xin Jiang:
Music-PAW: Learning Music Representations via Hierarchical Part-whole Interaction and Contrast. CoRR abs/2312.06197 (2023) - 2022
- [j5]Quanyu Dai, Zhenhua Dong, Xu Chen:
Debiased recommendation with neural stratification. AI Open 3: 213-217 (2022) - [j4]Feng Zhi, Zhenhua Dong, Suri Guga, Yongbin Bao, Aru Han, Jiquan Zhang, Yulong Bao:
Rapid and Automated Mapping of Crop Type in Jilin Province Using Historical Crop Labels and the Google Earth Engine. Remote. Sens. 14(16): 4028 (2022) - [j3]Guibing Guo, Huan Zhou, Bowei Chen, Zhirong Liu, Xiao Xu, Xu Chen, Zhenhua Dong, Xiuqiang He:
IPGAN: Generating Informative Item Pairs by Adversarial Sampling. IEEE Trans. Neural Networks Learn. Syst. 33(2): 694-706 (2022) - [c41]Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, Qun Liu:
MINER: Multi-Interest Matching Network for News Recommendation. ACL (Findings) 2022: 343-352 - [c40]Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu:
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis. ACL (Findings) 2022: 1720-1732 - [c39]Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen:
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CIKM 2022: 2260-2269 - [c38]Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang:
IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System. CIKM 2022: 3292-3301 - [c37]Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang:
LCD: Adaptive Label Correction for Denoising Music Recommendation. CIKM 2022: 3903-3907 - [c36]Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen:
Semantic Sentence Matching via Interacting Syntax Graphs. COLING 2022: 938-949 - [c35]Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen:
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. COLING 2022: 2363-2373 - [c34]Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou:
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges. IJCAI 2022: 5646-5653 - [c33]Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun:
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. KDD 2022: 252-262 - [c32]Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen:
Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification. KDD 2022: 2504-2514 - [c31]Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang:
CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation. KDD 2022: 4090-4099 - [c30]Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen:
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. SIGIR 2022: 657-668 - [c29]Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang:
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. SIGIR 2022: 2692-2697 - [i24]Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. CoRR abs/2201.06056 (2022) - [i23]Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou:
Causal Analysis Framework for Recommendation. CoRR abs/2201.06716 (2022) - [i22]Yan Lyu, Sunhao Dai, Peng Wu, Quanyu Dai, Yuhao Deng, Wenjie Hu, Zhenhua Dong, Jun Xu, Shengyu Zhu, Xiao-Hua Zhou:
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems. CoRR abs/2202.11351 (2022) - [i21]Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu:
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis. CoRR abs/2203.16747 (2022) - [i20]Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen:
Sequential Recommendation with Causal Behavior Discovery. CoRR abs/2204.00216 (2022) - [i19]Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition. CoRR abs/2204.00815 (2022) - [i18]Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang:
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. CoRR abs/2204.11165 (2022) - [i17]Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen:
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. CoRR abs/2207.04182 (2022) - [i16]Quanyu Dai, Zhenhua Dong, Xu Chen:
Debiased Recommendation with Neural Stratification. CoRR abs/2208.07281 (2022) - [i15]Zhenhua Dong, Zhe Wang, Jun Xu, Ruiming Tang, Jirong Wen:
A Brief History of Recommender Systems. CoRR abs/2209.01860 (2022) - [i14]Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang:
IntTower: the Next Generation of Two-Tower Model for Pre-Ranking System. CoRR abs/2210.09890 (2022) - [i13]Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen:
Law Article-Enhanced Legal Case Matching: a Model-Agnostic Causal Learning Approach. CoRR abs/2210.11012 (2022) - [i12]Lei Wang, Xu Chen, Quanyu Dai, Zhenhua Dong:
Recommendation with User Active Disclosing Willingness. CoRR abs/2211.01155 (2022) - [i11]Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun:
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. CoRR abs/2211.06684 (2022) - 2021
- [c28]Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang:
Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation. AAAI 2021: 4249-4256 - [c27]Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He:
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CIKM 2021: 1243-1252 - [c26]Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang:
Top-N Recommendation with Counterfactual User Preference Simulation. CIKM 2021: 2342-2351 - [c25]Zhenhua Dong, Xiaoming Li:
Approximate Calculation Method of Electron Transit Time in Vacuum Microelectronic Triode. CSIA (1) 2021: 399-404 - [c24]Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang:
Dual Sequence Transformer for Query-based Interactive Recommendation. MDM 2021: 139-144 - [c23]Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
Mitigating Confounding Bias in Recommendation via Information Bottleneck. RecSys 2021: 351-360 - [i10]Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang:
Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation. CoRR abs/2103.03578 (2021) - [i9]Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang:
Top-N Recommendation with Counterfactual User Preference Simulation. CoRR abs/2109.02444 (2021) - [i8]Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He:
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CoRR abs/2109.12613 (2021) - 2020
- [c22]Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He:
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation. AAAI 2020: 67-74 - [c21]Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang:
Less Is Better: Unweighted Data Subsampling via Influence Function. AAAI 2020: 6340-6347 - [c20]Chih-Yao Chang, Xing Tang, Bo-Wen Yuan, Jui-Yang Hsia, Zhirong Liu, Zhenhua Dong, Xiuqiang He, Chih-Jen Lin:
AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction. MDM 2020: 202-209 - [c19]Bo-Wen Yuan, Yaxu Liu, Jui-Yang Hsia, Zhenhua Dong, Chih-Jen Lin:
Unbiased Ad Click Prediction for Position-aware Advertising Systems. RecSys 2020: 368-377 - [c18]Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen:
Counterfactual learning for recommender system. RecSys 2020: 568-569 - [c17]Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. SIGIR 2020: 831-840 - [c16]Jiangxing Yu, Hong Zhu, Chih-Yao Chang, Xinhua Feng, Bo-Wen Yuan, Xiuqiang He, Zhenhua Dong:
Influence Function for Unbiased Recommendation. SIGIR 2020: 1929-1932 - [c15]Zhenhua Dong, Xiaoming Li:
Design and Research of Electroless Copper Plating in Microelectronics. SPIoT (2) 2020: 811-815 - [c14]Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li:
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. WWW 2020: 2507-2513 - [i7]Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li:
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. CoRR abs/2001.10378 (2020) - [i6]Yichao Wang, Xiangyu Zhang, Zhirong Liu, Zhenhua Dong, Xinhua Feng, Ruiming Tang, Xiuqiang He:
Personalized Re-ranking for Improving Diversity in Live Recommender Systems. CoRR abs/2004.06390 (2020)
2010 – 2019
- 2019
- [c13]Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu:
Uncovering download fraud activities in mobile app markets. ASONAM 2019: 671-678 - [c12]Bo-Wen Yuan, Jui-Yang Hsia, Mengyuan Yang, Hong Zhu, Chih-Yao Chang, Zhenhua Dong, Chih-Jen Lin:
Improving Ad Click Prediction by Considering Non-displayed Events. CIKM 2019: 329-338 - [c11]Yansi Le, Huaiyu Zeng, Xu Zhou, Ning Deng, Sharief Megeed, Andy Shen, Zhenhua Dong, Zhiyong Feng, Tianhai Chang, Xiang Liu:
Real-Time Demonstration of an Integrated Metro-Access Network Carrying Live VR Traffic Based on Multi-Carrier Modulation and Simplified Sub-Band Coherent Detection. OFC 2019: 1-3 - [i5]Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu:
Uncovering Download Fraud Activities in Mobile App Markets. CoRR abs/1907.03048 (2019) - [i4]Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang:
Less Is Better: Unweighted Data Subsampling via Influence Function. CoRR abs/1912.01321 (2019) - 2018
- [j2]Hui Li, Ke Deng, Jiangtao Cui, Zhenhua Dong, Jianfeng Ma, Jianbin Huang:
Hidden community identification in location-based social network via probabilistic venue sequences. Inf. Sci. 422: 188-203 (2018) - [i3]Fei Chen, Zhenhua Dong, Zhenguo Li, Xiuqiang He:
Federated Meta-Learning for Recommendation. CoRR abs/1802.07876 (2018) - [i2]Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He, Zhenhua Dong:
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction. CoRR abs/1804.04950 (2018) - 2017
- [c10]Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S. Bhowmick, Zhenhua Dong:
PINOCCHIO: Probabilistic Influence-Based Location Selection over Moving Objects. ICDE 2017: 21-22 - [c9]Xiaodong Wang, Jianxiao Zou, Kai Li, Zhenhua Dong, Gang Zhang, Xie Chuan:
A model predictive control based zero-sequence circulating currents elimination algorithm for parallel operating three-level T-type inverters. IECON 2017: 583-588 - [c8]Kai Li, Chuan Xie, Min Wei, Zhenhua Dong, Mengshu Li, Josep M. Guerrero:
A unified triangle carrier based PWM strategy for three-phase N-level diode clamped inverters. IECON 2017: 726-731 - [i1]Vahid Aref, Zhenhua Dong, Henning Bülow:
Design Aspects of Multi-Soliton Pulses for Optical Fiber Transmission. CoRR abs/1701.07981 (2017) - 2016
- [j1]Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S. Bhowmick, Zhenhua Dong:
PINOCCHIO: Probabilistic Influence-Based Location Selection over Moving Objects. IEEE Trans. Knowl. Data Eng. 28(11): 3068-3082 (2016) - [c7]Kai Li, Xiaodong Wang, Zhenhua Dong, Xianzhi Wang, Josep M. Guerrero, Juan C. Vasquez, Qingsong Wang:
Elimination of zero sequence circulating current between parallel operating three-level inverters. IECON 2016: 2277-2282 - [c6]Tao Gui, Zhenhua Dong, Chao Lu, Alexander Ping-Kong Wai, Alan Pak Tao Lau:
Phase modulation on nonlinear discrete spectrum for Nonlinear Frequency Division Multiplexed transmissions. OFC 2016: 1-3 - 2015
- [c5]Zhenhua Dong, Qi Sui, Alan Pak Tao Lau, Kangping Zhong, Liangchuan Li, Zhaohui Li, Chao Lu:
Optical performance monitoring in DSP-based coherent optical systems. OFC 2015: 1-3 - 2014
- [c4]Jie Liu, Zhenhua Dong, Kangping Zhong, Alan Pak Tao Lau, Chao Lu, Yanzhao Lu:
Modulation format identification based on received signal power distributions for digital coherent receivers. OFC 2014: 1-3 - 2012
- [c3]Zhenhua Dong, Chuan Shi, Shilad Sen, Loren G. Terveen, John Riedl:
War Versus Inspirational in Forrest Gump: Cultural Effects in Tagging Communities. ICWSM 2012 - [c2]Morten Warncke-Wang, Anuradha Uduwage, Zhenhua Dong, John Riedl:
In search of the ur-Wikipedia: universality, similarity, and translation in the Wikipedia inter-language link network. WikiSym 2012: 20 - 2011
- [c1]Shyong K. Lam, Anuradha Uduwage, Zhenhua Dong, Shilad Sen, David R. Musicant, Loren G. Terveen, John Riedl:
WP: clubhouse?: an exploration of Wikipedia's gender imbalance. Int. Sym. Wikis 2011: 1-10
Coauthor Index
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