Zhenhua Dong

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 137

Top Venues

Publications

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 (2024)
Yuang Zhao, Zhaocheng Du, Qinglin Jia, Linxuan Zhang, Zhenhua Dong, Ruiming Tang
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation. CoRR (2024)
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 (2024)
Lei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework. AAAI (2024)
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 (2024)
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)
Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong
Multimodal Pretraining and Generation for Recommendation: A Tutorial. WWW (Companion Volume) (2024)
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)
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)
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)
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)
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)
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 (2024)
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 (2024)
Jingsen Zhang, Xiaohe Bo, Chenxi Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Xu Chen
Active Explainable Recommendation with Limited Labeling Budgets. ICASSP (2024)
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)
Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen
Syntactic-Informed Graph Networks for Sentence Matching. ACM Trans. Inf. Syst. 42 (2) (2024)
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)
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 (2024)
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 (2024)
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)
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 (2024)
Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. CoRR (2024)
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) (2024)
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 (2024)
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 (2024)
Mengqun Jin, Zexuan Qiu, Jieming Zhu, Zhenhua Dong, Xiu Li
Contrastive Quantization based Semantic Code for Generative Recommendation. CoRR (2024)
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 (2024)
Jieming Zhu, Chuhan Wu, Rui Zhang, Zhenhua Dong
Multimodal Pretraining and Generation for Recommendation: A Tutorial. CoRR (2024)
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)
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 (2024)
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 (2023)
Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong
Single-shot Feature Selection for Multi-task Recommendations. SIGIR (2023)
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 (2023)
Zhenhua Dong, Jieming Zhu, Weiwen Liu, Ruiming Tang
Ten Challenges in Industrial Recommender Systems. CoRR (2023)
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)
Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang
Data-free Knowledge Distillation for Reusing Recommendation Models. RecSys (2023)
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) (2023)
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)
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)
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)
Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. CoRR (2023)
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)
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 (2023)
Cheng Wang, Jiacheng Sun, Zhenhua Dong, Ruixuan Li, Rui Zhang
Gradient Matching for Categorical Data Distillation in CTR Prediction. RecSys (2023)
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)
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) (2023)
Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. AAAI (2023)
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)
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 (2023)
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)
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) (2023)
Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen
Sequential Recommendation with User Causal Behavior Discovery. ICDE (2023)
Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen
Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. SIGIR (2023)
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)
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)
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)
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)
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 (2023)
Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. CoRR (2023)
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) (2023)
Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang
Robust Causal Inference for Recommender System to Overcome Noisy Confounders. SIGIR (2023)
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)
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 (2023)
Qi Zhang, Zhibin Zhang, Biao Lu, Bangzheng He, Liangbi Li, Zhenhua Dong
Large Scale CVR Prediction through Hierarchical History Modeling. RecSys Challenge (2023)
Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang
Recommendation with Causality enhanced Natural Language Explanations. WWW (2023)
Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. CoRR (2023)
Chuhan Wu, Qinglin Jia, Zhenhua Dong, Ruiming Tang
Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives. RecSys (2023)
Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu
Multiple Robust Learning for Recommendation. AAAI (2023)
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 (2023)
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)
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 (2023)
Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen
Semantic Sentence Matching via Interacting Syntax Graphs. COLING (2022)
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) (2022)
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)
Lei Wang, Xu Chen, Quanyu Dai, Zhenhua Dong
Recommendation with User Active Disclosing Willingness. CoRR (2022)
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)
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 (2022)
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 (2022)
Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen
Sequential Recommendation with Causal Behavior Discovery. CoRR (2022)
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)
Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen
Law Article-Enhanced Legal Case Matching: a Model-Agnostic Causal Learning Approach. CoRR (2022)
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 (2022)
Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition. CoRR (2022)
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)
Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen
Debiased Recommendation with User Feature Balancing. CoRR (2022)
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 (2022)
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 (2022)
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)
Quanyu Dai, Zhenhua Dong, Xu Chen
Debiased Recommendation with Neural Stratification. CoRR (2022)
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) (2022)
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)
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)
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 (2022)
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)
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)
Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CIKM (2022)
Zhenhua Dong, Zhe Wang, Jun Xu, Ruiming Tang, Jirong Wen
A Brief History of Recommender Systems. CoRR (2022)
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 (2022)
Quanyu Dai, Zhenhua Dong, Xu Chen
Debiased recommendation with neural stratification. AI Open 3 (2022)

Zhenhua Dong.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Zhenhua Dong