WP: clubhouse?: an exploration of Wikipedia's gender imbalance. - Shyong K. Lam; Anuradha Uduwage; Zhenhua Dong; Shilad Sen; David R. Musicant; Loren G. Terveen; John Riedl (Int. Sym. Wikis, 2011)

War Versus Inspirational in Forrest Gump: Cultural Effects in Tagging Communities. - Zhenhua Dong; Chuan Shi 008; Shilad Sen; Loren G. Terveen; John Riedl (ICWSM, 2012)

In search of the ur-Wikipedia: universality, similarity, and translation in the Wikipedia inter-language link network. - Morten Warncke-Wang; Anuradha Uduwage; Zhenhua Dong; John Riedl (WikiSym, 2012)

Modulation format identification based on received signal power distributions for digital coherent receivers. - Jie Liu; Zhenhua Dong; Kangping Zhong; Alan Pak Tao Lau; Chao Lu 001; Yanzhao Lu (OFC, 2014)

Optical performance monitoring in DSP-based coherent optical systems. - Zhenhua Dong; Qi Sui; Alan Pak Tao Lau; Kangping Zhong; Liangchuan Li; Zhaohui Li; Chao Lu 001 (OFC, 2015)

Elimination of zero sequence circulating current between parallel operating three-level inverters. - Kai Li 014; Xiaodong Wang; Zhenhua Dong; Xianzhi Wang 001; Josep M. Guerrero; Juan C. Vasquez 001; Qingsong Wang (IECON, 2016)

Phase modulation on nonlinear discrete spectrum for Nonlinear Frequency Division Multiplexed transmissions. - Tao Gui; Zhenhua Dong; Chao Lu 001; Alexander Ping-Kong Wai; Alan Pak Tao Lau (OFC, 2016)

PINOCCHIO: Probabilistic Influence-Based Location Selection over Moving Objects. - Meng Wang 015; Hui Li 005; Jiangtao Cui; Ke Deng; Sourav S. Bhowmick; Zhenhua Dong (IEEE Trans. Knowl. Data Eng., 2016)

A unified triangle carrier based PWM strategy for three-phase N-level diode clamped inverters. - Kai Li 014; Chuan Xie; Min Wei; Zhenhua Dong; Mengshu Li; Josep M. Guerrero (IECON, 2017)

A model predictive control based zero-sequence circulating currents elimination algorithm for parallel operating three-level T-type inverters. - Xiaodong Wang; Jianxiao Zou; Kai Li 014; Zhenhua Dong; Gang Zhang; Xie Chuan (IECON, 2017)

Design Aspects of Multi-Soliton Pulses for Optical Fiber Transmission. - Vahid Aref; Zhenhua Dong; Henning Bülow (CoRR, 2017)

Federated Meta-Learning for Recommendation. - Fei Chen 013; Zhenhua Dong; Zhenguo Li; Xiuqiang He 001 (CoRR, 2018)

DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction. - Huifeng Guo; Ruiming Tang; Yunming Ye; Zhenguo Li; Xiuqiang He 001; Zhenhua Dong (CoRR, 2018)

Hidden community identification in location-based social network via probabilistic venue sequences. - Hui Li 005; Ke Deng; Jiangtao Cui; Zhenhua Dong; Jianfeng Ma 001; Jianbin Huang (Inf. Sci., 2018)

Uncovering download fraud activities in mobile app markets. - Yingtong Dou; Weijian Li 001; Zhirong Liu; Zhenhua Dong; Jiebo Luo 001; Philip S. Yu (ASONAM, 2019)

Improving Ad Click Prediction by Considering Non-displayed Events. - Bo-Wen Yuan; Jui-Yang Hsia; Mengyuan Yang; Hong Zhu 003; Chih-Yao Chang; Zhenhua Dong; Chih-Jen Lin (CIKM, 2019)

Real-Time Demonstration of an Integrated Metro-Access Network Carrying Live VR Traffic Based on Multi-Carrier Modulation and Simplified Sub-Band Coherent Detection. - Yansi Le; Huaiyu Zeng; Xu Zhou; Ning Deng 007; Sharief Megeed; Andy Shen; Zhenhua Dong; Zhiyong Feng; Tianhai Chang; Xiang Liu 013 (OFC, 2019)

Leveraging Title-Abstract Attentive Semantics for Paper Recommendation. - Guibing Guo; Bowei Chen 004; Xiaoyan Zhang 002; Zhirong Liu; Zhenhua Dong; Xiuqiang He 001 (AAAI, 2020)

Less Is Better: Unweighted Data Subsampling via Influence Function. - Zifeng Wang 008; Hong Zhu 003; Zhenhua Dong; Xiuqiang He 001; Shao-Lun Huang (AAAI, 2020)

AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction. - Chih-Yao Chang; Xing Tang 007; Bo-Wen Yuan; Jui-Yang Hsia; Zhirong Liu; Zhenhua Dong; Xiuqiang He 001; Chih-Jen Lin (MDM, 2020)

Counterfactual learning for recommender system. - Zhenhua Dong; Hong Zhu 003; Pengxiang Cheng 002; Xinhua Feng; Guohao Cai; Xiuqiang He 001; Jun Xu 001; Jirong Wen (RecSys, 2020)

Unbiased Ad Click Prediction for Position-aware Advertising Systems. - Bo-Wen Yuan; Yaxu Liu; Jui-Yang Hsia; Zhenhua Dong; Chih-Jen Lin (RecSys, 2020)

A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. - Dugang Liu; Pengxiang Cheng 002; Zhenhua Dong; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (SIGIR, 2020)

Influence Function for Unbiased Recommendation. - Jiangxing Yu; Hong Zhu 003; Chih-Yao Chang; Xinhua Feng; Bo-Wen Yuan; Xiuqiang He 001; Zhenhua Dong (SIGIR, 2020)

Design and Research of Electroless Copper Plating in Microelectronics. - Zhenhua Dong; Xiaoming Li (SPIoT (2), 2020)

MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. - Mi Luo; Fei Chen 013; Pengxiang Cheng 002; Zhenhua Dong; Xiuqiang He 001; Jiashi Feng; Zhenguo Li (WWW, 2020)

Personalized Re-ranking for Improving Diversity in Live Recommender Systems. - Yichao Wang 002; Xiangyu Zhang; Zhirong Liu; Zhenhua Dong; Xinhua Feng; Ruiming Tang; Xiuqiang He 001 (CoRR, 2020)

Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation. - Chang Liu 094; Xiaoguang Li; Guohao Cai; Zhenhua Dong; Hong Zhu 003; Lifeng Shang (AAAI, 2021)

SimpleX: A Simple and Strong Baseline for Collaborative Filtering. - Kelong Mao; Jieming Zhu; Jinpeng Wang; Quanyu Dai; Zhenhua Dong; Xi Xiao; Xiuqiang He 001 (CIKM, 2021)

Top-N Recommendation with Counterfactual User Preference Simulation. - Mengyue Yang; Quanyu Dai; Zhenhua Dong; Xu Chen 017; Xiuqiang He 001; Jun Wang 012 (CIKM, 2021)

Approximate Calculation Method of Electron Transit Time in Vacuum Microelectronic Triode. - Zhenhua Dong; Xiaoming Li (CSIA (1), 2021)

Dual Sequence Transformer for Query-based Interactive Recommendation. - Guohao Cai; Xiaoguang Li; Quanyu Dai; Gang Wang 056; Zhenhua Dong; Chaoliang Zhang; Xiuqiang He 001; Lifeng Shang (MDM, 2021)

Mitigating Confounding Bias in Recommendation via Information Bottleneck. - Dugang Liu; Pengxiang Cheng 002; Hong Zhu 003; Zhenhua Dong; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (RecSys, 2021)

Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation. - Chang Liu 094; Xiaoguang Li; Guohao Cai; Zhenhua Dong; Hong Zhu 003; Lifeng Shang (CoRR, 2021)

How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis. - Shaobo Li 004; Xiaoguang Li; Lifeng Shang; Zhenhua Dong; Chengjie Sun; Bingquan Liu; Zhenzhou Ji; Xin Jiang 002; Qun Liu 001 (ACL (Findings), 2022)

MINER: Multi-Interest Matching Network for News Recommendation. - Jian Li 054; Jieming Zhu; Qiwei Bi; Guohao Cai; Lifeng Shang; Zhenhua Dong; Xin Jiang 002; Qun Liu 001 (ACL (Findings), 2022)

LCD: Adaptive Label Correction for Denoising Music Recommendation. - Quanyu Dai; Yalei Lv; Jieming Zhu; Junjie Ye; Zhenhua Dong; Rui Zhang 003; Shu-Tao Xia; Ruiming Tang (CIKM, 2022)

IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System. - Xiangyang Li; Bo Chen 023; Huifeng Guo; Jingjie Li; Chenxu Zhu; Xiang Long; Sujian Li; Yichao Wang 002; Wei Guo 006; Longxia Mao; Jinxing Liu; Zhenhua Dong; et al. (CIKM, 2022)

Dually Enhanced Propensity Score Estimation in Sequential Recommendation. - Chen Xu 010; Jun Xu 001; Xu Chen 017; Zhenhua Dong; Ji-Rong Wen (CIKM, 2022)

Semantic Sentence Matching via Interacting Syntax Graphs. - Chen Xu 010; Jun Xu 001; Zhenhua Dong; Ji-Rong Wen (COLING, 2022)

Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. - Weijie Yu 003; Liang Pang; Jun Xu 001; Bing Su 001; Zhenhua Dong; Ji-Rong Wen (COLING, 2022)

On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges. - Peng Wu 012; Haoxuan Li 001; Yuhao Deng; Wenjie Hu; Quanyu Dai; Zhenhua Dong; Jie Sun 007; Rui Zhang; Xiao-Hua Zhou (IJCAI, 2022)

CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation. - Yichao Wang 002; Huifeng Guo; Bo Chen 023; Weiwen Liu; Zhirong Liu; Qi Zhang 001; Zhicheng He 001; Hongkun Zheng; Weiwei Yao; Muyu Zhang; Zhenhua Dong; Ruiming Tang (KDD, 2022)

A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. - Quanyu Dai; Haoxuan Li 001; Peng Wu 012; Zhenhua Dong; Xiao-Hua Zhou; Rui Zhang 079; Rui Zhang 003; Jie Sun 007 (KDD, 2022)

Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification. - Xiao Zhang 034; Sunhao Dai; Jun Xu 001; Zhenhua Dong; Quanyu Dai; Ji-Rong Wen (KDD, 2022)

ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. - Guohao Cai; Jieming Zhu; Quanyu Dai; Zhenhua Dong; Xiuqiang He 001; Ruiming Tang; Rui Zhang 003 (SIGIR, 2022)

Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. - Weijie Yu 003; Zhongxiang Sun; Jun Xu 001; Zhenhua Dong; Xu Chen 017; Hongteng Xu; Ji-Rong Wen (SIGIR, 2022)

Debiased Recommendation with User Feature Balancing. - Mengyue Yang; Guohao Cai; Furui Liu; Zhenhua Dong; Xiuqiang He 001; Jianye Hao; Jun Wang 012; Xu Chen 017 (CoRR, 2022)

Causal Analysis Framework for Recommendation. - Peng Wu 012; Haoxuan Li 001; Yuhao Deng; Wenjie Hu; Quanyu Dai; Zhenhua Dong; Jie Sun 007; Rui Zhang; Xiao-Hua Zhou (CoRR, 2022)

A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems. - Yan Lyu; Sunhao Dai; Peng Wu 012; Quanyu Dai; Yuhao Deng; Wenjie Hu; Zhenhua Dong; Jun Xu 001; Shengyu Zhu 001; Xiao-Hua Zhou (CoRR, 2022)

Sequential Recommendation with Causal Behavior Discovery. - Zhenlei Wang; Xu Chen 017; Zhenhua Dong; Quanyu Dai; Ji-Rong Wen (CoRR, 2022)

A Brief History of Recommender Systems. - Zhenhua Dong; Zhe Wang; Jun Xu 001; Ruiming Tang; Jirong Wen (CoRR, 2022)

Law Article-Enhanced Legal Case Matching: a Model-Agnostic Causal Learning Approach. - Zhongxiang Sun; Jun Xu 001; Xiao Zhang 034; Zhenhua Dong; Ji-Rong Wen (CoRR, 2022)

Recommendation with User Active Disclosing Willingness. - Lei Wang 198; Xu Chen 017; Quanyu Dai; Zhenhua Dong (CoRR, 2022)

Rapid and Automated Mapping of Crop Type in Jilin Province Using Historical Crop Labels and the Google Earth Engine. - Feng Zhi; Zhenhua Dong; Suri Guga; Yongbin Bao; Aru Han; Jiquan Zhang; Yulong Bao (Remote. Sens., 2022)

IPGAN: Generating Informative Item Pairs by Adversarial Sampling. - Guibing Guo; Huan Zhou; Bowei Chen 004; Zhirong Liu; Xiao Xu 005; Xu Chen 017; Zhenhua Dong; Xiuqiang He 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Debiased recommendation with neural stratification. - Quanyu Dai; Zhenhua Dong; Xu Chen 017 (AI Open, 2022)

Multiple Robust Learning for Recommendation. - Haoxuan Li 001; Quanyu Dai; Yuru Li; Yan Lyu; Zhenhua Dong; Xiao-Hua Zhou; Peng Wu 012 (AAAI, 2023)

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. - Kelong Mao; Jieming Zhu; Liangcai Su; Guohao Cai; Yuru Li; Zhenhua Dong (AAAI, 2023)

Fair-CDA: Continuous and Directional Augmentation for Group Fairness. - Rui Sun; Fengwei Zhou; Zhenhua Dong; Chuanlong Xie; Lanqing Hong; Jiawei Li; Rui Zhang 003; Zhen Li; Zhenguo Li (AAAI, 2023)

Sequential Recommendation with User Causal Behavior Discovery. - Zhenlei Wang; Xu Chen 017; Rui Zhou; Quanyu Dai; Zhenhua Dong; Ji-Rong Wen (ICDE, 2023)

ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. - Jieming Zhu; Guohao Cai; Junjie Huang; Zhenhua Dong; Ruiming Tang; Weinan Zhang 001 (KDD, 2023)

REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths. - Xu Chen 017; Jingsen Zhang; Lei Wang 198; Quanyu Dai; Zhenhua Dong; Ruiming Tang; Rui Zhang 003; Li Chen; Xin Zhao 018; Ji-Rong Wen (NeurIPS, 2023)

Optimal Transport for Treatment Effect Estimation. - Hao Wang 049; Jiajun Fan; Zhichao Chen 001; Haoxuan Li 001; Weiming Liu 005; Tianqiao Liu; Quanyu Dai; Yichao Wang 002; Zhenhua Dong; Ruiming Tang (NeurIPS, 2023)

RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. - Jing Wang 055; Mengchen Zhao; Wei Xia 001; Zhenhua Dong; Ruiming Tang; Rui Zhang 003; Jianye Hao; Guangyong Chen; Pheng-Ann Heng (PAKDD (3), 2023)

Gradient Matching for Categorical Data Distillation in CTR Prediction. - Cheng Wang 025; Jiacheng Sun; Zhenhua Dong; Ruixuan Li 001; Rui Zhang 003 (RecSys, 2023)

Data-free Knowledge Distillation for Reusing Recommendation Models. - Cheng Wang 025; Jiacheng Sun; Zhenhua Dong; Jieming Zhu; Zhenguo Li; Ruixuan Li 001; Rui Zhang 003 (RecSys, 2023)

Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives. - Chuhan Wu; Qinglin Jia; Zhenhua Dong; Ruiming Tang (RecSys, 2023)

Large Scale CVR Prediction through Hierarchical History Modeling. - Qi Zhang; Zhibin Zhang; Biao Lu; Bangzheng He; Liangbi Li; Zhenhua Dong (RecSys Challenge, 2023)

Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. - Haiyuan Zhao; Lei Zhang; Jun Xu 001; Guohao Cai; Zhenhua Dong; Ji-Rong Wen (RecSys, 2023)

Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition. - Haiyuan Zhao; Jun Xu 001; Xiao Zhang 034; Guohao Cai; Zhenhua Dong; Ji-Rong Wen (SIGIR-AP, 2023)

Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation. - Liangcai Su; Fan Yan; Jieming Zhu; Xi Xiao; Haoyi Duan; Zhou Zhao 001; Zhenhua Dong; Ruiming Tang (SIGIR, 2023)

Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. - Zhongxiang Sun; Jun Xu 001; Xiao Zhang 034; Zhenhua Dong; Ji-Rong Wen (SIGIR, 2023)

Single-shot Feature Selection for Multi-task Recommendations. - Yejing Wang; Zhaocheng Du; Xiangyu Zhao 001; Bo Chen 023; Huifeng Guo; Ruiming Tang; Zhenhua Dong (SIGIR, 2023)

DisCover: Disentangled Music Representation Learning for Cover Song Identification. - Jiahao Xun; Shengyu Zhang 001; Yanting Yang; Jieming Zhu; Liqun Deng; Zhou Zhao 001; Zhenhua Dong; Ruiqi Li; Lichao Zhang; Fei Wu 001 (SIGIR, 2023)

Robust Causal Inference for Recommender System to Overcome Noisy Confounders. - Zhiheng Zhang; Quanyu Dai; Xu Chen 017; Zhenhua Dong; Ruiming Tang (SIGIR, 2023)

FINAL: Factorized Interaction Layer for CTR Prediction. - Jieming Zhu; Qinglin Jia; Guohao Cai; Quanyu Dai; Jingjie Li; Zhenhua Dong; Ruiming Tang; Rui Zhang 003 (SIGIR, 2023)

Conditional counterfactual causal effect for individual attribution. - Ruiqi Zhao; Lei Zhang; Shengyu Zhu 001; Zitong Lu; Zhenhua Dong; Chaoliang Zhang; Jun Xu 001; Zhi Geng; Yangbo He (UAI, 2023)

Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. - Haiyuan Zhao; Jun Xu 001; Xiao Zhang 034; Guohao Cai; Zhenhua Dong; Ji-Rong Wen (WSDM, 2023)

FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. - Qijiong Liu; Jieming Zhu; Jiahao Wu 004; Tiandeng Wu; Zhenhua Dong; Xiao-Ming Wu 003 (WWW, 2023)

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. - Chen Xu 010; Sirui Chen; Jun Xu 001; Weiran Shen; Xiao Zhang 034; Gang Wang 056; Zhenhua Dong (WWW, 2023)

Recommendation with Causality enhanced Natural Language Explanations. - Jingsen Zhang; Xu Chen 017; Jiakai Tang; Weiqi Shao; Quanyu Dai; Zhenhua Dong; Rui Zhang 003 (WWW, 2023)

REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation. - Xu Chen 017; Jingsen Zhang; Lei Wang 198; Quanyu Dai; Zhenhua Dong; Ruiming Tang; Rui Zhang 003; Li Chen; Ji-Rong Wen (CoRR, 2023)

Ten Challenges in Industrial Recommender Systems. - Zhenhua Dong; Jieming Zhu; Weiwen Liu; Ruiming Tang (CoRR, 2023)

Music-PAW: Learning Music Representations via Hierarchical Part-whole Interaction and Contrast. - Dong Yao; Shengyu Zhang 001; Zhou Zhao 001; Jieming Zhu; Liqun Deng; Wenqiao Zhang; Zhenhua Dong; Ruiming Tang; Xin Jiang 002 (CoRR, 2023)

Debiased Representation Learning in Recommendation via Information Bottleneck. - Dugang Liu; Pengxiang Cheng 002; Hong Zhu 003; Zhenhua Dong; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (Trans. Recomm. Syst., 2023)

KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. - Dugang Liu; Pengxiang Cheng 002; Zinan Lin 004; Jinwei Luo; Zhenhua Dong; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (IEEE Trans. Knowl. Data Eng., 2023)

Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. - Dugang Liu; Pengxiang Cheng 002; Zinan Lin 004; Xiaolian Zhang; Zhenhua Dong; Rui Zhang 003; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (ACM Trans. Inf. Syst., 2023)

Debiased Recommendation with User Feature Balancing. - Mengyue Yang; Guohao Cai; Furui Liu; Jiarui Jin; Zhenhua Dong; Xiuqiang He 001; Jianye Hao; Weiqi Shao; Jun Wang 012; Xu Chen 017 (ACM Trans. Inf. Syst., 2023)

Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework. - Lei Wang 198; Xu Chen 017; Zhenhua Dong; Quanyu Dai (AAAI, 2024)

Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. - Sunhao Dai; Weihao Liu; Yuqi Zhou 001; Liang Pang; Rongju Ruan; Gang Wang 056; Zhenhua Dong; Jun Xu 001; Ji-Rong Wen (ACL (Findings), 2024)

UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning. - Boqi Dai; Zhaocheng Du; Jieming Zhu; Jintao Xu; Deqing Zou; Quanyu Dai; Zhenhua Dong; Rui Zhang 003; Hai-Tao Zheng 002 (CIKM, 2024)

EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction. - Zexuan Qiu; Jieming Zhu; Yankai Chen 001; Guohao Cai; Weiwen Liu; Zhenhua Dong; Irwin King (CIKM, 2024)

Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach. - Xiaopeng Ye; Chen Xu 010; Jun Xu 001; Xuyang Xie; Gang Wang 056; Zhenhua Dong (CIKM, 2024)

Confidence-Aware Multi-Field Model Calibration. - Yuang Zhao; Chuhan Wu; Qinglin Jia; Hong Zhu 003; Jia Yan; Libin Zong; Linxuan Zhang; Zhenhua Dong; Muyu Zhang (CIKM, 2024)

Active Explainable Recommendation with Limited Labeling Budgets. - Jingsen Zhang; Xiaohe Bo; Chenxi Wang; Quanyu Dai; Zhenhua Dong; Ruiming Tang; Xu Chen 017 (ICASSP, 2024)

Modeling User Attention in Music Recommendation. - Sunhao Dai; Ninglu Shao; Jieming Zhu; Xiao Zhang 034; Zhenhua Dong; Jun Xu 001; Quanyu Dai; Ji-Rong Wen (ICDE, 2024)

Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era. - Sunhao Dai; Chen Xu 010; Shicheng Xu; Liang Pang; Zhenhua Dong; Jun Xu 001 (KDD, 2024)

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey. - Qijiong Liu; Jieming Zhu; Yanting Yang; Quanyu Dai; Zhaocheng Du; Xiao-Ming Wu 003; Zhou Zhao 001; Rui Zhang 003; Zhenhua Dong (KDD, 2024)

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration. - Ye Wang 018; Jiahao Xun; Minjie Hong; Jieming Zhu; Tao Jin 004; Wang Lin; Haoyuan Li 002; Linjun Li; Yan Xia 006; Zhou Zhao 001; Zhenhua Dong (KDD, 2024)

Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. - Haiyuan Zhao; Guohao Cai; Jieming Zhu; Zhenhua Dong; Jun Xu 001; Ji-Rong Wen (KDD, 2024)

Multi-sourced Integrated Ranking with Exposure Fairness. - Yifan Liu 008; Weiwen Liu; Wei Xia 001; Jieming Zhu; Weinan Zhang 001; Zhenhua Dong; Yang Wang 019; Ruiming Tang; Rui Zhang 003; Yong Yu 001 (PAKDD (5), 2024)

AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising. - Yang Yang 001; Bo Chen 023; Chenxu Zhu; Menghui Zhu; Xinyi Dai; Huifeng Guo; Muyu Zhang; Zhenhua Dong; Ruiming Tang (RecSys, 2024)

CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation. - Jieming Zhu; Mengqun Jin; Qijiong Liu; Zexuan Qiu; Zhenhua Dong; Xiu Li 001 (RecSys, 2024)

LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. - Zhaocheng Du; Junhao Chen; Qinglin Jia; Chuhan Wu; Jieming Zhu; Zhenhua Dong; Ruiming Tang (WWW (Companion Volume), 2024)

Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. - Junjie Huang; Guohao Cai; Jieming Zhu; Zhenhua Dong; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (WWW (Companion Volume), 2024)

MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer. - Dong Yao; Jieming Zhu; Jiahao Xun; Shengyu Zhang 001; Zhou Zhao 001; Liqun Deng; Wenqiao Zhang; Zhenhua Dong; Xin Jiang 002 (WWW (Companion Volume), 2024)

Multimodal Pretraining and Generation for Recommendation: A Tutorial. - Jieming Zhu; Xin Zhou 008; Chuhan Wu; Rui Zhang 003; Zhenhua Dong (WWW (Companion Volume), 2024)

Unlocking the Potential of Multimodal Unified Discrete Representation through Training-Free Codebook Optimization and Hierarchical Alignment. - Hai Huang 013; Yan Xia 006; Shengpeng Ji; Shulei Wang; Hanting Wang; Jieming Zhu; Zhenhua Dong; Zhou Zhao 001 (CoRR, 2024)

Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models. - Sunhao Dai; Chen Xu 010; Shicheng Xu; Liang Pang; Zhenhua Dong; Jun Xu 001 (CoRR, 2024)

A Survey on the Memory Mechanism of Large Language Model based Agents. - Zeyu Zhang 007; Xiaohe Bo; Chen Ma 001; Rui Li 086; Xu Chen 017; Quanyu Dai; Jieming Zhu; Zhenhua Dong; Ji-Rong Wen (CoRR, 2024)

Contrastive Quantization based Semantic Code for Generative Recommendation. - Mengqun Jin; Zexuan Qiu; Jieming Zhu; Zhenhua Dong; Xiu Li 001 (CoRR, 2024)

Multimodal Pretraining and Generation for Recommendation: A Tutorial. - Jieming Zhu; Chuhan Wu; Rui Zhang 003; Zhenhua Dong (CoRR, 2024)

CELA: Cost-Efficient Language Model Alignment for CTR Prediction. - Xingmei Wang 001; Weiwen Liu; Xiaolong Chen; Qi Liu 003; Xu Huang 008; Defu Lian; Xiangyang Li; Yasheng Wang; Zhenhua Dong; Ruiming Tang (CoRR, 2024)

Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation. - Yuang Zhao; Zhaocheng Du; Qinglin Jia; Linxuan Zhang; Zhenhua Dong; Ruiming Tang (CoRR, 2024)

BankFair: Balancing Accuracy and Fairness under Varying User Traffic in Recommender System. - Xiaopeng Ye; Chen Xu 010; Jun Xu 001; Xuyang Xie; Gang Wang 056; Zhenhua Dong (CoRR, 2024)

Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. - Yuqi Zhou 001; Sunhao Dai; Liang Pang; Gang Wang 056; Zhenhua Dong; Jun Xu 001; Ji-Rong Wen (CoRR, 2024)

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration. - Ye Wang 018; Jiahao Xun; Mingjie Hong; Jieming Zhu; Tao Jin 004; Wang Lin; Haoyuan Li 002; Linjun Li; Yan Xia 006; Zhou Zhao 001; Zhenhua Dong (CoRR, 2024)

ACE: A Generative Cross-Modal Retrieval Framework with Coarse-To-Fine Semantic Modeling. - Minghui Fang 002; Shengpeng Ji; Jialong Zuo; Hai Huang 013; Yan Xia 006; Jieming Zhu; Xize Cheng; Xiaoda Yang; Wenrui Liu 003; Gang Wang; Zhenhua Dong; Zhou Zhao 001 (CoRR, 2024)

Prompt Tuning as User Inherent Profile Inference Machine. - Yusheng Lu; Zhaocheng Du; Xiangyang Li; Xiangyu Zhao 001; Weiwen Liu; Yichao Wang 002; Huifeng Guo; Ruiming Tang; Zhenhua Dong; Yongrui Duan (CoRR, 2024)

MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants. - Zeyu Zhang 007; Quanyu Dai; Luyu Chen; Zeren Jiang; Rui Li 086; Jieming Zhu; Xu Chen 017; Yi Xie; Zhenhua Dong; Ji-Rong Wen (CoRR, 2024)

A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems. - Jun Yuan 008; Guohao Cai; Zhenhua Dong (CoRR, 2024)

RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models. - Zhuo Wu; Qinglin Jia; Chuhan Wu; Zhaocheng Du; Shuai Wang 020; Zan Wang; Zhenhua Dong (CoRR, 2024)

ChinaTravel: A Real-World Benchmark for Language Agents in Chinese Travel Planning. - Jie-Jing Shao; Xiao-Wen Yang; Bo-Wen Zhang; Baizhi Chen; Wen-Da Wei; Guohao Cai; Zhenhua Dong; Lan-Zhe Guo; Yu-feng Li (CoRR, 2024)

Syntactic-Informed Graph Networks for Sentence Matching. - Chen Xu 010; Jun Xu 001; Zhenhua Dong; Ji-Rong Wen (ACM Trans. Inf. Syst., 2024)

Explainable Legal Case Matching via Graph Optimal Transport. - Zhongxiang Sun; Weijie Yu 003; Zihua Si; Jun Xu 001; Zhenhua Dong; Xu Chen 017; Hongteng Xu; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2024)

Model-Agnostic Causal Embedding Learning for Counterfactually Group-Fair Recommendation. - Xiao Zhang 034; Teng Shi; Jun Xu 001; Zhenhua Dong; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2024)

AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization. - Xiao Zhang 034; Sunhao Dai; Jun Xu 001; Yong Liu 018; Zhenhua Dong (AAAI, 2025)

CART: A Generative Cross-Modal Retrieval Framework With Coarse-To-Fine Semantic Modeling. - Minghui Fang 002; Shengpeng Ji; Jialong Zuo; Hai Huang 013; Yan Xia 006; Jieming Zhu; Xize Cheng; Xiaoda Yang; Wenrui Liu 003; Gang Wang; Zhenhua Dong; Zhou Zhao 001 (ACL (1), 2025)

Enhancing Multimodal Unified Representations for Cross Modal Generalization. - Hai Huang 013; Yan Xia 006; Shengpeng Ji; Shulei Wang; Hanting Wang; Minghui Fang 002; Jieming Zhu; Zhenhua Dong; Sashuai Zhou; Zhou Zhao 001 (ACL (Findings), 2025)

Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent. - Xueyang Feng; Jingsen Zhang; Jiakai Tang; Wei Li; Guohao Cai; Xu Chen 017; Quanyu Dai; Yue Zhu; Zhenhua Dong (ACL (Findings), 2025)

MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents. - Haoran Tan; Zeyu Zhang 007; Chen Ma 001; Xu Chen 017; Quanyu Dai; Zhenhua Dong (ACL (Findings), 2025)

SocialEval: Evaluating Social Intelligence of Large Language Models. - Jinfeng Zhou; Yuxuan Chen; Yihan Shi; Xuanming Zhang; Leqi Lei; Yi Feng; Zexuan Xiong; Miao Yan; Xunzhi Wang; Yaru Cao; Jianing Yin; Shuai Wang; et al. (ACL (1), 2025)

Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. - Haoyu Wang; Sunhao Dai; Haiyuan Zhao; Liang Pang; Xiao Zhang 034; Gang Wang 056; Zhenhua Dong; Jun Xu 001; Ji-Rong Wen (ICLR, 2025)

Improving Retrospective Language Agents via Joint Policy Gradient Optimization. - Xueyang Feng; Bo Lan; Quanyu Dai; Lei Wang 198; Jiakai Tang; Xu Chen 017; Zhenhua Dong; Ji-Rong Wen (NAACL (Long Papers), 2025)

Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. - Yuqi Zhou 001; Sunhao Dai; Liang Pang; Gang Wang 056; Zhenhua Dong; Jun Xu 001; Ji-Rong Wen (SIGIR, 2025)

LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry. - Xiaopeng Ye; Chen Xu 010; Zhongxiang Sun; Jun Xu 001; Gang Wang 056; Zhenhua Dong; Ji-Rong Wen (SIGIR, 2025)

Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era. - Sunhao Dai; Chen Xu 010; Shicheng Xu; Liang Pang; Zhenhua Dong; Jun Xu 001 (WSDM, 2025)

RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems. - Luyu Chen; Quanyu Dai; Zeyu Zhang 007; Xueyang Feng; Mingyu Zhang; Pengcheng Tang; Xu Chen 017; Yue Zhu; Zhenhua Dong (WWW (Companion Volume), 2025)

MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising. - Quanyu Dai; Jiaren Xiao; Zhaocheng Du; Jieming Zhu; Chengxiao Luo; Xiao-Ming Wu 003; Zhenhua Dong (WWW, 2025)

EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration. - Minjie Hong; Yan Xia 006; Zehan Wang 001; Jieming Zhu; Ye Wang 018; Sihang Cai; Xiaoda Yang; Quanyu Dai; Zhenhua Dong; Zhimeng Zhang; Zhou Zhao 001 (WWW, 2025)

Few-shot LLM Synthetic Data with Distribution Matching. - Jiyuan Ren; Zhaocheng Du; Zhihao Wen; Qinglin Jia; Sunhao Dai; Chuhan Wu; Zhenhua Dong (WWW (Companion Volume), 2025)

A Contextual-Aware Position Encoding for Sequential Recommendation. - Jun Yuan 008; Guohao Cai; Zhenhua Dong (WWW (Companion Volume), 2025)

MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents. - Zeyu Zhang 007; Quanyu Dai; Xu Chen 017; Rui Li 086; Zhongyang Li; Zhenhua Dong (WWW (Companion Volume), 2025)

Evaluating Conversational Recommender Systems with Large Language Models: A User-Centric Evaluation Framework. - Nuo Chen 004; Quanyu Dai; Xiaoyu Dong; Xiao-Ming Wu 003; Zhenhua Dong (CoRR, 2025)

Progressive Collaborative and Semantic Knowledge Fusion for Generative Recommendation. - Longtao Xiao; Haozhao Wang; Cheng Wang 025; Linfei Ji; Yifan Wang; Jieming Zhu; Zhenhua Dong; Rui Zhang 003; Ruixuan Li 001 (CoRR, 2025)

CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry. - Xiaopeng Ye; Chen Xu 010; Zhongxiang Sun; Jun Xu 001; Gang Wang 056; Zhenhua Dong; Ji-Rong Wen (CoRR, 2025)

Inference Computation Scaling for Feature Augmentation in Recommendation Systems. - Weihao Liu; Zhaocheng Du; Haiyuan Zhao; Wenbo Zhang; Xiaoyan Zhao; Gang Wang 056; Zhenhua Dong; Jun Xu 001 (CoRR, 2025)

CHOP: Mobile Operating Assistant with Constrained High-frequency Optimized Subtask Planning. - Yuqi Zhou 001; Shuai Wang 020; Sunhao Dai; Qinglin Jia; Zhaocheng Du; Zhenhua Dong; Jun Xu 001 (CoRR, 2025)

Adapting Constrained Markov Decision Process for OCPC Bidding with Delayed Conversions. - Leping Zhang; Xiao Zhang 034; Yichao Wang 002; Xuan Li; Zhenhua Dong; Jun Xu 001 (ACM Trans. Inf. Syst., 2025)

Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems. - Xiaopeng Ye; Chen Xu 010; Jun Xu 001; Xuyang Xie; Gang Wang 056; Zhenhua Dong (CoRR, 2025)

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge. - Luyu Chen; Zeyu Zhang 007; Haoran Tan; Quanyu Dai; Hao Yang; Zhenhua Dong; Xu Chen 017 (CoRR, 2025)

KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing. - Rui Li 086; Quanyu Dai; Zeyu Zhang 007; Xu Chen 017; Zhenhua Dong; Ji-Rong Wen (CoRR, 2025)

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation. - Yifan Wang; Weinan Gan; Longtao Xiao; Jieming Zhu; Heng Chang; Haozhao Wang; Rui Zhang 003; Zhenhua Dong; Ruiming Tang; Ruixuan Li 001 (CoRR, 2025)

TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems. - Xianquan Wang; Zhaocheng Du; Jieming Zhu; Chuhan Wu; Qinglin Jia; Zhenhua Dong (CoRR, 2025)