Beyond Your Interests: Exploring the Information Behind User Tags. - Weizhi Ma; Min Zhang 006; Yiqun Liu 001; Shaoping Ma; Lingfeng Chen (NLPCC, 2015)

Multi-Grained Role Labeling Based on Multi-Modality Information for Real Customer Service Telephone Conversation. - Weizhi Ma; Min Zhang 006; Yiqun Liu 001; Shaoping Ma (IJCAI, 2016)

Finding the True Crowds: User Filtering in Microblogs. - Bin Hao; Min Zhang 006; Weizhi Ma; Jiashen Sun; Yiqun Liu 001; Shaoping Ma; Xuan Zhu 006; Hengliang Luo (NLPCC/ICCPOL, 2016)

A Two-step Information Accumulation Strategy for Learning from Highly Imbalanced Data. - Bin Liu 072; Min Zhang 006; Weizhi Ma; Xin Li 016; Yiqun Liu 001; Shaoping Ma (CIKM, 2017)

Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation. - Weizhi Ma; Min Zhang 006; Chenyang Wang 003; Cheng Luo 001; Yiqun Liu 001; Shaoping Ma (IJCAI, 2018)

Stance Influences Your Thoughts: Psychology-Inspired Social Media Analytics. - Weizhi Ma; Zhen Wang 040; Min Zhang 006; Jing Qian; Huanbo Luan; Yiqun Liu 001; Shaoping Ma (NLPCC (1), 2019)

An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation. - Chong Chen 001; Min Zhang 006; Chenyang Wang 003; Weizhi Ma; Minming Li; Yiqun Liu 001; Shaoping Ma (SIGIR, 2019)

Effects of User Negative Experience in Mobile News Streaming. - Hongyu Lu; Min Zhang 006; Weizhi Ma; Ce Wang; Feng Xia 006; Yiqun Liu 001; Leyu Lin; Shaoping Ma (SIGIR, 2019)

Quality Effects on User Preferences and Behaviorsin Mobile News Streaming. - Hongyu Lu; Min Zhang 006; Weizhi Ma; Yunqiu Shao; Yiqun Liu 001; Shaoping Ma (WWW, 2019)

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph. - Weizhi Ma; Min Zhang 006; Yue Cao; Woojeong Jin 001; Chenyang Wang 003; Yiqun Liu 001; Shaoping Ma; Xiang Ren 001 (WWW, 2019)

Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems. - Chenyang Wang 003; Min Zhang 006; Weizhi Ma; Yiqun Liu 001; Shaoping Ma (WWW, 2019)

Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation. - Chong Chen 001; Min Zhang 006; Yongfeng Zhang; Weizhi Ma; Yiqun Liu 001; Shaoping Ma (AAAI, 2020)

Learning Better Representations for Neural Information Retrieval with Graph Information. - Xiangsheng Li; Maarten de Rijke; Yiqun Liu 001; Jiaxin Mao; Weizhi Ma; Min Zhang 006; Shaoping Ma (CIKM, 2020)

Neural Logic Reasoning. - Shaoyun Shi; Hanxiong Chen; Weizhi Ma; Jiaxin Mao; Min Zhang 006; Yongfeng Zhang (CIKM, 2020)

BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval. - Yunqiu Shao; Jiaxin Mao; Yiqun Liu 001; Weizhi Ma; Ken Satoh; Min Zhang 006; Shaoping Ma (IJCAI, 2020)

A Multi-level Interactive Lifelog Search Engine with User Feedback. - Jiayu Li 001; Min Zhang 006; Weizhi Ma; Yiqun Liu 001; Shaoping Ma (LSC@ICMR, 2020)

Negative Feedback Aware Hybrid Sequential Neural Recommendation Model. - Bin Hao; Min Zhang 006; Weizhi Ma; Shaoyun Shi; Xinxing Yu; Houzhi Shan; Yiqun Liu 001; Shaoping Ma (NLPCC (2), 2020)

Incorporating Knowledge and Content Information to Boost News Recommendation. - Zhen Wang 040; Weizhi Ma; Min Zhang 006; Weipeng Chen; Jingfang Xu; Yiqun Liu 001; Shaoping Ma (NLPCC (1), 2020)

THUIR at the NTCIR-15 Micro-activity Retrieval Task. - Jiayu Li 001; Ziyi Ye; Weizhi Ma; Min Zhang 006; Yiqun Liu 001; Shaoping Ma (NTCIR, 2020)

Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation. - Chong Chen 001; Min Zhang 006; Weizhi Ma; Yiqun Liu 001; Shaoping Ma (SIGIR, 2020)

Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation. - Shaoyun Shi; Weizhi Ma; Min Zhang 006; Yongfeng Zhang; Xinxing Yu; Houzhi Shan; Yiqun Liu 001; Shaoping Ma (SIGIR, 2020)

Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation. - Chenyang Wang 003; Min Zhang 006; Weizhi Ma; Yiqun Liu 001; Shaoping Ma (SIGIR, 2020)

Cascade or Recency: Constructing Better Evaluation Metrics for Session Search. - Fan Zhang 053; Jiaxin Mao; Yiqun Liu 001; Weizhi Ma; Min Zhang 006; Shaoping Ma (SIGIR, 2020)

Models Versus Satisfaction: Towards a Better Understanding of Evaluation Metrics. - Fan Zhang 053; Jiaxin Mao; Yiqun Liu 001; Xiaohui Xie; Weizhi Ma; Min Zhang 006; Shaoping Ma (SIGIR, 2020)

Efficient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation. - Chong Chen 001; Min Zhang 006; Weizhi Ma; Yiqun Liu 001; Shaoping Ma (WWW, 2020)

Graph Heterogeneous Multi-Relational Recommendation. - Chong Chen 001; Weizhi Ma; Min Zhang 006; Zhaowei Wang 002; Xiuqiang He 001; Chenyang Wang 003; Yiqun Liu 001; Shaoping Ma (AAAI, 2021)

Modelling Dynamic Item Complementarity with Graph Neural Network for Recommendation. - Yingwai Shiu; Weizhi Ma; Min Zhang 006; Yiqun Liu 001; Shaoping Ma (CCIR, 2021)

Incorporating Query Reformulating Behavior into Web Search Evaluation. - Jia Chen 003; Yiqun Liu 001; Jiaxin Mao; Fan Zhang 053; Tetsuya Sakai; Weizhi Ma; Min Zhang 006; Shaoping Ma (CIKM, 2021)

WG4Rec: Modeling Textual Content with Word Graph for News Recommendation. - Shaoyun Shi; Weizhi Ma; Zhen Wang 040; Min Zhang 006; Kun Fang; Jingfang Xu; Yiqun Liu 001; Shaoping Ma (CIKM, 2021)

A Difficulty-Aware Framework for Churn Prediction and Intervention in Games. - Jiayu Li 001; Hongyu Lu; Chenyang Wang 003; Weizhi Ma; Min Zhang 006; Xiangyu Zhao; Wei Qi; Yiqun Liu 001; Shaoping Ma (KDD, 2021)

Diversify or Not: Dynamic Diversification for Personalized Recommendation. - Bin Hao; Min Zhang 006; Cheng Guo; Weizhi Ma; Yiqun Liu 001; Shaoping Ma (PAKDD (2), 2021)

Privacy-Aware Remote Information Retrieval User Experiments Logging Tool. - Hanyu Li; Hongyu Lu; Songhao Huang; Weizhi Ma; Min Zhang 006; Yiqun Liu 001; Shaoping Ma (SIGIR, 2021)

Investigating Session Search Behavior with Knowledge Graphs. - Xiangsheng Li; Maarten de Rijke; Yiqun Liu 001; Jiaxin Mao; Weizhi Ma; Min Zhang 006; Shaoping Ma (SIGIR, 2021)

Standing in Your Shoes: External Assessments for Personalized Recommender Systems. - Hongyu Lu; Weizhi Ma; Min Zhang 006; Maarten de Rijke; Yiqun Liu 001; Shaoping Ma (SIGIR, 2021)

Temporal Cross-Effects in Knowledge Tracing. - Chenyang Wang 003; Weizhi Ma; Min Zhang 006; Chuancheng Lv; Fengyuan Wan; Huijie Lin; Taoran Tang; Yiqun Liu 001; Shaoping Ma (WSDM, 2021)

Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation. - Xiangsheng Li; Jiaxin Mao; Weizhi Ma; Yiqun Liu 001; Min Zhang 006; Shaoping Ma; Zhaowei Wang 002; Xiuqiang He 001 (WWW, 2021)

A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-Sharing. - Bin Hao; Min Zhang 006; Weizhi Ma; Shaoyun Shi; Xinxing Yu; Houzhi Shan; Yiqun Liu 001; Shaoping Ma (CoRR, 2021)

Know Yourself: Physical and Psychological Self-Awareness With Lifelog. - Jiayu Li 001; Weizhi Ma; Min Zhang 006; Pengyu Wang; Yiqun Liu 001; Shaoping Ma (Frontiers Digit. Health, 2021)

A Hybrid Framework for Session Context Modeling. - Jia Chen 003; Jiaxin Mao; Yiqun Liu 001; Ziyi Ye; Weizhi Ma; Chao Wang 049; Min Zhang 006; Shaoping Ma (ACM Trans. Inf. Syst., 2021)

Toward Dynamic User Intention: Temporal Evolutionary Effects of Item Relations in Sequential Recommendation. - Chenyang Wang 003; Weizhi Ma; Min Zhang 006; Chong Chen 001; Yiqun Liu 001; Shaoping Ma (ACM Trans. Inf. Syst., 2021)

PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction. - Yuancheng Sun; Yimeng Chen; Weizhi Ma; Wenhao Huang 001; Kang Liu 001; Zhiming Ma; Wei-Ying Ma; Yanyan Lan (CIKM, 2022)

Global and Local Feature Interaction with Vision Transformer for Few-shot Image Classification. - Mingze Sun; Weizhi Ma; Yang Liu 005 (CIKM, 2022)

Target Interest Distillation for Multi-Interest Recommendation. - Chenyang Wang 003; Zhefan Wang; Yankai Liu; Yang Ge; Weizhi Ma; Min Zhang 006; Yiqun Liu 001; Junlan Feng; Chao Deng 004; Shaoping Ma (CIKM, 2022)

Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution. - Jiayin Wang; Weizhi Ma; Jiayu Li 001; Hongyu Lu; Min Zhang 006; Biao Li; Yiqun Liu 001; Peng Jiang 002; Shaoping Ma (KDD, 2022)

Towards Representation Alignment and Uniformity in Collaborative Filtering. - Chenyang Wang 003; Yuanqing Yu; Weizhi Ma; Min Zhang 006; Chong Chen 001; Yiqun Liu 001; Shaoping Ma (KDD, 2022)

A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation. - Xiangsheng Li; Jiaxin Mao; Weizhi Ma; Zhijing Wu 001; Yiqun Liu 001; Min Zhang 006; Shaoping Ma; Zhaowei Wang 002; Xiuqiang He 001 (WSDM, 2022)

Contextualized Fairness for Recommender Systems in Premium Scenarios. - Yangkun Li; Mohamed-Laid Hedia; Weizhi Ma; Hongyu Lu; Min Zhang 006; Yiqun Liu 001; Shaoping Ma (Big Data Res., 2022)

LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation. - Jun Yang; Weizhi Ma; Min Zhang 006; Xin Zhou; Yiqun Liu 001; Shaoping Ma (ACM Trans. Inf. Syst., 2022)

Research on Real-time Early Warning Mechanism of Aviation Safety Based on Finite State Machine Underlying in QAR Stream Data. - Tianhao Li; Yujia Zheng; Haoan Zhang; Weizhi Ma; Ying Li 039 (BDIOT, 2023)

Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation. - Shenghao Yang 004; Chenyang Wang 003; Yankai Liu; Kangping Xu; Weizhi Ma; Yiqun Liu 001; Min Zhang 006; Haitao Zeng; Junlan Feng; Chao Deng 004 (ICDM, 2023)

Two-sided Calibration for Quality-aware Responsible Recommendation. - Chenyang Wang 003; Yankai Liu; Yuanqing Yu; Weizhi Ma; Min Zhang 006; Yiqun Liu 001; Haitao Zeng; Junlan Feng; Chao Deng 004 (RecSys, 2023)

Intent-aware Ranking Ensemble for Personalized Recommendation. - Jiayu Li 001; Peijie Sun; Zhefan Wang; Weizhi Ma; Yangkun Li; Min Zhang 006; Zhoutian Feng; Daiyue Xue (SIGIR, 2023)

Measuring Item Global Residual Value for Fair Recommendation. - Jiayin Wang; Weizhi Ma; Chumeng Jiang; Min Zhang 006; Yuan Zhang 024; Biao Li; Peng Jiang 002 (SIGIR, 2023)

A Survey on the Fairness of Recommender Systems. - Yifan Wang 017; Weizhi Ma; Min Zhang 006; Yiqun Liu 001; Shaoping Ma (ACM Trans. Inf. Syst., 2023)

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. - Qingyao Ai; Ting Bai; Zhao Cao; Yi Chang 001; Jiawei Chen 007; Zhumin Chen; Zhiyong Cheng 001; Shoubin Dong; Zhicheng Dou; Fuli Feng; Shen Gao; Jiafeng Guo; et al. (AI Open, 2023)

Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation. - Chong Chen 001; Weizhi Ma; Min Zhang 006; Chenyang Wang 003; Yiqun Liu 001; Shaoping Ma (ACM Trans. Inf. Syst., 2023)

Sequential Recommendation with Multiple Contrast Signals. - Chenyang Wang 003; Weizhi Ma; Chong Chen 001; Min Zhang 006; Yiqun Liu 001; Shaoping Ma (ACM Trans. Inf. Syst., 2023)

User Behavior Simulation for Search Result Re-ranking. - Junqi Zhang; Yiqun Liu 001; Jiaxin Mao; Weizhi Ma; Jiazheng Xu; Shaoping Ma; Qi Tian 001 (ACM Trans. Inf. Syst., 2023)

User Perception of Recommendation Explanation: Are Your Explanations What Users Need? - Hongyu Lu; Weizhi Ma; Yifan Wang 017; Min Zhang 006; Xiang Wang 010; Yiqun Liu 001; Tat-Seng Chua; Shaoping Ma (ACM Trans. Inf. Syst., 2023)

A Survey on Dropout Methods and Experimental Verification in Recommendation. - Yangkun Li; Weizhi Ma; Chong Chen 001; Min Zhang 006; Yiqun Liu 001; Shaoping Ma; Yuekui Yang (IEEE Trans. Knowl. Data Eng., 2023)

Dataset for MTS4WaterR: Predicting Gate Operation in Open Canal Control with Multi-Task Sequential Model. - Shiyuan Guo; Weizhi Ma; Zhigang Yang; Jinlong Liu; Zhongjing Wang; Min Zhang (IEEE DataPort, 2023)

Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification. - Jimmy Lin; Junkai Li; Jiasi Gao; Weizhi Ma; Yang Liu (AAAI, 2024)

Citation-Enhanced Generation for LLM-based Chatbots. - Weitao Li; Junkai Li; Weizhi Ma; Yang Liu (ACL (1), 2024)

SiTunes: A Situational Music Recommendation Dataset with Physiological and Psychological Signals. - Vadim Grigorev; Jiayu Li 001; Weizhi Ma; Zhiyu He; Min Zhang 006; Yiqun Liu 001; Ming Yan 008; Ji Zhang 011 (CHIIR, 2024)

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information. - Yurou Zhao; Yiding Sun; Ruidong Han; Fei Jiang 009; Lu Guan; Xiang Li 067; Wei Lin 022; Weizhi Ma; Jiaxin Mao (CIKM, 2024)

A Situation-aware Enhancer for Personalized Recommendation. - Jiayu Li 001; Peijie Sun; Chumeng Jiang; Weizhi Ma; Qingyao Ai; Min Zhang 006 (DASFAA (3), 2024)

To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models. - Zhefan Wang; Weizhi Ma; Min Zhang 006 (DASFAA (5), 2024)

Common Sense Enhanced Knowledge-based Recommendation with Large Language Model. - Shenghao Yang 004; Weizhi Ma; Peijie Sun; Min Zhang 006; Qingyao Ai; Yiqun Liu 001; Mingchen Cai (DASFAA (5), 2024)

A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models. - Jiayin Wang; Fengran Mo; Weizhi Ma; Peijie Sun; Min Zhang 006; Jian-Yun Nie (EMNLP, 2024)

Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering. - Yihong Wu; Le Zhang 012; Fengran Mo; Tianyu Zhu; Weizhi Ma; Jian-Yun Nie (KDD, 2024)

ReChorus2.0: A Modular and Task-Flexible Recommendation Library. - Jiayu Li 001; Hanyu Li; Zhiyu He; Weizhi Ma; Peijie Sun; Min Zhang 006; Shaoping Ma (RecSys, 2024)

Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery. - Jiayu Li 001; Aixin Sun; Weizhi Ma; Peijie Sun; Min Zhang 006 (RecSys, 2024)

Large Language Models as Evaluators for Recommendation Explanations. - Xiaoyu Zhang 018; Yishan Li; Jiayin Wang; Bowen Sun; Weizhi Ma; Peijie Sun; Min Zhang 006 (RecSys, 2024)

R3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation. - Zihan Wang 002; Xuri Ge; Joemon M. Jose; Haitao Yu 003; Weizhi Ma; Zhaochun Ren; Xin Xin 003 (SIGIR-AP, 2024)

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation. - Hanyu Li; Weizhi Ma; Peijie Sun; Jiayu Li 001; Cunxiang Yin; Yancheng He; Guoqiang Xu; Min Zhang 006; Shaoping Ma (SIGIR, 2024)

MACRec: A Multi-Agent Collaboration Framework for Recommendation. - Zhefan Wang; Yuanqing Yu; Wendi Zheng; Weizhi Ma; Min Zhang 006 (SIGIR, 2024)

Sequential Recommendation with Latent Relations based on Large Language Model. - Shenghao Yang 004; Weizhi Ma; Peijie Sun; Qingyao Ai; Yiqun Liu 001; Mingchen Cai; Min Zhang 006 (SIGIR, 2024)

EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems. - Yuanqing Yu; Chongming Gao; Jiawei Chen 007; Heng Tang; Yuefeng Sun; Qian Chen; Weizhi Ma; Min Zhang 006 (SIGIR, 2024)

Intersectional Two-sided Fairness in Recommendation. - Yifan Wang 017; Peijie Sun; Weizhi Ma; Min Zhang 006; Yuan Zhang 024; Peng Jiang 002; Shaoping Ma (WWW, 2024)

DSRP: A Database for Stress Reduction Using Physiological Signals. - Zhengping Li; Weizhi Ma; Junshuai Zhang; Ying Li 039; Lijun Wang; Yuwen Hao; Xiaoxue Li (IEEE Access, 2024)

Understanding User Experience in Large Language Model Interactions. - Jiayin Wang; Weizhi Ma; Peijie Sun; Min Zhang 006; Jian-Yun Nie (CoRR, 2024)

Recommender for Its Purpose: Repeat and Exploration in Food Delivery Recommendations. - Jiayu Li 001; Aixin Sun; Weizhi Ma; Peijie Sun; Min Zhang 006 (CoRR, 2024)

EasyRL4Rec: A User-Friendly Code Library for Reinforcement Learning Based Recommender Systems. - Yuanqing Yu; Chongming Gao; Jiawei Chen 007; Heng Tang; Yuefeng Sun; Qian Chen; Weizhi Ma; Min Zhang 006 (CoRR, 2024)

Multi-Agent Collaboration Framework for Recommender Systems. - Zhefan Wang; Yuanqing Yu; Wendi Zheng; Weizhi Ma; Min Zhang 006 (CoRR, 2024)

A User-Centric Benchmark for Evaluating Large Language Models. - Jiayin Wang; Fengran Mo; Weizhi Ma; Peijie Sun; Min Zhang 006; Jian-Yun Nie (CoRR, 2024)

Introducing EEG Analyses to Help Personal Music Preference Prediction. - Zhiyu He; Jiayu Li 001; Weizhi Ma; Min Zhang 006; Yiqun Liu 001; Shaoping Ma (CoRR, 2024)

Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents. - Junkai Li; Siyu Wang; Meng Zhang; Weitao Li; Yunghwei Lai; Xinhui Kang; Weizhi Ma; Yang Liu (CoRR, 2024)

StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs. - Yuanqing Yu; Zhefan Wang; Weizhi Ma; Zhicheng Guo; Jingtao Zhan; Shuai Wang 020; Chuhan Wu; Zhiqiang Guo; Min Zhang 006 (CoRR, 2024)

Long Term Memory: The Foundation of AI Self-Evolution. - Xun Jiang; Feng Li; Han Zhao; Jiaying Wang; Jun Shao; Shihao Xu; Shu Zhang; Weiling Chen; Xavier Tang; Yize Chen; Mengyue Wu; Weizhi Ma; et al. (CoRR, 2024)

R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation. - Zihan Wang 002; Xuri Ge; Joemon M. Jose; Haitao Yu 003; Weizhi Ma; Zhaochun Ren; Xin Xin 003 (CoRR, 2024)

PerSRV: Personalized Sticker Retrieval with Vision-Language Model. - Heng Er Metilda Chee; Jiayin Wang; Zhiqiang Guo; Weizhi Ma; Min Zhang (CoRR, 2024)

Interpret the Internal States of Recommendation Model with Sparse Autoencoder. - Jiayin Wang; Xiaoyu Zhang 018; Weizhi Ma; Min Zhang 006 (CoRR, 2024)

A survey on gait recognition against occlusion: taxonomy, dataset and methodology. - Tianhao Li; Weizhi Ma; Yujia Zheng; Xinchao Fan; Guangcan Yang; Lijun Wang; Zhengping Li (PeerJ Comput. Sci., 2024)

A comprehensive review of deep learning in EEG-based emotion recognition: classifications, trends, and practical implications. - Weizhi Ma; Yujia Zheng; Tianhao Li; Zhengping Li; Ying Li; Lijun Wang (PeerJ Comput. Sci., 2024)

U-Sticker: A Large-Scale Multi-Domain User Sticker Dataset for Retrieval and Personalization. - Heng Er Metilda Chee; Jiayin Wang; Zhiqiang Guo; Weizhi Ma; Qinglang Guo; Min Zhang 006 (SIGIR, 2025)

Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation. - Zhiyu He; Zhixin Ling; Jiayu Li 001; Zhiqiang Guo; Weizhi Ma; Xinchen Luo; Min Zhang 006; Guorui Zhou (SIGIR, 2025)

CD-CDR: Conditional Diffusion-based Item Generation for Cross-Domain Recommendation. - Hanyu Li; Jiayu Li 001; Weizhi Ma; Peijie Sun; Haiyang Wu; Jingwen Wang; Yuekui Yang; Min Zhang 006; Shaoping Ma (SIGIR, 2025)

Explainable Multi-Modality Alignment for Transferable Recommendation. - Shenghao Yang 004; Weizhi Ma; Zhiqiang Guo; Min Zhang 006; Haiyang Wu; Junjie Zhai; Chunhui Zhang; Yuekui Yang (WWW, 2025)

PerSRV: Personalized Sticker Retrieval with Vision-Language Model. - Heng Er Metilda Chee; Jiayin Wang; Zhiqiang Guo; Weizhi Ma; Min Zhang 006 (WWW, 2025)

Beyond Utility: Evaluating LLM as Recommender. - Chumeng Jiang; Jiayin Wang; Weizhi Ma; Charles L. A. Clarke; Shuai Wang 020; Chuhan Wu; Min Zhang 006 (WWW, 2025)

WWW 2025 Workshop Chairs' Welcome. - Piotr Koniusz; Weizhi Ma (WWW (Companion Volume), 2025)

SFSWTS: A spatial-frequency shifted windows and time self-attention network for EEG emotion recognition. - Weizhi Ma; Ying Li 039; Tianhao Li; Haowei Yang; Zhengping Li; Lijun Wang; Junyu Xuan (Neurocomputing, 2025)

Feature-Enhanced Neural Collaborative Reasoning for Explainable Recommendation. - Xiaoyu Zhang 018; Shaoyun Shi; Yishan Li; Weizhi Ma; Peijie Sun; Min Zhang 006 (ACM Trans. Inf. Syst., 2025)

A 106K Multi-Topic Multilingual Conversational User Dataset with Emoticons. - Heng Er Metilda Chee; Jiayin Wang; Zhiqiang Guo; Weizhi Ma; Qinglang Guo; Min Zhang (CoRR, 2025)

Predicting Gate Operation in Open Canal Control With Multitask Sequential Model. - Shiyuan Guo; Weizhi Ma; Zhigang Yang; Jinlong Liu; Zhongjing Wang; Min Zhang 006 (IEEE Trans. Ind. Informatics, 2025)

Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation. - Weitao Li; Kaiming Liu; Xiangyu Zhang; Xuanyu Lei; Weizhi Ma; Yang Liu (CoRR, 2025)

Effective and Transparent RAG: Adaptive-Reward Reinforcement Learning for Decision Traceability. - Jingyi Ren; Yekun Xu; Xiaolong Wang; Weitao Li; Weizhi Ma; Yang Liu (CoRR, 2025)

Small Stickers, Big Meanings: A Multilingual Sticker Semantic Understanding Dataset with a Gamified Approach. - Heng Er Metilda Chee; Jiayin Wang; Zhiqiang Guo; Weizhi Ma; Min Zhang (CoRR, 2025)

StoryBench: A Dynamic Benchmark for Evaluating Long-Term Memory with Multi Turns. - Luanbo Wan; Weizhi Ma (CoRR, 2025)

How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison. - Jiayin Wang; Zhiquang Guo; Weizhi Ma; Min Zhang (CoRR, 2025)

Are Recommenders Self-Aware? Label-Free Recommendation Performance Estimation via Model Uncertainty. - Jiayu Li 001; Ziyi Ye; Guohao Jian; Zhiqiang Guo; Weizhi Ma; Qingyao Ai; Min Zhang 006 (CoRR, 2025)

Why Generate When You Can Transform? Unleashing Generative Attention for Dynamic Recommendation. - Yuli Liu; Wenjun Kong; Cheng Luo; Weizhi Ma (CoRR, 2025)

UR2: Unify RAG and Reasoning through Reinforcement Learning. - Weitao Li; Boran Xiang; Xiaolong Wang; Zhinan Gou; Weizhi Ma; Yang Liu (CoRR, 2025)