Weizhi Ma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
69
Venues
14
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
69 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | TheraAgent: Self-Improving Therapeutic Agent for Precise and Comprehensive Treatment Planning. | Junkai Li, Yunghwei Lai, Tianyi Zhu, Zheng Long Lee, Weizhi Ma, Yang Liu |
| 2026 | ACL | UR² : Unify RAG and Reasoning through Reinforcement Learning. | Weitao Li, Boran Xiang, Xiaolong Wang, Jingyi Ren, Ante Wang, Zhinan Gou, Weizhi Ma, Yang Liu |
| 2026 | ACL | Beyond "I Don't Know": Evaluating LLM Self-Awareness in Discriminating Data and Model Uncertainty. | Jingyi Ren, Ante Wang, Yunghwei Lai, Xiaolong Wang, Linlu Gong, Weitao Li, Weizhi Ma, Yang Liu |
| 2025 | CIKM | StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning. | Yuanqing Yu, Zhefan Wang, Weizhi Ma, Shuai Wang, Chuhan Wu, Zhiqiang Guo, Min Zhang |
| 2025 | EMNLP | Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation. | Weitao Li, Xiangyu Zhang, Kaiming Liu, Xuanyu Lei, Weizhi Ma, Yang Liu |
| 2025 | EMNLP | How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison. | Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang |
| 2025 | KDD | Improving Long-tail User CTR Prediction via Hierarchical Distribution Alignment. | Yifan Wang, Weizhi Ma, Min Zhang, Xiaoxiao Xu, Zhiqiang Liu, Shaoping Ma |
| 2025 | WWW | Explainable Multi-Modality Alignment for Transferable Recommendation. | Shenghao Yang, Weizhi Ma, Zhiqiang Guo, Min Zhang, Haiyang Wu, Junjie Zhai, Chunhui Zhang, Yuekui Yang |
| 2025 | WWW | PerSRV: Personalized Sticker Retrieval with Vision-Language Model. | Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang |
| 2025 | WWW | Beyond Utility: Evaluating LLM as Recommender. | Chumeng Jiang, Jiayin Wang, Weizhi Ma, Charles L. A. Clarke, Shuai Wang, Chuhan Wu, Min Zhang |
| 2025 | WWW | WWW 2025 Workshop Chairs' Welcome. | Piotr Koniusz, Weizhi Ma |
| 2025 | SIGIR | 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 |
| 2025 | SIGIR | Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation. | Zhiyu He, Zhixin Ling, Jiayu Li, Zhiqiang Guo, Weizhi Ma, Xinchen Luo, Min Zhang, Guorui Zhou |
| 2025 | SIGIR | CD-CDR: Conditional Diffusion-based Item Generation for Cross-Domain Recommendation. | Hanyu Li, Jiayu Li, Weizhi Ma, Peijie Sun, Haiyang Wu, Jingwen Wang, Yuekui Yang, Min Zhang, Shaoping Ma |
| 2024 | AAAI | Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification. | Jimmy Lin, Junkai Li, Jiasi Gao, Weizhi Ma, Yang Liu |
| 2024 | ACL | Citation-Enhanced Generation for LLM-based Chatbots. | Weitao Li, Junkai Li, Weizhi Ma, Yang Liu |
| 2024 | CHIIR | SiTunes: A Situational Music Recommendation Dataset with Physiological and Psychological Signals. | Vadim Grigorev, Jiayu Li, Weizhi Ma, Zhiyu He, Min Zhang, Yiqun Liu, Ming Yan, Ji Zhang |
| 2024 | CIKM | Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information. | Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Weizhi Ma, Jiaxin Mao |
| 2024 | DASFAA | A Situation-aware Enhancer for Personalized Recommendation. | Jiayu Li, Peijie Sun, Chumeng Jiang, Weizhi Ma, Qingyao Ai, Min Zhang |
| 2024 | DASFAA | To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models. | Zhefan Wang, Weizhi Ma, Min Zhang |
| 2024 | DASFAA | Common Sense Enhanced Knowledge-based Recommendation with Large Language Model. | Shenghao Yang, Weizhi Ma, Peijie Sun, Min Zhang, Qingyao Ai, Yiqun Liu, Mingchen Cai |
| 2024 | EMNLP | A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models. | Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie |
| 2024 | KDD | Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering. | Yihong Wu, Le Zhang, Fengran Mo, Tianyu Zhu, Weizhi Ma, Jian-Yun Nie |
| 2024 | RecSys | ReChorus2.0: A Modular and Task-Flexible Recommendation Library. | Jiayu Li, Hanyu Li, Zhiyu He, Weizhi Ma, Peijie Sun, Min Zhang, Shaoping Ma |
| 2024 | RecSys | Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery. | Jiayu Li, Aixin Sun, Weizhi Ma, Peijie Sun, Min Zhang |
| 2024 | RecSys | Large Language Models as Evaluators for Recommendation Explanations. | Xiaoyu Zhang, Yishan Li, Jiayin Wang, Bowen Sun, Weizhi Ma, Peijie Sun, Min Zhang |
| 2024 | WWW | Intersectional Two-sided Fairness in Recommendation. | Yifan Wang, Peijie Sun, Weizhi Ma, Min Zhang, Yuan Zhang, Peng Jiang, Shaoping Ma |
| 2024 | SIGIR | Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation. | Hanyu Li, Weizhi Ma, Peijie Sun, Jiayu Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, Shaoping Ma |
| 2024 | SIGIR | MACRec: A Multi-Agent Collaboration Framework for Recommendation. | Zhefan Wang, Yuanqing Yu, Wendi Zheng, Weizhi Ma, Min Zhang |
| 2024 | SIGIR | Sequential Recommendation with Latent Relations based on Large Language Model. | Shenghao Yang, Weizhi Ma, Peijie Sun, Qingyao Ai, Yiqun Liu, Mingchen Cai, Min Zhang |
| 2024 | SIGIR | EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems. | Yuanqing Yu, Chongming Gao, Jiawei Chen, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang |
| 2023 | ICDM | Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation. | Shenghao Yang, Chenyang Wang, Yankai Liu, Kangping Xu, Weizhi Ma, Yiqun Liu, Min Zhang, Haitao Zeng, Junlan Feng, Chao Deng |
| 2023 | RecSys | Two-sided Calibration for Quality-aware Responsible Recommendation. | Chenyang Wang, Yankai Liu, Yuanqing Yu, Weizhi Ma, Min Zhang, Yiqun Liu, Haitao Zeng, Junlan Feng, Chao Deng |
| 2023 | SIGIR | Intent-aware Ranking Ensemble for Personalized Recommendation. | Jiayu Li, Peijie Sun, Zhefan Wang, Weizhi Ma, Yangkun Li, Min Zhang, Zhoutian Feng, Daiyue Xue |
| 2023 | SIGIR | Measuring Item Global Residual Value for Fair Recommendation. | Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang |
| 2022 | CIKM | PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction. | Yuancheng Sun, Yimeng Chen, Weizhi Ma, Wenhao Huang, Kang Liu, Zhiming Ma, Wei-Ying Ma, Yanyan Lan |
| 2022 | CIKM | Global and Local Feature Interaction with Vision Transformer for Few-shot Image Classification. | Mingze Sun, Weizhi Ma, Yang Liu |
| 2022 | CIKM | Target Interest Distillation for Multi-Interest Recommendation. | Chenyang Wang, Zhefan Wang, Yankai Liu, Yang Ge, Weizhi Ma, Min Zhang, Yiqun Liu, Junlan Feng, Chao Deng, Shaoping Ma |
| 2022 | KDD | Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution. | Jiayin Wang, Weizhi Ma, Jiayu Li, Hongyu Lu, Min Zhang, Biao Li, Yiqun Liu, Peng Jiang, Shaoping Ma |
| 2022 | KDD | Towards Representation Alignment and Uniformity in Collaborative Filtering. | Chenyang Wang, Yuanqing Yu, Weizhi Ma, Min Zhang, Chong Chen, Yiqun Liu, Shaoping Ma |
| 2022 | WSDM | A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation. | Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Zhijing Wu, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He |
| 2021 | AAAI | Graph Heterogeneous Multi-Relational Recommendation. | Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu, Shaoping Ma |
| 2021 | CIKM | Incorporating Query Reformulating Behavior into Web Search Evaluation. | Jia Chen, Yiqun Liu, Jiaxin Mao, Fan Zhang, Tetsuya Sakai, Weizhi Ma, Min Zhang, Shaoping Ma |
| 2021 | CIKM | WG4Rec: Modeling Textual Content with Word Graph for News Recommendation. | Shaoyun Shi, Weizhi Ma, Zhen Wang, Min Zhang, Kun Fang, Jingfang Xu, Yiqun Liu, Shaoping Ma |
| 2021 | KDD | A Difficulty-Aware Framework for Churn Prediction and Intervention in Games. | Jiayu Li, Hongyu Lu, Chenyang Wang, Weizhi Ma, Min Zhang, Xiangyu Zhao, Wei Qi, Yiqun Liu, Shaoping Ma |
| 2021 | PAKDD | Diversify or Not: Dynamic Diversification for Personalized Recommendation. | Bin Hao, Min Zhang, Cheng Guo, Weizhi Ma, Yiqun Liu, Shaoping Ma |
| 2021 | WWW | Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation. | Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He |
| 2021 | SIGIR | Privacy-Aware Remote Information Retrieval User Experiments Logging Tool. | Hanyu Li, Hongyu Lu, Songhao Huang, Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma |
| 2021 | SIGIR | Investigating Session Search Behavior with Knowledge Graphs. | Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, Shaoping Ma |
| 2021 | SIGIR | Standing in Your Shoes: External Assessments for Personalized Recommender Systems. | Hongyu Lu, Weizhi Ma, Min Zhang, Maarten de Rijke, Yiqun Liu, Shaoping Ma |
| 2021 | WSDM | Temporal Cross-Effects in Knowledge Tracing. | Chenyang Wang, Weizhi Ma, Min Zhang, Chuancheng Lv, Fengyuan Wan, Huijie Lin, Taoran Tang, Yiqun Liu, Shaoping Ma |
| 2020 | AAAI | Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation. | Chong Chen, Min Zhang, Yongfeng Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma |
| 2020 | CIKM | Learning Better Representations for Neural Information Retrieval with Graph Information. | Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, Shaoping Ma |
| 2020 | CIKM | Neural Logic Reasoning. | Shaoyun Shi, Hanxiong Chen, Weizhi Ma, Jiaxin Mao, Min Zhang, Yongfeng Zhang |
| 2020 | IJCAI | BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval. | Yunqiu Shao, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Ken Satoh, Min Zhang, Shaoping Ma |
| 2020 | WWW | Efficient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation. | Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma |
| 2020 | SIGIR | Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation. | Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma |
| 2020 | SIGIR | Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation. | Shaoyun Shi, Weizhi Ma, Min Zhang, Yongfeng Zhang, Xinxing Yu, Houzhi Shan, Yiqun Liu, Shaoping Ma |
| 2020 | SIGIR | Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation. | Chenyang Wang, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma |
| 2020 | SIGIR | Cascade or Recency: Constructing Better Evaluation Metrics for Session Search. | Fan Zhang, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Min Zhang, Shaoping Ma |
| 2020 | SIGIR | Models Versus Satisfaction: Towards a Better Understanding of Evaluation Metrics. | Fan Zhang, Jiaxin Mao, Yiqun Liu, Xiaohui Xie, Weizhi Ma, Min Zhang, Shaoping Ma |
| 2019 | WWW | Quality Effects on User Preferences and Behaviorsin Mobile News Streaming. | Hongyu Lu, Min Zhang, Weizhi Ma, Yunqiu Shao, Yiqun Liu, Shaoping Ma |
| 2019 | WWW | Jointly Learning Explainable Rules for Recommendation with Knowledge Graph. | Weizhi Ma, Min Zhang, Yue Cao, Woojeong Jin, Chenyang Wang, Yiqun Liu, Shaoping Ma, Xiang Ren |
| 2019 | WWW | Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems. | Chenyang Wang, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma |
| 2019 | SIGIR | An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation. | Chong Chen, Min Zhang, Chenyang Wang, Weizhi Ma, Minming Li, Yiqun Liu, Shaoping Ma |
| 2019 | SIGIR | Effects of User Negative Experience in Mobile News Streaming. | Hongyu Lu, Min Zhang, Weizhi Ma, Ce Wang, Feng Xia, Yiqun Liu, Leyu Lin, Shaoping Ma |
| 2018 | IJCAI | Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation. | Weizhi Ma, Min Zhang, Chenyang Wang, Cheng Luo, Yiqun Liu, Shaoping Ma |
| 2017 | CIKM | A Two-step Information Accumulation Strategy for Learning from Highly Imbalanced Data. | Bin Liu, Min Zhang, Weizhi Ma, Xin Li, Yiqun Liu, Shaoping Ma |
| 2016 | IJCAI | Multi-Grained Role Labeling Based on Multi-Modality Information for Real Customer Service Telephone Conversation. | Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma |