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Weinan Zhang

Shanghai Jiao Tong University, John Hopcroft Center for Computer Science, China

90 papers at tracked venues · 69 at CORE A* · active 2024–2026

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Venues

NeurIPS ×17ACL ×16WWW ×9CIKM ×6SIGIR ×6SIGKDD ×6ICLR ×5AAAI ×4ICML ×4IROS ×3AAMAS ×2ECML-PKDD ×2EMNLP ×2RecSys ×2VLDB ×2ECAI ×1ICRA ×1IJCAI ×1WSDM ×1

Frequent coauthors

Yunjia Xi
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Jianghao Lin
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Yingxuan Yang
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Lingyue Fu
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Junjie Huang
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Liyuan Mao
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Jiarui Jin
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Kounianhua Du
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Qingyao Li
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Jizheng Chen
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Shutong Ding
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Weiji Xie
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Papers

  1. A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage
    ACL 2026 ·
    Congmin Zheng
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  2. A Survey of Large Language Model-Based Search Agents
    ACL 2026 ·
    Yunjia Xi
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  3. ACE-Router: Generalizing History-Aware Routing from MCP Tools to the Agent Web
    ACL 2026 ·
    Zhiyuan Yao
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  4. Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning
    ACL 2026 ·
    Zheng Wu
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  5. Attribution-Based Analysis and Optimization of Modular Agentic Workflows
    ACL 2026 ·
    Yingxuan Yang
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  6. ColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks
    WWW 2026 ·
    Yuanyi Song
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  7. ColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge Evolution
    ACL 2026 ·
    Jihong Wang
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  8. CoreCodeBench: Decoupling Code Intelligence via Fine-Grained Repository-Level Tasks
    ACL 2026 ·
    Lingyue Fu
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  9. LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls
    ACL 2026 ·
    Kangning Zhang
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  10. Modular Representation Compression: Adapting LLM Representations for Efficient and Effective Recommendation
    SIGIR 2026 ·
    Yunjia Xi
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  11. Offline Fictitious Self-Play for Competitive Games
    AAAI 2026 ·
    Jingxiao Chen
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  12. PADiff: Predictive and Adaptive Diffusion Policies for Ad Hoc Teamwork
    AAAI 2026 ·
    Hohei Chan
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  13. Progra: Progress-Aware Reinforcement Learning for Multi-Turn Function Calling
    ACL 2026 ·
    Huacan Chai
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  14. Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items
    SIGKDD 2026 ·
    Jianghao Lin
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  15. ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling
    ACL 2026 ·
    Jianghao Lin
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  16. Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems
    SIGIR 2025 ·
    Renting Rui
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  17. AdvKT: An Adversarial Multi-step Training Framework for Knowledge Tracing
    ECML-PKDD 2025 ·
    Lingyue Fu
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  18. AgentIR: 2nd Workshop on Agent-based Information Retrieval
    SIGIR 2025 ·
    Pengyue Jia
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  19. AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems
    NeurIPS 2025 ·
    Yingxuan Yang
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  20. An Automatic Graph Construction Framework based on Large Language Models for Recommendation
    SIGKDD 2025 ·
    Rong Shan
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  21. Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation
    AAAI 2025 ·
    Yiwei Shi
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  22. Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
    AAAI 2025 ·
    Junjie Huang
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  23. Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation
    ACL 2025 ·
    Kounianhua Du
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  24. Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models
    SIGKDD 2025 ·
    Yunjia Xi
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  25. CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation
    ACL 2025 ·
    Qingyao Li
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  26. ContraDiff: Planning Towards High Return States via Contrastive Learning
    ICLR 2025 ·
    Yixiang Shan
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  27. D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems
    WWW 2025 ·
    Jiarui Qin
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  28. DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation
    ACL 2025 ·
    Jizheng Chen
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  29. Diffusion Models for Recommender Systems: From Content Distribution To Content Creation
    SIGKDD 2025 ·
    Jianghao Lin
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  30. Diversity-Aware Self-Paced Data Selection for LLM Fine-Tuning
    ECAI 2025 ·
    Yingxuan Yang
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  31. DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models
    IROS 2025 ·
    Shenyu Zhang
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  32. Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
    SIGIR 2025 ·
    Yunjia Xi
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  33. Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition
    IJCAI 2025 ·
    Dongxie Wen
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  34. Flexible Realignment of Language Models
    NeurIPS 2025 ·
    Wenhong Zhu
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  35. GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning
    NeurIPS 2025 ·
    Shutong Ding
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  36. HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Assistant Scenarios
    ACL 2025 ·
    Jun Wang
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  37. Humanoid Whole-Body Locomotion on Narrow Terrain via Dynamic Balance and Reinforcement Learning
    IROS 2025 ·
    Weiji Xie
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  38. Information-Theoretic Reward Decomposition for Generalizable RLHF
    NeurIPS 2025 ·
    Liyuan Mao
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  39. KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills
    NeurIPS 2025 ·
    Weiji Xie
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  40. LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis
    CIKM 2025 ·
    Weiming Zhang
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  41. Large Language Models are Demonstration Pre-Selectors for Themselves
    ICML 2025 ·
    Jiarui Jin
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  42. Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration
    ACL 2025 ·
    Shao Zhang
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  43. LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged Robots
    IROS 2025 ·
    Peilin Wu
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  44. MobileUse: A Hierarchical Reflection-Driven GUI Agent for Autonomous Mobile Operation
    NeurIPS 2025 ·
    Ning Li
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  45. NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging
    EMNLP 2025 ·
    Weiming Zhang
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  46. ReMA: Learning to Meta-Think for LLMs with Multi-agent Reinforcement Learning
    NeurIPS 2025 ·
    Ziyu Wan
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  47. Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency
    ICLR 2025 ·
    Qifan Liang
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  48. RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation
    EMNLP 2025 ·
    Qingyao Li
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  49. Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning
    ACL 2025 ·
    Jiachen Zhu
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  50. Robust Function-Calling for On-Device Language Model via Function Masking
    ICLR 2025 ·
    Qiqiang Lin
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  51. Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
    ICML 2025 ·
    Mingyang Sun
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  52. Stop DDoS Attacking the Research Community with AI-Generated Survey Papers
    NeurIPS 2025 ·
    Jianghao Lin
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  53. ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning
    NeurIPS 2025 ·
    Shulin Huang
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  54. Uni-RL: Unifying Online and Offline RL via Implicit Value Regularization
    NeurIPS 2025 ·
    Haoran Xu
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  55. Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations
    WWW 2025 ·
    Junjie Huang
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  56. Unlocking the Potential of Decentralized LLM-based MAS: Privacy Preservation and Monetization in Collective Intelligence
    AAMAS 2025 ·
    Yingxuan Yang
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  57. Why Not Together? A Multiple-Round Recommender System for Queries and Items
    SIGKDD 2025 ·
    Jiarui Jin
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  58. World Model-Based Perception for Visual Legged Locomotion
    ICRA 2025 ·
    Hang Lai
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  59. 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
    NeurIPS 2024 ·
    Minjie Wang
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  60. 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
    VLDB 2024 ·
    Minjie Wang
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  61. AgentIR: 1st Workshop on Agent-based Information Retrieval
    SIGIR 2024 ·
    Qingpeng Cai
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  62. AlignRec: Aligning and Training in Multimodal Recommendations
    CIKM 2024 ·
    Yifan Liu
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  63. AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training
    ICML 2024 ·
    Ziyu Wan
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  64. Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: The Past, Present, and Future
    AAMAS 2024 ·
    Yan Song
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  65. CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models
    ECML-PKDD 2024 ·
    Longchao Da
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  66. ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
    WWW 2024 ·
    Jianghao Lin
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  67. DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching
    ICML 2024 ·
    Guanghe Li
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  68. Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
    NeurIPS 2024 ·
    Liyuan Mao
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  69. Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
    NeurIPS 2024 ·
    Shutong Ding
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  70. DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation
    SIGKDD 2024 ·
    Kounianhua Du
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  71. ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation
    CIKM 2024 ·
    Jizheng Chen
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  72. ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction
    CIKM 2024 ·
    Yanlin Zhang
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  73. FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction
    RecSys 2024 ·
    Hangyu Wang
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  74. GFS: Graph-based Feature Synthesis for Prediction over Relational Databases
    VLDB 2024 ·
    Han Zhang
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  75. HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning
    WWW 2024 ·
    Yifan Liu
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  76. InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization
    WWW 2024 ·
    Jiarui Jin
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  77. K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization
    WSDM 2024 ·
    Cheng Deng
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  78. Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training
    NeurIPS 2024 ·
    Haoran He
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  79. M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation
    WWW 2024 ·
    Jiachen Zhu
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  80. MADiff: Offline Multi-agent Learning with Diffusion Models
    NeurIPS 2024 ·
    Zhengbang Zhu
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  81. MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
    CIKM 2024 ·
    Yunjia Xi
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  82. ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update
    ICLR 2024 ·
    Liyuan Mao
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  83. ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
    WWW 2024 ·
    Jianghao Lin
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  84. Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data
    WWW 2024 ·
    Junjie Huang
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  85. Reinforcing LLM Agents via Policy Optimization with Action Decomposition
    NeurIPS 2024 ·
    Muning Wen
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  86. SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model
    CIKM 2024 ·
    Lingyue Fu
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  87. TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision
    SIGIR 2024 ·
    Ruiwen Zhou
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  88. Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models
    RecSys 2024 ·
    Yunjia Xi
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  89. Vision-Language Foundation Models as Effective Robot Imitators
    ICLR 2024 ·
    Xinghang Li
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  90. ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination
    NeurIPS 2024 ·
    Xihuai Wang
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