Yan Zheng

Venues

Frequent coauthors

Papers

1. AFE-Master: Enhancing LLM-Driven Autonomous Feature Engineering with Domain-Specific Language Parsing and Guided Local Search
   WWW 2026 ·

   Hebin Liang

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2. Key Decision-Makers in Multi-Agent Debates: Who Holds the Power?
   AAAI 2026 ·

   Qian Zhang

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3. COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space
   NeurIPS 2025 ·

   Pengyi Li

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4. DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering
   ACL 2025 ·

   Rong Cheng

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5. LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search
   NeurIPS 2025 ·

   Pengyi Li

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6. R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models
   ICML 2025 ·

   Pengyi Li

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7. RoboAnnotatorX: A Comprehensive and Universal Annotation Framework for Accurate Understanding of Long-Horizon Robot Demonstration
   ICCV 2025 ·

   Longxin Kou

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8. SheetAgent: Towards a Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models
   WWW 2025 ·

   Yibin Chen

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9. War of Thoughts: Competition Stimulates Stronger Reasoning in Large Language Models
   ACL 2025 ·

   Yibin Chen

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10. A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning
    AAMAS 2024 ·

    Jinyi Liu

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11. A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning
    AAAI 2024 ·

    Tianpei Yang

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12. AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
    ICLR 2024 ·

    Zibin Dong

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13. CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
    NeurIPS 2024 ·

    Zibin Dong

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14. DiffuserLite: Towards Real-time Diffusion Planning
    NeurIPS 2024 ·

    Zibin Dong

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15. ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
    AAMAS 2024 ·

    Kai Zhao

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16. ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
    IJCAI 2024 ·

    Kai Zhao

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17. EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search
    ICML 2024 ·

    Pengyi Li

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18. Generate Subgoal Images Before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts
    CVPR 2024 ·

    Fei Ni

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19. Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search
    UAI 2024 ·

    Jiashun Liu

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20. Improving Neural Logic Machines via Failure Reflection
    ICML 2024 ·

    Zhiming Li

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21. Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
    NeurIPS 2024 ·

    Yi Ma

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22. KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations
    ICML 2024 ·

    Longxin Kou

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23. Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces
    AAAI 2024 ·

    Xiaotian Hao

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24. OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments
    AAAI 2024 ·

    Jinyi Liu

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25. PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning
    AAMAS 2024 ·

    Hao Zhang

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26. PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation
    NeurIPS 2024 ·

    Fei Ni

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27. PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning
    AAAI 2024 ·

    Jizhou Wu

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28. The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies
    WWW 2024 ·

    Shiwei Zhao

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29. Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback
    ICLR 2024 ·

    Yifu Yuan

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30. Unlock the Intermittent Control Ability of Model Free Reinforcement Learning
    NeurIPS 2024 ·

    Jiashun Liu

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31. Value-Evolutionary-Based Reinforcement Learning
    ICML 2024 ·

    Pengyi Li

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