PPaperPicks

Zongqing Lu

Peking University, Beijing, China

48 papers at tracked venues · 35 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-3967-2704 ↗Homepage ↗

Venues

ICLR ×11NeurIPS ×10ICML ×5ECCV ×4ICCV ×4AAAI ×3NAACL ×3AAMAS ×2ACL ×2UAI ×2EMNLP ×1IROS ×1

Frequent coauthors

Jiafei Lyu
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Haobin Jiang
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Wanpeng Zhang
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Bohan Zhou
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Haoqi Yuan
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Xiaopeng Yu
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Hao Luo
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Yicheng Feng
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Jiangxing Wang
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Kefan Su
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Sipeng Zheng
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Jiechuan Jiang
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Papers

  1. Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations
    AAAI 2026 ·
    Bohan Zhou
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  2. Best Possible Q-Learning
    UAI 2025 ·
    Jiechuan Jiang
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  3. Cradle: Empowering Foundation Agents towards General Computer Control
    ICML 2025 ·
    Weihao Tan
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  4. Creative Agents: Empowering Agents with Imagination for Creative Tasks
    UAI 2025 ·
    Penglin Cai
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  5. Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint
    ICLR 2025 ·
    Jiafei Lyu
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  6. Cross-Embodiment Dexterous Grasping with Reinforcement Learning
    ICLR 2025 ·
    Haoqi Yuan
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  7. Discrete Latent Plans via Semantic Skill Abstractions
    ICLR 2025 ·
    Haobin Jiang
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  8. Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping
    ICLR 2025 ·
    Ziye Huang
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  9. From Experts to a Generalist: Toward General Whole-Body Control for Humanoid Robots
    NeurIPS 2025 ·
    Yuxuan Wang
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  10. From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities
    ICLR 2025 ·
    Wanpeng Zhang
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  11. GAMEBoT: Transparent Assessment of LLM Reasoning in Games
    ACL 2025 ·
    Wenye Lin
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  12. GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-Based VLM Agent Training
    ICCV 2025 ·
    Tong Wei
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  13. LLM-Based Explicit Models of Opponents for Multi-Agent Games
    NAACL 2025 ·
    Xiaopeng Yu
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  14. Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer
    ICLR 2025 ·
    Hao Luo
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  15. MEgoHand: Multimodal Egocentric Hand-Object Interaction Motion Generation
    NeurIPS 2025 ·
    Bohan Zhou
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  16. MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents
    ICLR 2025 ·
    Junpeng Yue
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  17. MotionCtrl: A Real-Time Controllable Vision-Language-Motion Model
    ICCV 2025 ·
    Bin Cao
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  18. NOLO: Navigate Only Look Once
    IROS 2025 ·
    Bohan Zhou
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  19. OpenMMEgo: Enhancing Egocentric Understanding for LMMs with Open Weights and Data
    NeurIPS 2025 ·
    Hao Luo
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  20. Planning with Quantized Opponent Models
    NeurIPS 2025 ·
    Xiaopeng Yu
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  21. Revisiting Cooperative Off-Policy Multi-Agent Reinforcement Learning
    ICML 2025 ·
    Yueheng Li
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  22. Scaling Large Motion Models with Million-Level Human Motions
    ICML 2025 ·
    Ye Wang
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  23. Taking Notes Brings Focus? Towards Multi-Turn Multimodal Dialogue Learning
    EMNLP 2025 ·
    Jiazheng Liu
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  24. Unified Multimodal Understanding via Byte-Pair Visual Encoding
    ICCV 2025 ·
    Wanpeng Zhang
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  25. VideoOrion: Tokenizing Object Dynamics in Videos
    ICCV 2025 ·
    Yicheng Feng
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  26. Watch Less, Do More: Implicit Skill Discovery for Video-Conditioned Policy
    ICLR 2025 ·
    Jiangxing Wang
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  27. AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback
    NAACL 2024 ·
    Wanpeng Zhang
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  28. AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games
    NeurIPS 2024 ·
    Kefan Su
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  29. Cross-Domain Policy Adaptation by Capturing Representation Mismatch
    ICML 2024 ·
    Jiafei Lyu
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  30. LLaMA-Rider: Spurring Large Language Models to Explore the Open World
    NAACL 2024 ·
    Yicheng Feng
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  31. Language Model Adaption for Reinforcement Learning with Natural Language Action Space
    ACL 2024 ·
    Jiangxing Wang
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  32. Learning Multi-Object Positional Relationships via Emergent Communication
    AAAI 2024 ·
    Yicheng Feng
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  33. Multi-Agent Alternate Q-Learning
    AAMAS 2024 ·
    Kefan Su
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  34. Multi-Agent Coordination via Multi-Level Communication
    NeurIPS 2024 ·
    Gang Ding
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  35. ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
    NeurIPS 2024 ·
    Jiafei Lyu
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  36. Opponent Modeling based on Subgoal Inference
    NeurIPS 2024 ·
    Xiaopeng Yu
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  37. Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation
    NeurIPS 2024 ·
    Haoqi Yuan
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  38. Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning
    ICLR 2024 ·
    Haoqi Yuan
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  39. Pre-trained Visual Dynamics Representations for Efficient Policy Learning
    ECCV 2024 ·
    Hao Luo
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  40. RL-GPT: Integrating Reinforcement Learning and Code-as-policy
    NeurIPS 2024 ·
    Shaoteng Liu
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  41. Reinforcement Learning Friendly Vision-Language Model for Minecraft
    ECCV 2024 ·
    Haobin Jiang
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  42. SEABO: A Simple Search-Based Method for Offline Imitation Learning
    ICLR 2024 ·
    Jiafei Lyu
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  43. Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing
    AAAI 2024 ·
    Haobin Jiang
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  44. Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds
    ICLR 2024 ·
    Sipeng Zheng
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  45. Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation
    ICML 2024 ·
    Wanpeng Zhang
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  46. Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning
    AAMAS 2024 ·
    Jiafei Lyu
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  47. UniCode: Learning a Unified Codebook for Multimodal Large Language Models
    ECCV 2024 ·
    Sipeng Zheng
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  48. Visual Grounding for Object-Level Generalization in Reinforcement Learning
    ECCV 2024 ·
    Haobin Jiang
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