PPaperPicks

Ling Pan

21 papers at tracked venues · 20 at CORE A* · active 2024–2026

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Venues

NeurIPS ×6AAAI ×3ICLR ×3ICML ×3SIGIR ×2AAMAS ×1ACM MM ×1CVPR ×1ICCV ×1

Frequent coauthors

Jiashun Liu
×5
Haoran He
×4
Qingpeng Cai
×4
Weinan Zhang
×3
Johan S. Obando-Ceron
×3
Aaron C. Courville
×3
Emmanuel Bengio
×3
Xiangyu Zhao
×2
Xin Xin
×2
Jin Huang
×2
Li Zhao
×2
Dawei Yin
×2

Papers

  1. Pre-Trained Video Generative Models as World Simulators
    AAAI 2026 ·
    Haoran He
    ,
    Yang Zhang
    ,
    Liang Lin
    ,
    Zhongwen Xu
    , Ling Pan
  2. AgentIR: 2nd Workshop on Agent-based Information Retrieval
    SIGIR 2025 ·
    Pengyue Jia
    ,
    Qingpeng Cai
    ,
    Xiangyu Zhao
    , Ling Pan,
    Xin Xin
    ,
    Jin Huang
    ,
    Weinan Zhang
    ,
    Li Zhao
    ,
    Dawei Yin
    ,
    Grace Hui Yang
  3. Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering
    ICCV 2025 ·
    Kaixuan Jiang
    ,
    Yang Liu
    ,
    Weixing Chen
    ,
    Jingzhou Luo
    ,
    Ziliang Chen
    , Ling Pan,
    Guanbin Li
    ,
    Liang Lin
  4. Flow Factorization for Efficient Generative Flow Networks
    AAAI 2025 ·
    Jiashun Liu
    ,
    Chunhui Li
    ,
    Cheng-Hao Liu
    ,
    Dianbo Liu
    ,
    Qingpeng Cai
    , Ling Pan
  5. Generative Flow Networks for Personalized Multimedia Systems: A Case Study on Short Video Feeds
    ACM MM 2025 ·
    Yili Jin
    , Ling Pan,
    Rui-Xiao Zhang
    ,
    Jiangchuan Liu
    ,
    Xue Liu
  6. Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization
    NeurIPS 2025 ·
    Ziqi Wang
    ,
    Jiashun Liu
    , Ling Pan
  7. Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
    CVPR 2025 ·
    Taeyoung Yun
    ,
    Dinghuai Zhang
    ,
    Jinkyoo Park
    , Ling Pan
  8. Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets
    ICLR 2025 ·
    Haoran He
    ,
    Can Chang
    ,
    Huazhe Xu
    , Ling Pan
  9. Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning
    NeurIPS 2025 ·
    Jiashun Liu
    ,
    Zihao Wu
    ,
    Johan S. Obando-Ceron
    ,
    Pablo Samuel Castro
    ,
    Aaron C. Courville
    , Ling Pan
  10. Neuroplastic Expansion in Deep Reinforcement Learning
    ICLR 2025 ·
    Jiashun Liu
    ,
    Johan S. Obando-Ceron
    ,
    Aaron C. Courville
    , Ling Pan
  11. Random Policy Evaluation Uncovers Policies of Generative Flow Networks
    ICML 2025 ·
    Haoran He
    ,
    Emmanuel Bengio
    ,
    Qingpeng Cai
    , Ling Pan
  12. Tackling Sparsity in Designated Driver Dispatch with Multi-Agent Reinforcement Learning
    AAMAS 2025 ·
    Jiaxuan Jiang
    , Ling Pan,
    Lin Zhou
    ,
    Longbo Huang
    ,
    Zhixuan Fang
  13. The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning
    ICML 2025 ·
    Jiashun Liu
    ,
    Johan S. Obando-Ceron
    ,
    Pablo Samuel Castro
    ,
    Aaron C. Courville
    , Ling Pan
  14. Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets
    AAAI 2025 · Ling Pan
  15. AgentIR: 1st Workshop on Agent-based Information Retrieval
    SIGIR 2024 ·
    Qingpeng Cai
    ,
    Xiangyu Zhao
    , Ling Pan,
    Xin Xin
    ,
    Jin Huang
    ,
    Weinan Zhang
    ,
    Li Zhao
    ,
    Dawei Yin
    ,
    Grace Hui Yang
  16. Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning
    NeurIPS 2024 ·
    Xinran Li
    , Ling Pan,
    Jun Zhang
  17. Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training
    NeurIPS 2024 ·
    Haoran He
    ,
    Chenjia Bai
    , Ling Pan,
    Weinan Zhang
    ,
    Bin Zhao
    ,
    Xuelong Li
  18. Learning to Scale Logits for Temperature-Conditional GFlowNets
    ICML 2024 ·
    Minsu Kim
    ,
    Joohwan Ko
    ,
    Taeyoung Yun
    ,
    Dinghuai Zhang
    , Ling Pan,
    Woochang Kim
    ,
    Jinkyoo Park
    ,
    Emmanuel Bengio
    ,
    Yoshua Bengio
  19. Pre-Training and Fine-Tuning Generative Flow Networks
    ICLR 2024 · Ling Pan,
    Moksh Jain
    ,
    Kanika Madan
    ,
    Yoshua Bengio
  20. QGFN: Controllable Greediness with Action Values
    NeurIPS 2024 ·
    Elaine Lau
    ,
    Stephen Zhewen Lu
    , Ling Pan,
    Doina Precup
    ,
    Emmanuel Bengio
  21. Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training
    NeurIPS 2024 ·
    Pihe Hu
    ,
    Shaolong Li
    ,
    Zhuoran Li
    , Ling Pan,
    Longbo Huang