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

Haoran He
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Jiashun Liu
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Pengyue Jia
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Kaixuan Jiang
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Yili Jin
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Ziqi Wang
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Taeyoung Yun
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Jiaxuan Jiang
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Qingpeng Cai
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Xinran Li
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Minsu Kim
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Elaine Lau
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Papers

  1. Pre-Trained Video Generative Models as World Simulators
    AAAI 2026 ·
    Haoran He
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  2. AgentIR: 2nd Workshop on Agent-based Information Retrieval
    SIGIR 2025 ·
    Pengyue Jia
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  3. Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering
    ICCV 2025 ·
    Kaixuan Jiang
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  4. Flow Factorization for Efficient Generative Flow Networks
    AAAI 2025 ·
    Jiashun Liu
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  5. Generative Flow Networks for Personalized Multimedia Systems: A Case Study on Short Video Feeds
    ACM MM 2025 ·
    Yili Jin
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  6. Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization
    NeurIPS 2025 ·
    Ziqi Wang
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  7. Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
    CVPR 2025 ·
    Taeyoung Yun
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  8. Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets
    ICLR 2025 ·
    Haoran He
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  9. Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning
    NeurIPS 2025 ·
    Jiashun Liu
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  10. Neuroplastic Expansion in Deep Reinforcement Learning
    ICLR 2025 ·
    Jiashun Liu
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  11. Random Policy Evaluation Uncovers Policies of Generative Flow Networks
    ICML 2025 ·
    Haoran He
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  12. Tackling Sparsity in Designated Driver Dispatch with Multi-Agent Reinforcement Learning
    AAMAS 2025 ·
    Jiaxuan Jiang
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  13. The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning
    ICML 2025 ·
    Jiashun Liu
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  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
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  16. Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning
    NeurIPS 2024 ·
    Xinran Li
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  17. Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training
    NeurIPS 2024 ·
    Haoran He
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  18. Learning to Scale Logits for Temperature-Conditional GFlowNets
    ICML 2024 ·
    Minsu Kim
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  19. Pre-Training and Fine-Tuning Generative Flow Networks
    ICLR 2024 · Ling Pan
  20. QGFN: Controllable Greediness with Action Values
    NeurIPS 2024 ·
    Elaine Lau
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  21. Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training
    NeurIPS 2024 ·
    Pihe Hu
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