PPaperPicks

Jiashun Liu

10 papers at tracked venues · 9 at CORE A* · active 2024–2026

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Venues

NeurIPS ×3ICML ×2AAAI ×1ACL ×1CVPR ×1ICLR ×1UAI ×1

Frequent coauthors

Ling Pan
×5
Jianye Hao
×4
Johan S. Obando-Ceron
×3
Aaron C. Courville
×3
Yan Zheng
×3
Pablo Samuel Castro
×2
Xiaotian Hao
×2
Yujing Hu
×2
Tangjie Lv
×2
Yi Ma
×2
Xinyu Hu
×1
Yancheng He
×1

Papers

  1. CE-RM: A Pointwise Generative Reward Model Optimized via Two-Stage Rollout and Unified Criteria
    ACL 2026 ·
    Xinyu Hu
    ,
    Yancheng He
    ,
    Weixun Wang
    ,
    Tao Feng
    ,
    Li Lin
    , Jiashun Liu,
    Wenbo Su
    ,
    Bo Zheng
    ,
    Xiaojun Wan
  2. Flow Factorization for Efficient Generative Flow Networks
    AAAI 2025 · Jiashun Liu,
    Chunhui Li
    ,
    Cheng-Hao Liu
    ,
    Dianbo Liu
    ,
    Qingpeng Cai
    ,
    Ling Pan
  3. Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization
    NeurIPS 2025 ·
    Ziqi Wang
    , Jiashun Liu,
    Ling Pan
  4. 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
  5. Neuroplastic Expansion in Deep Reinforcement Learning
    ICLR 2025 · Jiashun Liu,
    Johan S. Obando-Ceron
    ,
    Aaron C. Courville
    ,
    Ling Pan
  6. 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
  7. Generate Subgoal Images Before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts
    CVPR 2024 ·
    Fei Ni
    ,
    Jianye Hao
    ,
    Shiguang Wu
    ,
    Longxin Kou
    , Jiashun Liu,
    Yan Zheng
    ,
    Bin Wang
    ,
    Yuzheng Zhuang
  8. Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search
    UAI 2024 · Jiashun Liu,
    Xiaotian Hao
    ,
    Jianye Hao
    ,
    Yan Zheng
    ,
    Yujing Hu
    ,
    Changjie Fan
    ,
    Tangjie Lv
    ,
    Zhipeng Hu
  9. Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation
    ICML 2024 · Jiashun Liu,
    Jianye Hao
    ,
    Yi Ma
    ,
    Shuyin Xia
  10. Unlock the Intermittent Control Ability of Model Free Reinforcement Learning
    NeurIPS 2024 · Jiashun Liu,
    Jianye Hao
    ,
    Xiaotian Hao
    ,
    Yi Ma
    ,
    Yan Zheng
    ,
    Yujing Hu
    ,
    Tangjie Lv