Jiashun Liu

Venues

Frequent coauthors

Papers

1. CE-RM: A Pointwise Generative Reward Model Optimized via Two-Stage Rollout and Unified Criteria
   ACL 2026 ·

   Xinyu Hu

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2. Flow Factorization for Efficient Generative Flow Networks
   AAAI 2025 · Jiashun Liu
3. Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization
   NeurIPS 2025 ·

   Ziqi Wang

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4. Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning
   NeurIPS 2025 · Jiashun Liu
5. Neuroplastic Expansion in Deep Reinforcement Learning
   ICLR 2025 · Jiashun Liu
6. The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning
   ICML 2025 · Jiashun Liu
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

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8. Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search
   UAI 2024 · Jiashun Liu
9. Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation
   ICML 2024 · Jiashun Liu
10. Unlock the Intermittent Control Ability of Model Free Reinforcement Learning
    NeurIPS 2024 · Jiashun Liu