Jiashun Liu

According to our database, Jiashun Liu authored at least 19 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Rank and Gradient Lost in Non-stationarity: Sample Weight Decay for Mitigating Plasticity Loss in Reinforcement Learning.

Zihao Wu, Hongyao Tang, Yi Ma, Jiashun Liu, Yan Zheng, Jianye Hao

CoRR, April, 2026

Complementary Reinforcement Learning.

Dilxat Muhtar, Jiashun Liu, Wei Gao, Weixun Wang, Shaopan Xiong, Ju Huang, Siran Yang, Wenbo Su, Jiamang Wang, Ling Pan, Bo Zheng

CoRR, March, 2026

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

Xinyu Hu, Yancheng He, Weixun Wang, Tao Feng, Li Lin, Jiashun Liu, Wenbo Su, Bo Zheng, Xiaojun Wan

CoRR, January, 2026

2025

Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization.

Yang Li, Zhichen Dong, Yuhan Sun, Weixun Wang, Shaopan Xiong, Yijia Luo, Jiashun Liu, Han Lu, Jiamang Wang, Wenbo Su, Bo Zheng, Junchi Yan

CoRR, October, 2025

Part II: ROLL Flash - Accelerating RLVR and Agentic Training with Asynchrony.

Han Lu, Zichen Liu, Shaopan Xiong, Yancheng He, Wei Gao, Yanan Wu, Weixun Wang, Jiashun Liu, Yang Li, Haizhou Zhao, Ju Huang, Siran Yang, Xiaoyang Li, Yijia Luo, Zihe Liu, Ling Pan, Junchi Yan, Wei Wang, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng

CoRR, October, 2025

Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning.

Jiashun Liu, Johan S. Obando-Ceron, Han Lu, Yancheng He, Weixun Wang, Wenbo Su, Bo Zheng, Pablo Samuel Castro, Aaron C. Courville, Ling Pan

CoRR, October, 2025

Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning.

Zihe Liu, Jiashun Liu, Yancheng He, Weixun Wang, Jiaheng Liu, Ling Pan, Xinyu Hu, Shaopan Xiong, Ju Huang, Jian Hu, Shengyi Huang, Siran Yang, Jiamang Wang, Wenbo Su, Bo Zheng

CoRR, August, 2025

Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization.

Ziqi Wang, Jiashun Liu, Ling Pan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning.

Jiashun Liu, Zihao Wu, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Ling Pan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning.

Jiashun Liu, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Ling Pan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Neuroplastic Expansion in Deep Reinforcement Learning.

Jiashun Liu, Johan S. Obando-Ceron, Aaron C. Courville, Ling Pan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Flow Factorization for Efficient Generative Flow Networks.

Jiashun Liu, Chunhui Li, Cheng-Hao Liu, Dianbo Liu, Qingpeng Cai, Ling Pan

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search.

Jiashun Liu, Xiaotian Hao, Jianye Hao, Yan Zheng, Yujing Hu, Changjie Fan, Tangjie Lv, Zhipeng Hu

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Unlock the Intermittent Control Ability of Model Free Reinforcement Learning.

Jiashun Liu, Jianye Hao, Xiaotian Hao, Yi Ma, Yan Zheng, Yujing Hu, Tangjie Lv

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation.

Jiashun Liu, Jianye Hao, Yi Ma, Shuyin Xia

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Generate Subgoal Images Before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts.

Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Jiashun Liu, Yan Zheng, Bin Wang, Yuzheng Zhuang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

Scientific Paper Classification Based on Graph Neural Network with Hypergraph Self-attention Mechanism.

Jiashun Liu, Zhe Xue, Ang Li

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2016

Real-Time Test System for Electro-Hydraulic Proportional Control Loop of Automatic Transmission.

Jiaming Zhong, Gang Tao, Jiashun Liu

Proceedings of the 2016 International Conference on Cybernetics, Robotics and Control, 2016

2010

Uniform User Interface Design for PC and TV Convergence Environment in GridMedia+ IPTV Platform.

Jiashun Liu, Li Zhao

Proceedings of the 7th IEEE Consumer Communications and Networking Conference, 2010