Zishun Yu

17 papers A* 6A 2B 1Journal 8
YearRankTypeTitle / Venue / Authors
2026 A* conf
Language Model Distillation: A Temporal Difference Imitation Learning Perspective.
AAAI
Zishun Yu, Shangzhe Li, Xinhua Zhang
2025 J jnl
Boosting LLM Reasoning via Spontaneous Self-Correction.
CoRR
Xutong Zhao, Tengyu Xu, Xuewei Wang, Zhengxing Chen, Di Jin, Liang Tan, Yen-Ting, Zishun Yu, Zhuokai Zhao, Yun He, Sinong Wang, Han Fang, Sarath Chandar, Chenguang Zhu
2025 J jnl
Language Model Distillation: A Temporal Difference Imitation Learning Perspective.
CoRR
Zishun Yu, Shangzhe Li, Xinhua Zhang
2025 A* conf
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization.
ICML
Zishun Yu, Tengyu Xu, Di Jin, Karthik Abinav Sankararaman, Yun He, Wenxuan Zhou, Zhouhao Zeng, Eryk Helenowski, Chen Zhu, Sinong Wang, Hao Ma, Han Fang
2025 J jnl
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization.
CoRR
Zishun Yu, Tengyu Xu, Di Jin, Karthik Abinav Sankararaman, Yun He, Wenxuan Zhou, Zhouhao Zeng, Eryk Helenowski, Chen Zhu, Sinong Wang, Hao Ma, Han Fang
2025 A* conf
Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning.
AAAI
Wenzhe Fan, Zishun Yu, Chengdong Ma, Changye Li, Yaodong Yang, Xinhua Zhang
2024 A* conf
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis.
ICLR
Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang
2024 A conf
Offline Reward Perturbation Boosts Distributional Shift in Online RL.
UAI
Zishun Yu, Siteng Kang, Xinhua Zhang
2024 B conf
Slowly Changing Adversarial Bandit Algorithms are Efficient for Discounted MDPs.
ALT
Ian A. Kash, Lev Reyzin, Zishun Yu
2024 J jnl
Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning.
CoRR
Wenzhe Fan, Zishun Yu, Chengdong Ma, Changye Li, Yaodong Yang, Xinhua Zhang
2023 A* conf
Actor-Critic Alignment for Offline-to-Online Reinforcement Learning.
ICML
Zishun Yu, Xinhua Zhang
2023 J jnl
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis.
CoRR
Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang
2022 A* conf
Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats.
NeurIPS
Hongwei Jin, Zishun Yu, Xinhua Zhang
2022 J jnl
Deep Reinforcement Learning With Graph Representation for Vehicle Repositioning.
IEEE Trans. Intell. Transp. Syst.
Zishun Yu, Mengqi Hu
2022 J jnl
Orthogonal Gromov-Wasserstein Discrepancy with Efficient Lower Bound.
CoRR
Hongwei Jin, Zishun Yu, Xinhua Zhang
2022 A conf
Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound.
UAI
Hongwei Jin, Zishun Yu, Xinhua Zhang
2022 J jnl
Slowly Changing Adversarial Bandit Algorithms are Provably Efficient for Discounted MDPs.
CoRR
Ian A. Kash, Lev Reyzin, Zishun Yu