Zishun Yu

According to our database, Zishun Yu authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

Language Model Distillation: A Temporal Difference Imitation Learning Perspective.

Zishun Yu, Shangzhe Li, Xinhua Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Boosting LLM Reasoning via Spontaneous Self-Correction.

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

CoRR, June, 2025

Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization.

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

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

Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning.

Wenzhe Fan, Zishun Yu, Chengdong Ma, Changye Li, Yaodong Yang, Xinhua Zhang

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

2024

Offline Reward Perturbation Boosts Distributional Shift in Online RL.

Zishun Yu, Siteng Kang, Xinhua Zhang

Proceedings of the Uncertainty in Artificial Intelligence, 2024

B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis.

Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Slowly Changing Adversarial Bandit Algorithms are Efficient for Discounted MDPs.

Ian A. Kash, Lev Reyzin, Zishun Yu

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023

B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis.

Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang

CoRR, 2023

Actor-Critic Alignment for Offline-to-Online Reinforcement Learning.

Zishun Yu, Xinhua Zhang

Proceedings of the International Conference on Machine Learning, 2023

2022

Deep Reinforcement Learning With Graph Representation for Vehicle Repositioning.

Zishun Yu, Mengqi Hu

IEEE Trans. Intell. Transp. Syst., 2022

Slowly Changing Adversarial Bandit Algorithms are Provably Efficient for Discounted MDPs.

Ian A. Kash, Lev Reyzin, Zishun Yu

CoRR, 2022

Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound.

Hongwei Jin, Zishun Yu, Xinhua Zhang

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats.

Hongwei Jin, Zishun Yu, Xinhua Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022