Finite-Time Queue Peak Laws in Stochastic Networks: Logarithmic Scaling After Geometric Thresholds
Preprint, 2026
This paper is about queueing analysis in stochastic network
Recommended citation: Hao Liang, Cheng Tang, Yunzong Xu.
Preprint, 2026
This paper is about queueing analysis in stochastic network
Recommended citation: Hao Liang, Cheng Tang, Yunzong Xu.
Published on ACL Findings, 2026
This paper is about applying RL methods on medical report generation
Recommended citation: Weijie Liang, Xiyue Zhu, Ruike Zhu, Chenhao Li, Cheng Tang, Zhiyu Liu, Zhihua Gong, Shirui Luo, Yudu Li, Volodymyr Kindratenko.
Published on ICML, Neurips MLΓOR Workshop, 2025
This paper is about offline robust reinforcement learning under function approximation
Recommended citation: Cheng Tang, Zhishuai Liu and Pan Xu. Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization. arXiv preprint 2411.18612, 2024.
Download Paper | Download Slides
Project done in CMU, 2024
This paper is about offline safe reinforcement learning.