Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond. - Hengquan Guo; Xin Liu 049; Honghao Wei; Lei Ying 001 (NeurIPS, 2022)

Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints. - Hengquan Guo; Qi Zhu; Xin Liu 049 (CoRR, 2022)

Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints. - Hengquan Guo; Zhu Qi; Xin Liu 049 (L4DC, 2023)

POBO: Safe and optimal resource management for cloud microservices. - Hengquan Guo; Hongchen Cao; Jingzhu He; Xin Liu 049; Yuanming Shi (Perform. Evaluation, 2023)

Learning to Schedule Online Tasks with Bandit Feedback. - Yongxin Xu; Shangshang Wang; Hengquan Guo; Xin Liu 049; Ziyu Shao (AAMAS, 2024)

Stochastic Constrained Contextual Bandits via Lyapunov Optimization Based Estimation to Decision Framework. - Hengquan Guo; Xin Liu (COLT, 2024)

QueueFlower: Orchestrating Microservice Workflows via Dynamic Queue Balancing. - Hongchen Cao; Xinrui Liu; Hengquan Guo; Jingzhu He; Xin Liu (ICWS, 2024)

Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization. - Xiyue Peng; Hengquan Guo; Jiawei Zhang; Dongqing Zou; Ziyu Shao; Honghao Wei; Xin Liu 049 (CoRR, 2024)

On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime. - Hengquan Guo; Xin Liu (ICLR, 2025)