Hengquan Guo

According to our database, Hengquan Guo authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

2025

Safe Learning in Stochastic Continuum-Armed Bandit With Constraints and Its Application to Network Resource Management.

Hengquan Guo, Qi Zhu, Xin Liu

IEEE Trans. Netw., 2025

On the Power of Optimism in Constrained Online Convex Optimization.

Haobo Zhang, Hengquan Guo, Xin Liu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks.

Yongxin Xu, Hengquan Guo, Ziyu Shao, Xin Liu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime.

Hengquan Guo, Xin Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

POBO: Safe and Optimal Resource Management for Cloud Microservices.

Hengquan Guo, Hongchen Cao, Jingzhu He, Xin Liu, Yuanming Shi

SIGMETRICS Perform. Evaluation Rev., February, 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

CoRR, 2024

QueueFlower: Orchestrating Microservice Workflows via Dynamic Queue Balancing.

Hongchen Cao, Xinrui Liu, Hengquan Guo, Jingzhu He, Xin Liu

Proceedings of the IEEE International Conference on Web Services, 2024

Stochastic Constrained Contextual Bandits via Lyapunov Optimization Based Estimation to Decision Framework.

Hengquan Guo, Xin Liu

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

Learning to Schedule Online Tasks with Bandit Feedback.

Yongxin Xu, Shangshang Wang, Hengquan Guo, Xin Liu, Ziyu Shao

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints.

Hengquan Guo, Zhu Qi, Xin Liu

Proceedings of the Learning for Dynamics and Control Conference, 2023

2022

Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints.

Hengquan Guo, Qi Zhu, Xin Liu

CoRR, 2022

Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond.

Hengquan Guo, Xin Liu, Honghao Wei, Lei Ying

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