Hengquan Guo

16 papers A* 6A 2Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
BLOCK: An Open-Source Bi-Stage MLLM Character-to-Skin Pipeline for Minecraft.
CoRR
Hengquan Guo
2025 A* conf
No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks.
IJCAI
Yongxin Xu, Hengquan Guo, Ziyu Shao, Xin Liu
2025 A* conf
On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime.
ICLR
Hengquan Guo, Xin Liu
2025 A* conf
On the Power of Optimism in Constrained Online Convex Optimization.
IJCAI
Haobo Zhang, Hengquan Guo, Xin Liu
2025 J jnl
Safe Learning in Stochastic Continuum-Armed Bandit With Constraints and Its Application to Network Resource Management.
IEEE Trans. Netw.
Hengquan Guo, Qi Zhu, Xin Liu
2025 A* conf
Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints.
ICML
Hengquan Guo, Lingkai Zu, Xin Liu
2024 J jnl
Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization.
CoRR
Xiyue Peng, Hengquan Guo, Jiawei Zhang, Dongqing Zou, Ziyu Shao, Honghao Wei, Xin Liu
2024 A conf
Learning to Schedule Online Tasks with Bandit Feedback.
AAMAS
Yongxin Xu, Shangshang Wang, Hengquan Guo, Xin Liu, Ziyu Shao
2024 J jnl
Learning to Schedule Online Tasks with Bandit Feedback.
CoRR
Yongxin Xu, Shangshang Wang, Hengquan Guo, Xin Liu, Ziyu Shao
2024 J jnl
POBO: Safe and Optimal Resource Management for Cloud Microservices.
SIGMETRICS Perform. Evaluation Rev.
Hengquan Guo, Hongchen Cao, Jingzhu He, Xin Liu, Yuanming Shi
2024 A conf
QueueFlower: Orchestrating Microservice Workflows via Dynamic Queue Balancing.
ICWS
Hongchen Cao, Xinrui Liu, Hengquan Guo, Jingzhu He, Xin Liu
2024 A* conf
Stochastic Constrained Contextual Bandits via Lyapunov Optimization Based Estimation to Decision Framework.
COLT
Hengquan Guo, Xin Liu
2023 J jnl
POBO: Safe and optimal resource management for cloud microservices.
Perform. Evaluation
Hengquan Guo, Hongchen Cao, Jingzhu He, Xin Liu, Yuanming Shi
2023 — conf
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints.
L4DC
Hengquan Guo, Zhu Qi, Xin Liu
2022 A* conf
Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond.
NeurIPS
Hengquan Guo, Xin Liu, Honghao Wei, Lei Ying
2022 J jnl
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints.
CoRR
Hengquan Guo, Qi Zhu, Xin Liu