Spatial-temporal routing for supporting end-to-end hard deadlines in multi-hop networks. - Xin Liu 049; Lei Ying 001 (CISS, 2016)

Fluid-Model-Based Car Routing for Modern Ridesharing Systems. - Anton Braverman; Jim G. Dai; Xin Liu 049; Lei Ying 001 (SIGMETRICS (Abstracts), 2017)

A Simple Steady-State Analysis of Load Balancing Algorithms in the Sub-Halfin-Whitt Regime. - Xin Liu 049; Lei Ying 001 (SIGMETRICS Perform. Evaluation Rev., 2018)

Empty-Car Routing in Ridesharing Systems. - Anton Braverman; Jim G. Dai; Xin Liu 049; Lei Ying 001 (Oper. Res., 2019)

Spatial-temporal routing for supporting end-to-end hard deadlines in multi-hop networks. - Xin Liu 049; Weichang Wang; Lei Ying 001 (Perform. Evaluation, 2019)

On Achieving Zero Delay with Power-of-d-Choices Load Balancing. - Xin Liu 049; Lei Ying 001 (IEEE Trans. Netw. Sci. Eng., 2019)

POND: Pessimistic-Optimistic oNline Dispatch. - Xin Liu 049; Bin Li 014; Pengyi Shi; Lei Ying 001 (CoRR, 2020)

Steady-state analysis of load-balancing algorithms in the sub-Halfin-Whitt regime. - Xin Liu 049; Lei Ying 001 (J. Appl. Probab., 2020)

Beyond Scaling: Calculable Error Bounds of the Power-of-Two-Choices Mean-Field Model in Heavy-Traffic. - Hairi; Xin Liu 049; Lei Ying 001 (MobiHoc, 2021)

An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints. - Xin Liu 049; Bin Li 014; Pengyi Shi; Lei Ying 001 (NeurIPS, 2021)

An Efficient Pessimistic-Optimistic Algorithm for Constrained Linear Bandits. - Xin Liu 049; Bin Li 014; Pengyi Shi; Lei Ying 001 (CoRR, 2021)

A Provably-Efficient Model-Free Algorithm for Constrained Markov Decision Processes. - Honghao Wei; Xin Liu 049; Lei Ying 001 (CoRR, 2021)

Wireless scheduling with deadline and power constraints. - Yiqiu Liu; Xin Liu 049; Lei Ying 001; R. Srikant 001 (Perform. Evaluation, 2021)

A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes. - Honghao Wei; Xin Liu 049; Lei Ying 001 (AAAI, 2022)

Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation. - Honghao Wei; Xin Liu 049; Lei Ying 001 (AISTATS, 2022)

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)

Large-System Insensitivity of Zero-Waiting Load Balancing Algorithms. - Xin Liu 049; Kang Gong; Lei Ying 001 (SIGMETRICS (Abstracts), 2022)

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

Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems. - Xin Liu 049; Honghao Wei; Lei Ying 001 (CoRR, 2022)

A Constrained Bandit Approach for Online Dispatching. - Xin Liu 049; Bin Li 014; Pengyi Shi; Lei Ying 001 (SIGMETRICS Perform. Evaluation Rev., 2022)

Universal Scaling of Distributed Queues Under Load Balancing in the Super-Halfin-Whitt Regime. - Xin Liu 049; Lei Ying 001 (IEEE/ACM Trans. Netw., 2022)

Federated Linear Bandit Learning via Over-the-air Computation. - Jiali Wang; Yuning Jiang 002; Xin Liu 049; Ting Wang 001; Yuanming Shi (GLOBECOM, 2023)

Online Nonstochastic Control with Adversarial and Static Constraints. - Xin Liu 049; Zixian Yang; Lei Ying 001 (ICML, 2023)

Neural Constrained Combinatorial Bandits. - Shangshang Wang; Simeng Bian; Xin Liu 049; Ziyu Shao (INFOCOM, 2023)

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

Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks. - Honghao Wei; Xin Liu 049; Weina Wang 001; Lei Ying 001 (NeurIPS, 2023)

Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks. - Junkai Qian; Yuning Jiang 002; Xin Liu 049; Qing Wang; Ting Wang 001; Yuanming Shi; Wei Chen 002 (CoRR, 2023)

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

Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration. - Honghao Wei; Xin Liu 049; Lei Ying 001 (AAAI, 2024)

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

Optimistic Joint Flow Control and Link Scheduling with Unknown Utility Functions. - Xin Liu 049; Honghao Wei; Lei Ying 001 (MobiHoc, 2024)

Microservice Deployment for Satellite Edge AI Inference via Deep Reinforcement Learning. - Zhiyong Yu; Hei Victor Cheng; Zhanpeng Yang; Xin Liu 049; Yuning Jiang 002; Yong Zhou 006; Yuanming Shi (PIMRC, 2024)

Latency-Aware Microservice Deployment for Edge AI Enabled Video Analytics. - Zhanpeng Yang; Zhiyong Yu; Xin Liu 049; Dingzhu Wen; Yong Zhou 006; Yuanming Shi (WCNC, 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)

Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment. - Zixian Yang; Xin Liu 049; Lei Ying 001 (J. Mach. Learn. Res., 2024)

Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks. - Junkai Qian; Yuning Jiang 002; Xin Liu 049; Qiong Wang; Ting Wang 001; Yuanming Shi; Wei Chen 002 (IEEE Internet Things J., 2024)

A Reinforcement Learning and Prediction-Based Lookahead Policy for Vehicle Repositioning in Online Ride-Hailing Systems. - Honghao Wei; Zixian Yang; Xin Liu 049; Zhiwei (Tony) Qin; Xiaocheng Tang; Lei Ying 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Microservice Migration in Hybrid Satellite-Terrestrial Networks for Autonomous Vehicles. - Xin Long; Yuning Jiang 002; Zixin Wang; Xin Liu 049; Yuanming Shi; Yong Zhou 006 (J. Commun. Inf. Networks, 2025)

Microservice Deployment in Space Computing Power Networks via Robust Reinforcement Learning. - Zhiyong Yu; Yuning Jiang 002; Xin Liu 049; Yuanming Shi; Chunxiao Jiang; Linling Kuang (CoRR, 2025)