Xin Liu

According to our database, Xin Liu authored at least 54 papers between 2014 and 2025.

Collaborative distances:

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

2025

An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints.

Jiahui Zhu, Kihyun Yu, Dabeen Lee, Xin Liu, Honghao Wei

CoRR, May, 2025

Microservice Deployment in Space Computing Power Networks via Robust Reinforcement Learning.

Zhiyong Yu, Yuning Jiang, Xin Liu, Yuanming Shi, Chunxiao Jiang, Linling Kuang

CoRR, January, 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

Microservice Migration in Hybrid Satellite-Terrestrial Networks for Autonomous Vehicles.

Xin Long, Yuning Jiang, Zixin Wang, Xin Liu, Yuanming Shi, Yong Zhou

J. Commun. Inf. Networks, 2025

Energy-Efficient Paging for Duty-Cycled LTE Backscatter.

Yunyun Feng, Xin Liu, Jia Zhao, Yuan Ding, Gongpu Wang, Wei Gong

Proceedings of the IEEE INFOCOM 2025, 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

SAI: Latency-Aware Satellite Edge LAM Inference with Looped Transformer.

Honggang Yuan, Zixin Wang, Yuning Jiang, Xin Liu, Yuanming Shi, Ting Wang

Proceedings of the IEEE International Conference on Communications, 2025

On Preference-based Stochastic Linear Contextual Bandits with Knapsacks.

Xin Liu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

A Reinforcement Learning and Prediction-Based Lookahead Policy for Vehicle Repositioning in Online Ride-Hailing Systems.

Honghao Wei, Zixian Yang, Xin Liu, Zhiwei (Tony) Qin, Xiaocheng Tang, Lei Ying

IEEE Trans. Intell. Transp. Syst., February, 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

Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks.

Junkai Qian, Yuning Jiang, Xin Liu, Qiong Wang, Ting Wang, Yuanming Shi, Wei Chen

IEEE Internet Things J., February, 2024

Safe and Efficient Online Convex Optimization with Linear Budget Constraints and Partial Feedback.

Shanqi Liu, Xin Liu

CoRR, 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

Latency-Aware Microservice Deployment for Edge AI Enabled Video Analytics.

Zhanpeng Yang, Zhiyong Yu, Xin Liu, Dingzhu Wen, Yong Zhou, Yuanming Shi

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Microservice Deployment for Satellite Edge AI Inference via Deep Reinforcement Learning.

Zhiyong Yu, Hei Victor Cheng, Zhanpeng Yang, Xin Liu, Yuning Jiang, Yong Zhou, Yuanming Shi

Proceedings of the 35th IEEE International Symposium on Personal, 2024

Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage.

Haobo Zhang, Xiyue Peng, Honghao Wei, Xin Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning.

Honghao Wei, Xiyue Peng, Arnob Ghosh, Xin Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Optimistic Joint Flow Control and Link Scheduling with Unknown Utility Functions.

Xin Liu, Honghao Wei, Lei Ying

Proceedings of the Twenty-fifth International Symposium on Theory, 2024

Efficient Two-Way Edge Backscatter with Commodity Bluetooth.

Maoran Jiang, Xin Liu, Dong Li, Wei Gong

Proceedings of the IEEE INFOCOM 2024, 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

Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration.

Honghao Wei, Xin Liu, Lei Ying

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks.

Junkai Qian, Yuning Jiang, Xin Liu, Qing Wang, Ting Wang, Yuanming Shi, Wei Chen

CoRR, 2023

Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks.

Honghao Wei, Xin Liu, Weina Wang, Lei Ying

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Neural Constrained Combinatorial Bandits.

Shangshang Wang, Simeng Bian, Xin Liu, Ziyu Shao

Proceedings of the IEEE INFOCOM 2023, 2023

Online Nonstochastic Control with Adversarial and Static Constraints.

Xin Liu, Zixian Yang, Lei Ying

Proceedings of the International Conference on Machine Learning, 2023

Federated Linear Bandit Learning via Over-the-air Computation.

Jiali Wang, Yuning Jiang, Xin Liu, Ting Wang, Yuanming Shi

Proceedings of the IEEE Global Communications Conference, 2023

2022

Universal Scaling of Distributed Queues Under Load Balancing in the Super-Halfin-Whitt Regime.

Xin Liu, Lei Ying

IEEE/ACM Trans. Netw., 2022

A Constrained Bandit Approach for Online Dispatching.

Xin Liu, Bin Li, Pengyi Shi, Lei Ying

SIGMETRICS Perform. Evaluation Rev., 2022

Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems.

Xin Liu, Honghao Wei, Lei Ying

CoRR, 2022

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

Hengquan Guo, Qi Zhu, Xin Liu

CoRR, 2022

Large-System Insensitivity of Zero-Waiting Load Balancing Algorithms.

Xin Liu, Kang Gong, Lei Ying

Proceedings of the SIGMETRICS/PERFORMANCE '22: ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, Mumbai, India, June 6, 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

Exploration. Exploitation, and Engagement in Multi-Armed Bandits with Abandonment.

Zixian Yang, Xin Liu, Lei Ying

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation.

Honghao Wei, Xin Liu, Lei Ying

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes.

Honghao Wei, Xin Liu, Lei Ying

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Provably-Efficient Model-Free Algorithm for Constrained Markov Decision Processes.

Honghao Wei, Xin Liu, Lei Ying

CoRR, 2021

An Efficient Pessimistic-Optimistic Algorithm for Constrained Linear Bandits.

Xin Liu, Bin Li, Pengyi Shi, Lei Ying

CoRR, 2021

An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints.

Xin Liu, Bin Li, Pengyi Shi, Lei Ying

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Beyond Scaling: Calculable Error Bounds of the Power-of-Two-Choices Mean-Field Model in Heavy-Traffic.

Hairi, Xin Liu, Lei Ying

Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021

2020

Steady-state analysis of load-balancing algorithms in the sub-Halfin-Whitt regime.

Xin Liu, Lei Ying

J. Appl. Probab., 2020

POND: Pessimistic-Optimistic oNline Dispatch.

Xin Liu, Bin Li, Pengyi Shi, Lei Ying

CoRR, 2020

2019

Spatial-temporal routing for supporting end-to-end hard deadlines in multi-hop networks.

Xin Liu, Weichang Wang, Lei Ying

Perform. Evaluation, 2019

Empty-Car Routing in Ridesharing Systems.

Anton Braverman, Jim G. Dai, Xin Liu, Lei Ying

Oper. Res., 2019

2018

A Simple Steady-State Analysis of Load Balancing Algorithms in the Sub-Halfin-Whitt Regime.

Xin Liu, Lei Ying

SIGMETRICS Perform. Evaluation Rev., 2018

On Achieving Zero Delay with Power-of-d-Choices Load Balancing.

Xin Liu, Lei Ying

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Wireless scheduling with deadline and power constraints.

Yiqiu Liu, Xin Liu, Lei Ying, R. Srikant

Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

2017

Fluid-Model-Based Car Routing for Modern Ridesharing Systems.

Anton Braverman, Jim G. Dai, Xin Liu, Lei Ying

Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Urbana-Champaign, IL, USA, June 05, 2017

2016

Spatial-temporal routing for supporting end-to-end hard deadlines in multi-hop networks.

Xin Liu, Lei Ying

Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

2014

Joint Beamforming and User Selection in Multicast Downlink Channel under Secrecy-Outage Constraint.

Xin Liu, Feifei Gao, Gongpu Wang, Xiyuan Wang

IEEE Commun. Lett., 2014