Xin Liu

Xin Liu is a postdoctoral research fellow at the Electrical Engineering and Computer Science Department of the University of Michigan, Ann Arbor, working with Prof. Lei Ying. He received the Ph.D. degree in Electrical Engineering at Arizona State University, advised by Prof. Lei Ying in 2019. He received Master's degree in Signal and Information Processing at University of Chinese Academy of Sciences in 2014, and Bachelor's degree in Electrical Engineering at Hunan University in 2011.

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Research Interests

His research lies broadly in stochastic modeling, analysis, and optimization and online learning and decision-making with applications in load balancing in large-scale server systems, routing in comminication and ride-sharing networks, and constrained online dispatching.

Selected Publications

An Efficient Pessimistic-Optimistic Algorithm for Constrained Linear Bandits.
Under Review
Xin Liu, Bin Li, Pengyi Shi, and Lei Ying

Steady-State Analysis of Load Balancing with Coxian-2 Distribution Service Times.
Accepted in Naval Research Logistics
Xin Liu , Kang Gong, and Lei Ying

On Universal Scaling of Distributed Queues under Load Balancing.
Submitted to IEEE/ACM Transactions on Networking
Xin Liu and Lei Ying

Steady-State Analysis of Load Balancing Algorithms in the Sub-Halfin-Whitt Regime.
Journal of Applied Probability, Apr., 2020 (SIGMETRICS MAMA Workshop 2018)
Xin Liu and Lei Ying

On Achieving Zero Delay with Power-of-d-Choices Load Balancing.
IEEE Transactions on Network Science and Engineering. Oct., 2018, Fast-Track Review for TNSE (7 out of 312 accepted papers were invited at INFOCOM 2018)
Xin Liu and Lei Ying

Empty-Car Routing in Ridesharing Systems.
Operations Research, Aug., 2019 (Poster at SIGMETRICS 2017)
Anton Braverman, Jim Dai, Xin Liu, and Lei Ying. Media coverage: [TechXplore] [Informs Press]

Spatial-Temporal Routing for Supporting End-to-End Hard Deadlines in Multi-Hop Networks.
Performance Evaluation, July, 2019 (CISS 2016)
Xin Liu, Weichang Wang, and Lei Ying

Credit to Jon