Qingsong Liu | Manning College of Information and Computer Sciences (CICS), UMass, Amherst

About Me

I am currently a Postdoctoral Research Associate at the University of Massachusetts (UMass) Amherst, working with Prof. Mohammad Hajiesmaili since October 2024. Before joining UMass, I received my Ph.D. in July 2024 from the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, where I was supervised by Prof. Zhixuan Fang. Prior to that, I achieved my Bachelor’s degree in July 2019 at the Department of Electronic Engineering of Tsinghua University and worked with Prof. Wenfei Wu.

Research Interests

Constrained Online Optimization and Learning
Modeling and Optimization in Computer Systems and Communication Networks

Selected Conference Papers (* indicates equal contributions)

Online Fair Allocation of Reusable Resources
Qingsong Liu and Mohammad Hajiesmaili
55th ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems. ACM Sigmetrics 2025.
Learning to Optimize Resource Utilization with QoS Guarantees
Zifan Jia*, Qingsong Liu*, Haihui Fan, Xiaoyan Gu, Bo Li, and Weiping Wang
38th IEEE International Conference on Computer Communications. IEEE INFOCOM 2025.
Learning the Optimal Control for Evolving Systems with Converging Dynamics
Qingsong Liu and Zhixuan Fang
54th ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems. ACM Sigmetrics 2024.
Adversarial Combinatorial Bandits with Switching Cost and Arm Selection Constraints
Yin Huang*, Qingsong Liu*, and Jie Xu
37th IEEE International Conference on Computer Communications. IEEE INFOCOM 2024.
Learning-based Scheduling for Information Gathering with QoS Constraints
Qingsong Liu, Weihang Xu, and Zhixuan Fang
37th IEEE International Conference on Computer Communications. IEEE INFOCOM 2024.
Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS regret
Qingsong Liu and Zhixuan Fang
38th AAAI Conference on Artificial Intelligence. AAAI 2024.
Learning to Schedule Tasks with Deadline and Throughput Constraints
Qingsong Liu and Zhixuan Fang
36th IEEE International Conference on Computer Communications. IEEE INFOCOM 2023.
Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness
Qingsong Liu*, Weihang Xu*, Siwei Wang, and Zhixuan Fang
36th Annual Conference on Neural Information Processing Systems. NeurIPS 2022.
Online Convex Optimization with Switching Costs: Algorithms and Performance
Qingsong Liu, Zhuoran Li, and Zhixuan Fang
20th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks. IEEE WiOpt 2022.
Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints
Qingsong Liu, Wenfei Wu, Longbo Huang, and Zhixuan Fang
39th International Symposium on Computer Performance, Modeling, Measurements and Evaluation. IFIP Performance 2021.

Journal Papers

Smoothed Online Decision Making in Communication: Algorithms and Applications
Qingsong Liu, Zhuoran Li, and Zhixuan Fang
IEEE/ACM Transactions on Networking, 2024.
Optimal Caching for Partial-observation Regime and Beyond
Zifan Jia*, Qingsong Liu*, Jiang Zhou, Xiaoyan Gu, Yaoyu Zhang, Bo Li, and Weiping Wang
IEEE Transactions on Services Computing, 2024.
Online Task Scheduling and Termination with Throughput Constraint
Qingsong Liu and Zhixuan Fang
IEEE/ACM Transactions on Networking, 2024.
Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints
Qingsong Liu, Wenfei Wu, Longbo Huang, and Zhixuan Fang
Elsevier’s Performance Evaluation (PEVA), volume 152, 2021.

Services

Conference Reviewers: CDC 2022, AISTATS 2023, and NeurIPS 2024
Journal Reviewers: IEEE TMC, IEEE TNNLS, Neural Computation, ACM TOMPECS, and IEEE/ACM TON

Teaching