Qingsong Liu

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

Recent News

• [March 2025] One paper accepted to Sigmetrics 2025!
• [December 2024] One paper accepted to IEEE INFOCOM!
• [October 2024] One paper accepted to IEEE/ACM TON!
• [July 2024] I received Tsinghua University Distinguished Doctoral Dissertation Award!
• [June 2024] I successfully passed my Ph.D. thesis defense!
• [June 2024] One paper accepted to IEEE/ACM TON!
• [March 2024] One paper accepted to Sigmetrics 2024!
• [December 2023] One paper accepted to AAAI 2024!
• [December 2023] Two papers accepted to INFOCOM 2024!

Conference Papers

• AoI-Constrained Scheduling for Information Freshness over Unreliable Channels
  Zifan Jia, Haihui Fan, Xiaoyan Gu, Bo Li, Weiping Wang, and Qingsong Liu
  33th IEEE/ACM International Symposium on Quality of Service. IEEE/ACM IWQoS 2025.

• Online Fair Allocation of Reusable Resources
  Qingsong Liu and Mohammad Hajiesmaili
  55th Annual Conference of the ACM Special Interest Group 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 Annual Conference of the ACM Special Interest Group 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.

• The Optimal Dynamic Regret for Smoothed Online Convex Optimization with Squared Norm Switching Costs
  Yaoyu Zhang, Qingsong Liu, Jian Sun, and Chenye Wu
  Journal of the Franklin Institute, 2023.

• 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

• Game Theory, Institute for Interdisciplinary Information Sciences(IIIS), Tsinghua University, Teaching Assistant
• Security Technologies in Cyberspace, Institute for Interdisciplinary Information Sciences(IIIS), Tsinghua University, Teaching Assistant

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