Qingsong Liu

About Me

I received my Ph.D. from the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, where I was supervised by Prof. Zhixuan Fang. Before that, I achieved my Bachelor’s degree at the Department of Electronic Engineering of Tsinghua University and worked with Prof. Wenfei Wu.

Research Interests

• Constrained Online Optimization and Learning, Stochastic Network Optimization
• Modeling and Optimization in the Computer Systems and Communication Networks

Recent News

• [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 paper accepted to INFOCOM 2024!

Selected Conference Papers (* indicates equal contributions)

• 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. 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. 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. INFOCOM 2024.

• Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS regret of Multi-player Bandits
  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. 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. 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. Performance 2021.

Journal Papers

• 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

• 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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