研究方向

Machine Learning

  • Online Learning: Experts, Bandits, Online Convex Optimization, Multi-scale Online Learing，Online Learning with Attacks/Corruptions
  • Distributed Learning/Estimation
  • Statistical Learning
  • Optimization and Operation Research: Knapsack, Job Scheduling, Ski Rental, Online Linear Programming, Online Decision Making etc.

Foundation Model

  • Include both “ML for Foundation Model“ and “Foundation Model for ML“, such as optimizing the implementation of LLMs in Edge etc.

发表论文：

  1. Asynchronous Multi-Agent Bandits: Fully Distributed vs. Leader-Coordinated Algorithms
    Xuchuang Wang, Janice Chen, Xutong Liu, , Lin Yang*, Mohammad Hajiesmaili, John CS Lui, Don Towsley ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), June 2025. (Full Paper)
  2. [AISTATS 2023] On-Demand Communication for Asynchronous Multi-Agent Bandits (to appear)
    Yu-zhen Janice Chen, Lin Yang*, Xuchuang Wang, Xutong Liu, Mohammad Hajiesmaili, John C.S. Lui, Don Towsley
    The 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), 2023.
  3. [ICLR 2023] Achieve Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits (to appear)
    Xuchuang Wang, Lin Yang*, Yu-zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C.S. Lui
    The Eleventh International Conference on Learning Representations (ICLR 2023), 2023.
  4. [SIGMETRICS 2023] The Online Knapsack Problem with Departures
    Bo Sun#, Lin Yang#, Mohammad Hajiesmaili, Adam Wierman, Don Towsley
    ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), June 2023. (Full Paper).
  5. [SIGMETRICS 2022] Hierarchical Learning Algorithms for Multi-scale Expert Problems
    Lin Yang, Yu-zhen Chen, Mohammad Hajiesmaili, Mark Herbster, Don Towsley
    ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), June 2022. (Full Paper)
    Journal Version: Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2022, 6(2): 1-29.
  6. [INFOCOM 2022] Distributed Bandits with Heterogeneous Agents
    Lin Yang, Yu-zhen Chen, Mohammad Hajiesmaili, John CS Lui, Don Towsley
    IEEE International Conference on Computer Communications (INFOCOM), 2022.
  7. [SIGMETRICS 2022] Competitive Algorithms for Online Multidimensional Knapsack Problems
    Lin Yang, Ali Zeynali, Mohammad Hajiesmaili, Ramesh Sitaraman, Donald F. Towsley
    ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), June 2022. (Full Paper)
    Journal Version: Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2021, 5(3): 1-30.
  8. [NeurIPS 2021] Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback
    Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris, Mohammad Hajiesmaili, John CS Lui, Don Towsley
    Advances in Neural Information Processing Systems (NeurIPS), 2021.
  9. [Performance 2021] Competitive Bidding Strategies for Online Linear Optimization with Inventory Management Constraints
    Russell Lee, Yutao Zhou, Lin Yang, Mohammad Hajiesmaili, Ramesh Sitaraman
    IFIP Performance, 2021.
  10. Learning Based Control Policy and Regret Analysis for Online Quadratic Optimization with Asymmetric Information Structure
    Cheng Tan, Lin Yang*, Wing Shing Wong
    Transactions on Cybernetics, 2021.
  11. [NeurIPS 2020] Adversarial Bandits with Corruptions: Regret Lower Bound and No-regret Algorithm
    Lin Yang, Mohammad Hajiesmaili, Mohammad Sadegh Talebi, John CS Lui, Wing Shing Wong
    Advances in Neural Information Processing Systems (NeurIPS), 2020.
  12. [SIGMETRICS 2020] Online Linear Optimization with Inventory Management Constraints
    Lin Yang#, Mohammad Hajiesmaili#, Ramesh Sitaraman, Adam Wierman, Enrique Mallada, Wing Shing Wong
    ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), June 2020. (Full Paper)
    Journal Version: Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2020, 4(1): 1-29.
  13. Online Linear Programming with Uncertain Constraints
    Lin Yang, Mohammad H. Hajiesmaili, and Wing Shing Wong
    Proceedings of The 53rd Annual Conference on Information Sciences and Systems (CISS). 2019. (Invited Paper)
  14. Stabilization of Discrete Time Stochastic System with Input Delay and Control Dependent Noise
    Cheng Tan, Lin Yang, Fangfang Zhang, Zhenqiang Zhang and Wing Shing Wong
    Systems & Control Letters, 2019, 123: 62–68.
  15. An Average Queue-Length-Difference-Based Congestion Detection Algorithm in TCP/AQM Network
    Jin Zhu, Tong Luo, Lin Yang, Wanqing Xie, and G. E. Dullerud
    International Journal of Adaptive Control and Signal Processing. 2018.
  16. [SIGMETRICS 2017] Hour-Ahead Offering Strategies in Electricity Market for Power Producers with Storage and Intermittent Supply
    Lin Yang#, Mohammad H. Hajiesmaili#, Hanling Yi, and Minghua Chen
    ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), June 2017. (Poster Paper)
  17. Gittins Index Based Control Policy for a Class of Pursuit-Evasion Problems
    Cheng Tan, Changbao Xu, Lin Yang, and Wing Shing Wong
    IET Control Theory and Applications, 12(1), 110-118, 2017.
  18. Competitive Online Algorithms for Geographical Load Balancing in Data Centers with Energy Storage
    Chi-Kin Chau, Lin Yang
    Proceedings of the 5th International Workshop on Energy Efficient Data Centres. 2016.
  19. An Optimal Vertical Handoff Decision Algorithm for Multiple Services with Different Priorities in Heterogeneous Wireless Networks
    Jin Zhu, Limin Xu, Lin Yang, Wanqing Xie
    Wireless Personal Communications 83 (1), 527-549, 2015.
  20. [ComLett] Time Series Analysis for Congestion Detection in TCP/AQM Networks
    Lin Yang, Jin Zhu, Wanqing Xie, and G. E. Dullerud
    IEEE Communications Letters, 19(3), 331-334, 2015.

​ (#: Equal Contribution or Co-first Author; *: Corresponding Author)