研究方向
Machine Learning
- Online Learning: Experts, Bandits, Online Convex Optimization, Multi-scale Online Learning, 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
Asynchronous Multi-Agent Bandits: Fully Distributed vs. Leader-Coordinated Algorithms
ACM SIGMETRICS, June 2025 (Full Paper)
SIGMETRICS 2023 (Full Paper)
SIGMETRICS 2022 (Full Paper); Journal Version: POMACS, 6(2), 1-29, 2022
INFOCOM 2022
SIGMETRICS 2022 (Full Paper); Journal Version: POMACS, 5(3), 1-30, 2021
Performance 2021
Transactions on Cybernetics, 2021
SIGMETRICS 2020 (Full Paper); Journal Version: POMACS, 4(1), 1-29, 2020
CISS 2019 (Invited Paper)
Systems & Control Letters, 2019, 123: 62-68
International Journal of Adaptive Control and Signal Processing, 2018
SIGMETRICS 2017 (Poster Paper)
IET Control Theory and Applications, 12(1), 110-118, 2017
EEDC Workshop 2016
Wireless Personal Communications 83 (1), 527-549, 2015
IEEE Communications Letters, 19(3), 331-334, 2015