About Me

Hello and welcome! I am currently a final-year master advised by Prof. Jie Lu at ShanghaiTech University, majoring in Information and Communication Engineering. Earlier, I obtained my bachelor’s degree in Computer Science from ShanghaiTech University as an Outstanding Graduate. During my undergraduate period, I studied as a visiting undergraduate student at UC Berkeley for the summer session in 2017.

My research interests lie in the area of networked dynamic systems, with the focus on distributed/decentralized optimization and multi-agent decision-making.

Update: I will join CMU ECE as a PhD student, starting from Fall 2022. If you are interested in working with me, feel free to contact me!


[2021/04] (New paper) Our work “Distributed Optimization with Coupling Constraint’’, is accepted to IEEE Transactions on Automatica Control (TAC)! [Paper]

[2022/02] (New paper) Our work “Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles``, is accepted to IEEE International Conference on Robotics and Automation (ICRA), 2022!

[2021/07] (New paper) Our work “Decentralized Statistical Inference with Unrolled Graph Neural Networks’’ has been published in IEEE Conference on Decision and Control (CDC), 2021! [Paper] [Source Code]

[2020/12] (New paper) Our work “A Distributed Proximal Primal-Dual Algorithm for Nonsmooth Optimization with Coupling Constraints’’ has been published in Proceedings of IEEE Conference on Decision and Control (CDC), 2020! [Paper]