Hi, I am He Wang, a first-year PhD student at the Electircal and Computer Engineering Department of Carnegie Mellon University. I am fortunate to be advised by Prof. Yuejie Chi.

Prior to CMU, I received a M.S. in Communication and Information System from the University of Chinese Academy advised by Prof. Jie Lu in 2022 and a Bachelor’s degree in ShanghaiTech University as an Outstanding Graduate in 2019.

My current research interests lie in decentralized and federated machine learning and reinforcement learning. Previously, I worked on distributed optimization, game theory, multi-agent reinforcement learning and data science. More details can be found under [Research].

If you are interested in working with me, feel free to contact me!



Jan, 2023 I am co-organizing the Pittsburgh Women in Mathematics and Computing Symposium (WMCS). All Pittsburgh-area undergraduate students in mathematics and computing-related programs are very welcomed! Apply here!
Jan, 2023 I was selected to receive the Bob Lee Gregory Fellowship for the 2022-23 academic year! Thank you for all my collaborators and my wonderful advisor!
Sep, 2022 I started my Ph.D. journey at CMU ECE, and joined Prof. Yuejie Chi’s group!
Apr, 2022 Our work “Distributed Optimization with Coupling Constraint’’, is accepted to IEEE Transactions on Automatica Control (TAC)! [Paper] An extension of our previous work published in IEEE Conference on Decision and Control (CDC), 2020. [Paper]
Feb, 2022 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! [Paper]
Jul, 2021 Our work “Decentralized Statistical Inference with Unrolled Graph Neural Networks’’ has been published in IEEE Conference on Decision and Control (CDC), 2021! [Paper]