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!
CV
News
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! |
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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] |