Hi, I am He Wang, a second-year PhD candidate 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

May, 2024 Our work “Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes``, is accepted to Reinforcement Learning Conference (RLC), 2024! [Full version]. See you around at Amherst this August!
May, 2024 I joined Amazon Web Services (AWS) at NY this summer as a research intern, happy to meet up if you are around!
Dec, 2023 Our work “Communication-Efficient Federated Optimization over Semi-Decentralized Networks``, is accepted to IEEE IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024! [Full version]
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!