Hi, I am He Wang, a fourth-year PhD candidate in the Department of Electrical and Computer Engineering at Carnegie Mellon University. I am fortunate to be advised by Prof. Yuejie Chi and Prof. Gauri Joshi.
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 are in reinforcement learning and distributed optimization, with a focus on sample efficiency and robustness. I have also worked on post-training methods and agentic models.
If you’re interested in collaborating or talking further, feel free to contact me!
CV
News
| Oct, 2025 | Two papers got accepted to the NeurIPS 2025 workshop on RL! Excited to chat in San Diego! |
|---|---|
| Oct, 2025 | I will give a talk on robust RL at INFORMS 2025. See you at Atlanta! |
| May, 2025 | I returned to Amazon Web Services (AWS) at Santa Clara this summer as a research intern, happy to meet up if you are around! |
| Dec, 2024 | The full version of our work “Communication-Efficient Federated Optimization over Semi-Decentralized Networks``, is accepted to IEEE Transactions on Signal and Information Processing over Networks, 2025! paper |
| 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! |
| Jan, 2023 | I was selected to receive the Bob Lee Gregory Fellowship! Thank you for all my collaborators and my wonderful advisor! |