Lianghe Shi (石亮禾)
About Me
Hi! I am a first-year Ph.D. student at EECS, University of Michigan, advised by Prof. Qing Qu. Before joining U-M, I received my undergraduate and master’s degrees from the Wuhan University, majoring in software engineering and computer science, respectively, advised by Prof. Weiwei Liu.
My research interests broadly encompass topics in machine learning, algorithms, and their theory, including representation learning, adversarial robustness, domain shifts, and high-dimensional statistics. I prefer to use mathematical tools to design algorithms and explain intriguing phenomena observed in experiments, providing insights for further algorithm development.
I am open to talking with anyone interested in my research or simply looking to chat about life in Ann Arbor 😊.
Academic Services
- Conference Reviewer: NeurIPS, ICML, ICLR.