Huanran Li is a Ph.D. candidate in Electrical Engineering at UW-Madison. His research interests include subspace clustering, visualization, and high-rank matrix completion His work has been recognized through prestigious awards like the best student paper at IVAPP 2023 and the Outstanding Poster at MMLS 2023. He also received the ECE Gerald Holdridge Teaching Assistant Award in 2023.

More recently, his focus has shifted toward deep learning, particularly in the areas of Contrastive Learning (CL) and Large Language Models (LLMs). He developed an innovative model that integrates self-attention mechanisms into the CL framework. This work demonstrates not only practical advancements but also significantly contributes to the theoretical understanding of how augmentation scale impacts learning outcomes in CL. Moving forward, he aims to deepen his exploration in this area for his Ph.D. thesis, primarily focusing on CL, Neural Collapse, and Transformers.

Huanran is originally from China, and in his spare time he enjoys rock climbing, snowboarding, and not having to take his cats to the vet.