Chongxuan Li

Chongxuan Li is an Associate Professor at the Gaoling School of Artificial Intelligence, Renmin University of China. He obtained both his Bachelor's and Ph.D. degrees from Tsinghua University. His primary research focus is on deep probabilistic learning. He has published over 40 papers in international conferences and journals in the field of machine learning, including ICML, NeurIPS, ICLR, and TPAMI. His works, such as Analytic-DPM and DPM-Solver, have been incorporated into renowned large-scale text-to-image generation models like DALL·E 2 and Stable Diffusion and were recognized as the Outstanding Paper Award at ICLR 2022 and one of the most influential papers at NeurIPS 2022 by Paper Digest respectively. Li has received accolades including the CAAI Wu Wenjun Award for Outstanding Young AI Scientist, the ACM SIGAI China Rising Star Award, the CCF Outstanding Ph.D. Thesis Award, and the first-class CAAI Wu Wenjun Award for AI. He was also selected for the China Postdoctoral Innovative Talent Support Program and Beijing Nova Program. Moreover, he will serve as an Area Chair for ICLR 2024. Homepage https://zhenxuan00.github.io/.