Chongxuan Li
Scholar

Chongxuan Li

Google Scholar ID: UKMcQn4AAAAJ
Associate Professor, Renmin University of China
Machine LearningGenerative ModelsDeep Learning
Citations & Impact
All-time
Citations
8,868
 
H-index
36
 
i10-index
61
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • - Paper 'Large Language Diffusion Models' accepted at NeurIPS 2025 and won the Best Paper Award at DeLTa@ICLR 2025
  • - Paper 'ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation' accepted at NeurIPS 2023 and selected as one of the Most Influential Papers in NeurIPS 2023
  • - Other papers published in top conferences such as NeurIPS, ICML, CVPR
Research Experience
  • - Tenure-track Associate Professor at Gaoling School of AI, Renmin University of China
  • - Head of the Machine Learning Group (GSAI-ML)
Education
  • - Ph.D., Department of Computer Science and Technology, Tsinghua University, supervised by Prof. Bo Zhang and Prof. Jun Zhu
  • - Spent a year at AMLab, working with Prof. Max Welling during his Ph.D.
  • - B.E., Institute for Interdisciplinary Information Sciences, Tsinghua University, 2014
Background
  • Research Interests: Deep generative models, aiming to characterize the distribution of input data and simulate the underlying world. The mission is to understand the power and limitations of existing models, design scalable and efficient next-generation models, and develop principled and effective algorithms for AIGC applications.