Chen Changyou
Scholar

Chen Changyou

Google Scholar ID: LtEcKBcAAAAJ
Associate Professor at University at Buffalo
Large-Scale Bayesian LearningDeep Learning
Citations & Impact
All-time
Citations
6,572
 
H-index
43
 
i10-index
101
 
Publications
20
 
Co-authors
17
list available
Contact
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Multiple papers accepted by top-tier conferences such as ICLR 2019, NeurIPS 2019, IROS 2018, UAI 2018, ICML 2018, and AISTATS 2018.
Research Experience
  • Formerly an Assistant Professor at the University at Buffalo and a Research Assistant Professor and Postdoctoral Associate in the Department of Electrical and Computer Engineering at Duke University. Serves as an Area Chair for multiple AI conferences (ICML, NeurIPS, AAAI, IJCAI) and is an Action Editor for Transactions on Machine Learning Research.
Education
  • PhD from the College of Engineering and Computer Science, Australian National University in 2014; Master and Bachelor degrees from the School of Computer Science, Fudan University, Shanghai, China.
Background
  • An Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, State University of New York. Research interests include general AI techniques, with a focus on multi-modal modeling and learning, self-supervised learning, large language models, generative models, and large-scale Bayesian sampling and inference.
Miscellany
  • Organized the 1st workshop on Foundation Models in Vision and Language; former students are now working at companies like Adobe, Meta, and Google.