Scholar
Shandian Zhe
Google Scholar ID: AVZXgyMAAAAJ
School of Computing, University of Utah
Citations & Impact
Citations
2,926
H-index
23
i10-index
48
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top conferences such as ICML, ICLR, AISTATS, and NeurIPS. Students under his supervision have won several academic awards and secured positions at prestigious institutions like Microsoft Research Asia.
Research Experience
- Currently an Associate Professor at the School of Computing, University of Utah. Teaches courses such as Engineering Probability and Statistics, Probabilistic Modeling, Machine Learning, and Foundations of Data Analysis. Supervises multiple Ph.D. and undergraduate students in research.
Education
- Obtained the Ph.D. degree from the Computer Science Department of Purdue University in 2017.
Background
- Research interests mainly lie in probabilistic learning, including but not limited to probabilistic graphical models, Bayesian deep neural networks, operator learning, generative modeling, physics-informed neural networks, Bayesian emulation, approximate inference, and kernel methods. Applications include microarray data analysis, Alzheimer's disease association study, fMRI data analysis, blood transfusion prediction, and click-through-rate prediction for online advertising.
Miscellany
- Looking for highly motivated students with solid backgrounds in probability, linear algebra, and/or optimization, and good programming skills to join his research group.
