Ji Zhu
Scholar

Ji Zhu

Google Scholar ID: Xct9gdwAAAAJ
Professor of Statistics, University of Michigan
Statistical Machine Learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
13,677
 
H-index
56
 
i10-index
140
 
Publications
20
 
Co-authors
0
 
Publications
21 items
Noisy Matrix Completion under Informative Missingness
2026
Cited
0
Hypergraph Representation Learning with Hyperlink Random Effects
2026
Cited
0
Conditional-Independence-Regularized Distributional Autoencoders for Mixed-Type Data
2026
Cited
0
Conformal Prediction for Dyadic Regression Under Complex Missingness
2026
Cited
0
Theoretical Analysis of Engression and Reverse Markov Engression
2026
Cited
0
Efficient Synthetic Network Generation via Latent Embedding Reconstruction
2026
Cited
0
From Simple to Composite Perturbations: A Unified Decomposition Framework for Stochastic Block Models
2026
Cited
0
Balanced Stochastic Block Model for Community Detection in Signed Networks
2026
Cited
0
Resume
Academic Achievements
  • - 2022 Pao-Lu Hsu Award, International Chinese Statistical Association
  • - 2020 Grand Prize Winner, COVID-19 Data Challenge, American Heart Association
  • - 2015 Fellow, Institute of Mathematical Statistics
  • - 2014-2020 Web of Science Highly Cited Researcher
  • - 2013 Fellow, American Statistical Association
  • - 2011-2013 Chair-Elect and Chair, Statistical Learning and Data Science Section, American Statistical Association
  • - 2010 Elected Member of the International Statistical Institute
  • - 2008-2013 CAREER Award, National Science Foundation
  • - 2002 Student Paper Competition Award, Computing Section, American Statistical Association
  • - 1998-2001 Kimball Graduate Fellowship, Stanford University
Research Experience
  • No specific research experience provided.
Education
  • - Ph.D. in Statistics, Stanford University, 2003, Advisor: Trevor Hastie
  • - M.Sc. in Statistics, Stanford University, 2000
  • - B.Sc. in Physics, Peking University, 1996
Background
  • Current Research Interests: Statistical machine learning, Statistical network analysis, Statistical modeling for health and science. Susan A. Murphy Collegiate Professor at the Department of Statistics, University of Michigan.
Miscellany
  • Currently serving as Editor-in-Chief of Annals of Applied Statistics and Action Editor for Journal of Machine Learning Research; affiliated with Michigan Institute for Data Science (MIDAS) and Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP).