Faming Liang
Scholar

Faming Liang

Google Scholar ID: TboqoPIAAAAJ
Distinguished Professor of Statistics, Purdue University
Machine LearningMonte Carlobig dataBioinformatics
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Citations & Impact
All-time
Citations
2,930
 
H-index
29
 
i10-index
71
 
Publications
20
 
Co-authors
0
 
Contact
Emailsciencehelp@purdue.edu
Publications
6 items
Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions
2026
Cited
0
Stochastic Neural Networks for Causal Inference with Missing Confounders
2026
Cited
0
Deep Survival Analysis for Competing Risk Modeling with Functional Covariates and Missing Data Imputation
2025
Cited
0
Uncertainty Quantification for Large-Scale Deep Networks via Post-StoNet Modeling
2025
Cited
0
Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference
2025
Cited
0
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks
2025
Cited
0
Resume
Academic Achievements
  • Published several papers in top-tier journals; received the International Statistical Institute Young Scientist Award.
Research Experience
  • Former Assistant Researcher at the Department of Statistics, Purdue University, involved in multiple interdisciplinary research projects.
Education
  • PhD in Statistics, Purdue University, Advisor: Prof. Li Si, 2018-2022; MSc in Applied Mathematics, Peking University, 2014-2016.
Background
  • Research interests include machine learning and data science; specialized in statistics.
Miscellany
  • Enjoys traveling and reading science fiction.