Zijian Guo
Scholar

Zijian Guo

Google Scholar ID: tcfciuAAAAAJ
Associate Professor of Statistics, Rutgers University
High-dimensional StatisticsCausal InferencePost-selection InferenceCausal Inference and
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,290
 
H-index
20
 
i10-index
29
 
Publications
20
 
Co-authors
37
list available
Contact
CVOpen ↗GitHubOpen ↗
Publications
16 items
Robust Learning of Heterogeneous Dynamic Systems
2026
Cited
0
Propensity Score Propagation: A General Framework for Design-Based Inference with Unknown Propensity Scores
2026
Cited
0
Adversarial Drift-Aware Predictive Transfer: Toward Durable Clinical AI
2026
Cited
0
Distributionally Robust Synthetic Control: Ensuring Robustness Against Highly Correlated Controls and Weight Shifts
2025
Cited
0
Perturbed Double Machine Learning: Nonstandard Inference Beyond the Parametric Length
2025
Cited
0
One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning
2025
Cited
0
Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems
2025
Cited
0
Statistical Inference for Conditional Group Distributionally Robust Optimization with Cross-Entropy Loss
2025
Cited
0
Resume (English only)
Academic Achievements
  • - National Institute of Health Grants:
  • - NIH R01LM013614 (Co-PI): Semi-supervised Approaches to Denoising Electronic Health Records Data for Risk Prediction
  • - NIH R01GM140463 (PI): Predictive Modeling with High-Dimensional Incomplete Data
  • - NIH R56-HL-138306-01 (Co-I): Statistics Methods for Analyzing Electronic Health Record Data
  • - National Science Foundation Grants:
  • - NSF DMS 2015373 (Co-PI): Repro Sampling Method: A Transformative Artificial-Sample-Based Inferential Framework with Applications to Discrete Parameter, High-Dimensional Data, and Rare Events Inferences
  • - NSF DMS 1811857 (PI): Inference in High-Dimensional Linear Models: Methods, Theory and Applications
  • - Honors and Awards:
  • - Honorary mention for Bernoulli Society New Researcher Award 2023
  • - ICSA New Researcher Award, ICSA International Conference, 2019
  • - IMS Travel Award, JSM 2017
  • - President Gutmann Leadership Award, University of Pennsylvania, 2017
  • - J. Parker Brusk Prize, 2016
  • - Section in Epidemiology Young Investigator Award, JSM 2013
  • - Chung Chi College Departmental Prize, 2011-2012
  • - Dr. Chao Yong Chi-hsing Scholarship in Mathematics, 2011-2012
  • - Chung Chi Ivy League Exchange Scholarship, 2009-2010
  • - Caring Alumni Student Exchange Scholarship, 2009-2010
  • - Honors at Entrance to the Chinese University of Hong Kong, 2008
Research Experience
  • - Associate Professor in the Department of Statistics at Rutgers University
Education
  • - Ph.D. in Statistics from The Wharton School, University of Pennsylvania, May 2017, Advisor: Professor T. Tony Cai
  • - B.S. First honor in Mathematics from the Department of Mathematics, The Chinese University of Hong Kong, July 2012
Background
  • - Research Interests: High-dimensional statistical inference, causal inference, post-selection inference, semi-supervised and transfer learning, and applications to genetics and health studies
  • - Position: Associate Professor in the Department of Statistics at Rutgers University
Miscellany
  • - Links: [Google Scholar] [arXiv] [Github]
Co-authors
37 total
T. Tony Cai
T. Tony Cai
Professor of Statistics & Data Science, University of Pennsylvania
Dylan Small
Dylan Small
Professor of Statistics, University of Pennsylvania
Peter Bühlmann
Peter Bühlmann
Professor of Statistics and Mathematics, ETH Zurich
Co-author 4
Co-author 4
Co-author 5
Co-author 5
Prabrisha Rakshit
Prabrisha Rakshit
Indian Institute of Management Udaipur
Co-author 7
Co-author 7
Zach(Zhenyu) Wang
Zach(Zhenyu) Wang
Department of Statistics, Rutgers University