Zach(Zhenyu) Wang
Scholar

Zach(Zhenyu) Wang

Google Scholar ID: gvvAyzYAAAAJ
Department of Statistics, Rutgers University
Multi-source LearningCausal InferenceNon-regular Statistics
Citations & Impact
All-time
Citations
44
 
H-index
3
 
i10-index
2
 
Publications
5
 
Co-authors
8
list available
Publications
5 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Paper 'Distributionally Robust Learning For Multi-source Unsupervised Domain Adaptation' accepted by Annals of Statistics
  • Paper 'Statistical Inference for Conditional Group Distributionally Robust Optimization with Cross-Entropy Loss' available on arxiv
  • Received ETH Zurich's Young Researcher Travel Award (2025)
  • Received Researcher Fellowship, Department of Statistics, Rutgers University (2025)
  • Received IMS 2024 ICSDS Student Travel Award (2024)
  • Received Cohen Student Research Poster Competition Award, Department of Statistics, Rutgers University (2024)
Research Experience
  • Will present a poster at NeurlPS 2025 in San Diego this December
  • Invited to speak at INFORMS 2025 Annual Meeting in Atlanta, Georgia, this October
  • Will give a talk at Joint Statistical Meeting (JSM) in Nashville, Tennessee, in August 2025
  • Will speak at IMS 2024 ICSDS in Nice, France, in December 2024
  • Will present at Joint Conference on Statistics and Data Science (JCSDS) in Kunming, China, in July 2024
  • Will speak at Hangzhou International Conference on Frontiers of Data Science, Zhejiang University, in July 2024
  • Will give a talk at New England Statistical Symposium (NESS) at the University of Connecticut in May 2024
  • Spoke at Hangzhou International Conference on Frontiers of Data Science, Zhejiang University, in August 2023
Background
  • Research interests include distributional robustness, causal inference, and non-regular statistical inference. Currently a fourth-year Ph.D. student in Statistics at Rutgers University.
Miscellany
  • Serves as a reviewer for several journals including Journal of the Royal Statistical Society: Series B (JRSSB), Journal of the American Statistical Association (JASA), and TEST.