Scholar
Yidong Zhou
Google Scholar ID: MjugrtIAAAAJ
University of California, Davis
Citations & Impact
Citations
137
H-index
5
i10-index
4
Publications
20
Co-authors
16
list available
Contact
Publications
Cited
0
Resume (English only)
Academic Achievements
- Paper 'Network Regression with Graph Laplacians' published in the Journal of Machine Learning Research and selected as a 2023 Student Paper Award Finalist in the Nonparametric Statistics Section of the American Statistical Association; two papers 'Fréchet Geodesic Boosting' and 'Wasserstein Transfer Learning' accepted for presentation at NeurIPS 2025; 'Deep Fréchet Regression' accepted for publication in the Journal of the American Statistical Association.
Research Experience
- Postdoctoral scholar in the Department of Statistics at the University of California, Davis, working with Professor Hans-Georg Müller; summer intern at Amazon in 2022.
Education
- Received a B.S. in Statistics from the University of Science and Technology of China in 2019; earned a Ph.D. in Statistics from the University of California, Davis in March 2024, under the guidance of Professor Hans-Georg Müller.
Background
- Research interests include developing statistical methodologies that harness the intrinsic geometric structure of complex data, particularly for probability distributions, networks, trees, functional data, and data on manifolds. Focuses on causal inference, deep learning, and Fréchet regression.
Miscellany
- Open to collaborations and new research directions; will be on the academic job market for the 2025-2026 cycle.
