Scholar

Feng Ruan

Google Scholar ID: XbjOzyQAAAAJ

Department of EECS, University of California, Berkeley

Machine LearningStatistics

Homepage↗Google Scholar↗

Citations & Impact

All-time

Citations

1,511

H-index

i10-index

Publications

Co-authors

list available

Contact

CVOpen ↗GitHubOpen ↗

Publications

7 items

RAPTOR: Ridge-Adaptive Logistic Probes

2026

Cited

A Compositional Kernel Model for Feature Learning

2025

Cited

On the kernel learning problem

2025

Cited

Robust Detection of Watermarks for Large Language Models Under Human Edits

arXiv.org · 2024

Cited

Subgradient Selection Convergence Implies Uniform Subdifferential Set Convergence: And Other Tight Convergences Rates in Stochastic Convex Composite Minimization

2024

Cited

Nonparametric Modern Hopfield Models

arXiv.org · 2024

Cited

A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules

arXiv.org · 2024

Cited

Resume (English only)

Academic Achievements

Selected Publications: [my favorite publications]; Curriculum Vitae: [cv.pdf].

Research Experience

Postdoctoral researcher at the University of California Berkeley, advised by Professor Michael Jordan for three years.

Education

Ph.D. in Statistics from Stanford, advised by Professor John Duchi.

Background

Research interests and field: Statistics and Data Science; Brief introduction: Assistant Professor in the Department of Statistics and Data Science at Northwestern University.

Miscellany

Contact info: fengruan at northwestern.edu

Co-authors

14 total

John Duchi

Associate Professor of Statistics and Electrical Engineering, Stanford University

Andrea Montanari

John D. and Sigrid Banks Professor, Statistics and Mathematics, Stanford University

Michael I. Jordan

Professor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley

Co-author 4

Robert Tibshirani

Professor of Biomedical Data Sciences, and of Statistics, Stanford University