Scholar
Weijie Su
Google Scholar ID: Uhf4nBkAAAAJ
Associate Professor, University of Pennsylvania
Machine Learning
Differential Privacy
High-Dimensional Statistics
Optimization
Deep Learning
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Citations & Impact
All-time
Citations
5,608
H-index
33
i10-index
70
Publications
20
Co-authors
50
list available
Publications
40 items
Use and Effects of LLMs in Peer Review: A Randomized Experiment and Survey at ICML 2026
2026
Cited
0
Rank-Efficient LoRA via Joint Tangent-Space Optimization under Isotropic Curvature
2026
Cited
0
A Sieve-Accelerated Quadrature Method for Exact Privacy Accounting in the 2020 U.S. Decennial Census
2026
Cited
0
MARS: Margin-Adversarial Risk-controlled Stopping for Parallel LLM Test-time Scaling
2026
Cited
0
Rejoinder: The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review
2026
Cited
0
CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning
2026
Cited
0
When Does Model Collapse Occur in Structured Interactive Learning?
2026
Cited
0
Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers
2026
Cited
0
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Co-authors
19 total
Emmanuel Candes
The Simons Chair in Mathematics and Statistics, Stanford University
Qi Long
Professor, University of Pennsylvania
Malgorzata Bogdan
Professor of Statistics, University of Wroclaw
Hangfeng He
University of Rochester
Aaron Roth
Professor of Computer Science, University of Pennsylvania
Stephen Boyd
Professor of Electrical Engineering, Computer Science, and Management Science, Stanford
Michael I. Jordan
Professor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley
Zhun Deng
Assistant Professor, Computer Science, UNC Chapel Hill
