Weijie Su

Weijie Su

University of Pennsylvania

H-index: 24

North America-United States

About Weijie Su

Weijie Su, With an exceptional h-index of 24 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of Machine Learning, Differential Privacy, High-Dimensional Statistics, Optimization, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

WildfireGPT: Tailored Large Language Model for Wildfire Analysis

Eliciting Honest Information From Authors Using Sequential Review

Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment

Can AI Be as Creative as Humans?

Provable Multi-Party Reinforcement Learning with Diverse Human Feedback

Shifted Interpolation for Differential Privacy

An Economic Solution to Copyright Challenges of Generative AI

Weijie Su Information

University

Position

Assistant Professor Wharton School and Computer Science Department

Citations(all)

3894

Citations(since 2020)

3306

Cited By

1627

hIndex(all)

24

hIndex(since 2020)

23

i10Index(all)

42

i10Index(since 2020)

40

Email

University Profile Page

University of Pennsylvania

Google Scholar

View Google Scholar Profile

Weijie Su Skills & Research Interests

Machine Learning

Differential Privacy

High-Dimensional Statistics

Optimization

Deep Learning

Top articles of Weijie Su

Title

Journal

Author(s)

Publication Date

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

arXiv preprint arXiv:2404.01245

Xiang Li

Feng Ruan

Huiyuan Wang

Qi Long

Weijie J Su

2024/4/1

WildfireGPT: Tailored Large Language Model for Wildfire Analysis

arXiv preprint arXiv:2402.07877

Yangxinyu Xie

Tanwi Mallick

Joshua David Bergerson

John K Hutchison

Duane R Verner

...

2024/2/12

Eliciting Honest Information From Authors Using Sequential Review

Proceedings of the AAAI Conference on Artificial Intelligence

Yichi Zhang

Grant Schoenebeck

Weijie Su

2024/3/24

Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment

Rachel Cummings

Damien Desfontaines

David Evans

Roxana Geambasu

Yangsibo Huang

...

2024/1/16

Can AI Be as Creative as Humans?

arXiv preprint arXiv:2401.01623

Haonan Wang

James Zou

Michael Mozer

Linjun Zhang

Anirudh Goyal

...

2024/1/3

Provable Multi-Party Reinforcement Learning with Diverse Human Feedback

arXiv preprint arXiv:2403.05006

Huiying Zhong

Zhun Deng

Weijie J Su

Zhiwei Steven Wu

Linjun Zhang

2024/3/8

Shifted Interpolation for Differential Privacy

arXiv preprint arXiv:2403.00278

Jinho Bok

Weijie Su

Jason M Altschuler

2024/3/1

An Economic Solution to Copyright Challenges of Generative AI

arXiv preprint arXiv:2404.13964

Jiachen T Wang

Zhun Deng

Hiroaki Chiba-Okabe

Boaz Barak

Weijie J Su

2024/4/22

DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization

Advances in Neural Information Processing Systems

Hua Wang

Sheng Gao

Huanyu Zhang

Weijie Su

Milan Shen

2024/2/13

An isotonic mechanism for overlapping ownership

arXiv preprint arXiv:2306.11154

Jibang Wu

Haifeng Xu

Yifan Guo

Weijie Su

2023/6/19

On learning rates and Schrödinger operators

Journal of Machine Learning Research

Bin Shi

Weijie Su

Michael I Jordan

2023

The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent

Lei Wu

Weijie J Su

2023/5/27

A power analysis for model-X knockoffs with -regularized statistics

The Annals of Statistics

Asaf Weinstein

Weijie J Su

Małgorzata Bogdan

Rina Foygel Barber

Emmanuel J Candès

2023/6

On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks

Quantum

Yizhou Liu

Weijie J Su

Tongyang Li

2023

Reward collapse in aligning large language models

arXiv preprint arXiv:2305.17608

Ziang Song

Tianle Cai

Jason D Lee

Weijie J Su

2023/5/28

FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data

International Conference on Learning Representations

Zhun Deng

Jiayao Zhang

Linjun Zhang

Ting Ye

Yates Coley

...

2023

The Isotonic Mechanism for Exponential Family Estimation

arXiv preprint arXiv:2304.11160

Yuling Yan

Weijie J Su

Jianqing Fan

2023/4/21

A law of data separation in deep learning

Proceedings of the National Academy of Sciences

Hangfeng He

Weijie J Su

2023/9/5

Higrad: Uncertainty quantification for online learning and stochastic approximation

Journal of Machine Learning Research

Weijie J Su

Yuancheng Zhu

2023

Unified Enhancement of Privacy Bounds for Mixture Mechanisms via -Differential Privacy

Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)

Chendi Wang

Buxin Su

Jiayuan Ye

Reza Shokri

Weijie J Su

2023/10/30

See List of Professors in Weijie Su University(University of Pennsylvania)

Co-Authors

H-index: 203
Michael I. Jordan

Michael I. Jordan

University of California, Berkeley

H-index: 138
Stephen Boyd

Stephen Boyd

Stanford University

H-index: 104
Emmanuel Candes

Emmanuel Candes

Stanford University

H-index: 97
Dan Roth

Dan Roth

University of Pennsylvania

H-index: 64
Chiara Sabatti

Chiara Sabatti

Stanford University

H-index: 56
Aaron Roth

Aaron Roth

University of Pennsylvania

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