Publications by authors named "Weijie J Su"

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The 2020 US Decennial Census is more private than you (might) think.
Buxin Su, Weijie J Su, Chendi Wang

Proc Natl Acad Sci U S A· November 2025

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A law of next-token prediction in large language models.
Hangfeng He, Weijie J Su

Phys Rev E· September 2025

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Tackling copyright issues in AI image generation through originality estimation and genericization.
Hiroaki Chiba-Okabe, Weijie J Su

Sci Rep· March 2025

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A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules.
Xiang Li, Feng Ruan, Huiyuan Wang, Qi Long, Weijie J Su

Ann Stat· February 2025

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Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization.
Jiancong Xiao, Ruoyu Sun, Qi Long, Weijie J Su

Proc Mach Learn Res· January 2024

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A law of data separation in deep learning.
Hangfeng He, Weijie J Su

Proc Natl Acad Sci U S A· September 2023

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Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
Shuxiao Chen, Qinqing Zheng, Qi Long, Weijie J Su

J Mach Learn Res· January 2023

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DETECTING MULTIPLE REPLICATING SIGNALS USING ADAPTIVE FILTERING PROCEDURES.
Jingshu Wang, Lin Gui, Weijie J Su, Chiara Sabatti, Art B Owen

Ann Stat· August 2022

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Exploring deep neural networks via layer-peeled model: Minority collapse in imbalanced training.
Cong Fang, Hangfeng He, Qi Long, Weijie J Su

Proc Natl Acad Sci U S A· October 2021

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Federated -Differential Privacy.
Qinqing Zheng, Shuxiao Chen, Qi Long, Weijie J Su

Proc Mach Learn Res· April 2021

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Deep Learning with Gaussian Differential Privacy.
Zhiqi Bu, Jinshuo Dong, Qi Long, Weijie J Su

Harv Data Sci Rev· September 2020

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Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion.
Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J Su

Proc Mach Learn Res· July 2020

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