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Proceedings of the National Academy of Sciences of the United States of America
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August 28, 2023
A law of data separation in deep learning
Hangfeng He, Weijie J Su
Physical Review. E
|
October 21, 2025
A law of next-token prediction in large language models
Hangfeng He, Weijie J Su
Scientific Reports
|
March 28, 2025
Tackling copyright issues in AI image generation through originality estimation and genericization
Hiroaki Chiba-Okabe, Weijie J Su
Proceedings of the National Academy of Sciences of the United States of America
|
November 5, 2025
The 2020 US Decennial Census is more private than you (might) think
Buxin Su, Weijie J Su, Chendi Wang
Harvard Data Science Review
|
November 30, 2020
Deep Learning with Gaussian Differential Privacy
Zhiqi Bu, Jinshuo Dong, Qi Long, et al.
Journal of Machine Learning Research : JMLR
|
August 6, 2024
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
Shuxiao Chen, Qinqing Zheng, Qi Long, et al.
Proceedings of Machine Learning Research
|
July 22, 2021
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Qinqing Zheng, Jinshuo Dong, Qi Long, et al.
Proceedings of Machine Learning Research
|
August 5, 2021
Federated <i>f</i>-Differential Privacy
Qinqing Zheng, Shuxiao Chen, Qi Long, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
October 22, 2021
Exploring deep neural networks via layer-peeled model: Minority collapse in imbalanced training
Cong Fang, Hangfeng He, Qi Long, et al.
Proceedings of Machine Learning Research
|
August 29, 2024
Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization
Jiancong Xiao, Ruoyu Sun, Qi Long, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
Proceedings of the National Academy of Sciences of the United States of America
|
August 28, 2023
A law of data separation in deep learning
Hangfeng He, Weijie J Su
Physical Review. E
|
October 21, 2025
A law of next-token prediction in large language models
Hangfeng He, Weijie J Su
Scientific Reports
|
March 28, 2025
Tackling copyright issues in AI image generation through originality estimation and genericization
Hiroaki Chiba-Okabe, Weijie J Su
Proceedings of the National Academy of Sciences of the United States of America
|
November 5, 2025
The 2020 US Decennial Census is more private than you (might) think
Buxin Su, Weijie J Su, Chendi Wang
Harvard Data Science Review
|
November 30, 2020
Deep Learning with Gaussian Differential Privacy
Zhiqi Bu, Jinshuo Dong, Qi Long, et al.
Journal of Machine Learning Research : JMLR
|
August 6, 2024
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
Shuxiao Chen, Qinqing Zheng, Qi Long, et al.
Proceedings of Machine Learning Research
|
July 22, 2021
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Qinqing Zheng, Jinshuo Dong, Qi Long, et al.
Proceedings of Machine Learning Research
|
August 5, 2021
Federated <i>f</i>-Differential Privacy
Qinqing Zheng, Shuxiao Chen, Qi Long, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
October 22, 2021
Exploring deep neural networks via layer-peeled model: Minority collapse in imbalanced training
Cong Fang, Hangfeng He, Qi Long, et al.
Proceedings of Machine Learning Research
|
August 29, 2024
Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization
Jiancong Xiao, Ruoyu Sun, Qi Long, et al.
Page
of 2