Zebang Shen 沈泽邦

Zebang Shen 沈泽邦

University of Pennsylvania

H-index: 13

North America-United States

About Zebang Shen 沈泽邦

Zebang Shen 沈泽邦, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of PDE, Optimal Transport, Optimization, Machine Learning.

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

Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs

Share your representation only: Guaranteed improvement of the privacy-utility tradeoff in federated learning

CDMA: a practical cross-device federated learning algorithm for general minimax problems

From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs

Straggler-resilient personalized federated learning

Self-Consistency of the Fokker-Planck Equation

Federated functional gradient boosting

An agnostic approach to federated learning with class imbalance

Zebang Shen 沈泽邦 Information

University

Position

___

Citations(all)

588

Citations(since 2020)

563

Cited By

213

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

18

i10Index(since 2020)

17

Email

University Profile Page

University of Pennsylvania

Google Scholar

View Google Scholar Profile

Zebang Shen 沈泽邦 Skills & Research Interests

PDE

Optimal Transport

Optimization

Machine Learning

Top articles of Zebang Shen 沈泽邦

Title

Journal

Author(s)

Publication Date

Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs

Zebang Shen

Zhenfu Wang

2023/2

Share your representation only: Guaranteed improvement of the privacy-utility tradeoff in federated learning

Zebang Shen

Jiayuan Ye

Anmin Kang

Hamed Hassani

Reza Shokri

2023/2/1

CDMA: a practical cross-device federated learning algorithm for general minimax problems

Proceedings of the AAAI Conference on Artificial Intelligence

Jiahao Xie

Chao Zhang

Zebang Shen

Weijie Liu

Hui Qian

2023/6/26

From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs

Proceedings of the AAAI Conference on Artificial Intelligence

Weijie Liu

Hui Qian

Chao Zhang

Jiahao Xie

Zebang Shen

...

2022/6/28

Straggler-resilient personalized federated learning

arXiv preprint arXiv:2206.02078

Isidoros Tziotis

Zebang Shen

Ramtin Pedarsani

Hamed Hassani

Aryan Mokhtari

2022/6/5

Self-Consistency of the Fokker-Planck Equation

Zebang Shen

Zhenfu Wang

Satyen Kale

Alejandro Ribeiro

Amin Karbasi

...

2022/6

Federated functional gradient boosting

Zebang Shen

Hamed Hassani

Satyen Kale

Amin Karbasi

2022/5/3

An agnostic approach to federated learning with class imbalance

Zebang Shen

Juan Cervino

Hamed Hassani

Alejandro Ribeiro

2021/10/6

A hybrid stochastic gradient hamiltonian monte carlo method

Proceedings of the AAAI Conference on Artificial Intelligence

Chao Zhang

Zhijian Li

Zebang Shen

Jiahao Xie

Hui Qian

2021/5/18

Efficient cross-device federated learning algorithms for minimax problems

arXiv preprint arXiv:2105.14216

Jiahao Xie

Chao Zhang

Zebang Shen

Weijie Liu

Hui Qian

2021

Accelerating Stratified Sampling SGD by Reconstructing Strata.

Weijie Liu

Hui Qian

Chao Zhang

Zebang Shen

Jiahao Xie

...

2021/1/7

One sample stochastic frank-wolfe

Mingrui Zhang

Zebang Shen

Aryan Mokhtari

Hamed Hassani

Amin Karbasi

2020/6/3

Aggregated Gradient Langevin Dynamics

Proceedings of the AAAI Conference on Artificial Intelligence

Chao Zhang

Jiahao Xie

Zebang Shen

Peilin Zhao

Tengfei Zhou

...

2020/4/3

Efficient projection-free online methods with stochastic recursive gradient

Proceedings of the AAAI Conference on Artificial Intelligence

Jiahao Xie

Zebang Shen

Chao Zhang

Boyu Wang

Hui Qian

2020/4/3

Stochastic conditional gradient++:(non) convex minimization and continuous submodular maximization

SIAM Journal on Optimization

Hamed Hassani

Amin Karbasi

Aryan Mokhtari

Zebang Shen

2020

Sinkhorn barycenter via functional gradient descent

Advances in Neural Information Processing Systems

Zebang Shen

Zhenfu Wang

Alejandro Ribeiro

Hamed Hassani

2020

Sinkhorn natural gradient for generative models

Advances in Neural Information Processing Systems

Zebang Shen

Zhenfu Wang

Alejandro Ribeiro

Hamed Hassani

2020

Safe learning under uncertain objectives and constraints

arXiv preprint arXiv:2006.13326

Mohammad Fereydounian

Zebang Shen

Aryan Mokhtari

Amin Karbasi

Hamed Hassani

2020/6/23

See List of Professors in Zebang Shen 沈泽邦 University(University of Pennsylvania)

Co-Authors

H-index: 71
Alejandro Ribeiro

Alejandro Ribeiro

University of Pennsylvania

H-index: 43
Hamed Hassani

Hamed Hassani

University of Pennsylvania

H-index: 16
Hui Qian

Hui Qian

Zhejiang University

H-index: 9
Zhenfu Wang

Zhenfu Wang

Peking University

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