Feihu Huang

Feihu Huang

University of Pittsburgh

H-index: 16

North America-United States

About Feihu Huang

Feihu Huang, With an exceptional h-index of 16 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Pittsburgh, specializes in the field of Machine Learning, Optimization.

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

Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems

Adaptive Federated Minimax Optimization with Lower complexities

FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization

Adagda: Faster adaptive gradient descent ascent methods for minimax optimization

Near-optimal decentralized momentum method for nonconvex-pl minimax problems

Gradient Descent Ascent for Minimax Problems on Riemannian Manifolds

On momentum-based gradient methods for bilevel optimization with nonconvex lower-level

Enhanced adaptive gradient algorithms for nonconvex-PL minimax optimization

Feihu Huang Information

University

Position

Postdoctoral Researcher

Citations(all)

736

Citations(since 2020)

723

Cited By

105

hIndex(all)

16

hIndex(since 2020)

15

i10Index(all)

26

i10Index(since 2020)

26

Email

University Profile Page

University of Pittsburgh

Google Scholar

View Google Scholar Profile

Feihu Huang Skills & Research Interests

Machine Learning

Optimization

Top articles of Feihu Huang

Title

Journal

Author(s)

Publication Date

Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems

Junyi Li

Feihu Huang

Heng Huang

2023/11/2

Adaptive Federated Minimax Optimization with Lower complexities

AISTATS 2024

Feihu Huang

2024/1/20

FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization

Junyi Li

Feihu Huang

Heng Huang

2024/3/7

Adagda: Faster adaptive gradient descent ascent methods for minimax optimization

AISTATS 2023

Feihu Huang

Xidong Wu

Zhengmian Hu

2023

Near-optimal decentralized momentum method for nonconvex-pl minimax problems

arXiv preprint arXiv:2304.10902

Feihu Huang

Songcan Chen

2023/4/21

Gradient Descent Ascent for Minimax Problems on Riemannian Manifolds

IEEE Transactions on Pattern Analysis and Machine Intelligence

Feihu Huang

Shangqian Gao

2023/1/4

On momentum-based gradient methods for bilevel optimization with nonconvex lower-level

arXiv preprint arXiv:2303.03944

Feihu Huang

2023/3/7

Enhanced adaptive gradient algorithms for nonconvex-PL minimax optimization

arXiv preprint arXiv:2303.03984

Feihu Huang

2023/3/7

Nonconvex zeroth-order stochastic admm methods with lower function query complexity

arXiv preprint arXiv:1907.13463

Feihu Huang

Shangqian Gao

Jian Pei

Heng Huang

2019/7/30

Faster Adaptive Federated Learning

AAAI 2023

Xidong Wu

Feihu Huang

Zhengmian Hu

Heng Huang

2023/1/2

Adaptive Mirror Descent Bilevel Optimization

arXiv preprint arXiv:2311.04520

Feihu Huang

2023/11/8

Structural Alignment for Network Pruning through Partial Regularization

Shangqian Gao

Zeyu Zhang

Yanfu Zhang

Feihu Huang

Heng Huang

2023

Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations

Wenhan Xian

Feihu Huang

Heng Huang

2023/10/13

Enhanced bilevel optimization via bregman distance

Advances in Neural Information Processing Systems

Feihu Huang

Junyi Li

Shangqian Gao

Heng Huang

2022/12/6

Disentangled differentiable network pruning

Shangqian Gao

Feihu Huang

Yanfu Zhang

Heng Huang

2022/10/23

Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization

Journal of Machine Learning Research

Feihu Huang

Shangqian Gao

Jian Pei

Heng Huang

2022

Communication-Efficient Adam-Type Algorithms for Distributed Data Mining

ICDM 2022

Wenhan Xian

Feihu Huang

Heng Huang

2022/10/14

Riemannian gradient methods for stochastic composition problems

Neural Networks

Feihu Huang

Shangqian Gao

2022/9/1

Fast stochastic recursive momentum methods for imbalanced data mining

Xidong Wu

Feihu Huang

Heng Huang

2022/11/28

Local stochastic bilevel optimization with momentum-based variance reduction

arXiv preprint arXiv:2205.01608

Junyi Li

Feihu Huang

Heng Huang

2022/5/3

See List of Professors in Feihu Huang University(University of Pittsburgh)

Co-Authors

H-index: 110
Jian Pei

Jian Pei

Simon Fraser University

H-index: 64
Songcan Chen

Songcan Chen

Nanjing University of Aeronautics and Astronautics

H-index: 13
Shangqian Gao

Shangqian Gao

University of Pittsburgh

H-index: 10
Junyi Li

Junyi Li

University of Pittsburgh

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