Jiang Hu

Jiang Hu

Peking University

H-index: 5

Asia-China

About Jiang Hu

Jiang Hu, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Peking University, specializes in the field of Optimization, machine learning.

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

Assessment of valve regurgitation severity via contrastive learning and multi-view video integration

Composite federated learning with heterogeneous data

A dual adaptive algorithm for matrix optimization with sparse group lasso regularization

Oracle complexity of augmented Lagrangian methods for nonsmooth manifold optimization

A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity

AdaFish: Fast low-rank parameter-efficient fine-tuning by using second-order information

Riemannian natural gradient methods

Decentralized Douglas-Rachford splitting methods for smooth optimization over compact submanifolds

Jiang Hu Information

University

Position

___

Citations(all)

289

Citations(since 2020)

282

Cited By

70

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Peking University

Google Scholar

View Google Scholar Profile

Jiang Hu Skills & Research Interests

Optimization

machine learning

Top articles of Jiang Hu

Title

Journal

Author(s)

Publication Date

Assessment of valve regurgitation severity via contrastive learning and multi-view video integration

Physics in Medicine & Biology

Sekeun Kim

Hui Ren

Jerome Charton

Jiang Hu

Carola A Maraboto Gonzalez

...

2024/2/12

Composite federated learning with heterogeneous data

Jiaojiao Zhang

Jiang Hu

Mikael Johansson

2024/4/14

A dual adaptive algorithm for matrix optimization with sparse group lasso regularization

Jinji Yang

Jiang Hu

Chungen Shen

2024/1/2

Oracle complexity of augmented Lagrangian methods for nonsmooth manifold optimization

arXiv preprint arXiv:2404.05121

Kangkang Deng

Jiang Hu

Zaiwen Wen

2024/4/8

A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity

Journal of Machine Learning Research

Jiang Hu

Kangkang Deng

Jiayuan Wu

Quanzheng Li

2024

AdaFish: Fast low-rank parameter-efficient fine-tuning by using second-order information

arXiv preprint arXiv:2403.13128

Jiang Hu

Quanzheng Li

2024/3/19

Riemannian natural gradient methods

SIAM Journal on Scientific Computing

Jiang Hu

Ruicheng Ao

Anthony Man-Cho So

Minghan Yang

Zaiwen Wen

2024/2/29

Decentralized Douglas-Rachford splitting methods for smooth optimization over compact submanifolds

arXiv preprint arXiv:2311.16399

Kangkang Deng

Jiang Hu

Hongxia Wang

2023/11/28

Decentralized weakly convex optimization over the Stiefel manifold

arXiv preprint arXiv:2303.17779

Jinxin Wang

Jiang Hu

Shixiang Chen

Zengde Deng

Anthony Man-Cho So

2023/3/31

Medivista-sam: Zero-shot medical video analysis with spatio-temporal sam adaptation

arXiv preprint arXiv:2309.13539

Sekeun Kim

Kyungsang Kim

Jiang Hu

Cheng Chen

Zhiliang Lyu

...

2023/9/24

Decentralized Riemannian natural gradient methods with Kronecker-product approximations

arXiv preprint arXiv:2303.09611

Jiang Hu

Kangkang Deng

Na Li

Quanzheng Li

2023/3/16

Ma-sam: Modality-agnostic sam adaptation for 3d medical image segmentation

arXiv preprint arXiv:2309.08842

Cheng Chen

Juzheng Miao

Dufan Wu

Zhiling Yan

Sekeun Kim

...

2023/9/16

Radiology-llama2: Best-in-class large language model for radiology

arXiv preprint arXiv:2309.06419

Zhengliang Liu

Yiwei Li

Peng Shu

Aoxiao Zhong

Longtao Yang

...

2023/8/29

An Augmented Lagrangian Primal-Dual Semismooth Newton Method for Multi-Block Composite Optimization

arXiv preprint arXiv:2312.01273

Zhanwang Deng

Kangkang Deng

Jiang Hu

Zaiwen Wen

2023/12/3

Achieving consensus over compact submanifolds

arXiv preprint arXiv:2306.04769

Jiang Hu

Jiaojiao Zhang

Kangkang Deng

2023/6/7

Riemannian Smoothing Gradient Type Algorithms for Nonsmooth Optimization Problem on Compact Riemannian Submanifold Embedded in Euclidean Space

Applied Mathematics & Optimization

Zheng Peng

Weihe Wu

Jiang Hu

Kangkang Deng

2023/12

On the local convergence of the semismooth Newton method for composite optimization

arXiv preprint arXiv:2211.01127

Jiang Hu

Tonghua Tian

Shaohua Pan

Zaiwen Wen

2022/11/2

A brief introduction to manifold optimization

Journal of the Operations Research Society of China

Jiang Hu

Xin Liu

Zai-Wen Wen

Ya-Xiang Yuan

2020/6

See List of Professors in Jiang Hu University(Peking University)

Co-Authors

H-index: 48
Na Li

Na Li

Harvard University

H-index: 46
Lin Lin

Lin Lin

University of California, Berkeley

H-index: 30
Zaiwen Wen

Zaiwen Wen

Peking University

H-index: 27
hongchao Zhang

hongchao Zhang

Louisiana State University

H-index: 8
Bo Jiang  (姜波)

Bo Jiang (姜波)

Nanjing Normal University

academic-engine