Ju Sun

Ju Sun

University of Minnesota-Twin Cities

H-index: 18

North America-United States

About Ju Sun

Ju Sun, With an exceptional h-index of 18 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Minnesota-Twin Cities, specializes in the field of machine learning, computer vision, numerical optimization, AI for healthcare, AI for science.

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

Federated Learning with Convex Global and Local Constraints

Interpretable deep learning methods for multiview learning

What is Wrong with End-to-End Learning for Phase Retrieval?

Blind image deblurring with unknown kernel size and substantial noise

Automated Quantification of Eye Tics Using Computer Vision and Deep Learning Techniques

Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals

Optimization and Optimizers for Adversarial Robustness

Direct Metric Optimization for Imbalanced Classification

Ju Sun Information

University

Position

Assistant Professor Computer Science & Engineering

Citations(all)

6163

Citations(since 2020)

3564

Cited By

4309

hIndex(all)

18

hIndex(since 2020)

15

i10Index(all)

25

i10Index(since 2020)

23

Email

University Profile Page

University of Minnesota-Twin Cities

Google Scholar

View Google Scholar Profile

Ju Sun Skills & Research Interests

machine learning

computer vision

numerical optimization

AI for healthcare

AI for science

Top articles of Ju Sun

Title

Journal

Author(s)

Publication Date

Federated Learning with Convex Global and Local Constraints

Chuan He

Le Peng

Ju Sun

2023/12/13

Interpretable deep learning methods for multiview learning

BMC bioinformatics

Hengkang Wang

Han Lu

Ju Sun

Sandra E Safo

2024/12

What is Wrong with End-to-End Learning for Phase Retrieval?

arXiv preprint arXiv:2403.15448

Wenjie Zhang

Yuxiang Wan

Zhong Zhuang

Ju Sun

2024/3/18

Blind image deblurring with unknown kernel size and substantial noise

International Journal of Computer Vision

Zhong Zhuang

Taihui Li

Hengkang Wang

Ju Sun

2024/2

Automated Quantification of Eye Tics Using Computer Vision and Deep Learning Techniques

Movement Disorders

Christine Conelea

Hengyue Liang

Megan DuBois

Brittany Raab

Mia Kellman

...

2024/1

Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals

Journal of the American Medical Informatics Association

Le Peng

Gaoxiang Luo

Andrew Walker

Zachary Zaiman

Emma K Jones

...

2023/1/1

Optimization and Optimizers for Adversarial Robustness

arXiv preprint arXiv:2303.13401

Hengyue Liang

Buyun Liang

Le Peng

Ying Cui

Tim Mitchell

...

2023/3/23

Direct Metric Optimization for Imbalanced Classification

Yash Travadi

Le Peng

Ying Cui

Ju Sun

2023/6/26

Early Stopping for Deep Image Prior

arXiv preprint arXiv:2112.06074

Hengkang Wang

Taihui Li

Zhong Zhuang

Tiancong Chen

Hengyue Liang

...

2021/12/11

Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective

arXiv preprint arXiv:2302.08976

Yash Travadi

Le Peng

Xuan Bi

Ju Sun

Mochen Yang

2023/2/17

A Unified Analysis of AdaGrad With Weighted Aggregation and Momentum Acceleration

IEEE Transactions on Neural Networks and Learning Systems

Li Shen

Congliang Chen

Fangyu Zou

Zequn Jie

Ju Sun

...

2023/6/13

Phase Retrieval Using Double Deep Image Priors

Zhong Zhuang

David Yang

David Barmherzig

Ju Sun

2023/11/3

Deep Random Projector: Accelerated Deep Image Prior

Taihui Li

Hengkang Wang

Zhong Zhuang

Ju Sun

2023

Random Projector: Efficient Deep Image Prior

Taihui Li

Zhong Zhuang

Hengkang Wang

Ju Sun

2023/6/4

Effects of personalized exercise prescriptions and social media delivered through mobile health on cancer survivors’ physical activity and quality of life

Journal of Sport and Health Science

Zan Gao

Suryeon Ryu

Wanjiang Zhou

Kaitlyn Adams

Mohamed Hassan

...

2023/11/1

Implications of solution patterns on adversarial robustness

The 3rd Workshop of Adversarial Machine Learning on Computer Vision: Art of Robustness (in conjunction with CVPR 2023)

Hengyue Liang

Buyun Liang

Ju Sun

Ying Cui

Tim Mitchell

2023

Robust Autoencoders for Collective Corruption Removal

Taihui Li

Hengkang Wang

Le Peng

Ju Sun

2023/6/4

Mining latent labels for imbalance classification: a regrouping perspective

Yash Travadi

Le Peng

Ying Cui

Rui Zhang

Ju Sun

2023/10/13

A cross-institutional evaluation on breast cancer phenotyping NLP algorithms on electronic health records

Computational and Structural Biotechnology Journal

Sicheng Zhou

Nan Wang

Liwei Wang

Ju Sun

Anne Blaes

...

2023/8/22

Predicting the Future of the CMS Detector: Crystal Radiation Damage and Machine Learning at the LHC

arXiv preprint arXiv:2303.15291

Bhargav Joshi

Taihui Li

Buyun Liang

Roger Rusack

Ju Sun

2023/3/23

See List of Professors in Ju Sun University(University of Minnesota-Twin Cities)

Co-Authors

H-index: 137
Vipin Kumar

Vipin Kumar

University of Minnesota-Twin Cities

H-index: 117
Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

H-index: 86
Yong Yu (俞勇)

Yong Yu (俞勇)

Shanghai Jiao Tong University

H-index: 82
Yi Ma (马毅)

Yi Ma (马毅)

University of California, Berkeley

H-index: 76
Zhouchen Lin

Zhouchen Lin

Peking University

H-index: 49
John Wright

John Wright

Columbia University in the City of New York

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