Ju Sun

According to our database, Ju Sun authored at least 60 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Interpretable deep learning methods for multiview learning.

Hengkang Wang, Han Lu, Ju Sun, Sandra E. Safo

BMC Bioinform., December, 2024

A Unified Analysis of AdaGrad With Weighted Aggregation and Momentum Acceleration.

Li Shen, Congliang Chen, Fangyu Zou, Zequn Jie, Ju Sun, Wei Liu

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Blind Image Deblurring with Unknown Kernel Size and Substantial Noise.

Zhong Zhuang, Taihui Li, Hengkang Wang, Ju Sun

Int. J. Comput. Vis., February, 2024

Federated Learning with Convex Global and Local Constraints.

Chuan He, Le Peng, Ju Sun

Trans. Mach. Learn. Res., 2024

A blockchain-based smart contract model for secured energy trading management in smart microgrids.

Xiaole Su, Yuanchao Hu, Wei Liu, Zhipeng Jiang, Chan Qiu, Jie Xiong, Ju Sun

Secur. Priv., 2024

An in-depth evaluation of federated learning on biomedical natural language processing for information extraction.

Le Peng, Gaoxiang Luo, Sicheng Zhou, Jiandong Chen, Ziyue Xu, Ju Sun, Rui Zhang

npj Digit. Medicine, 2024

DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models.

Hengkang Wang, Xu Zhang, Taihui Li, Yuxiang Wan, Tiancong Chen, Ju Sun

CoRR, 2024

Selective Classification Under Distribution Shifts.

Hengyue Liang, Le Peng, Ju Sun

CoRR, 2024

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

Wenjie Zhang, Yuxiang Wan, Zhong Zhuang, Ju Sun

CoRR, 2024

2023

Early Stopping for Deep Image Prior.

Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun

Trans. Mach. Learn. Res., 2023

A proximal augmented Lagrangian based algorithm for federated learning with global and local convex conic constraints.

Chuan He, Le Peng, Ju Sun

CoRR, 2023

A Systematic Evaluation of Federated Learning on Biomedical Natural Language Processing.

Le Peng, Sicheng Zhou, Jiandong Chen, Rui Zhang, Ziyue Xu, Ju Sun

CoRR, 2023

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

Bhargav Joshi, Taihui Li, Buyun Liang, Roger Rusack, Ju Sun

CoRR, 2023

Optimization and Optimizers for Adversarial Robustness.

Hengyue Liang, Buyun Liang, Le Peng, Ying Cui, Tim Mitchell, Ju Sun

CoRR, 2023

A Cross-institutional Evaluation on Breast Cancer Phenotyping NLP Algorithms on Electronic Health Records.

Sicheng Zhou, Nan Wang, Liwei Wang, Ju Sun, Anne H. Blaes, Hongfang Liu, Rui Zhang

CoRR, 2023

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

Yash Travadi, Le Peng, Xuan Bi, Ju Sun, Mochen Yang

CoRR, 2023

Direct Metric Optimization for Imbalanced Classification.

Yash Travadi, Le Peng, Ying Cui, Ju Sun

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Optimization for Robustness Evaluation Beyond ℓp Metrics.

Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, Ju Sun

Proceedings of the IEEE International Conference on Acoustics, 2023

Random Projector: Efficient Deep Image Prior.

Taihui Li, Zhong Zhuang, Hengkang Wang, Ju Sun

Proceedings of the IEEE International Conference on Acoustics, 2023

Robust Autoencoders for Collective Corruption Removal.

Taihui Li, Hengkang Wang, Le Peng, Xian'e Tang, Ju Sun

Proceedings of the IEEE International Conference on Acoustics, 2023

Implications of Solution Patterns on Adversarial Robustness.

Hengyue Liang, Buyun Liang, Ju Sun, Ying Cui, Tim Mitchell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Deep Random Projector: Accelerated Deep Image Prior.

Taihui Li, Hengkang Wang, Zhong Zhuang, Ju Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Practical phase retrieval using double deep image priors.

Zhong Zhuang, David Yang, Felix Hofmann, David Barmherzig, Ju Sun

Proceedings of the Computational Imaging XXI, San Francisco, 2023

Rethinking Transfer Learning for Medical Image Classification.

Le Peng, Hengyue Liang, Gaoxiang Luo, Taihui Li, Ju Sun

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

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

Le Peng, Gaoxiang Luo, Andrew Walker, Zachary Zaiman, Emma K. Jones, Hemant Gupta, Kristopher Kersten, John L. Burns, Christopher A. Harle, Tanja Magoc, Benjamin Shickel, Scott D. Steenburg, Tyler J. Loftus, Genevieve B. Melton, Judy Wawira Gichoya, Ju Sun, Christopher J. Tignanelli

J. Am. Medical Informatics Assoc., 2022

Imbalanced Classification in Medical Imaging via Regrouping.

Le Peng, Yash Travadi, Rui Zhang, Ying Cui, Ju Sun

CoRR, 2022

NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning.

Buyun Liang, Tim Mitchell, Ju Sun

CoRR, 2022

Optimization for Robustness Evaluation beyond 𝓁_p Metrics.

Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, Ju Sun

CoRR, 2022

2021

NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning.

Buyun Liang, Ju Sun

CoRR, 2021

Rethink Transfer Learning in Medical Image Classification.

Le Peng, Hengyue Liang, Taihui Li, Ju Sun

CoRR, 2021

Phase Retrieval using Single-Instance Deep Generative Prior.

Kshitij Tayal, Raunak Manekar, Zhong Zhuang, David Yang, Vipin Kumar, Felix Hofmann, Ju Sun

CoRR, 2021

A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals.

Ju Sun, Le Peng, Taihui Li, Dyah Adila, Zach Zaiman, Genevieve B. Melton, Nicholas Ingraham, Eric Murray, Daniel Boley, Sean Switzer, John L. Burns, Kun Huang, Tadashi Allen, Scott D. Steenburg, Judy Wawira Gichoya, Erich Kummerfeld, Christopher J. Tignanelli

CoRR, 2021

Towards Low-Photon Nanoscale Imaging: Holographic Phase Retrieval via Maximum Likelihood Optimization.

David A. Barmherzig, Ju Sun

CoRR, 2021

Self-Validation: Early Stopping for Single-Instance Deep Generative Priors.

Taihui Li, Zhong Zhuang, Hengyue Liang, Le Peng, Hengkang Wang, Ju Sun

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Inverse Problems, Deep Learning, and Symmetry Breaking.

Kshitij Tayal, Chieh-Hsin Lai, Vipin Kumar, Ju Sun

CoRR, 2020

2019

Dual-Reference Design for Holographic Coherent Diffraction Imaging.

David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T. J. Lane, Po-Nan Li

CoRR, 2019

Holographic Phase Retrieval and Optimal Reference Design.

David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T. J. Lane, Po-Nan Li

CoRR, 2019

Subgradient Descent Learns Orthogonal Dictionaries.

Yu Bai, Qijia Jiang, Ju Sun

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

A Geometric Analysis of Phase Retrieval.

Ju Sun, Qing Qu, John Wright

Found. Comput. Math., 2018

Dictionary Learning in Fourier Transform Scanning Tunneling Spectroscopy.

Sky Cheung, John Y. Shin, Yenson Lau, Zhengyu Chen, Ju Sun, Yuqian Zhang, John Wright, Abhay Pasupathy

CoRR, 2018

2017

Complete Dictionary Recovery Over the Sphere II: Recovery by Riemannian Trust-Region Method.

Ju Sun, Qing Qu, John Wright

IEEE Trans. Inf. Theory, 2017

Complete Dictionary Recovery Over the Sphere I: Overview and the Geometric Picture.

Ju Sun, Qing Qu, John Wright

IEEE Trans. Inf. Theory, 2017

A Local Analysis of Block Coordinate Descent for Gaussian Phase Retrieval.

David Barmherzig, Ju Sun

CoRR, 2017

2016

When Are Nonconvex Optimization Problems Not Scary?

Ju Sun

PhD thesis, 2016

Finding a Sparse Vector in a Subspace: Linear Sparsity Using Alternating Directions.

Qing Qu, Ju Sun, John Wright

IEEE Trans. Inf. Theory, 2016

2015

When Are Nonconvex Problems Not Scary?

Ju Sun, Qing Qu, John Wright

CoRR, 2015

Complete Dictionary Recovery over the Sphere.

Ju Sun, Qing Qu, John Wright

CoRR, 2015

Complete Dictionary Recovery Using Nonconvex Optimization.

Ju Sun, Qing Qu, John Wright

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Efficient Point-to-Subspace Query in ℓ¹ with Application to Robust Object Instance Recognition.

Ju Sun, Yuqian Zhang, John Wright

SIAM J. Imaging Sci., 2014

2013

Robust Recovery of Subspace Structures by Low-Rank Representation.

Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma

IEEE Trans. Pattern Anal. Mach. Intell., 2013

2012

Efficient Point-to-Subspace Query in ℓ¹: Theory and Applications in Computer Vision

Ju Sun, Yuqian Zhang, John Wright

CoRR, 2012

Efficient Point-to-Subspace Query in ℓ¹ with Application to Robust Face Recognition

Ju Sun, Yuqian Zhang, John Wright

CoRR, 2012

Efficient Point-to-Subspace Query in ℓ1 with Application to Robust Face Recognition.

Ju Sun, Yuqian Zhang, John Wright

Proceedings of the Computer Vision - ECCV 2012, 2012

2010

Closed-Form Solutions to A Category of Nuclear Norm Minimization Problems

Guangcan Liu, Ju Sun, Shuicheng Yan

CoRR, 2010

Selective Image Super-Resolution

Ju Sun, Qiang Chen, Shuicheng Yan, Loong Fah Cheong

CoRR, 2010

Activity recognition using dense long-duration trajectories.

Ju Sun, Yadong Mu, Shuicheng Yan, Loong Fah Cheong

Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010

Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees.

Yuzhao Ni, Ju Sun, Xiaotong Yuan, Shuicheng Yan, Loong Fah Cheong

Proceedings of the ICDMW 2010, 2010

Randomized Locality Sensitive Vocabularies for Bag-of-Features Model.

Yadong Mu, Ju Sun, Tony X. Han, Loong Fah Cheong, Shuicheng Yan

Proceedings of the Computer Vision, 2010

2009

Hierarchical spatio-temporal context modeling for action recognition.

Ju Sun, Xiao Wu, Shuicheng Yan, Loong Fah Cheong, Tat-Seng Chua, Jintao Li

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

3D ordinal constraint in spatial configuration for robust scene recognition.

Ching Lik Teo, Shimiao Li, Loong Fah Cheong, Ju Sun

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008