Ju Sun

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 52

Top Topics

Natural Language Processing

Convex Optimization

Top Venues

IEEE Trans. Inf. Theory

Publications

Wenjie Zhang, Yuxiang Wan, Zhong Zhuang, Ju Sun
What is Wrong with End-to-End Learning for Phase Retrieval? CoRR (2024)
Hengyue Liang, Le Peng, Ju Sun
Selective Classification Under Distribution Shifts. CoRR (2024)
Hengkang Wang, Han Lu, Ju Sun, Sandra E. Safo
Interpretable deep learning methods for multiview learning. BMC Bioinform. 25 (1) (2024)
Zhong Zhuang, Taihui Li, Hengkang Wang, Ju Sun
Blind Image Deblurring with Unknown Kernel Size and Substantial Noise. Int. J. Comput. Vis. 132 (2) (2024)
Le Peng, Gaoxiang Luo, Sicheng Zhou, Jiandong Chen, Ziyue Xu, Ju Sun, Rui Zhang
An in-depth evaluation of federated learning on biomedical natural language processing for information extraction. npj Digit. Medicine 7 (1) (2024)
Chuan He, Le Peng, Ju Sun
Federated Learning with Convex Global and Local Constraints. Trans. Mach. Learn. Res. 2024 (2024)
Hengkang Wang, Xu Zhang, Taihui Li, Yuxiang Wan, Tiancong Chen, Ju Sun
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models. CoRR (2024)
Xiaole Su, Yuanchao Hu, Wei Liu, Zhipeng Jiang, Chan Qiu, Jie Xiong, Ju Sun
A blockchain-based smart contract model for secured energy trading management in smart microgrids. Secur. Priv. 7 (1) (2024)
Zhong Zhuang, David Yang, Felix Hofmann, David Barmherzig, Ju Sun
Practical phase retrieval using double deep image priors. Computational Imaging (2023)
Yash Travadi, Le Peng, Xuan Bi, Ju Sun, Mochen Yang
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective. CoRR (2023)
Sicheng Zhou, Nan Wang, Liwei Wang, Ju Sun, Anne H. Blaes, Hongfang Liu, Rui Zhang
A Cross-institutional Evaluation on Breast Cancer Phenotyping NLP Algorithms on Electronic Health Records. CoRR (2023)
Hengyue Liang, Buyun Liang, Le Peng, Ying Cui, Tim Mitchell, Ju Sun
Optimization and Optimizers for Adversarial Robustness. CoRR (2023)
Bhargav Joshi, Taihui Li, Buyun Liang, Roger Rusack, Ju Sun
Predicting the Future of the CMS Detector: Crystal Radiation Damage and Machine Learning at the LHC. CoRR (2023)
Le Peng, Sicheng Zhou, Jiandong Chen, Rui Zhang, Ziyue Xu, Ju Sun
A Systematic Evaluation of Federated Learning on Biomedical Natural Language Processing. CoRR (2023)
Hengkang Wang, Han Lu, Ju Sun, Sandra E. Safo
Interpretable Deep Learning Methods for Multiview Learning. CoRR (2023)
Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun
Early Stopping for Deep Image Prior. Trans. Mach. Learn. Res. 2023 (2023)
Taihui Li, Hengkang Wang, Zhong Zhuang, Ju Sun
Deep Random Projector: Accelerated Deep Image Prior. CVPR (2023)
Hengyue Liang, Buyun Liang, Ju Sun, Ying Cui, Tim Mitchell
Implications of Solution Patterns on Adversarial Robustness. CVPR Workshops (2023)
Chuan He, Le Peng, Ju Sun
A proximal augmented Lagrangian based algorithm for federated learning with global and local convex conic constraints. CoRR (2023)
Taihui Li, Hengkang Wang, Le Peng, XianE Tang, Ju Sun
Robust Autoencoders for Collective Corruption Removal. CoRR (2023)
Le Peng, Hengyue Liang, Gaoxiang Luo, Taihui Li, Ju Sun
Rethinking Transfer Learning for Medical Image Classification. BMVC (2023)
Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, Ju Sun
Optimization for Robustness Evaluation Beyond ℓp Metrics. ICASSP (2023)
Taihui Li, Zhong Zhuang, Hengkang Wang, Ju Sun
Random Projector: Efficient Deep Image Prior. ICASSP (2023)
Yash Travadi, Le Peng, Ying Cui, Ju Sun
Direct Metric Optimization for Imbalanced Classification. ICHI (2023)
Taihui Li, Hengkang Wang, Le Peng, Xian'e Tang, Ju Sun
Robust Autoencoders for Collective Corruption Removal. ICASSP (2023)
Le Peng, Yash Travadi, Rui Zhang, Ying Cui, Ju Sun
Imbalanced Classification in Medical Imaging via Regrouping. CoRR (2022)
Zhong Zhuang, David Yang, Felix Hofmann, David Barmherzig, Ju Sun
Practical Phase Retrieval Using Double Deep Image Priors. CoRR (2022)
Zhong Zhuang, Taihui Li, Hengkang Wang, Ju Sun
Blind Image Deblurring with Unknown Kernel Size and Substantial Noise. CoRR (2022)
Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, Ju Sun
Metrics. CoRR (2022)
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
Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals. J. Am. Medical Informatics Assoc. 30 (1) (2022)
Buyun Liang, Tim Mitchell, Ju Sun
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning. CoRR (2022)
David A. Barmherzig, Ju Sun
Towards Low-Photon Nanoscale Imaging: Holographic Phase Retrieval via Maximum Likelihood Optimization. CoRR (2021)
Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun
Early Stopping for Deep Image Prior. CoRR (2021)
Taihui Li, Zhong Zhuang, Hengyue Liang, Le Peng, Hengkang Wang, Ju Sun
Self-Validation: Early Stopping for Single-Instance Deep Generative Priors. CoRR (2021)
Le Peng, Hengyue Liang, Taihui Li, Ju Sun
Rethink Transfer Learning in Medical Image Classification. CoRR (2021)
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
A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals. CoRR (2021)
Taihui Li, Zhong Zhuang, Hengyue Liang, Le Peng, Hengkang Wang, Ju Sun
Self-Validation: Early Stopping for Single-Instance Deep Generative Priors. BMVC (2021)
Kshitij Tayal, Raunak Manekar, Zhong Zhuang, David Yang, Vipin Kumar, Felix Hofmann, Ju Sun
Phase Retrieval using Single-Instance Deep Generative Prior. CoRR (2021)
Buyun Liang, Ju Sun
NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning. CoRR (2021)
Kshitij Tayal, Chieh-Hsin Lai, Vipin Kumar, Ju Sun
Inverse Problems, Deep Learning, and Symmetry Breaking. CoRR (2020)
Yu Bai, Qijia Jiang, Ju Sun
Subgradient Descent Learns Orthogonal Dictionaries. ICLR (Poster) (2019)
David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T. J. Lane, Po-Nan Li
Dual-Reference Design for Holographic Coherent Diffraction Imaging. CoRR (2019)
David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T. J. Lane, Po-Nan Li
Holographic Phase Retrieval and Optimal Reference Design. CoRR (2019)
Sky Cheung, John Y. Shin, Yenson Lau, Zhengyu Chen, Ju Sun, Yuqian Zhang, John Wright, Abhay Pasupathy
Dictionary Learning in Fourier Transform Scanning Tunneling Spectroscopy. CoRR (2018)
Ju Sun, Qing Qu, John Wright
A Geometric Analysis of Phase Retrieval. Found. Comput. Math. 18 (5) (2018)
Yu Bai, Qijia Jiang, Ju Sun
Subgradient Descent Learns Orthogonal Dictionaries. CoRR (2018)
Ju Sun, Qing Qu, John Wright
Complete Dictionary Recovery Over the Sphere II: Recovery by Riemannian Trust-Region Method. IEEE Trans. Inf. Theory 63 (2) (2017)
David Barmherzig, Ju Sun
A Local Analysis of Block Coordinate Descent for Gaussian Phase Retrieval. CoRR (2017)
Ju Sun, Qing Qu, John Wright
Complete Dictionary Recovery Over the Sphere I: Overview and the Geometric Picture. IEEE Trans. Inf. Theory 63 (2) (2017)
Qing Qu, Ju Sun, John Wright
Finding a Sparse Vector in a Subspace: Linear Sparsity Using Alternating Directions. IEEE Trans. Inf. Theory 62 (10) (2016)
Ju Sun, Qing Qu, John Wright
A geometric analysis of phase retrieval. ISIT (2016)
Ju Sun, Qing Qu, John Wright
A Geometric Analysis of Phase Retrieval. CoRR (2016)
Ju Sun, Qing Qu, John Wright
Complete Dictionary Recovery over the Sphere. CoRR (2015)
Ju Sun, Qing Qu, John Wright
Complete Dictionary Recovery Using Nonconvex Optimization. ICML (2015)
Ju Sun, Qing Qu, John Wright
Complete Dictionary Recovery over the Sphere I: Overview and the Geometric Picture. CoRR (2015)
Ju Sun, Qing Qu, John Wright
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method. CoRR (2015)
Ju Sun, Qing Qu, John Wright
When Are Nonconvex Problems Not Scary? CoRR (2015)
Qing Qu, Ju Sun, John Wright
Finding a sparse vector in a subspace: Linear sparsity using alternating directions. CoRR (2014)
Ju Sun, Yuqian Zhang, John Wright
with Application to Robust Object Instance Recognition. SIAM J. Imaging Sci. 7 (4) (2014)
Qing Qu, Ju Sun, John Wright
Finding a sparse vector in a subspace: Linear sparsity using alternating directions. NIPS (2014)
Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma
Robust Recovery of Subspace Structures by Low-Rank Representation. IEEE Trans. Pattern Anal. Mach. Intell. 35 (1) (2013)
Ju Sun, Yuqian Zhang, John Wright
: Theory and Applications in Computer Vision CoRR (2012)
Ju Sun, Yuqian Zhang, John Wright
Efficient Point-to-Subspace Query in ℓ1 with Application to Robust Face Recognition. ECCV (4) (2012)
Ju Sun, Yuqian Zhang, John Wright
with Application to Robust Face Recognition CoRR (2012)
Yuzhao Ni, Ju Sun, Xiaotong Yuan, Shuicheng Yan, Loong Fah Cheong
Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees CoRR (2010)
Yadong Mu, Ju Sun, Tony X. Han, Loong Fah Cheong, Shuicheng Yan
Randomized Locality Sensitive Vocabularies for Bag-of-Features Model. ECCV (3) (2010)
Yuzhao Ni, Ju Sun, Xiaotong Yuan, Shuicheng Yan, Loong Fah Cheong
Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees. ICDM Workshops (2010)
Ju Sun, Yadong Mu, Shuicheng Yan, Loong Fah Cheong
Activity recognition using dense long-duration trajectories. ICME (2010)
Guangcan Liu, Ju Sun, Shuicheng Yan
Closed-Form Solutions to A Category of Nuclear Norm Minimization Problems CoRR (2010)
Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma
Robust Recovery of Subspace Structures by Low-Rank Representation CoRR (2010)
Ju Sun, Qiang Chen, Shuicheng Yan, Loong Fah Cheong
Selective Image Super-Resolution CoRR (2010)
Ju Sun, Xiao Wu, Shuicheng Yan, Loong Fah Cheong, Tat-Seng Chua, Jintao Li
Hierarchical spatio-temporal context modeling for action recognition. CVPR (2009)
Ching Lik Teo, Shimiao Li, Loong Fah Cheong, Ju Sun
3D ordinal constraint in spatial configuration for robust scene recognition. ICPR (2008)