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Ju Sun
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2020 – today
- 2024
- [j14]Hengkang Wang, Han Lu, Ju Sun
, Sandra E. Safo
Interpretable deep learning methods for multiview learning. BMC Bioinform. 25(1): 69 (2024) - [j13]Zhong Zhuang, Taihui Li
Blind Image Deblurring with Unknown Kernel Size and Substantial Noise. Int. J. Comput. Vis. 132(2): 319-348 (2024) - [j12]Le Peng
An in-depth evaluation of federated learning on biomedical natural language processing for information extraction. npj Digit. Medicine 7(1) (2024) - [j11]Xiaole Su, Yuanchao Hu
A blockchain-based smart contract model for secured energy trading management in smart microgrids. Secur. Priv. 7(1) (2024) - [j10]Chuan He, Le Peng, Ju Sun:
Federated Learning with Convex Global and Local Constraints. Trans. Mach. Learn. Res. 2024 (2024) - [j9]Li Shen
A Unified Analysis of AdaGrad With Weighted Aggregation and Momentum Acceleration. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14482-14490 (2024) - [i41]Wenjie Zhang, Yuxiang Wan, Zhong Zhuang, Ju Sun:
What is Wrong with End-to-End Learning for Phase Retrieval? CoRR abs/2403.15448 (2024) - [i40]Hengyue Liang, Le Peng, Ju Sun:
Selective Classification Under Distribution Shifts. CoRR abs/2405.05160 (2024) - [i39]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 abs/2405.16749 (2024) - 2023
- [j8]Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun:
Early Stopping for Deep Image Prior. Trans. Mach. Learn. Res. 2023 (2023) - [c19]Le Peng, Hengyue Liang, Gaoxiang Luo, Taihui Li, Ju Sun:
Rethinking Transfer Learning for Medical Image Classification. BMVC 2023: 881-888 - [c18]Zhong Zhuang, David Yang, Felix Hofmann, David Barmherzig, Ju Sun
Practical phase retrieval using double deep image priors. Computational Imaging 2023: 1-6 - [c17]Hengyue Liang, Buyun Liang, Ju Sun
Implications of Solution Patterns on Adversarial Robustness. CVPR Workshops 2023: 2393-2400 - [c16]Taihui Li, Hengkang Wang, Zhong Zhuang, Ju Sun:
Deep Random Projector: Accelerated Deep Image Prior. CVPR 2023: 18176-18185 - [c15]Taihui Li
Robust Autoencoders for Collective Corruption Removal. ICASSP 2023: 1-5 - [c14]Taihui Li
Random Projector: Efficient Deep Image Prior. ICASSP 2023: 1-5 - [c13]Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, Ju Sun
Optimization for Robustness Evaluation Beyond ℓp Metrics. ICASSP 2023: 1-5 - [c12]Yash Travadi, Le Peng, Ying Cui, Ju Sun
Direct Metric Optimization for Imbalanced Classification. ICHI 2023: 698-700 - [i38]Hengkang Wang, Han Lu, Ju Sun, Sandra E. Safo:
Interpretable Deep Learning Methods for Multiview Learning. CoRR abs/2302.07930 (2023) - [i37]Yash Travadi, Le Peng, Xuan Bi, Ju Sun, Mochen Yang:
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective. CoRR abs/2302.08976 (2023) - [i36]Taihui Li
Robust Autoencoders for Collective Corruption Removal. CoRR abs/2303.02828 (2023) - [i35]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 abs/2303.08448 (2023) - [i34]Hengyue Liang, Buyun Liang, Le Peng, Ying Cui, Tim Mitchell, Ju Sun:
Optimization and Optimizers for Adversarial Robustness. CoRR abs/2303.13401 (2023) - [i33]Bhargav Joshi, Taihui Li
Predicting the Future of the CMS Detector: Crystal Radiation Damage and Machine Learning at the LHC. CoRR abs/2303.15291 (2023) - [i32]Le Peng, Sicheng Zhou, Jiandong Chen, Rui Zhang, Ziyue Xu, Ju Sun:
A Systematic Evaluation of Federated Learning on Biomedical Natural Language Processing. CoRR abs/2307.11254 (2023) - [i31]Chuan He, Le Peng, Ju Sun:
A proximal augmented Lagrangian based algorithm for federated learning with global and local convex conic constraints. CoRR abs/2310.10117 (2023) - 2022
- [j7]Le Peng, Gaoxiang Luo
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): 54-63 (2022) - [i30]Zhong Zhuang, Taihui Li
Blind Image Deblurring with Unknown Kernel Size and Substantial Noise. CoRR abs/2208.09483 (2022) - [i29]Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, Ju Sun:
Optimization for Robustness Evaluation beyond 𝓁p Metrics. CoRR abs/2210.00621 (2022) - [i28]Buyun Liang, Tim Mitchell, Ju Sun:
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning. CoRR abs/2210.00973 (2022) - [i27]Le Peng, Yash Travadi, Rui Zhang, Ying Cui, Ju Sun:
Imbalanced Classification in Medical Imaging via Regrouping. CoRR abs/2210.12234 (2022) - [i26]Zhong Zhuang, David Yang, Felix Hofmann, David Barmherzig, Ju Sun:
Practical Phase Retrieval Using Double Deep Image Priors. CoRR abs/2211.00799 (2022) - 2021
- [c11]Taihui Li, Zhong Zhuang, Hengyue Liang, Le Peng, Hengkang Wang, Ju Sun:
Self-Validation: Early Stopping for Single-Instance Deep Generative Priors. BMVC 2021: 108 - [i25]David A. Barmherzig, Ju Sun:
Towards Low-Photon Nanoscale Imaging: Holographic Phase Retrieval via Maximum Likelihood Optimization. CoRR abs/2105.11512 (2021) - [i24]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 abs/2106.02118 (2021) - [i23]Kshitij Tayal, Raunak Manekar, Zhong Zhuang, David Yang, Vipin Kumar, Felix Hofmann, Ju Sun:
Phase Retrieval using Single-Instance Deep Generative Prior. CoRR abs/2106.04812 (2021) - [i22]Le Peng, Hengyue Liang, Taihui Li, Ju Sun:
Rethink Transfer Learning in Medical Image Classification. CoRR abs/2106.05152 (2021) - [i21]Taihui Li, Zhong Zhuang, Hengyue Liang, Le Peng, Hengkang Wang, Ju Sun:
Self-Validation: Early Stopping for Single-Instance Deep Generative Priors. CoRR abs/2110.12271 (2021) - [i20]Buyun Liang, Ju Sun:
NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning. CoRR abs/2111.13984 (2021) - [i19]Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun:
Early Stopping for Deep Image Prior. CoRR abs/2112.06074 (2021) - 2020
- [i18]Kshitij Tayal, Chieh-Hsin Lai, Vipin Kumar, Ju Sun:
Inverse Problems, Deep Learning, and Symmetry Breaking. CoRR abs/2003.09077 (2020)
2010 – 2019
- 2019
- [c10]Yu Bai, Qijia Jiang, Ju Sun:
Subgradient Descent Learns Orthogonal Dictionaries. ICLR (Poster) 2019 - [i17]David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T. J. Lane, Po-Nan Li:
Holographic Phase Retrieval and Optimal Reference Design. CoRR abs/1901.06453 (2019) - [i16]David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T. J. Lane, Po-Nan Li:
Dual-Reference Design for Holographic Coherent Diffraction Imaging. CoRR abs/1902.02492 (2019) - 2018
- [j6]Ju Sun
A Geometric Analysis of Phase Retrieval. Found. Comput. Math. 18(5): 1131-1198 (2018) - [i15]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 abs/1807.10752 (2018) - [i14]Yu Bai, Qijia Jiang, Ju Sun:
Subgradient Descent Learns Orthogonal Dictionaries. CoRR abs/1810.10702 (2018) - 2017
- [j5]Ju Sun
Complete Dictionary Recovery Over the Sphere I: Overview and the Geometric Picture. IEEE Trans. Inf. Theory 63(2): 853-884 (2017) - [j4]Ju Sun
Complete Dictionary Recovery Over the Sphere II: Recovery by Riemannian Trust-Region Method. IEEE Trans. Inf. Theory 63(2): 885-914 (2017) - [i13]David Barmherzig, Ju Sun:
A Local Analysis of Block Coordinate Descent for Gaussian Phase Retrieval. CoRR abs/1712.02083 (2017) - 2016
- [b1]Ju Sun:
When Are Nonconvex Optimization Problems Not Scary? Columbia University, USA, 2016 - [j3]Qing Qu
Finding a Sparse Vector in a Subspace: Linear Sparsity Using Alternating Directions. IEEE Trans. Inf. Theory 62(10): 5855-5880 (2016) - [c9]Ju Sun
A geometric analysis of phase retrieval. ISIT 2016: 2379-2383 - [i12]Ju Sun, Qing Qu, John Wright:
A Geometric Analysis of Phase Retrieval. CoRR abs/1602.06664 (2016) - 2015
- [c8]Ju Sun, Qing Qu, John Wright:
Complete Dictionary Recovery Using Nonconvex Optimization. ICML 2015: 2351-2360 - [i11]Ju Sun, Qing Qu, John Wright:
Complete Dictionary Recovery over the Sphere. CoRR abs/1504.06785 (2015) - [i10]Ju Sun, Qing Qu, John Wright:
When Are Nonconvex Problems Not Scary? CoRR abs/1510.06096 (2015) - [i9]Ju Sun, Qing Qu, John Wright:
Complete Dictionary Recovery over the Sphere I: Overview and the Geometric Picture. CoRR abs/1511.03607 (2015) - [i8]Ju Sun, Qing Qu, John Wright:
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method. CoRR abs/1511.04777 (2015) - 2014
- [j2]Ju Sun
Efficient Point-to-Subspace Query in ℓ1 with Application to Robust Object Instance Recognition. SIAM J. Imaging Sci. 7(4): 2105-2138 (2014) - [c7]Qing Qu, Ju Sun, John Wright:
Finding a sparse vector in a subspace: Linear sparsity using alternating directions. NIPS 2014: 3401-3409 - [i7]Qing Qu, Ju Sun, John Wright:
Finding a sparse vector in a subspace: Linear sparsity using alternating directions. CoRR abs/1412.4659 (2014) - 2013
- [j1]Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun
Robust Recovery of Subspace Structures by Low-Rank Representation. IEEE Trans. Pattern Anal. Mach. Intell. 35(1): 171-184 (2013) - 2012
- [c6]Ju Sun
Efficient Point-to-Subspace Query in ℓ1 with Application to Robust Face Recognition. ECCV (4) 2012: 416-429 - [i6]Ju Sun, Yuqian Zhang, John Wright:
Efficient Point-to-Subspace Query in ℓ1 with Application to Robust Face Recognition. CoRR abs/1208.0432 (2012) - [i5]Ju Sun, Yuqian Zhang, John Wright:
Efficient Point-to-Subspace Query in ℓ1: Theory and Applications in Computer Vision. CoRR abs/1211.0757 (2012) - 2010
- [c5]Yadong Mu, Ju Sun
Randomized Locality Sensitive Vocabularies for Bag-of-Features Model. ECCV (3) 2010: 748-761 - [c4]Yuzhao Ni, Ju Sun
Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees. ICDM Workshops 2010: 1179-1188 - [c3]Ju Sun
Activity recognition using dense long-duration trajectories. ICME 2010: 322-327 - [i4]Yuzhao Ni, Ju Sun, Xiaotong Yuan, Shuicheng Yan, Loong Fah Cheong:
Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees. CoRR abs/1009.3802 (2010) - [i3]Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma:
Robust Recovery of Subspace Structures by Low-Rank Representation. CoRR abs/1010.2955 (2010) - [i2]Ju Sun, Qiang Chen, Shuicheng Yan, Loong Fah Cheong:
Selective Image Super-Resolution. CoRR abs/1010.5610 (2010) - [i1]Guangcan Liu, Ju Sun, Shuicheng Yan:
Closed-Form Solutions to A Category of Nuclear Norm Minimization Problems. CoRR abs/1011.4829 (2010)
2000 – 2009
- 2009
- [c2]Ju Sun
Hierarchical spatio-temporal context modeling for action recognition. CVPR 2009: 2004-2011 - 2008
- [c1]Ching Lik Teo, Shimiao Li, Loong Fah Cheong, Ju Sun:
3D ordinal constraint in spatial configuration for robust scene recognition. ICPR 2008: 1-5
Coauthor Index
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last updated on 2024-10-23 20:34 CEST by the dblp team
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