Ju Sun - RankMe

85 papers A* 5A 3B 2Misc 3Journal 62Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Navigating Operational Innovation in Supply Chain Based Financial Resource Allocation: Evidence From Digitalization Intensity and Breadth. IEEE Trans. Engineering Management Xiangdong Liu, Cheng Liu, Chang He, Ju Sun, Yu Xiong
2026	A*	`conf`	Temporal-Consistent Video Restoration with Pre-trained Diffusion Models. AAAI Hengkang Wang, Yang Liu, Huidong Liu, Chien-Chih Wang, Yanhui Guo, Hongdong Li, Bryan Wang, Ju Sun
2025	J	`jnl`	A Baseline Method for Removing Invisible Image Watermarks using Deep Image Prior. CoRR Hengyue Liang, Taihui Li, Ju Sun
2025	J	`jnl`	A Baseline Method for Removing Invisible Image Watermarks using Deep Image Prior. Trans. Mach. Learn. Res. Hengyue Liang, Taihui Li, Ju Sun
2025	J	`jnl`	Exact Reformulation and Optimization for Direct Metric Optimization in Binary Imbalanced Classification. CoRR Le Peng, Yash Travadi, Chuan He, Ying Cui, Ju Sun
2025	—	`conf`	Fmplug: Plug-In Foundation Flow-Matching Priors for Inverse Problems. CAMSAP Yuxiang Wan, Ryan Devera, Wenjie Zhang, Ju Sun
2025	J	`jnl`	Saving Foundation Flow-Matching Priors for Inverse Problems. CoRR Yuxiang Wan, Ryan Devera, Wenjie Zhang, Ju Sun
2025	J	`jnl`	Temporal-Consistent Video Restoration with Pre-trained Diffusion Models. CoRR Hengkang Wang, Yang Liu, Huidong Liu, Chien-Chih Wang, Yanhui Guo, Hongdong Li, Bryan Wang, Ju Sun
2024	J	`jnl`	A Unified Analysis of AdaGrad With Weighted Aggregation and Momentum Acceleration. IEEE Trans. Neural Networks Learn. Syst. Li Shen, Congliang Chen, Fangyu Zou, Zequn Jie, Ju Sun, Wei Liu
2024	J	`jnl`	A blockchain-based smart contract model for secured energy trading management in smart microgrids. Secur. Priv. Xiaole Su, Yuanchao Hu, Wei Liu, Zhipeng Jiang, Chan Qiu, Jie Xiong, Ju Sun
2024	J	`jnl`	An in-depth evaluation of federated learning on biomedical natural language processing for information extraction. npj Digit. Medicine Le Peng, Gaoxiang Luo, Sicheng Zhou, Jiandong Chen, Ziyue Xu, Ju Sun, Rui Zhang
2024	J	`jnl`	Blind Image Deblurring with Unknown Kernel Size and Substantial Noise. Int. J. Comput. Vis. Zhong Zhuang, Taihui Li, Hengkang Wang, Ju Sun
2024	A*	`conf`	DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models. NeurIPS Hengkang Wang, Xu Zhang, Taihui Li, Yuxiang Wan, Tiancong Chen, Ju Sun
2024	J	`jnl`	DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models. CoRR Hengkang Wang, Xu Zhang, Taihui Li, Yuxiang Wan, Tiancong Chen, Ju Sun
2024	J	`jnl`	Federated Learning with Convex Global and Local Constraints. Trans. Mach. Learn. Res. Chuan He, Le Peng, Ju Sun
2024	J	`jnl`	Interpretable deep learning methods for multiview learning. BMC Bioinform. Hengkang Wang, Han Lu, Ju Sun, Sandra E. Safo
2024	J	`jnl`	Selective Classification Under Distribution Shifts. CoRR Hengyue Liang, Le Peng, Ju Sun
2024	J	`jnl`	Selective Classification Under Distribution Shifts. Trans. Mach. Learn. Res. Hengyue Liang, Le Peng, Ju Sun
2024	J	`jnl`	What is Wrong with End-to-End Learning for Phase Retrieval? CoRR Wenjie Zhang, Yuxiang Wan, Zhong Zhuang, Ju Sun
2023	J	`jnl`	A Cross-institutional Evaluation on Breast Cancer Phenotyping NLP Algorithms on Electronic Health Records. CoRR Sicheng Zhou, Nan Wang, Liwei Wang, Ju Sun, Anne H. Blaes, Hongfang Liu, Rui Zhang
2023	J	`jnl`	A Systematic Evaluation of Federated Learning on Biomedical Natural Language Processing. CoRR Le Peng, Sicheng Zhou, Jiandong Chen, Rui Zhang, Ziyue Xu, Ju Sun
2023	J	`jnl`	A proximal augmented Lagrangian based algorithm for federated learning with global and local convex conic constraints. CoRR Chuan He, Le Peng, Ju Sun
2023	A*	`conf`	Deep Random Projector: Accelerated Deep Image Prior. CVPR Taihui Li, Hengkang Wang, Zhong Zhuang, Ju Sun
2023	—	`conf`	Direct Metric Optimization for Imbalanced Classification. ICHI Yash Travadi, Le Peng, Ying Cui, Ju Sun
2023	J	`jnl`	Early Stopping for Deep Image Prior. Trans. Mach. Learn. Res. Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun
2023	—	`conf`	Implications of Solution Patterns on Adversarial Robustness. CVPR Workshops Hengyue Liang, Buyun Liang, Ju Sun, Ying Cui, Tim Mitchell
2023	J	`jnl`	Interpretable Deep Learning Methods for Multiview Learning. CoRR Hengkang Wang, Han Lu, Ju Sun, Sandra E. Safo
2023	J	`jnl`	Optimization and Optimizers for Adversarial Robustness. CoRR Hengyue Liang, Buyun Liang, Le Peng, Ying Cui, Tim Mitchell, Ju Sun
2023	Misc	`conf`	Optimization for Robustness Evaluation Beyond ℓp Metrics. ICASSP Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, Ju Sun
2023	—	`conf`	Practical phase retrieval using double deep image priors. Computational Imaging Zhong Zhuang, David Yang, Felix Hofmann, David Barmherzig, Ju Sun
2023	J	`jnl`	Predicting the Future of the CMS Detector: Crystal Radiation Damage and Machine Learning at the LHC. CoRR Bhargav Joshi, Taihui Li, Buyun Liang, Roger Rusack, Ju Sun
2023	Misc	`conf`	Random Projector: Efficient Deep Image Prior. ICASSP Taihui Li, Zhong Zhuang, Hengkang Wang, Ju Sun
2023	A	`conf`	Rethinking Transfer Learning for Medical Image Classification. BMVC Le Peng, Hengyue Liang, Gaoxiang Luo, Taihui Li, Ju Sun
2023	Misc	`conf`	Robust Autoencoders for Collective Corruption Removal. ICASSP Taihui Li, Hengkang Wang, Le Peng, Xian'e Tang, Ju Sun
2023	J	`jnl`	Robust Autoencoders for Collective Corruption Removal. CoRR Taihui Li, Hengkang Wang, Le Peng, Xian'e Tang, Ju Sun
2023	J	`jnl`	Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective. CoRR Yash Travadi, Le Peng, Xuan Bi, Ju Sun, Mochen Yang
2022	J	`jnl`	Blind Image Deblurring with Unknown Kernel Size and Substantial Noise. CoRR Zhong Zhuang, Taihui Li, Hengkang Wang, Ju Sun
2022	J	`jnl`	Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals. J. Am. Medical Informatics Assoc. 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
2022	J	`jnl`	Imbalanced Classification in Medical Imaging via Regrouping. CoRR Le Peng, Yash Travadi, Rui Zhang, Ying Cui, Ju Sun
2022	J	`jnl`	NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning. CoRR Buyun Liang, Tim Mitchell, Ju Sun
2022	J	`jnl`	Optimization for Robustness Evaluation beyond 𝓁 CoRR Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, Ju Sun
2022	J	`jnl`	Practical Phase Retrieval Using Double Deep Image Priors. CoRR Zhong Zhuang, David Yang, Felix Hofmann, David Barmherzig, Ju Sun
2021	J	`jnl`	A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals. CoRR 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
2021	J	`jnl`	Early Stopping for Deep Image Prior. CoRR Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun
2021	J	`jnl`	NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning. CoRR Buyun Liang, Ju Sun
2021	J	`jnl`	Phase Retrieval using Single-Instance Deep Generative Prior. CoRR Kshitij Tayal, Raunak Manekar, Zhong Zhuang, David Yang, Vipin Kumar, Felix Hofmann, Ju Sun
2021	J	`jnl`	Rethink Transfer Learning in Medical Image Classification. CoRR Le Peng, Hengyue Liang, Taihui Li, Ju Sun
2021	A	`conf`	Self-Validation: Early Stopping for Single-Instance Deep Generative Priors. BMVC Taihui Li, Zhong Zhuang, Hengyue Liang, Le Peng, Hengkang Wang, Ju Sun
2021	J	`jnl`	Self-Validation: Early Stopping for Single-Instance Deep Generative Priors. CoRR Taihui Li, Zhong Zhuang, Hengyue Liang, Le Peng, Hengkang Wang, Ju Sun
2021	J	`jnl`	Towards Low-Photon Nanoscale Imaging: Holographic Phase Retrieval via Maximum Likelihood Optimization. CoRR David A. Barmherzig, Ju Sun
2020	J	`jnl`	Inverse Problems, Deep Learning, and Symmetry Breaking. CoRR Kshitij Tayal, Chieh-Hsin Lai, Vipin Kumar, Ju Sun
2019	J	`jnl`	Dual-Reference Design for Holographic Coherent Diffraction Imaging. CoRR David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T. J. Lane, Po-Nan Li
2019	J	`jnl`	Holographic Phase Retrieval and Optimal Reference Design. CoRR David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T. J. Lane, Po-Nan Li
2019	—	`conf`	Subgradient Descent Learns Orthogonal Dictionaries. ICLR (Poster) Yu Bai, Qijia Jiang, Ju Sun
2018	J	`jnl`	A Geometric Analysis of Phase Retrieval. Found. Comput. Math. Ju Sun, Qing Qu, John Wright
2018	J	`jnl`	Dictionary Learning in Fourier Transform Scanning Tunneling Spectroscopy. CoRR Sky Cheung, John Y. Shin, Yenson Lau, Zhengyu Chen, Ju Sun, Yuqian Zhang, John Wright, Abhay Pasupathy
2018	J	`jnl`	Subgradient Descent Learns Orthogonal Dictionaries. CoRR Yu Bai, Qijia Jiang, Ju Sun
2017	J	`jnl`	A Local Analysis of Block Coordinate Descent for Gaussian Phase Retrieval. CoRR David Barmherzig, Ju Sun
2017	J	`jnl`	Complete Dictionary Recovery Over the Sphere I: Overview and the Geometric Picture. IEEE Trans. Inf. Theory Ju Sun, Qing Qu, John Wright
2017	J	`jnl`	Complete Dictionary Recovery Over the Sphere II: Recovery by Riemannian Trust-Region Method. IEEE Trans. Inf. Theory Ju Sun, Qing Qu, John Wright
2016	J	`jnl`	A Geometric Analysis of Phase Retrieval. CoRR Ju Sun, Qing Qu, John Wright
2016	B	`conf`	A geometric analysis of phase retrieval. ISIT Ju Sun, Qing Qu, John Wright
2016	J	`jnl`	Finding a Sparse Vector in a Subspace: Linear Sparsity Using Alternating Directions. IEEE Trans. Inf. Theory Qing Qu, Ju Sun, John Wright
2016	—	`—`	When Are Nonconvex Optimization Problems Not Scary? Ju Sun
2015	A*	`conf`	Complete Dictionary Recovery Using Nonconvex Optimization. ICML Ju Sun, Qing Qu, John Wright
2015	J	`jnl`	Complete Dictionary Recovery over the Sphere I: Overview and the Geometric Picture. CoRR Ju Sun, Qing Qu, John Wright
2015	J	`jnl`	Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method. CoRR Ju Sun, Qing Qu, John Wright
2015	J	`jnl`	Complete Dictionary Recovery over the Sphere. CoRR Ju Sun, Qing Qu, John Wright
2015	J	`jnl`	When Are Nonconvex Problems Not Scary? CoRR Ju Sun, Qing Qu, John Wright
2014	J	`jnl`	Efficient Point-to-Subspace Query in ℓ SIAM J. Imaging Sci. Ju Sun, Yuqian Zhang, John Wright
2014	—	`conf`	Finding a sparse vector in a subspace: Linear sparsity using alternating directions. NIPS Qing Qu, Ju Sun, John Wright
2014	J	`jnl`	Finding a sparse vector in a subspace: Linear sparsity using alternating directions. CoRR Qing Qu, Ju Sun, John Wright
2013	J	`jnl`	Robust Recovery of Subspace Structures by Low-Rank Representation. IEEE Trans. Pattern Anal. Mach. Intell. Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma
2012	J	`jnl`	Efficient Point-to-Subspace Query in ℓ CoRR Ju Sun, Yuqian Zhang, John Wright
2012	J	`jnl`	Efficient Point-to-Subspace Query in ℓ CoRR Ju Sun, Yuqian Zhang, John Wright
2012	—	`conf`	Efficient Point-to-Subspace Query in ℓ1 with Application to Robust Face Recognition. ECCV (4) Ju Sun, Yuqian Zhang, John Wright
2010	A	`conf`	Activity recognition using dense long-duration trajectories. ICME Ju Sun, Yadong Mu, Shuicheng Yan, Loong Fah Cheong
2010	J	`jnl`	Closed-Form Solutions to A Category of Nuclear Norm Minimization Problems CoRR Guangcan Liu, Ju Sun, Shuicheng Yan
2010	—	`conf`	Randomized Locality Sensitive Vocabularies for Bag-of-Features Model. ECCV (3) Yadong Mu, Ju Sun, Tony X. Han, Loong Fah Cheong, Shuicheng Yan
2010	J	`jnl`	Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees CoRR Yuzhao Ni, Ju Sun, Xiaotong Yuan, Shuicheng Yan, Loong Fah Cheong
2010	—	`conf`	Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees. ICDM Workshops Yuzhao Ni, Ju Sun, Xiaotong Yuan, Shuicheng Yan, Loong Fah Cheong
2010	J	`jnl`	Robust Recovery of Subspace Structures by Low-Rank Representation CoRR Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma
2010	J	`jnl`	Selective Image Super-Resolution CoRR Ju Sun, Qiang Chen, Shuicheng Yan, Loong Fah Cheong
2009	A*	`conf`	Hierarchical spatio-temporal context modeling for action recognition. CVPR Ju Sun, Xiao Wu, Shuicheng Yan, Loong Fah Cheong, Tat-Seng Chua, Jintao Li
2008	B	`conf`	3D ordinal constraint in spatial configuration for robust scene recognition. ICPR Ching Lik Teo, Shimiao Li, Loong Fah Cheong, Ju Sun