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Sun, Ju

  1. Subgradient Descent Learns Orthogonal Dictionaries
    2018/10/25 by Yu Bai, Bai, Yu, Qijia Jiang +3 · 6 citations
    Computer Science · Engineering · #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  2. DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
    2024/05/27 by Wang, Hengkang, Zhang, Xu, Li, Taihui +3 · 12 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  3. Self-Validation: Early Stopping for Single-Instance Deep Generative Priors
    2021/10/23 by Li, Taihui, Zhuang, Zhong, Liang, Hengyue +3 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
  4. Practical Phase Retrieval Using Double Deep Image Priors
    2022/11/02 by Zhong Zhuang, Zhuang, Zhong, David J. Yang +7 · 3 citations
    Physics and Astronomy · #Advanced X-ray Imaging Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  5. Inverse Problems, Deep Learning, and Symmetry Breaking
    2020/03/20 by Kshitij Tayal, Tayal, Kshitij, Chieh-Hsin Lai +5 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Advanced Electron Microscopy Techniques and Applications #Advanced X-ray Imaging Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Optical measurement and interference techniques #Optimization and Control (math.OC) #Signal Processing (eess.SP) #electronic engineering #information engineering
  6. Complete Dictionary Recovery over the Sphere
    2015/04/26 by Sun, Ju, Qu, Qing, Wright, John · 1 citation
    #58C05 #68P30 #68T05 #90C26 #90C48 #90C55 #94A08 #94A12 #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  7. When Are Nonconvex Problems Not Scary?
    2015/10/21 by Sun, Ju, Qu, Qing, Wright, John · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  8. NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning
    2022/10/03 by Buyun Liang, Timothy J. Mitchell, Liang, Buyun +3 · 2 citations
    Computer Science · Engineering · #Advanced Numerical Methods in Computational Mathematics #Computational Physics and Python Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Mathematical Software (cs.MS) #Optimization and Control (math.OC) #Reservoir Engineering and Simulation Methods #Signal Processing (eess.SP) #electronic engineering #information engineering
  9. Optimization and Optimizers for Adversarial Robustness
    2023/03/23 by Liang, Hengyue, Liang, Buyun, Peng, Le +3 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  10. Selective Classification Under Distribution Shifts
    2024/05/08 by Hengyue Liang, Le Peng, Liang, Hengyue +3 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
  11. What is Wrong with End-to-End Learning for Phase Retrieval?
    2024/03/18 by Zhang, Wenjie, Wan, Yuxiang, Zhuang, Zhong +1 · 3 citations
    #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
  12. Temporal-Consistent Video Restoration with Pre-trained Diffusion Models
    2025/03/19 by Wang, Hengkang, Liu, Yang, Liu, Huidong +5 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  13. A Baseline Method for Removing Invisible Image Watermarks using Deep Image Prior
    2025/02/19 by Hengyue Liang, Liang, Hengyue, Taihui Li +3 · 3 citations
    Computer Science · #Advanced Steganography and Watermarking Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #Digital Media Forensic Detection #FOS: Computer and information sciences #FOS: Electrical engineering #Handwritten Text Recognition Techniques #Image and Video Processing (eess.IV) #electronic engineering #information engineering
  14. NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning
    2021/11/27 by Buyun Liang, Liang, Buyun, Mitchell, Tim +1 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Mathematical Software (cs.MS) #Medical Image Segmentation Techniques #Optimization and Control (math.OC) #Signal Processing (eess.SP) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #electronic engineering #information engineering