Chao Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Point Spread Function

Convex Minimization

Top Venues

SIAM J. Imaging Sci.

IEEE Trans. Geosci. Remote. Sens.

Signal Process.

Publications

Huiwen Zheng, Yifei Lou, Guoliang Tian, Chao Wang
A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion. SIAM J. Imaging Sci. 17 (1) (2024)
Ting Wang, Jizhou Li, Michael K. Ng, Chao Wang
Nonnegative Matrix Functional Factorization for Hyperspectral Unmixing With Nonuniform Spectral Sampling. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Jingjing Lu, Jun Zhang, Chao Wang, Chengzhi Deng
Hyperspectral sparse fusion using adaptive total variation regularization and superpixel-based weighted nuclear norm. Signal Process. 220 (2024)
Ting Wang, Zipei Yan, Jizhou Li, Xile Zhao, Chao Wang, Michael Ng
Hyperspectral and multispectral image fusion with arbitrary resolution through self-supervised representations. CoRR (2024)
Chao Wang, Ming Yan, Junjie Yu
Minimization for Sparse Signal Recovery. J. Sci. Comput. 99 (2) (2024)
Linhong Luo, Zhihui Tu, Jian Lu, Chao Wang, Chen Xu
A nonlinear high-order transformations-based method for high-order tensor completion. Signal Process. 225 (2024)
Jun Zhang, Jingjing Lu, Chao Wang, Shutao Li
Hyperspectral and Multispectral Image Fusion via Superpixel-Based Weighted Nuclear Norm Minimization. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Junci Yang, Mingxi Ma, Jun Zhang, Chao Wang
Noise removal using an adaptive Euler's elastica-based model. Vis. Comput. 39 (11) (2023)
Zhengfeng Lai, Chao Wang, Zin Hu, Brittany N. Dugger, Sen-Ching S. Cheung, Chen-Nee Chuah
A Semi-supervised Learning for Segmentation of Gigapixel Histopathology Images from Brain Tissues. EMBC (2021)
Chao Wang, Min Tao, Chen-Nee Chuah, James G. Nagy, Yifei Lou
Minimizing L1 over L2 norms on the gradient. CoRR (2021)
Chao Wang, Min Tao, James G. Nagy, Yifei Lou
Minimization. SIAM J. Imaging Sci. 14 (2) (2021)
Zhengfeng Lai, Chao Wang, Luca Cerny Oliveira, Brittany N. Dugger, Sen-Ching Samson Cheung, Chen-Nee Chuah
Joint Semi-supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling. ICCVW (2021)
Gregory B. Rehm, Chao Wang, Irene Cortes-Puch, Chen-Nee Chuah, Jason Y. Adams
Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning? CoRR (2021)
Chao Wang, Ming Yan, Yaghoub Rahimi, Yifei Lou
Accelerated Schemes for the $L_1/L_2$ Minimization. IEEE Trans. Signal Process. 68 (2020)
Chao Wang, Min Tao, James G. Nagy, Yifei Lou
Limited-angle CT reconstruction via the L1/L2 minimization. CoRR (2020)
Chao Wang, Raymond H. Chan, Robert J. Plemmons, Sudhakar Prasad
Point Spread Function Engineering for 3D Imaging of Space Debris using a Continuous Exact l0 Penalty (CEL0) Based Algorithm. CoRR (2020)
Chao Wang, Grey Ballard, Robert J. Plemmons, Sudhakar Prasad
Joint 3D Localization and Classification of Space Debris using a Multispectral Rotating Point Spread Function. CoRR (2019)
Chao Wang, Raymond H. Chan, Mila Nikolova, Robert J. Plemmons, Sudhakar Prasad
Nonconvex Optimization for 3-Dimensional Point Source Localization Using a Rotating Point Spread Function. SIAM J. Imaging Sci. 12 (1) (2019)
Yaghoub Rahimi, Chao Wang, Hongbo Dong, Yifei Lou
A Scale-Invariant Approach for Sparse Signal Recovery. SIAM J. Sci. Comput. 41 (6) (2019)
Chao Wang, Robert J. Plemmons, Sudhakar Prasad, Raymond H. Chan, Mila Nikolova
Novel Sparse Recovery Algorithms for 3D Debris Localization using Rotating Point Spread Function Imagery. CoRR (2018)
Yaghoub Rahimi, Chao Wang, Hongbo Dong, Yifei Lou
A Scale Invariant Approach for Sparse Signal Recovery. CoRR (2018)