Novel Sparse Recovery Algorithms for 3D Debris Localization using Rotating Point Spread Function Imagery. - Chao Wang 067; Robert J. Plemmons; Sudhakar Prasad; Raymond H. Chan; Mila Nikolova (CoRR, 2018)

Joint 3D Localization and Classification of Space Debris using a Multispectral Rotating Point Spread Function. - Chao Wang 067; Grey Ballard; Robert J. Plemmons; Sudhakar Prasad (CoRR, 2019)

Nonconvex Optimization for 3-Dimensional Point Source Localization Using a Rotating Point Spread Function. - Chao Wang 067; Raymond H. Chan; Mila Nikolova; Robert J. Plemmons; Sudhakar Prasad (SIAM J. Imaging Sci., 2019)

A Scale-Invariant Approach for Sparse Signal Recovery. - Yaghoub Rahimi; Chao Wang 067; Hongbo Dong 001; Yifei Lou (SIAM J. Sci. Comput., 2019)

Limited-angle CT reconstruction via the L1/L2 minimization. - Chao Wang 067; Min Tao; James G. Nagy; Yifei Lou (CoRR, 2020)

Point Spread Function Engineering for 3D Imaging of Space Debris using a Continuous Exact l0 Penalty (CEL0) Based Algorithm. - Chao Wang 067; Raymond H. Chan; Robert J. Plemmons; Sudhakar Prasad (CoRR, 2020)

Accelerated Schemes for the $L_1/L_2$ Minimization. - Chao Wang 067; Ming Yan 006; Yaghoub Rahimi; Yifei Lou (IEEE Trans. Signal Process., 2020)

A Semi-supervised Learning for Segmentation of Gigapixel Histopathology Images from Brain Tissues. - Zhengfeng Lai; Chao Wang 067; Zin Hu; Brittany N. Dugger; Sen-Ching S. Cheung; Chen-Nee Chuah (EMBC, 2021)

Joint Semi-supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling. - Zhengfeng Lai; Chao Wang 067; Luca Cerny Oliveira; Brittany N. Dugger; Sen-Ching Samson Cheung; Chen-Nee Chuah (ICCVW, 2021)

Minimizing L1 over L2 norms on the gradient. - Chao Wang 067; Min Tao; Chen-Nee Chuah; James G. Nagy; Yifei Lou (CoRR, 2021)

Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning? - Gregory B. Rehm; Chao Wang 067; Irene Cortes-Puch; Chen-Nee Chuah; Jason Y. Adams (CoRR, 2021)

Limited-Angle CT Reconstruction via the L1/L2 Minimization. - Chao Wang 067; Min Tao; James G. Nagy; Yifei Lou (SIAM J. Imaging Sci., 2021)

SaR: Self-adaptive Refinement on Pseudo Labels for Multiclass-Imbalanced Semi-supervised Learning. - Zhengfeng Lai; Chao Wang 067; Sen-Ching S. Cheung; Chen-Nee Chuah (CVPR Workshops, 2022)

Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data. - Zhengfeng Lai; Chao Wang 067; Henrry Gunawan; Sen-Ching S. Cheung; Chen-Nee Chuah (ICML, 2022)

Minimizing Quotient Regularization Model. - Chao Wang 067; Jean-François Aujol; Guy Gilboa; Yifei Lou (CoRR, 2023)

Robust retrieval of material chemical states in X-ray microspectroscopy. - Ting Wang; Xiaotong Wu; Jizhou Li; Chao Wang 067 (CoRR, 2023)

Hyperspectral and Multispectral Image Fusion via Superpixel-Based Weighted Nuclear Norm Minimization. - Jun Zhang 088; Jingjing Lu; Chao Wang 067; Shutao Li (IEEE Trans. Geosci. Remote. Sens., 2023)

Noise removal using an adaptive Euler's elastica-based model. - Junci Yang; Mingxi Ma; Jun Zhang 088; Chao Wang 067 (Vis. Comput., 2023)

Superpixel-Informed Implicit Neural Representation for Multi-dimensional Data. - Jia-Yi Li; Xile Zhao; Jian-Li Wang; Chao Wang 067; Min Wang 022 (ECCV (2), 2024)

Hyperspectral and multispectral image fusion with arbitrary resolution through self-supervised representations. - Ting Wang; Zipei Yan; Jizhou Li; Xile Zhao; Chao Wang 067; Michael Ng 001 (CoRR, 2024)

PiLocNet: Physics-informed neural network on 3D localization with rotating point spread function. - Mingda Lu; Zitian Ao; Chao Wang 067; Sudhakar Prasad; Raymond H. Chan (CoRR, 2024)

Superpixel-informed Implicit Neural Representation for Multi-Dimensional Data. - Jiayi Li; Xile Zhao; Jianli Wang; Chao Wang 067; Min Wang 022 (CoRR, 2024)

Variational Bayesian Inference for Tensor Robust Principal Component Analysis. - Chao Wang 067; Huiwen Zheng; Raymond Chan 001; Youwen Wen (CoRR, 2024)

Hyperspectral sparse fusion using adaptive total variation regularization and superpixel-based weighted nuclear norm. - Jingjing Lu; Jun Zhang 088; Chao Wang 067; Chengzhi Deng (Signal Process., 2024)

A nonlinear high-order transformations-based method for high-order tensor completion. - Linhong Luo; Zhihui Tu; Jian Lu; Chao Wang 067; Chen Xu (Signal Process., 2024)

Nonnegative Matrix Functional Factorization for Hyperspectral Unmixing With Nonuniform Spectral Sampling. - Ting Wang; Jizhou Li; Michael K. Ng 001; Chao Wang 067 (IEEE Trans. Geosci. Remote. Sens., 2024)

A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion. - Huiwen Zheng; Yifei Lou; Guoliang Tian; Chao Wang 067 (SIAM J. Imaging Sci., 2024)

Sorted L1/L2 Minimization for Sparse Signal Recovery. - Chao Wang 067; Ming Yan; Junjie Yu (J. Sci. Comput., 2024)

Poissonian Image Restoration Via the L1/L2-Based Minimization. - Mujibur Rahman Chowdhury; Chao Wang 067; Yifei Lou (J. Sci. Comput., 2024)

Tensor Robust Principal Component Analysis via the Tensor Nuclear Over Frobenius Norm. - Huiwen Zheng; Yifei Lou; Guoliang Tian; Chao Wang 067 (J. Sci. Comput., 2025)