Chao Wang

Orcid: 0000-0001-6524-504X

Affiliations:
  • University of California Davis, Department of Electrical and Computer Engineering, Davis, CA, USA
  • University of Texas at Dallas, Department of Mathematical Sciences, Richardson, TX, USA (2018 - 2019)
  • Chinese University of Hong Kong, Department of Mathematics, Hong Kong (PhD 2018)


According to our database1, Chao Wang authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Sorted L<sub>1/L<sub>2</sub></sub> Minimization for Sparse Signal Recovery.
J. Sci. Comput., May, 2024

Nonnegative Matrix Functional Factorization for Hyperspectral Unmixing With Nonuniform Spectral Sampling.
IEEE Trans. Geosci. Remote. Sens., 2024

Hyperspectral sparse fusion using adaptive total variation regularization and superpixel-based weighted nuclear norm.
Signal Process., 2024

2023
Noise removal using an adaptive Euler's elastica-based model.
Vis. Comput., November, 2023

Hyperspectral and Multispectral Image Fusion via Superpixel-Based Weighted Nuclear Norm Minimization.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data.
Proceedings of the International Conference on Machine Learning, 2022

SaR: Self-adaptive Refinement on Pseudo Labels for Multiclass-Imbalanced Semi-supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Limited-Angle CT Reconstruction via the L<sub>1/L<sub>2</sub></sub> Minimization.
SIAM J. Imaging Sci., 2021

Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning?
CoRR, 2021

Minimizing L1 over L2 norms on the gradient.
CoRR, 2021

Joint Semi-supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

A Semi-supervised Learning for Segmentation of Gigapixel Histopathology Images from Brain Tissues.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Accelerated Schemes for the $L_1/L_2$ Minimization.
IEEE Trans. Signal Process., 2020

Point Spread Function Engineering for 3D Imaging of Space Debris using a Continuous Exact l0 Penalty (CEL0) Based Algorithm.
CoRR, 2020

Limited-angle CT reconstruction via the L1/L2 minimization.
CoRR, 2020

2019
A Scale-Invariant Approach for Sparse Signal Recovery.
SIAM J. Sci. Comput., 2019

Nonconvex Optimization for 3-Dimensional Point Source Localization Using a Rotating Point Spread Function.
SIAM J. Imaging Sci., 2019

Joint 3D Localization and Classification of Space Debris using a Multispectral Rotating Point Spread Function.
CoRR, 2019

2018
Novel Sparse Recovery Algorithms for 3D Debris Localization using Rotating Point Spread Function Imagery.
CoRR, 2018


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