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 17 papers between 2018 and 2024.

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

Timeline

Legend:

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Bibliography

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