Chao Wang
Orcid: 0000-0001-6524-504XAffiliations:
- Southern University of Science and Technology, Department of Statistics and Data Science, Shenzhen, China
- 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 27 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
J. Sci. Comput., October, 2024
J. Sci. Comput., May, 2024
A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion.
SIAM J. Imaging Sci., March, 2024
Nonnegative Matrix Functional Factorization for Hyperspectral Unmixing With Nonuniform Spectral Sampling.
IEEE Trans. Geosci. Remote. Sens., 2024
A nonlinear high-order transformations-based method for high-order tensor completion.
Signal Process., 2024
Hyperspectral sparse fusion using adaptive total variation regularization and superpixel-based weighted nuclear norm.
Signal Process., 2024
PiLocNet: Physics-informed neural network on 3D localization with rotating point spread function.
CoRR, 2024
Hyperspectral and multispectral image fusion with arbitrary resolution through self-supervised representations.
CoRR, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
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
SIAM J. Imaging Sci., 2021
Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning?
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
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
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