Projects per year
Personal profile
Education
- Ph.D. in Communications Engineering, National Tsing Hua University
- B.S. in Electrical Engineering, National Tsing Hua University
Research Interests
- blind signal processing / unsupervised machine learning
- hyperspectral image processing
- quantum image processing
- fast algorithm / big data optimization theory
- deep learning
- convex optimization
- 5G/6G wireless communications
- satellite remote sensing
- bio-informatics / biomedical imaging
Experience
- 2022 - present Associate Professor, Department of Electrical Engineering, National Cheng Kung University
- 2019 - 2022 Assistant Professor, Department of Electrical Engineering, National Cheng Kung University
- 2018-2019 Assistant Professor, National Central University
- 2017-2018 Postdoctoral Researcher, University of Lisbon, Portugal
- 2017 Visiting Scholar, The Chinese Univ. of Hong Kong
- 2016-2017 Postdoctoral Researcher, National Tsing Hua University
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Projects
- 6 Finished
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Hyperqueen: Hyperspectral Quantum Deep Network for Space Remote Sensing( I )
23-08-01 → 24-07-31
Project: Research project
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Advanced Blind Source Separation and Hyperspectral Super-resolution Imaging via Convex Geometry and Big Data Optimization(5/5)
22-08-01 → 23-07-31
Project: Research project
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Advanced Blind Source Separation and Hyperspectral Super-resolution Imaging via Convex Geometry and Big Data Optimization(4/5)
21-08-01 → 22-07-31
Project: Research project
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Advanced Blind Source Separation and Hyperspectral Super-resolution Imaging via Convex Geometry and Big Data Optimization(3/5)
20-08-01 → 21-07-31
Project: Research project
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Advanced Blind Source Separation and Hyperspectral Super-resolution Imaging via Convex Geometry and Big Data Optimization(2/5)
19-08-01 → 20-07-31
Project: Research project
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CODE-IF: A Convex/Deep Image Fusion Algorithm for Efficient Hyperspectral Super-Resolution
Lin, C. H., Hsieh, C. Y. & Lin, J. T., 2024, In: IEEE Transactions on Geoscience and Remote Sensing. 62, p. 1-18 18 p., 5617318.Research output: Contribution to journal › Article › peer-review
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HyperQUEEN-MF: Hyperspectral quantum deep network with multi-scale feature fusion for quantum image super-resolution
Hsu, S-M., Lin, T-H. & Lin, C-H., 2024 Jul 8.Research output: Contribution to conference › Paper › peer-review
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Hyperspectral Tensor Completion Using Low-Rank Modeling and Convex Functional Analysis
Lin, C. H., Liu, Y., Chi, C. Y., Hsu, C. C., Ren, H. & Quek, T. Q. S., 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 8, p. 10736-10750 15 p.Research output: Contribution to journal › Article › peer-review
7 Citations (Scopus) -
QRCODE: Quasi-Residual Convex Deep Network for Fusing Misaligned Hyperspectral and Multispectral Images
Lin, C. H., Hsu, C. C., Young, S. S., Hsieh, C. Y. & Tai, S. C., 2024, In: IEEE Transactions on Geoscience and Remote Sensing. 62, p. 1-15 15 p., 5512215.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Quantum adversarial learning for hyperspectral remote sensing
Lin, C-H., Kuo, C. Y. & Young, S-S., 2024 Jul 7, IEEE IGARSS. Athens, GreeceResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution