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 source separation
- hyperspectral image processing
- big data optimization theory
- fast algorithm
- 5G wireless communications
- computer vision
- satellite remote sensing
- bio-informatics/biomedical imaging
- convex geometry
Experience
- 2019 - present 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
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Projects
- 2 Finished
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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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Advanced Blind Source Separation and Hyperspectral Super-resolution Imaging via Convex Geometry and Big Data Optimization(1/5)
18-08-01 → 19-08-31
Project: Research project
Research output
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A new hyperspectral compressed sensing method for efficient satellite communications
Lin, C. H., Bioucas Dias, J. M., Lin, T. H., Lin, Y. C. & Kao, C. H., 2020 Jun, 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop, SAM 2020. IEEE Computer Society, 9104363. (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; vol. 2020-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A New Hyperspectral Compressed Sensing Method for Efficient Satellite Communications
Lin, C., Bioucas Dias, J. M., Lin, T., Lin, Y. & Kao, C., 2020 Jun, p. 1-5.Research output: Contribution to conference › Paper › peer-review
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An Explicit and Scene-Adapted Definition of Convex Self-Similarity Prior with Application to Unsupervised Sentinel-2 Super-Resolution
Lin, C. H. & Bioucas-Dias, J. M., 2020 May, In: IEEE Transactions on Geoscience and Remote Sensing. 58, 5, p. 3352-3365 14 p., 8931230.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
A simple spatial-spectral proximal compression method for high-dimensional imagery with proximal computing based blind reconstruction
Lin, T-H., Lin, C-H., Liu, Y. & Kao, C-H., 2020 Aug 16, (Accepted/In press) The 33rd IPPR Conference on Computer Vision, Graphics, and Image Processing. Hsinchu, TaiwanResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Deep joint compression and super-resolution low-rank network for fast hyperspectral data transmission
Hsu, C-C., Lin, Y-C., Kao, C-H. & Lin, C-H., 2020 Aug 16, (Accepted/In press) The 33rd IPPR Conference on Computer Vision, Graphics, and Image Processing. Hsinchu, TaiwanResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution