Projects per year
Personal profile
Education
- Ph.D., Department of Electrical Engineering, National Tsing Hua University (NTHU), Taiwan.
- M.S., Department of Electrical Engineering, National Yunlin University of Science and Technology (Yuntech), Taiwan.
Experience
- 2021/02 ~ present Assistant Professor, Institute of Data Science and Department of Statistics, National Cheng Kung University
- 2018/02 ~ 2021/01 Assistant Professor, Department of Management Information Systems, National Pingtung University of Science and Technology
- 2017/02 Visiting Scholar, National Institute of Informatics (NII), Tokyo, Japan
- 2016/09 ~ 2018/02 Adjunct Assistant Professor, Department of Quantitative Finance, NTHU
- 2016/02 ~ 2016/07 Adjunct Assistant Professor, Department of Computer Science, NTHU
- 2014/10 ~ 2017/10 Postdoc Fellow, Department of Communications, NTHU
Research Interests
- Image processing
- Machine learning
- Computer vision
- Deep learning
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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 2 Finished
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1stWorkshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
Kiefer, B., Kristan, M., Pers, J., Zust, L., Poiesi, F., De Alcantara Andrade, F. A., Bernardino, A., Dawkins, M., Raitoharju, J., Quan, Y., Atmaca, A., Hofer, T., Zhang, Q., Xu, Y., Zhang, J., Tao, D., Sommer, L., Spraul, R., Zhao, H., Zhang, H., & 52 others , 2023, Proceedings - 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023. Institute of Electrical and Electronics Engineers Inc., p. 265-302 38 p. (Proceedings - 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Deep learning-based vehicle trajectory prediction based on generative adversarial network for autonomous driving applications
Hsu, C. C., Kang, L. W., Chen, S. Y., Wang, I. S., Hong, C. H. & Chang, C. Y., 2023 Mar, In: Multimedia Tools and Applications. 82, 7, p. 10763-10780 18 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
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., 2023, (Accepted/In press) In: IEEE Transactions on Neural Networks and Learning Systems. p. 1-15 15 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Jointly Defending DeepFake Manipulation and Adversarial Attack Using Decoy Mechanism
Chen, G. L. & Hsu, C. C., 2023 Aug 1, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 8, p. 9922-9931 10 p.Research output: Contribution to journal › Article › peer-review
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Multi-head self-attention mechanism enabled individualized hemoglobin prediction and treatment recommendation systems in anemia management for hemodialysis patients
Yang, J. Y., Lee, T. C., Liao, W. T. & Hsu, C. C., 2023 Feb, In: Heliyon. 9, 2, e12613.Research output: Contribution to journal › Article › peer-review
Open Access