Yau-Zen Chang
JobTitle: Professor
CurrentJob: Chairman of Department of Mechanical Engineering
E-mail: zen@mail.cgu.edu.tw
Phone: 5341
Education: D.Phil., Engineering Science, University of Oxford, U.K.
Expertise: Machine Vision; Deep Learning; Mechatronics; Robotics.
Website: https://me.cgu.edu.tw/p/404-1085-98991.php?Lang=zh-tw
Research Direction
Machine Vision; Deep Learning; Mechatronics; Robotics.
Publications
- Chieh-Tsai Wu, Yao-Hung Yang, Yau-Zen Chang*, “Three-dimensional deep learning to automatically generate cranial implant geometry,” Scientific Reports, 2022, 12:2683, DOI:10.1038/s41598-022-06606-9. (SCI)
- Chengtao Zhu and Yau-Zen Chang*, “Stereo Matching for Infrared Images Using Guided Filtering Weighted by Exponential Moving Average,” IET Image Processing, vol. 14, issue 5, pp. 830-837, 2020. (SCI)
- Chengtao Zhu and Yau-Zen Chang*, “Hierarchical Guided-Image-Filtering for Efficient Stereo Matching,” Applied Sciences, 9(15):3122, 14 pages, 2019. (SCI)
- Chengtao Zhu and Yau-Zen Chang*, “Efficient Stereo Matching Based on Pervasive Guided Image Filtering,” Mathematical Problems in Engineering, vol. 2019, Article ID 3128172, 11 pages, 2019. (SCI)
- Zhi-Ren Tsai and Yau-Zen Chang*, “Enhancing Design of a Visual-Servo Delayed System,”Journal of Electronic Science and Technology, vol. 16, no. 3, pp. 232-240, 2018. (EI)
- Chengtao Zhu, Yau-Zen Chang, Qiang Li*, “Accurate Stereo Matching Based on Weighted Nonlocal Aggregation for Enhanced Disparity Refinement,” Journal of Electronic Imaging, vol. 27, no. 2, 023031, 9 pages, Mar 2018. (SCI)
- Zhi-Ren Tsai and Yau-Zen Chang*, “Two-stage digital redesign of a cooling system with time delay by dither,” Journal of Engineering Technology, vol. 6, no. 2, July, 2017, PP.764-775.
- Zhi-Ren Tsai*, Yau-Zen Chang, Han-Wei Zhang, Chin-Teng Lin, “Relax the Chaos-Model-based Human Behavior by Electrical Stimulation Therapy Design,” Computers in Human Behavior, vol. 67, Feb. 2017, pp.151-160. Doi: 10.1016/j.chb.2016.10.006.
Awards
- Served as Guest Editor of the Special Issue: Object Detection and Recognition for Intelligent Robotic Systems, Applied Sciences (2023/01/20 to 2023/06/20).
- Participated in the Automation 2021 and 109th Annual Automation Research Results Presentation Conference (November 12 to November 14, 2021), won the gold medal in the online best paper competition on November 13 with "Skull implant design using 3D U-Net" .