I am an Assistant Professor of Computer Science at the National Chengchi University, Taipei, Taiwan. I joined NCCU in Feb. of 2019. Prior to that, I was a Senior Engineer with Qualcomm Technologies, Inc., San Diego. I received the Ph.D. degree in electrical and computer engineering from the University of California, San Diego, in 2017. My research interests include image processing, video compression, and machine learning.
- Work Experience
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- External Patent Examiner, Taiwan Intellectual Property Office, TW, 2019-2021
- Senior Engineer, Qualcomm, Inc., San Diego, CA, 2017-2019
- Engineering Intern at Qualcomm, Inc., San Diego, CA, 2017 summer
- Software Intern at Apple, Inc., Cupertino, CA, 2016 summer
- Graduate Student Researcher at UC San Diego, La Jolla, CA, 2014-2016
- Assistant Patent Examiner at Intellectual Property Office, TW, 2009-2013
- Advanced Engineer at Novatek Microelectronics Corp., TW, 2005-2009
- Teaching
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- Image Processing
- Video Compression
- Deep Learning: Fundamentals and Applications
- Computer Architecture and Organization
- Awards of my Students
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- 2022 1st-place of GO-NEXT Digital Technology Solution Competition, Institute for Information Industry and Administration for Digital Industries of Ministry of Digital Affairs (1/70=1.4%) - You-Sheng Li
- 2022 High Distinction Award of AI-Go Contest, Institute for Information Industry and Administration for Digital Industries of Ministry of Digital Affairs (5/229=2.2%) - Chih-Xiang Hou and You-Sheng Li
- 2022 AI Cup TW (Advanced Scene Text Detection), 3rd-place (3/128=2.3%), Wei-Hua Li and He-Hao Liao
- 2021 1st-place of TCA AI+ Contest, co-working with Hyson Technology Inc, Taipei Computer Association (Award Percentage < 10%) - Chih-Xiang Hou
- 2021 Excellent Award of AI-Go Contest, co-working with Hyson Technology Inc, Institute for Information Industry and Industrial Dev. Bureau of Ministry of Economic Affairs (17/231 = 7.4%) - Wen-Yi Peng and Yen-Rong Chen
- 2021 AI Cup TW (Scene Text Detection) (10/130=7.7%), Honorable Mention - Wen-Yi Peng, Yen-Rong Chen, and Chih-Xiang Hou
- 2020 AI Cup TW (Farm Produce - Mango Classification) (13/222=5.9%) - Honorable Mention - Yen-Rong Chen, Chih-Xiang Hou, and Wen-Yi Peng
- 2020 AI Hackathon TW, Champion (1/20=5%) - Wen-Yi Peng and Yu-Cheng Lin
- People
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- Current
- Sheng-Wei Cheng, PhD student
- I-Hua Chen, MS student
- Kuo-Yi Yeh, MS student
- Yi-Lin Chen, MS student
- Tzu-Chi Chen, MS student
- Ruei-Shan Shang, MS student
- Ting-Wei Hsu, MS student
- Yu-Chan Tseng, MS student
- Wei-Hua Li, MS student
- He-Hao Liao, MS student
- Chen-Yu Liu, MS student
- Guan-Rong Chen, MS student
- Kun-Tai Wu, MS student
- Chun-Jung Liao, MS student
- Hung-Hsuan Hsiao, MS student
- Shih-Ruei Liang, MS student
- Yu-Cheng Chiu, MS student
- Past
- Wen-Yi Peng, MS, 2022, went to FiberLogic
- Yen-Rong Chen, MS, 2022
- Chih-Xiang Hou, MS, 2022
- Yu-Cheng Lin, MS, 2021, went to TSMC
- Kai-Han Cheng, MS, 2021
- Sha-Wo Huang, MS, 2021, went to MediaTek, Inc.
- I-Sheng Fang, MS, 2020, went to NCTU
- Ching-fu Chen, postDoc, 2020, went to Qualcomm Technologies, Inc.
- Honors/Services
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- Topic Editor, Sensors, Machines, Remote Sensing, Robotics, Journal of Marine Science and Engineering (Topic: Underwater Vision Technology), https://www.mdpi.com/topics/R3U6PHZ69X (2023~2025)
- Guest Editor, Sensors Journal (Special Issue “AI Multimedia Applications”) https://www.mdpi.com/journal/sensors/special_issues/AI_app_M (2021~now)
- Top Reviewers, IEEE Int. Conf. on Multimedia and Expo, 2018
- "Top 10%" Paper Designation, IEEE Int. Conf. on Image Processing, 2015
- 3-year Scholarships for Overseas Study, Ministry of Education, Taiwan, 2011
- Publications
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- Invited Speech & Interview
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- 當人工智慧碰上養殖漁業, 科技大觀園訪問, 2022/12
- 人工智慧在電腦視覺與影像處理上的應用, Customs Administration, Ministry of Finance, Taiwan, 2022/09
- Underwater Salient Object Detection, at Taiwan International Graduate Program (TIGP) of Academia Sinica, 2021/11
- 淺談近期AI影像處理/電腦視覺發展, at Taiwan Intellectual Property Office, 2021/10
- Underwater Salient Object Detection, at Yuan Ze University, 2021/10
- Deep prior guided networks for high dynamic-range image generation, at Institute of Information Systems and Applications, National Tsing Hua University, 2021/04
- 淺談近期AI影像處理發展, 海峽兩岸人工智能技術發展與展望研討會, 2020/09
- Image Restoration: Traditional Image Processing vs. Deep Neural Network-based Methods, at Soochow University, 2020/11
- Deep prior guided networks for high dynamic-range image generation, at Dept. of Computer Science and Information Engineering, National Taiwan Normal University, 2020/11
- Deep Battery Saver - End-to-end Learning for Power Constrained Contrast Enhancement, at Taiwan International Graduate Program (TIGP) of Academia Sinica, 2020/09
- Deep Battery Saver - End-to-end Learning for Power Constrained Contrast Enhancement, at Dept. of Institute of Communications Engineering, National Tsing Hua University, 2020/09
- Deep prior guided networks for high dynamic-range image generation, at Research Center for Information Technology Innovation, Academia Sinica, 2020/06
- Deep Learning for Image Processing Applications, at Taiwan Intellectual Property Office, 2020/05
- Underwater Image Restoration - from Conventional Image Processing to Deep Neural Network based Methods, at Yuan Ze University, 2020/03
- Image Restoration - from Conventional Methods to Deep Learning Models, at Taiwan International Graduate Program (TIGP) of Academia Sinica, 2020/01
- Introduction to video compression and its recent progress, at Yuan Ze University, 2019/12
- Underwater Image Restoration, at Dept. of Electrical Engineering, National Taiwan Ocean University, 2019/12
- Deep Learning: Fundamentals and Applications, at Dept. of Applied Music, Tainan National University of the Arts, 2019/11
- Underwater Image Restoration and Enhancement, at International Forum on AI and its Impacts on Oceanic Technology, at National Taiwan Ocean University, 2019/09
- Image Restoration: Traditional Image Processing vs. Deep Neural Network based Methods, at Research Center for Information Technology Innovation, Academia Sinica, 2019/04
- Image Restoration: Traditional Image Processing vs. Deep Neural Network based Methods, at CSIE Dept. of National Taiwan Normal University, 2018/09