AI Multimedia Systems Lab. @ NCCU CS

Yan-Tsung Peng

Department of Computer Science,
National Chengchi University, Taiwan
Office: 200209, Da Ren Building
Email: y t p e n g@ c s . n c c u . e d u . t w

I am an Associate 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 my Ph.D. 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
  • 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
  • Image Processing
  • Video Compression
  • Deep Learning: Fundamentals and Applications
  • Computer Architecture and Organization
Awards of my team
  • 2023 Excellent Teams of Presidential Hackathon International Track (總統杯黑客松國際松), Office of the Taiwan President and Executive Yuan (Award to Hyson Technology,2/60=3.3%)
  • 2023 High Distinction Award (1st-place) of AI Good Contest (數位發展部 AI Good競賽), Institute for Information Industry and Administration for Digital Industries of Ministry of Digital Affairs (3/62=4.8%) - Chen-Yu Liu, Cai Yan Zhuang, and Yu-Ting Cheng
  • 2023 2nd-place of AI Talent Contest (數位發展部AI鬥智賽), Taipei Computer Association and Administration for Digital Industries of Ministry of Digital Affairs (3/180=1.7%) - Chen-Yu Liu, Cai Yan Zhuang, and Yu-Ting Cheng
  • 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
  • Current
    • Sheng-Wei Cheng, PhD student
    • I-Hua Chen, MS student
    • Tzu-Chi Chen, MS student
    • Ruei-Shan Shang, MS student
    • Ting-Wei Hsu, MS student
    • Yu-Chan Tseng, 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
    • Hao-Yang Hsu, MS student
    • Sheng-An Wang, MS student
    • Hsuan-Yu Wu, MS student
    • Yi-Ting Lin, MS student
  • Past
    • Chen-Yu Liu, MS, 2024
    • He-Hao Liao, MS, 2024
    • Yi-Lin Chen, MS, 2024
    • Kuo-Yi Yeh, MS, 2024
    • Wei-Hua Li, MS, 2023, went for a PhD, NTU
    • Wen-Yi Peng, MS, 2022, went to FiberLogic
    • Yen-Rong Chen, MS, 2022, went to ONELab
    • 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 for a MS, NYCU
    • Ching-fu Chen, postDoc, 2020, went to Qualcomm Technologies, Inc.
Honors/Services
  • 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
Invited Speech & Interview
  • Generative AI: Introduction to Image and Text Generation from a Technical Perspective, at Taiwan Intellectual Property Office, 2023/9
  • 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