Education:

• 清華大學資訊工程博士

Ph.D., Dept. of Computer Science, National Tsing-Hua University

Experience:

• 研究發展處副研發長 Associate Vice President of Office of Research and Development (2022.8.1~now)

• 創新育成中心主任 Executive Director of Innovation & Incubation Center (2022.8.1~now)

• 產業聯絡中心主任 Executive Director of Industry Liaison Center (2022.8.1~now)

• AI 跨域應用研究所副所長Deputy Director, Graduate Institute of AI Interdisciplinary Applied Technology(2023.8.1~now)

• 電機工程學系主任 Chair, Dept. of Electrical Engineering (2019.8~2022.7) 

• 進修推廣學院資訊組組長 (2014.8~2018.7)

Research Interests:

• Deep Learning:

  • Fine-grined visual classification

    • Fine-grained Visual Classification with High-temperature Refinement and Background Suppression, Rank #1 in CUB-200-2011 and NABirds (https://paperswithcode.com/sota/fine-grained-image-classification-on-cub-200)

    • A Novel Plug-in Module for Fine-grained Visual Classification (https://github.com/chou141253/FGVC-PIM),
      Rank #3 in CUB-200-2011 and NABirds (https://paperswithcode.com/paper/a-novel-plug-in-module-for-fine-grained)

  • SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes, Rank #1
    (https://codalab.lisn.upsaclay.fr/competitions/12424#results).

  • Out-of-distribution detection

    • An Efficient Data Augmentation Network for Out-of-Distribution Image Detection (https://github.com/majic0626/Data-Augmentation-Network)

  • Action Recognition

  • Fine-grined action recognition

  • License Plate Recognition

• Internet of Thing: Buddy project [Link]

• Parallel computation and GPU programming

  • PFAC library --- a powerful GPU-based exact string pattern matching library (https://github.com/pfac-lib/pfac)

  • Perfect Hashing based PFAC (https://github.com/brucelinco/Perfect-hashing-based-PFAC-on-GPUs)

  • PFAC on CPU (https://github.com/brucelinco/Parallel-Failureless-AC-on-CPU)

 Awards:

• AI CUP 2023 教育部全國大專院校人工智慧競賽春季賽-教電腦看羽球競賽金牌與最佳論文獎，周柏永、謝博政、羅郁鈞

• 112 學年度科技與工程學院教學優良教師(2024 Teaching Award in College of Technology and Engineering, NTNU)

• 111年度學術論文暨專書獎助

• 2021 XILINX PYNQ AI/IOT HACKATHON 第二名，學生林翊丞、羅文頡、李品賢(An Efficient Approach for Traffic Flow Detection and Tracking)

• 2021 XILINX PYNQ AI/IOT HACKATHON 第三名，學生張曜璿、林子涵(實現於PYNQ Z2 開發板之車牌辨識系統)

• 109年度學術論文暨專書獎助

• 108年度學術論文暨專書獎助

• 108年產學合作暨研發成果推廣績優獎

• 107年度學術論文暨專書獎助

• 105 學年度科技與工程學院教學優良教師(2017 Teaching Award in College of Technology and Engineering, NTNU)

• Best paper runner up award in ICPAI 2020 ，學生周柏永、林承憲、蔡旻諺 (SlowFast-GCN: A Novel Skeleton-Based Action Recognition Framework )

• Best Conference Paper Award in IEEE ICASI 2018, 學生：謝政宏 (題目:A Novel Hierarchical Parallelism for Accelerating NIDS Using GPUs )

• First Prize Paper Award in IEEE ICASI 2017, 學生：劉暐辰 (題目:A Hierarchical License Plate Recognition System Using Supervised K-means and Support Vector Machine)

• Best Paper Finalist in IEEE SCAC 2014, 學生：Guan-Hong Wang, and Chun-Cheng Huang (題目: "Hierarchical Parallelism of Bit-Parallel Algorithm for Approximate String Matching on GPUs)