CV

See my full CV in the right PDF.

General Information

Full Name Yu-Cheng (Peter) Wu
Languages Chinese, English
Interests Efficient AI, ML for CAD & CAD for ML Systems

Education

  • 2019 - 2023
    Bachelor of Science in Engineering
    Dept. of Electrical Engineering, National Taiwan University (NTU), Taipei, Taiwan
    • Last-60-credit GPA - 4.19/4.3 (3.99/4.0)
    • Cumulative GPA - 3.99/4.3 (3.87/4.0)

Experience

  • 2022 - 2023
    Research Assistant, Undergraduate Researcher
    Cyber-Physical Systems Lab, NTU
    • Advised by Prof. Chung-Wei Lin.
    • Automated design space exploration for Cyber-Physical Systems complying with Time-Sensitive Networking by deep reinforcement learning.
      • The first-authored paper is accepted to the 2024 ATVA.
    • Assisted in another work about distributed task-offloading for vehicular edge computing.
  • 2021 - 2023
    Undergraduate Researcher
    Access IC Lab, NTU
    • Advised by Prof. An-Yeu (Andy) Wu, IEEE Fellow.
    • Enabled energy-aware and dynamic deep learning inference on hybrid Near/In-Memory Computing architecture by deep reinforcement learning.
      • Published the first-authored paper at the 2023 IEEE SOCC with oral presentation.
  • 2022
    Intern Software Engineer
    Conformal ECO Team, Cadence, Hsinchu, Taiwan
    • Optimized the Conformal ECO designer, which supports RTL engineering change orders for pre/post-mask designs.
  • 2020 - 2022
    Undergraduate Researcher
    Applied Logic and Computation Lab, NTU
    • Advised by Prof. Jie-Hong Roland Jiang.
    • Researched binary-encoding-based output layer dimension reduction for Deep Neural Networks.
    • Researched circuit synthesis methodology based on stochastic computing for Deep Neural Networks.

Honors

  • 2022
    • Finalist of NSTC Research Grant for University Students
  • 2017
    • Regional Representative for APMO

Extracurricular Activities

  • 2019 - 2023
    Captain in 2021/2022, Member
    Varsity Male Badminton Team, NTU
    • Created a database system in collaboration with the School of Physical Therapy for training customization and injury prevention.
    • Led the team to the 2021 National Intercollegiate Athletic Games semi-finals.
  • 2019
    Technical Volunteer
    Taiwan Association for Visually Impaired People, New Taipei City, Taiwan
    • Created a deep-learning-based system to convert physical books to audiobooks for visually impaired students.