Yung-Chin (Jim) Chen 陳永縉

First Year Ph.D. student in Electrical and Computer Engineering, Princeton University.

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jim.chen.work@gmail.com

I am a first-year Ph.D. student at Princeton University, majoring in electrical and computer engineering. I received my Bachelor of science in EE from National Taiwan University and am honored to be recognized as an honorary member of Phi Tau Phi Scholastic Society, awarded to the top 1% of college graduates. I have had the privilege of working in the Energy-Efficient Circuits and Systems Lab, NTU, advised by Prof. Tsung-Te Liu, and the Computing and Sensing Group, Keio (Japan), advised by Prof. Kentaro Yoshioka.

My research interests span energy-efficient Neural Network (NN) Processing and AI acceleration, with a particular focus on Memory-Centric Architectures and Computing-In-Memory (CIM) Circuits. I am also interested in NN Algorithms and Computer Architectures. I like to design new and cool stuff. In my free time, I like to travel, do some baseball or table tennis, play puzzle-solving games, and explore new dessert shops.

Here is my Curriculum Vitae.

selected publications

  1. ASP-DAC
    OSA-HCIM: On-The-Fly Saliency-Aware Hybrid SRAM CIM with Dynamic Precision Configuration
    Yung-Chin Chen, Shimpei Ando, Daichi Fujiki, Shinya Takamaeda-Yamazaki, and Kentaro Yoshioka
    In Asia and South Pacific Design Automation Conference (ASP-DAC), 2024
    PDF
  2. ICCAD
    PACiM: A Sparsity-Centric Hybrid Compute-in-Memory Architecture via Probabilistic Approximation
    Wenlun Zhang, Shimpei Ando, Yung-Chin Chen, Satomi Miyagi, Shinya Takamaeda-Yamazaki, and Kentaro Yoshioka
    In International Conference on Computer-Aided Design (ICCAD), 2024
    PDF