Yuzong Chen

Photo_YuzongChen.jpg

My name is Yuzong Chen, a PhD student in the School of Electrical and Computer Engineering at Cornell University. I am advised by Prof. Mohamed Abdelfattah and affiliated with the Computer Systems Laboratory (CSL). My current research focus on Efficient Hardware Architectures for Sparse and Mixed-Precision Deep Learning Acceleration.

Previously, I received my bachelor’s degree in Electrical & Electronic Engineering from the Nanyang Technological University, Singapore. After graduation, I spent 3 years as a research staff at the Nanyang Technological University (advised by Prof. Tony Tae-Hyoung Kim) and the National University of Singapore (advised by Prof. Heng Chun-Huat).

I am a finalist of the Qualcomm Innovation Fellowship (QiF), 2024.

News

Jan, 2025 I received the Student Travel Grant for HPCA 2025.
Nov, 2024 Our paper BitMoD has been accepted to HPCA 2025.
Jul, 2024 Our paper BBS has been accepted to MICRO 2024.
Oct, 2023 Our paper M4BRAM has been accepted to FPT 2023.
Mar, 2023 Our paper BRAMAC has been accepted to FCCM 2023.
Aug, 2022 Start my PhD study at Cornell University!

Selected Publications

  1. HPCA
    BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration
    Yuzong Chen, Ahmed F. AbouElhamayed, Xilai Dai, Yang Wang, Marta Andronic, George A. Constantinides, and Mohamed S. Abdelfattah
    IEEE International Symposium on High-Performance Computer Architecture
  2. MICRO
    BBS: Bi-directional Bit-level Sparsity for Deep Learning Acceleration
    IEEE/ACM International Symposium on Microarchitecture
  3. FCCM
    BRAMAC: Compute-in-BRAM Architectures for Multiply-Accumulate on FPGAs
    Yuzong Chen, and Mohamed S. Abdelfattah
    IEEE International Symposium on Field-Programmable Custom Computing Machines