Zhengyang Patrick Wang

PhD Candidate @ UC Santa Barbara

prof_pic.jpg

šŸ‘‹ Hi

My name is Zhengyang (Patrick) Wang (ēŽ‹ę­£é˜³). I’m a fourth-year PhD candidate in Computer Science at the University of California, Santa Barbara (UCSB), advised by Zheng Zhang. I also worked with Yuan Xie and Yufei Ding. I received my B.S. degree in Computer Science from the University of Science and Technology of China (USTC).

šŸ”¬ Research Interest

My research focuses on improving the efficiency of large-scale pre-training. I am particularly interested in distributed training performance optimization, memory management, and algorithm-system co-design.

News

Jun 29, 2026 I have started my internship at NVIDIA at End-to-End Training Team, working with Dingqing Yang šŸŽ‰šŸŽ‰šŸŽ‰.
Jan 26, 2026 šŸŽ‰ BOOST is accepted to MLSys 2026!
Aug 20, 2025 šŸŽ‰ CoLA is accepted to EMNLP 2025 as an oral!
Feb 01, 2025 I am visiting Argonne National Laboratory as a technical research aid, working with Bogdan Nicolae, Franck Cappello, and Paul Hovland šŸŽ‰šŸŽ‰šŸŽ‰.
Jun 24, 2024 I have started my research scientist internship at Meta AI-System Codesign Team, working with Sarunya Pumma šŸŽ‰šŸŽ‰šŸŽ‰.

Selected Publications

  1. MICRO
    Rm-stc: Row-merge dataflow inspired gpu sparse tensor core for energy-efficient sparse acceleration
    Guyue Huang, Zhengyang Wang, Po-An Tsai, and 3 more authors
    In MICRO 2023. Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, Oct 2023
  2. EMNLP
    Cola: Compute-efficient pre-training of llms via low-rank activation
    Ziyue Liu*, Ruijie Zhang*, Zhengyang Wang*, and 5 more authors
    In EMNLP 2025 (oral), 2025
  3. MLSys
    BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models
    Zhengyang Wang*, Ziyue Liu*, Ruijie Zhang, and 5 more authors
    In MLSys 2026, 2025