Zhongming Yu

UCSD CSE. Ph.D.

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San Diego, California

I am a third-year Ph.D. advised by Prof. Jishen Zhao in Computer Science and Engineering Department of UC San Diego, starting in 2022. I am now aiming to build efficient systems for machine learning. Before coming to UCSD, I received my B.E. degree from the Department of Electronic Engineering at Tsinghua University. I have a broad interest in combining machine learning and computer systems, with a special focus on the interaction between ML and System. I have previously focused on more acceleration for sparse computing (e.g. GNN, Pointcloud acceleration) and devoted myself to some open-source projects like dgSPARSE and CogDL. Now I am working on agent framework that could help design better system. Some topics that I have been working on are listed below:

  • High-performance GPU Kernels
  • Machine Learning Compiler
  • Autonomous Software Engineering (SWEBench)
  • LLM Agent System

Feel free to contact me if you share any common interests.

selected publications

  1. mlsys
    Understanding gnn computational graph: A coordinated computation, io, and memory perspective
    Hengrui Zhang*, Zhongming Yu*, Guohao Dai, and 4 more authors
    Proceedings of Machine Learning and Systems, 2022
    * stands for equal contribution
  2. mlsys
    HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs
    Zhongming Yu, Guohao Dai, Shang Yang, and 6 more authors
    Proceedings of Machine Learning and Systems, 2023
  3. mlsys
    Exploiting Hardware Utilization and Adaptive Dataflow for Efficient Sparse Convolution in 3D Point Clouds
    Ke Hong*, Zhongming Yu*, Guohao Dai, and 4 more authors
    Proceedings of Machine Learning and Systems, 2023
    * stands for equal contribution