Yiyuan Zhang
Graduate Student
Hong Kong Island, Hong Kong, China
Summary
🤩
Rockstar🎓
Top SchoolYiyuan Zhang is a graduate student and Ph.D. researcher based in Hong Kong with five years of hands-on experience in ML systems and MLOps. At Zhejiang University and MMLab he focuses on making large-model training and deployment more efficient, contributing to tooling that adds FSDP, gradient checkpointing, and push-to-hub workflows. He’s practical in refining training scripts and configurations—tuning learning rates, batch sizes, and output pipelines—to move research prototypes toward reproducible, production-ready runs. Colleagues note his collaborative approach to code refinement and his knack for streamlining complex training setups.
5 years of coding experience
Zhejiang University
Github Skills (14)
pytorch10
mlops10
trainings10
python10
modeling10
machine-learning9
bash9
fs9
script9
qx8
qq8
git5
docker4
dockers4
Programming languages (1)
Github contributions (5)
simplescaling/s1
Feb 2025 - Feb 2025
s1: Simple test-time scaling
Role in this project:
MLOps Engineer
MLOps EngineerContributions:5 reviews, 1 PR, 6 comments in 1 day
Contributions summary:Yiyuan primarily focused on modifying training scripts and configurations for a machine learning model. Their contributions include updating training parameters like learning rates, batch sizes, and output directories. They also worked on incorporating features such as FSDP, gradient checkpointing, and push-to-hub functionalities, indicating an effort to streamline model training and deployment processes. Additionally, the user collaborated with another developer on refining the training script and commenting on the code.
simpletest
AILab-CVC/UniRepLKNet
Nov 2023 - Aug 2025
[CVPR 2024 & TPAMI 2025] UniRepLKNet
Contributions:1 PR, 7 pushes, 12 comments in 1 year 8 months
architectureartificial-intelligenceconvolutional-neural-networksdeep-learningmultimodal-learning
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