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
fs9
machine-learning9
bash9
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.
AILab-CVC/UniRepLKNet
Nov 2023 - Oct 2024
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
Contributions:1 PR, 6 pushes, 12 comments in 11 months
architectureartificial-intelligenceconvolutional-neural-networksdeep-learningmultimodal-learning
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