Yanqiao ZHU
Los Angeles, California, United States
Summary
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SeniorYanqiao Zhu is a fourth-year PhD candidate in Computer Science at UCLA with a decade of experience building ML systems that span large language models, scientific discovery applications, and quantitative trading research. Currently a Research Analyst Intern at Point72 and a Research Assistant at an NSF center, Yanqiao blends academic rigor with industry impact, having interned as a Research Scientist at Meta. Their open-source contributions include back-end and model work on PyGCL, adding contrastive learning losses like Barlow Twins and VICReg and improving graph augmentation and training pipelines. Comfortable moving research into production, they have a track record across top labs in the US and China and a knack for translating advanced ML theory into practical tooling for graph and language models.
10 years of coding experience
Github Skills (9)
pytorch10
machine-learning10
python10
deep-learning9
algorithms8
data-structures8
modeling8
data-structure8
trainings8
Programming languages (4)
Github contributions (5)
PyGCL/PyGCL
Jul 2021 - Apr 2022
PyGCL: A PyTorch Library for Graph Contrastive Learning
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:9 reviews, 260 commits, 26 PRs in 9 months
Contributions summary:Yanqiao contributed to the implementation of various contrastive learning models and loss functions, as evidenced by the addition of Barlow Twins and VICReg models and associated loss functions. They also refactored and updated existing augmentation functions for graph contrastive learning. Furthermore, the user made modifications to training scripts, incorporating newly added loss functions and adjusting the training process based on updated configurations.
pytorchcontrastive-learningmachine-learningcontrastivegraph-representation-learning
SXKDZ/awesome-self-supervised-learning-for-graphs
Sep 2020 - Nov 2021
A curated list for awesome self-supervised learning for graphs.
Contributions:43 commits, 1 PR, 40 pushes in 1 year 1 month
pytorchinformation-theorysupervised-learningsuperviseddeep-learning
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