Qibin Chen
OpenAI, China
Summary
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RockstarQibin Chen is a machine learning engineer with nine years of experience, currently a Member of Technical Staff at OpenAI after founding work on Apple's Foundation Model post-training team. He combines a strong academic background from Carnegie Mellon and Tsinghua with hands-on research in representation learning, NLP, and software engineering applications, including contrastive and graph representation learning, knowledge graphs, and open-domain question answering. At Apple he helped operationalize large-model workflows, and his open-source contributions to graph deep learning projects (e.g., CogDL) show a focus on robust data loading and graph neural network components. Co-advised by prominent researchers during his MS, he brings both rigorous research methodology and production-oriented engineering to ML system design. Based in the Bay Area, he’s also exploring parallel computing and distributed systems to better scale ML infrastructure.
9 years of coding experience
Github Skills (4)
graph-neural-network10
data-handling10
python10
pytorch10
Programming languages (7)
Github contributions (5)
THUDM/CogDL
Mar 2019 - Jan 2020
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:48 commits, 1 PR, 23 pushes in 9 months
Contributions summary:Qibin's commits primarily focus on updating and improving the `kegraph/data/data.py` and `kegraph/datasets/entities.py` files. The code changes include modifications to data handling and dataset processing, demonstrating a focus on the data loading and management aspects of the project. Further contributions involve work on the `cognitive_graph` module, particularly in areas related to graph neural networks, with commits addressing the model, and link_prediction.
deep-learninggraphgraph-neural-networkspytorchgraph-embedding
qibinc/Facemash2
May 2017 - Jun 2017
Contributions:25 commits, 4 pushes in 1 month
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