Zhiwei Liu

Senior Applied Scientist at Microsoft AI

Mountain View, California, United States
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Summary

👤
Senior
🎓
Top School
Zhiwei Liu is a Senior Research Scientist at Salesforce with a decade of experience building and researching large-scale ML systems, currently focusing on LLM-augmented agents, recommender systems, and large embedding models. He completed a Ph.D. in Computer Science at UIC and has blended academic rigor with product-focused internships at Instacart, Walmart Labs, and JD.com, working on graph neural networks, product graphs, and visual object detection. At Salesforce he progressed from research intern to research scientist and now senior research scientist, contributing to production-relevant research in industry AI. Based in Palo Alto, he brings both deep theoretical background and practical deployment experience, often bridging prototypes to real-world recommender and embedding pipelines. An interesting thread across his work is using inductive and graph-based methods to make large models more actionable in recommendation and agent settings.
code10 years of coding experience
job5 years of employment as a software developer
bookUniversity of California, San Diego
bookPh.D., Computer Science, Ph.D., Computer Science at University of Illinois Chicago
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Electronic Science and Technology of China
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Github Skills (44)

anomaly-detection10
graph10
natural-language-understanding10
deep-learning10
self-supervised-learning10
natural-language-processing10
computer-vision10
contrastive-learning10
graph-algorithms9
fraud-prevention9
security9
recommender-system9
fraud-detection9
outlier-detection9
graph-convolutional-networks9

Programming languages (2)

TeXPython

Github contributions (5)

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JimLiu96/JSCN

Nov 2018 - Aug 2021

Contributions:27 commits, 25 pushes, 1 branch in 2 years 9 months
JimLiu96/FederatedRS

Apr 2021 - Apr 2021

Papers related to federated learning for recommender system
Contributions:29 commits, 28 pushes, 1 branch in 18 days
federated-learningrecommender-system
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