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.
10 years of coding experience
5 years of employment as a software developer
University of California, San Diego
Ph.D., Computer Science, Ph.D., Computer Science at University of Illinois Chicago
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Electronic Science and Technology of China
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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