Zheng Li
Amazon Store Foundation Modeling (Rufus), Founding Member Lead Scientist
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolZheng Li is a lead scientist and founding member of Amazon’s Rufus foundation modeling team, bringing a decade of applied research and production ML experience to building generative and search-driven systems. With a Ph.D. from HKUST and prior stints on Amazon Search (A9) and Google Research NLX, he blends deep academic grounding with hands-on experience shipping query understanding and large-model features at scale. Based in Palo Alto, he focuses on bridging research and productization—turning novel modeling ideas into robust store and search capabilities. Colleagues rely on him for pragmatic solutions that balance efficiency, relevance, and real-world constraints, and his background includes multi-company research internships that hint at a strong cross-industry collaboration network.
10 years of coding experience
Bachelor of Engineering (B.Eng.) Department of Data and Computer Science, Bachelor of Engineering (B.Eng.) Department of Data and Computer Science at Sun Yat-sen UniversityHong Kong University of Science and Technology (HKUST)
Github Skills (17)
sentiment-classification10
adversarial-learning10
sequence-labeling9
sentiment-analysis9
leaderboard6
evaluation4
natural-language-processing4
nlp4
foundation-models4
deep-learning3
language-model3
information-extraction3
large-language-models3
transfer-learning2
rlhf2
Programming languages (2)
Github contributions (5)
hsqmlzno1/HATN
May 2018 - Sep 2019
Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)
Contributions:51 commits, 4 PRs, 43 pushes in 1 year 3 months
sentiment-classificationdomain-adaptationcross-domain-sentiment
hsqmlzno1/MGAN
Nov 2018 - Nov 2019
Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)
Contributions:26 commits, 2 PRs, 20 pushes in 1 year
sentiment-classificationaspect-based-sentiment-analysisdomain-adaptationcross-domain-sentiment
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