Yan Zhang

Research Scientist at Alibaba Group

Zhejiang, China
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Summary

👤
Senior
🎓
Top School
Yan Zhang is a research scientist with nine years of experience specializing in graph mining, network science, and causal inference, currently developing graph learning algorithms for AIoT applications at Alibaba's local services lab. He holds a doctoral degree from ETH Zurich where his work produced novel higher-order graph mining frameworks for modeling firm reputation dynamics and predicting firm success via ownership networks. Yan blends rigorous academic research with practical engineering—cleaning and integrating large-scale graph datasets (Neo4j) and translating models into real-time risk quantification systems. His background spans epidemic and agent-based modeling, strategy consulting, and supply-chain finance risk analysis, reflecting a rare mix of theory, application, and domain breadth. Colleagues describe him as a scientist who connects causal inference and reinforcement learning perspectives to tackle dynamic, networked problems in production settings.
code9 years of coding experience
job5 years of employment as a software developer
bookMaster of Philosophy (MPhil), Adaptive network and control, Master of Philosophy (MPhil), Adaptive network and control at Fudan University
bookSummer School, Summer School at Academy of Mathematics and Systems Science, Chinese Academy of Science
bookDr. sc. ETH Zürich, Dr. sc. ETH Zürich at ETH Zurich
languagesEnglish, Chinese, German
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Github Skills (43)

recommendation-engine10
recommendation-system10
matrix10
machine-learning10
collaborative-filtering10
recommender-system10
ranking10
recommender10
svd10
factorization10
bayesian-deep-learning9
generative9
linear-programming8
scikit8
optimization8

Programming languages (3)

TypeScriptC++Python

Github contributions (5)

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YuyangZhangFTD/zyy_ML-DL

Jan 2017 - Jul 2017

Contributions:32 commits, 30 pushes, 1 branch in 6 months
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
Contributions:119 commits, 107 pushes, 1 branch in 1 year 7 months
luckrecommendationmachine-learningrecsysrecommendation-system
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