Kai Shu
Assistant Professor at Emory University
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolKai Shu is an assistant professor and machine learning researcher with eight years of experience focused on data mining, social computing, and societally impactful applications such as disinformation detection, education, and healthcare. He develops interpretable, robust, and fair intelligent learning systems and specializes in learning from limited or noisy data via weak supervision, data generation, meta-learning, and few-shot techniques. His work on representation learning spans text, image, and network modalities with practical domain-adaptation and multi-modal fusion. Prior roles include research positions at Arizona State University and industry internships at Microsoft and Yahoo where he applied weak supervision and network embedding methods to real user traffic and product problems. Now based in Atlanta as faculty at Emory, he blends rigorous PhD-level research with hands-on system building and deployment experience. An often-overlooked strength is his track record of turning noisy social signals into reliable features for real-world tasks like bot and fake-news detection.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Arizona State UniversityComputer Science, Master of Science (M.S.), Computer Science, Master of Science (M.S.) at Chongqing UniversityN/A, Science, N/A, Science at Huanggang Middle School
Chinese, English
Github Skills (3)
natural-language-processing4
dedicated3
machine-learning2
Programming languages (2)
Github contributions (5)
KaiDMML/FakeNewsNet
Aug 2017 - Sep 2021
This is a dataset for fake news detection research
Contributions:26 commits, 20 pushes in 4 years 2 months
newsdatasetfake-news-detectionfake-news
KaiDMML/LingLuo
Aug 2018 - Apr 2019
Contributions:7 pushes, 1 branch in 7 months
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