Shuangyin Li
Postdoctoral Fellow at Department of Computer Science and Engineering, The Hong Kong University of Science and Technology
Hong Kong, China
Summary
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Senior🎓
Top SchoolShuangyin Li is a postdoctoral fellow at HKUST with a decade of experience applying machine learning and text mining to semi-structured documents, resume analytics, and large-scale information retrieval. She holds a PhD from Sun Yat‑Sen University where she developed tag-weighted topic models and contributed papers to IJCAI and ICDM, and has industrial research experience at Microsoft Research Asia on deep models for semi-structured data. Her work spans from building Hadoop-based public opinion and image search platforms to practical resume embedding and NER systems for startups, demonstrating both systems engineering and algorithmic depth. Based in Hong Kong, she blends academic rigor with product-focused implementations, often bridging topic modeling, deep learning, and scalable data processing. An underappreciated strength is her track record of turning theoretical topic-model advances into deployed analytics pipelines for real-world, large-scale datasets.
10 years of coding experience
Bachelor's Degree, Computer Science, 2009, Bachelor's Degree, Computer Science, 2009 at Lanzhou UniversityDoctor of Philosophy (Ph.D.), Text data mining, Artificial Intelligence, Topic Modeling and Deep Learning., 2014, Doctor of Philosophy (Ph.D.), Text data mining, Artificial Intelligence, Topic Modeling and Deep Learning., 2014 at Sun Yat-Sen University
Chinese, English, henanhuaGithub contributions (5)
shuangyinli/RATM
Nov 2016 - Jan 2018
Contributions:8 commits, 6 pushes, 1 branch in 1 year 1 month
shuangyinli/onlineRATM
Apr 2017 - Jun 2020
Contributions:2 pushes, 1 branch in 3 years 2 months
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