Yutai Hou
Research Intern at Microsoft
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolYutai Hou is a PhD-level researcher in Natural Language Processing and Machine Learning with a decade of experience bridging academic rigor and industry impact. Currently a research intern at Microsoft, he applies low-resource ML and NLP to drug discovery, reflecting a rare blend of biomedical application and language-model expertise. His background includes meta-learning for few-shot sequence labeling from a visiting stint at Northwestern and prior research internships at Tencent and Microsoft. Based in Haidian, Beijing, he contributes to large-language-model research within Huawei-related projects while completing doctoral work at Harbin Institute of Technology. Colleagues know him for combining theoretical depth with practical mentorship—he has worked under mentors such as Yingce Xia and Han Liu—and for maintaining an active research homepage that surfaces his experiments and publications. Beyond papers, he focuses on translating few-shot and low-resource techniques into real-world pipelines for high-impact domains like drug discovery.
10 years of coding experience
Bachelor 学士, Computer Science 计算机科学, Bachelor 学士, Computer Science 计算机科学 at Harbin Institute of Technology
Chinese, Chinese
Github Skills (71)
transformers10
language-model10
projection10
python10
natural-language-generation10
lda10
datasets10
deep-learning10
corona10
transformer10
nlp10
jax10
tensorflow10
natural-language-processing10
pytorch10
Programming languages (3)
Github contributions (5)
AtmaHou/Seq2SeqDataAugmentationForLU
Jun 2018 - Oct 2021
Contributions:5 commits, 3 pushes, 1 branch in 3 years 4 months
AtmaHou/MetaDialog
Jun 2020 - Mar 2022
Platform for few-shot natural language processing: Text Classification, Sequene Labeling.
Contributions:1 review, 17 commits, 3 PRs in 1 year 8 months
orangelanguage-processingtext-processingfew-shotnatural-language-processing
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