Chenghao Yang
Graduate Research Assistant
Chicago, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolChenghao Yang is a Senior Applied Scientist with a decade of experience specializing in NLP, semantics, knowledge graphs, and information retrieval, currently building Copilot at Microsoft. He holds a PhD in progress from the University of Chicago and has blended academic rigor with industry impact through roles at Google, AWS, IBM and research positions across JHU, Columbia and Tsinghua. His work spans large-language-model research for long-context understanding (Random-Access Transformer) and practical engineering for code-generation systems like AWS CodeWhisperer. Chenghao has published and presented at top venues (TACL, ACL, NAACL) and contributed to robustness and interpretability benchmarks in production-relevant settings. Comfortable moving between pre-training research and deployed model evaluation, he combines deep semantic curiosity with hands-on product delivery. A recurring theme in his career is bridging theoretical insights into scalable systems that improve real-world language understanding.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, GPA: 3.92/4.00 (overall), 3.97/4.00 (major), Rank: 1/149, Bachelor's degree, Computer Software Engineering, GPA: 3.92/4.00 (overall), 3.97/4.00 (major), Rank: 1/149 at Beihang UniversityMaster of Science - MS, Computer Science, GPA: 4.0/4.0, Master of Science - MS, Computer Science, GPA: 4.0/4.0 at Columbia University in the City of New YorkDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at 美国芝加哥大学
Chinese, English, Japanese
Github Skills (88)
pii10
adversarial-attacks10
defense10
mlops10
autoencoder10
textual10
adversarial-learning10
llmops10
xpu10
transformer10
gpt10
nlp10
llama10
amd10
information-theory10
Programming languages (11)
Github contributions (5)
thunlp/TAADpapers
Jun 2019 - Jan 2023
Must-read Papers on Textual Adversarial Attack and Defense
Contributions:6 reviews, 57 commits, 34 PRs in 3 years 7 months
adversarial-learningnlpadversarial-attacksadversarial-machine-learningadversarial
yangalan123/TemporalPointProcessPapers
Aug 2021 - Jan 2023
Paper lists for Temporal Point Process
Contributions:18 commits, 2 PRs, 38 pushes in 1 year 4 months
information-theoryautoencodermachine-learningliststemporal
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