Yaqing Wang
Research Scientist at Google DeepMind
California, United States
Summary
👤
Senior🎓
Top SchoolYaqing Wang is a Research Scientist at Google DeepMind with 11 years of experience building autonomous AI agents and advancing efficiency in large models across NLP and vision-language domains. He holds a Ph.D. from Purdue and an M.Sc. in Statistics from UC San Diego, and has authored 50+ peer-reviewed papers (ACL, EMNLP, ICML, CVPR, etc.) that have accumulated over 6,000 citations. Before DeepMind he drove research at Microsoft Research and Amazon on parameter-efficient and Mixture-of-Experts architectures and few-shot learning, bridging applied product teams and foundational model research. He contributes to projects like DeepMind’s Gemini/Project Astra and serves on program committees for top conferences including NeurIPS, ICLR, and KDD. Colleagues describe him as someone who combines rigorous theory with practical efficiency hacks—optimizing for both model performance and deployability in real-world systems.
11 years of coding experience
University of California, San DiegoDoctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Purdue UniversityBachelor's degree, Mathematics, Bachelor's degree, Mathematics at Shandong University
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (24)
nlg10
few-shot-learning10
adapter10
machine-learning-algorithms9
nlu9
mixture9
arxiv9
nlp9
roberta9
deep-learning8
korean-nlp8
pytorch8
electra8
allennlp7
machine-learning7
Programming languages (2)
Github contributions (5)
microsoft/LiST
Aug 2021 - Mar 2022
Lite Self-Training
Contributions:26 commits, 2 pushes, 3 comments in 6 months
nlpprompt-basedpytorchnludeep-learning
yaqingwang/WeFEND-AAAI20
Nov 2019 - Jul 2020
Contributions:39 commits, 35 pushes, 3 comments in 8 months
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