Qingsong Wen
Seattle, Washington, United States
Summary
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RockstarQingsong Wen is Head of AI and Chief Scientist at Squirrel Ai Learning, leading AI research for time-series and education applications from Seattle with a decade of industry and academic impact. Trained in signal processing and ML at Georgia Tech, he pairs early DSP/FPGA and systems engineering experience with modern deep learning to deliver production-grade forecasting, anomaly detection and AIOps solutions. He has authored 60+ papers, filed 10+ patents, served as area chair for NeurIPS/ICML/KDD/IJCAI and holds editorial roles at Neurocomputing and TPAMI, bridging top-tier research and deployed systems. His teams’ work has been adopted at Alibaba at massive scale—tens of millions of calls per day—and he now applies that expertise to personalize learning for tens of millions of students worldwide. Actively involved in IEEE and INNS initiatives on AI for time series and education, he is hiring research talent in Seattle and Shanghai.
10 years of coding experience
Github Skills (41)
timeseries10
classification10
multimodal-deep-learning10
prompt-tuning10
forecasting10
time-series-forecasting10
self-attention10
survey10
anomalydetection10
kubernetes9
pytorch9
python9
imputation9
machine-learning9
time-series9
Programming languages (2)
Github contributions (5)
qingsongedu/awesome-AI-tutorials-surveys
Jun 2022 - Jun 2022
A professional list of Tutorials and Surveys on DL, ML, DM, CV, NLP, Speech in top AI conferences and journals.
Contributions:16 commits, 16 pushes, 1 branch in 6 days
nlpprofessionaldata-sciencedeep-learningdata-mining
qingsongedu/awesome-AI-for-time-series-papers
Jun 2022 - Oct 2022
Contributions:101 commits, 124 pushes, 1 branch in 4 months
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