Doctoral Student at ELLIS - European Laboratory for Learning and Intelligent Systems
Tübingen, Baden-Württemberg, Germany
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Summary
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Haiwen Huang is a doctoral researcher at ELLIS and the University of Tübingen specializing in out-of-distribution generalization for vision and vision–language models, with nine years of research experience spanning academia and industry. His work bridges foundational computer vision and practical robustness—recent papers include an ICCV 2025 oral on coordinate-based upsampling and NeurIPS 2024 contributions to open-vocabulary segmentation benchmarks. He has applied these ideas at MEGVII on billion-scale face recognition annotation and OOD detection, and briefly extended multimodal video reasoning as a student researcher at Google. Trained in mathematics at Peking University and with an MSc (Distinction) from Oxford, he combines rigorous theory and empirical methods to pursue AI that respects human dignity. An extra thread in his profile is a broad intellectual curiosity in macroeconomics and political theory, which informs a systems-level view of AI impacts.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Distinction, Master of Science - MS, Computer Science, Distinction at University of Oxford
Bachelor's degree, Mathematics, 3.75/4.0, Bachelor's degree, Mathematics, 3.75/4.0 at Peking University
Exchange, MATHEMATICS AND STATISTICS, 4.0/4.0, Exchange, MATHEMATICS AND STATISTICS, 4.0/4.0 at University of California, Los Angeles
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Haiwen Huang - Doctoral Student at ELLIS - European Laboratory for Learning and Intelligent Systems