Haotong Qin
Scholar

Haotong Qin

Google Scholar ID: mK6n-KgAAAAJ
ETH Zürich
TinyMLModel CompressionComputer VisionDeep Learning
Citations & Impact
All-time
Citations
3,221
 
H-index
24
 
i10-index
37
 
Publications
20
 
Co-authors
23
list available
Resume (English only)
Academic Achievements
  • Awarded ByteDance PhD Fellowship, Baidu PhD Fellowship, Zeiss Abbe Fellowship, DAAD AInet Fellowship, MLCommons/Meta ML and Systems Rising Stars, WAIC YunFan Rising Stars, KAUST Rising Stars in AI, Electronics Best PhD Thesis Award, CSIG Best PhD Thesis Award, and the Best Paper Award at IJCAI-GLOW 2025. Selected as Stanford's Top 2% Scientists Worldwide (2025). Served as Area Chair for CVPR, NeurIPS, ACM MM, AISTATS, BMVC, etc., and Program Committee member for ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, IROS, etc.
Research Experience
  • Postdoctoral Researcher at Center for Project-Based Learning, D-ITET, ETH Zürich, working with PD Dr. Michele Magno; Visiting Scholar at Computer Vision Laboratory, ETH Zürich; Research Scientist Intern at Microsoft Research, Tencent, and ByteDance.
Education
  • Ph.D.: State Key Laboratory of Complex & Critical Software Environment, Beihang University, supervised by Prof. Wei Li and Prof. Xianglong Liu; B.E.: School of Computer Science and Engineering, Beihang University.
Background
  • Research interests: Discrete AI, achieving Efficient AI/ML Systems via Extreme Discretization, including compression algorithms (e.g., binarization, quantization), efficient foundation models (e.g., large language models and diffusion models), and their deployment in edge systems (e.g., robotics, embedded hardware).
Miscellany
  • Personal interests and other information not provided.