Haotong Qin

I am a Postdoctoral Researcher at Center for Project-Based Learning D-ITET, ETH Zürich, working with PD Dr. Michele Magno. Previously, I obtained my Ph.D. degree from the State Key Laboratory of Complex & Critical Software Environment, Beihang University, supervised by Prof. Wei Li and Prof. Xianglong Liu. I was a Visiting Scholar at Computer Vision Laboratory, ETH Zürich. I obtained my B.E. degree from the School of Computer Science and Engineering, Beihang University. I was a Research Scientist Intern at Microsoft Research, Tencent, and ByteDance.

My research interests lie in Efficient Intelligence and Systems. Specifically, I focus on achieving efficient AI/ML using 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). I was awarded by 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. I'm selected as Stanford World's Top 2% Scientists (2025). I am/was an Area Chair for CVPR, NeurIPS, ACM MM, AISTATS, BMVC, IJCNN, etc., a Reviewer for ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, IROS, etc.