Haotong Qin

I am a Postdoctoral Researcher at Center for Project-Based Learning (PBL) D-ITET, ETH Zürich, working with PD Dr. Michele Magno. Previously, I received my Ph.D. degree from the State Key Lab of Complex & Critical Software Environment (SKLCCSE), Beihang University, supervised by Prof. Wei Li and Prof. Xianglong Liu. I was a visiting PhD student at Computer Vision Lab (CVL), ETH Zürich. I obtained my B.E. degree from the School of Computer Science and Engineering (SCSE), Beihang University. 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's Top 2% Scientists Worldwide (2025).

My research interest broadly includes efficient machine learning. Specifically, I focus on deep model compression (e.g., binarization, quantization, and distillation), efficient generative models (e.g., efficient large language models and diffusion models), embodied computing (e.g., robotics, autonomous driving), low-power embedded systems (e.g., machine learning for microcontrollers), etc. I am/was an Area Chair for CVPR, NeurIPS, ACM MM, AISTATS, BMVC, etc., a Program Committee member for ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, IROS, etc.