
Haotong Qin
Center for Project-Based Learning D-ITET, ETH Zürich
Office: ETZ, Gloriastrasse 35, 8092 Zürich, Switzerland
Email: haotong.qin@pbl.ee.ethz.ch
I am a Postdoctoral Researcher at the Center for Project-Based Learning (PBL) D-ITET, ETH Zürich, Switzerland, working with PD Dr. Michele Magno. Previously, I received my Ph.D. degree from the State Key Laboratory of Complex & Critical Software Environment (SKLCCSE), Beihang University, supervised by Prof. Wei Li and Prof. Xianglong Liu. I obtained my B.E. degree from the School of Computer Science and Engineering (SCSE), Beihang University. I interned at Microsoft Research Asia, ByteDance Research, and Tencent WeChat.
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 NeurIPS, ACM MM, AISTATS, BMVC, etc., a Program Committee member for ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, IROS, etc.
[Workshop] Toward Robust Compressed Foundation Models in the Real World @ IJCAI 2025
[Special Issue] Cognitive Robustness of Foundation Models @ Pattern Analysis and Applications