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), hardware acceleration (e.g., hardware-aware architecture search), 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] The 5th Workshop of Adversarial Machine Learning @ CVPR 2025
[Special Issue] Model Compression in the Era of Large Language Models @ Neural Networks