Haotong Qin
Center for Project-Based Learning D-ITET, ETH Zürich
Office: ETZ D 97.4, Gloriastrasse 35, 8092 Zürich, Switzerland
Email: qinhaotong@gmail.com
I am a Postdoctoral Researcher at the Center for Project-Based Learning (PBL), 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 in 2024, 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 in 2019. I interned at ByteDance AI Lab, Tencent WXG, and Microsoft Research Asia.
My research interest broadly includes efficient deep learning. Specifically, I focus on deep model compression (e.g., network binarization, quantization, and distillation), efficient generative model (e.g., efficient large language models and diffusion models), neuromorphic computing (e.g., spiking neural network), hardware acceleration (e.g., hardware-aware architecture search), etc. I am/was an Area Chair for BMCV'2024 and AISTATS'2025, a Program Committee member for ICML'(2023-2024), NeurIPS'(2023-2024), ICLR'(2024-2025), CVPR'(2023-2024), ICCV'2023, ECCV'2024, etc., and an Organizer or Challenge Chair for workshops at CVPR'(2022-2024), AAAI'(2022-2023), and IEEE CAI'2024.