Haotong Qin
Center for Project-Based Learning D-ITET, ETH Zürich
Office: ETF F110, Sternwartstrasse 7, 8006 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 School of Computer Science and Engineering (SCSE) and Shen Yuan Honors College, Beihang University in 2024, supervised by Prof. Wei Li and Prof. Xianglong Liu. I was a visiting PhD student at Computer Vision Lab, ETH Zürich. I obtained my BSc degree from SCSE, Beihang University in 2019. I interned at ByteDance, Tencent, and Microsoft Research Asia. And I was awarded by 2023 Baidu Scholarship, 2022 ByteDance Scholarship, 2023 KAUST Rising Stars in AI, and 2023 DAAD AInet Fellowship, etc.
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 Program Committee member for ICML'(2023-2024), NeurIPS'2023, ICLR'2024, CVPR'(2023-2024), ICCV'2023, ECCV'2024, etc., and Organizer or Challenge Chair for workshops at CVPR'(2022-2024), AAAI'(2022-2023), and IEEE CAI'2024.
[Challenge] 4th Workshop of Adversarial Machine Learning on Computer Vision @ CVPR 2024