Xiao Fang

I am a Master's student in Robotics at Carnegie Mellon University. I am fortunate to be advised by Prof. Fernando De La Torre and to work with Prof. Shayok Chakraborty, and Dr. Stanislav Panev.

Previously, I received my Bachelor's degree in Computer Science and Mathematics at The Hong Kong University of Science and Technology. I was fortunate to be advised by Prof. Hao Chen and to work with Prof. Kwang-Ting Cheng, Prof. Dong Zhang, and Dr. Yi Lin.

Email / Scholar / LinkedIn / Twitter / Github

Research

I am broadly interested in computer vision. Currently, I am exploring how to leverage generative models to synthesize useful data for vision tasks. During my undergraduate study, I worked on developing efficient yet effective algorithms for medical image analysis tasks.

	Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision Xiao Fang, Minhyek Jeon, Zheyang Qin, Stanislav Panev, Celso M de Melo, Shuowen Hu, Shayok Chakraborty, Fernando De la Torre ICCV, 2025 Present at ICCV CDEL and HiGen workshops. project page / paper / code / data
	Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation Yi Lin, Xiao Fang, Dong Zhang, Kwang-Ting Cheng, Hao Chen IEEE Transactions on Medical Imaging (TMI), 2025 paper / code
	Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen Medical Image Analysis (MedIA)*, 2025 paper / code
	Aligning Medical Images with General Knowledge from Large Language Models Xiao Fang, Yi Lin, Dong Zhang, Kwang-Ting Cheng, Hao Chen MICCAI, 2024 (Early Accept, Oral, Best FYPs Award) paper / code
	Automatic segmentation of fat metaplasia on sacroiliac joint MRI using deep learning Xin Li, Yi Lin, Zhuoyao Xie, Zixiao Lu, Liwen Song, Qiang Ye, Menghong Wang, Xiao Fang, Yi He, Hao Chen, Yinghua Zhao Insights into Imaging, 2024 paper / code
	Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen IPMI, 2023 paper / code

Honors and Awards

HKUST Academic Achievement Medal, 2024
HKUST CSE Best Final Year Projects (Champion), 2024
The 19^th HKUST Epsilon Fund Award, 2024
The Joseph Lau Luen Hung Charitable Trust Scholarship, 2024
HKUST Scholarship Scheme for Continuing Undergraduate Students (Top 2%), 2022, 2023
HKSAR Government Scholarship Fund - Reaching Out Award, 2023
Lee Hysan Foundation Exchange Scholarships, 2023

Thanks Dr. Jon Barron for sharing the web template.