I am a Postdoctoral Researcher at the Institute of Advanced Technology. My research focuses on generative models, self-supervised learning, and their applications in medical imaging.
International Conference on Computer Vision (ICCV), 2024 Oral Presentation
We propose a novel GAN architecture capable of synthesizing high-fidelity medical images with controllable attributes. Our method outperforms state-of-the-art approaches in both FID score and radiologist evaluation.
Neural Information Processing Systems (NeurIPS), 2023
This paper introduces a contrastive learning framework that reduces the need for annotated data in semantic segmentation tasks by 40% while maintaining comparable accuracy.
Journal of Machine Learning Research (JMLR), 2022
A comprehensive review of the evolution of Transformer architectures in computer vision, discussing their strengths, limitations, and future directions.