I received a BE degree at Tsinghua University in 2018 and received a MPhil degree at the University of Sydney in 2021. Currently, I am pursuing a PhD degree at the School of Computer Science, the University of Sydney, supervised by Prof. David Dagan Feng, Prof. Jinman Kim, and Prof. Michael Fulham. Recently, I also attended the Institue of Translational Medicine, Shanghai Jiao Tong University, as a visiting scholar, supervised by Prof. Lei Bi.

My research focus is deep learning for medical image analysis, especially in medical image dense prediction and image-based diagnosis/prognosis. My research projects involve medical image registration, segmentation, and reconstruction, and also multi-modal image-based survival prediction and report generation.

I plan to graduate from PhD in early 2025 and am actively looking for academic positions. Please feel free to contact me for any job opportunities or research collaborations!

News

• [08/2024] One paper is accepted by npj Precision Oncology.
• [06/2024] Two papers are accepted by MICCAI 2024.
• [03/2024] Our paper titled Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration is accepted by CVPR 2024 and is selected as Best Paper Award Candidate (Top 24).
• [08/2023] One paper is accepted by European Journal of Nuclear Medicine and Molecular Imaging (EJNMMI).
• [06/2023] Two papers are accepted by MICCAI 2023.
• [09/2022] Our method ranks 2nd in the HECKTOR challenge at MICCAI 2022.
• [07/2022] One paper is accepted by NeuroImage.
• [06/2022] One paper is accepted by MICCAI 2022.
• [06/2022] One paper is accepted by IEEE-JBHI.