I am currently a Research Assistant at School of Data Science, City University of Hong Kong (CityU), under the supervision of Dr. Jizhou Li. Prior to that, I received the BEng degree from Chongqing University of Posts and Telecommunications (CQUPT) in 2020, and the MPhil degree from Department of Computing of the Hong Kong Polytechnic University (PolyU), under the supervision of Dr. Linchuan Xu in 2023. My research interests mainly focus on Image Restoration, Medical Image Analysis and Visual Recognition.

Publications

Conference proceedings

• Ivo John, Zipei Yan², Aleksander Bogucki, Michal Swiatek, Hugo Chrost, Michal Wlodarski, Radosław Chrapkiewicz, Jizhou Li, “Unsupervised Stabilization of Smartphone-based Quantitative Pupillometry for Mobile Emergency Medicine”, in ISBI, 2024.
• Zipei Yan¹, Zhengji Liu, Jizhou Li, “Boosting of Implicit Neural Representation-based Image Denoiser”, in ICASSP, 2024.
• Zipei Yan¹, Dong Liang, Linchuan Xu, Jiahang Li, Zhengji Liu, Shuai Wang, Jiannong Cao, Chea-su Kee, “Vision Loss Estimation using Fundus Photograph for High Myopia”, in MICCAI, 2023.
• Shuai Wang, Daoan Zhang, Zipei Yan³, Jianguo Zhang, Rui Li, “Feature Alignment and Uniformity for Test Time Adaptation”, in CVPR, 2023.
• Shuai Wang, Zipei Yan², Daoan Zhang, Haining Wei, Zhongsen Li, Rui Li, “Prototype Knowledge Distillation for Medical Segmentation with Missing Modality”, in ICASSP, 2023.
• Zipei Yan¹, Linchuan Xu, Atsushi Suzuki, Jing Wang, Jiannong Cao, Jun Huang, “RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation”, in IEEE Big Data, 2022.

Preprints

• Shuai Wang, Zipei Yan², Daoan Zhang, Zhongsen Li, Sirui Wu, Wenxuan Chen, Rui Li, “Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation”, arXiv, 2023.
• Shuai Wang, Daoan Zhang, Zipei Yan³, Shitong Shao, Rui Li, “Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation”, arXiv, 2023.