Zipei Yan

Zipei Yan

PhD Student, CUHK

Bio

I am currently a PhD student at Department of Electronic Engineering, The Chinese University of Hong Kong (CUHK), under the supervision of Dr. Jizhou Li. Prior to that, I received the MPhil degree from Department of Computing of The Hong Kong Polytechnic University (HKPolyU), under the supervision of Dr. Linchuan Xu in 2023, and the BEng degree from Chongqing University of Posts and Telecommunications (CQUPT) in 2020. My research interests mainly focus on Image Processing, Signal Processing and Applied Machine Learning.

Publications

(* indicates equal contributions)

Journal articles / letters

  • Ting Wang*, Zipei Yan1,*, Jizhou Li, Xile Zhao, Chao Wang, Michael K-P Ng, “Hyperspectral and Multispectral Image Fusion with Arbitrary Resolution Through Self-Supervised Representations”, International Journal of Computer Vision, 2025.
  • Zipei Yan1, Qiyu Wang, Xiqian Yu, Jizhou Li, Michael K-P Ng, “Compression of Battery X-Ray Tomography Data with Machine Learning”, Chinese Physics Letters, 2024.

Conference proceedings

  • Zipei Yan1, Zhile Liang, Zhengji Liu, Shuai Wang, Rachel Chun, Jizhou Li, Chea-su Kee, Dong Liang, “Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia”, in MICCAI, 2024.
  • 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, “VF-HM: 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. (Top 3% Recognition)
  • 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.

Services

Conference Reviewer: MICCAI 2024, MICCAI 2025

Teaching Assistant at CUHK:

  • ENGG 2030 Signals and Systems (2024-25 Term 1, 2025-26 Term 1)
  • ELEG 3710 Electronic Product Design and Development (2024-25 Term 2)