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Zipei Yan Email / CV / ORCID / GScholar / LinkedIn / Github I am a PhD candidate in the 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 the Department of Computing of The Hong Kong Polytechnic University (HK PolyU), under the supervision of Dr. Linchuan Xu in 2023, and the BEng degree from Chongqing University of Posts and Telecommunications (CQUPT) in 2020. |
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ResearchMy research interests mainly focus on image processing, signal processing, and applied machine learning. My research works are listed below (* indicates equal contributions). |
Journal articles / letters |
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Unbiased Risk Estimation for Multiplicative Noise Removal
Zipei Yan*, Ting Wang*, Jizhou Li, Chao Wang SIAM Journal on Imaging Sciences, 2026 (to appear) |
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Learning Continuous Neural Representations Enables Scalable and High-fidelity Electron Microscopy
Lin Li*, Feng Zhu*, Zipei Yan, Cheng Zhang, Li Zeng, Xiang Zhou, Fu-Rong Chen, Xiaoyan Zhong, Jizhou Li Cell Reports Physical Science, 2026 (to appear) |
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Unbiased and Nonlocal Linear Regression for Video Denoising under Multiplicative Noise
Zipei Yan, Ting Wang, Chao Wang, Jizhou Li Journal of Mathematical Imaging and Vision, 2026 |
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Data-driven Deformation Correction in X-ray Spectro-tomography with Implicit Neural Networks
Ting Wang*, Zipei Yan*, Hongyi Pan*, Kai Zhang, Michael K-P Ng, Xiqian Yu, Chao Wang, Jizhou Li Patterns, 2026 |
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Hyperspectral and Multispectral Image Fusion with Arbitrary Resolution Through Self-Supervised Representations
Ting Wang*, Zipei Yan*, Jizhou Li, Xile Zhao, Chao Wang, Michael K-P Ng International Journal of Computer Vision, 2025 |
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Compression of Battery X-Ray Tomography Data with Machine Learning
Zipei Yan, Qiyu Wang, Xiqian Yu, Jizhou Li, Michael K-P Ng Chinese Physics Letters, 2024 |
Conference proceedings |
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Prototype Learning for Visual Field Estimation from Fundus Photography in High Myopia
Guoliang Li, Zipei Yan, Zhengji Liu, Shuai Wang, Rachel Ka-man Chun, Yongjin Zhou, Chea-su Kee, Dong Liang MICCAI, 2026 (to appear) |
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Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia
Zipei Yan, Zhile Liang, Zhengji Liu, Shuai Wang, Rachel Chun, Jizhou Li, Chea-su Kee, Dong Liang MICCAI, 2024 |
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Unsupervised Stabilization of Smartphone-based Quantitative Pupillometry for Mobile Emergency Medicine
Ivo John, Zipei Yan, Aleksander Bogucki, Michal Swiatek, Hugo Chrost, Michal Wlodarski, Radosław Chrapkiewicz, Jizhou Li ISBI, 2024 |
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Boosting of Implicit Neural Representation-based Image Denoiser
Zipei Yan, Zhengji Liu, Jizhou Li ICASSP, 2024 |
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VF-HM: Vision Loss Estimation using Fundus Photograph for High Myopia
Zipei Yan*, Dong Liang*, Linchuan Xu, Jiahang Li, Zhengji Liu, Shuai Wang, Jiannong Cao, Chea-su Kee MICCAI, 2023 |
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Feature Alignment and Uniformity for Test Time Adaptation
Shuai Wang, Daoan Zhang, Zipei Yan, Jianguo Zhang, Rui Li CVPR, 2023 |
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Prototype Knowledge Distillation for Medical Segmentation with Missing Modality
Shuai Wang, Zipei Yan, Daoan Zhang, Haining Wei, Zhongsen Li, Rui Li ICASSP, 2023 (Top 3% Recognition) |
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RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation
Zipei Yan, Linchuan Xu, Atsushi Suzuki, Jing Wang, Jiannong Cao, Jun Huang IEEE Big Data, 2022 |
Preprints |
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Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation
Shuai Wang, Zipei Yan, Daoan Zhang, Zhongsen Li, Sirui Wu, Wenxuan Chen, Rui Li arXiv, 2023 |
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Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation
Shuai Wang, Daoan Zhang, Zipei Yan, Shitong Shao, Rui Li arXiv, 2023 |
Service & Teaching |
| Conference Reviewer: MICCAI 2024 / 2025 / 2026, ICIP 2026 |
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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) ENGG 1310 Engineering Physics: Electromagnetics, Optics and Modern Physics (2025-26 Term 2) |
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Last updated: Aug. 2026 Website template adapted from Jon Barron |