Currently, I am a Ph.D. in Electronic Engineering at The Chinese University of Hong Kong, under the supervision of Professor Yixuan Yuan. Prior to this, I earned a Masterโ€™s degree in Engineering from Shanghai Jiao Tong University and a Bachelorโ€™s degree in Engineering from Tianjin University.


I have some research experience in medical/optical/SAR image processing and the anti-rotation interference capability of neural networks. Currently, I am exploring how to utilize AI for work related to the gut-brain axis.


Please feel free to contact me at 1155255420@link.cuhk.edu.hk for any communications related to my researches or anything else that I can help with.


๐Ÿ”ฅ News

  • 2025.08๏ผšย ๐ŸŽ‰๐ŸŽ‰ Feel happy and honored for joining Professor Yuanโ€™s lab at The Chinese University of Hong Kong! ๐Ÿ˜„
  • 2025.05๏ผšย ๐ŸŽ‰๐ŸŽ‰ Feel honored to have been awarded the title of Shanghai Outstanding Graduate๏ผ๐Ÿฎ
  • 2025.01๏ผšย ๐ŸŽ‰๐ŸŽ‰ After 425 days, the article has finally been accepted by TIP!!! โœจ
  • 2024.11๏ผšย ๐ŸŽ‰๐ŸŽ‰ Feel happy for receiving National Scholarship! ๐Ÿ˜„
  • 2024.10๏ผšย ๐ŸŽ‰๐ŸŽ‰ Feel happy for being honored as The Merit Student of Shanghai Jiao Tong University! ๐Ÿ˜„
  • 2023.12๏ผšย ๐ŸŽ‰๐ŸŽ‰ It was my honor to receive first-class academic scholarship from Shanghai Jiao Tong University. ๐Ÿฎ
  • 2023.11๏ผšย ๐ŸŽ‰๐ŸŽ‰ It was my honor to receive the COSCO Shipping Scholarship from Shanghai Jiao Tong University. ๐Ÿฎ
  • 2022.09: ย ๐ŸŽ‰๐ŸŽ‰ Admitted by the School of Electronic Information and Electrical Engineering(SEIEE) of Shanghai Jiao Tong University! โœจ
  • 2022.06: ย ๐ŸŽ‰๐ŸŽ‰ Feel happy for graduation from TJU! ๐Ÿ˜„


๐ŸŽ“ Educations

  • 2025.03-present: ย  Ph.D. in CUHK. Major: Electronic Engineering
  • 2022.09-2025.03: ย  Master student in SJTU. Major: School of Electronic Information and Electrical Engineering
  • 2018.09 -2022.06: ย  Undergraduate student in TJU. Major: Electrical Engineering


๐Ÿ“ Publications

TIP 2025
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PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation

Xinyu Xu, Huazhen Liu, Huilin Xiong, Wenxian Yu, Tao Zhang*.

IEEE Transactions on Image Processing, 2025.01

Website

  • Universal rotation equivariant convolution-group framework
  • Component for replacing convolution


TCSVT under reveiew 2024
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Rotation Perturbation Robustness in Point Cloud Analysis: A Perspective of Manifold Distillation

Xinyu Xu, Feiming Wei, Huilin Xiong, Wenxian Yu, Tao Zhang*.

IEEE Transactions on Circuits and Systems for Video Technology, 2024.08(In Peer Review)

Website

  • Online distillation
  • Robustness against the rotation perturbation


Frontiers 2025
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Deep ensemble learning-driven fully automated multi-structure segmentation for precision craniomaxillofacial surgery

Jiahao Baoโ€ , Zongcai Tanโ€ , Yifeng Sunโ€ , Xinyu Xuโ€ , et al.

Frontiers in Bioengineering and Biotechnology, 2025.04

Website

  • Segmentation of craniomaxillofacial structures
  • Ensemble learning


GRSL 2023
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An Information-expanding Network for Water Body Extraction based on U-net

Xinyu Xu, Weiwei Guo, Zenghui Zhang, Tao Zhang*.

IEEE Geoscience and Remote Sensing Letters, 2023

Website

  • Rotation equivariant convolution
  • Rotation-based channel attention mechanism


IGARSS 2024
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Flood Change Detection Based on Prior Feature Estimation

Xinyu Xu, Mingkang Xiong, Sinong Quan, et al.

IEEE International Geoscience and Remote Sensing Symposium, 2024

Website

  • Heterogeneous image
  • Change detection


PIERS 2023
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PolSAR Ship Detection with the Information Reconstruction-based Polarimetric Covariance Matrix

Xinyu Xu, Tao Zhang, Zenghui Zhang, Weiwei Guo, and Wenxian Yu.

PhotonIcs and Electromagnetics Research Symposium, 2023

Website

  • PolSAR ship detection
  • Yamaguchi 4-decomposition


IGARSS 2023
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Water Body Detection Based on an Improved U-Net

Xinyu Xuโ€ , Huazhen Liuโ€ , Zenghui Zhang, Weiwei Guo, Tao Zhang*

IEEE International Geoscience and Remote Sensing Symposium, 2023

Website

  • Water body Segmentation
  • Rotation equivariance


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