🐑 About Me

I am now a final-year Ph.D. student at Sichuan University (四川大学), advised by Yi Zhang(张意). I’m also a visiting student at A*Star, advised by Joey Tianyi Zhou and Ming Yan. I have published over 40 papers in top-tier journals and conferences, including IJCV, IEEE T-IFS, IEEE T-NNLS, IEEE T-IM, IEEE T-CSVT, IEEE J-BHI, IEEE J-STSP, CVPR, MICCAI, WWW, and others. Additionally, I have served as a reviewer for several prestigious journals and conferences, such as IEEE T-IFS, IEEE T-IP, IEEE T-DSC, IEEE T-MI, IEEE T-MM, IEEE T-NNLS, IEEE T-CSVT, IEEE T-SMCS, IEEE T-II, IEEE T-BC, CVPR, ICCV, and MICCAI, among others.

If you have any advice or are interested in exploring academic collaborations, please feel free to contact me at cziyuanyang@gmail.com. I welcome your insights and look forward to potential collaborations.

My research interests encompass the following areas:

• Biometrics
• Federated Learning
• AI in Healthcare
• AI Security
• AI Efficiency

🔥 News

• 2025.02: 🎉 One paper is accepted by Pattern Recognition! Congrats to Congcong!
• 2025.02: 🎉 One paper is accepted by CVPR!
• 2025.01: 🎉 One paper is accepted by WWW! Congrats to Yongqiang!
• 2024.12: 🎉 Two papers are accepted by ICASSP! Congrats to Yingyu and Mengyu!
• 2024.11: 🎉 Served as Guest Editor for CMC - Computers, Materials & Continua
• 2024.09: 🎉 One paper is accepted by T-RPMS! Congrats to Zexin!
• 2024.09: 🎉 One paper is accepted by CCBR! Congrats to Chengrui!
• 2024.09: 🎉 One paper is accepted by T-IFS!
• 2024.09: 🎉 One paper is accepted by T-IM! Congrats to Aohua!
• 2024.07: 🎉 One paper is accepted by T-CSVT! Congrats to Zhiwen!
• 2024.06: 🎉 One paper is accepted by MICCAI!
• 2024.05: I’m now a visiting student at A*Star, Singapore.
• 2024.04: 🎉 One paper is accepted by IJCV!

💻 Selected Publications

My full paper list can be found at my Google Scholar.

👶🏻 Biometrics

• TIFS Comprehensive Competition Mechanism in Palmprint Recognition.
  Ziyuan Yang, Huijie Huangfu, Lu Leng et al. IEEE Transactions on Information Forensics and Security, 2023. |
• TIM CO3Net: Coordinate-Aware Contrastive Competitive Neural Network for Palmprint Recognition.
  Ziyuan Yang, Wenjun Xia, Yifan Qiao et al. IEEE Transactions on Instrumentation and Measurement, 2023. |
• AIRE Multi-order Texture Features for Palmprint Recognition.
  Ziyuan Yang, Lu Leng Bob Zhang et al. Artificial Intelligence Review, 2023. |

☁️ Federated Learning

• CVPR Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model.
  Ziyuan Yang, Yingyu Chen, Zhiwen Wang, et al. IEEE / CVF Computer Vision and Pattern Recognition Conference, 2025.|
• IJCV Physics-Driven Spectrum-Consistent Federated Learning for Palmprint Verification.
  Ziyuan Yang, Andrew Beng Jin Teoh, Bob Zhang, et al. International Jouranl of Computer Vision, 2024.|
• TNNLS Hypernetwork-based Physics-Driven Personalized Federated Learning for CT Imaging.
  Ziyuan Yang, Wenjun Xia, Yingyu Chen, et al. IEEE Transactions on Neural Networks and Learning Systems, 2023.|
• JBHI Dynamic Corrected Split Federated Learning with Homomorphic Encryption for U-shaped Medical Image Networks.
  Ziyuan Yang, Yingyu Chen, Huijie Huangfu et al. IEEE Journal of Biomedical and Health Informatics, 2023.|

🔒 Security and Privacy Analysis

• TIFS A Dual-Level Cancelable Framework for Palmprint Verification and Hack-Proof Data Storage.
  Ziyuan Yang, Ming Kang, Andrew Beng Jin Teoh, et al. IEEE Transactions on Information Forensics and Security, 2024.|
• MICCAI Inject Backdoor in Measured Data to Jeopardize Full-Stack Medical Image Analysis System
  Ziyuan Yang, Yingyu Chen, Mengyu Sun, et al. International Conference on Medical Image Computing and Computer Assisted Intervention, 2024.
• KBS Cross-database Attack of Coding-based Palmprint Template.
  Ziyuan Yang, Lu Leng, Andrew Beng Jin Teoh, et al. Knowledge-Based Systems, 2023

🏥 AI in Healthcare

• TCSVT Generalizable MRI Motion Correction via Compressed Sensing Equivariant Imaging Prior.
  Zhiwen Wang, Maosong Ran, Ziyuan Yang, et al. IEEE Transactions on Circuits and Systems for Video Technology, 2024. |
• TNNLS SOUL-Net: A Sparse and Low-Rank Unrolling Network for Spectral CT Image Reconstruction.
  Xiang Chen, Wenjun Xia, Ziyuan Yang, et al. IEEE Transactions on Neural Networks and Learning Systems, 2023.
• TRPMS RegFormer: A Local-Nonlocal Regularization-Based Model for Sparse-View CT Reconstruction.
  Wenjun Xia, Ziyuan Yang, Zexin Lu, et al. IEEE Transactions on Radiation and Plasma Medical Sciences, 2023. |

🎖 Honors and Awards

• IEEE Transactions on Medical Imaging Distinguished Reviewer
• Scholarship by China Scholarship Council
• 2023, 2024 National Scholarship
• Provincial Outstanding PhD Graduates
• Outstanding Provincial Master’s Thesis
• Outstanding PhD Graduates of Sichuan University
• 2023, 2024 Outstanding Graduate Student
• Rank #2 in IJCB 2023 Competition (SynFacePAD-2023)
• 2023-2025 First-Class Academic Scholarship
• 2020, 2021 Provincial Scholarship
• 2020-2021 Special-Class Academic Scholarship

📖 Education

• 2021.09 - Present, Ph.D., College of Computer Science, Sichuan Univeristy, Chengdu.
• 2018.09 - 2021.06, M.E., School of Information Engineering, Nanchang University, Nanchang.
• 2014.09 - 2018.06, B.E., School of Software, Nanchang Hangkong University, Nanchang.

📂 Experience

• 2024.05 - Present, Visiting Ph.D., Centre for Frontier AI Research (CFAR), A*STAR, Singapore.

💻 Project

• LLM-Guided Low-Dose CT Reconstruction, $500,000 (RMB), PI.

💬 Talks

• “Privacy and Security in Medical Imaging” – Presented at Nanyang Technological University, hosted by Prof. Yeo’s research group.

💼 Service

Editor

Guest Editor for CMC - Computers, Materials & Continua

Journal Reviewer

IEEE T-IP, IEEE T-IFS, IEEE T-DSC, IEEE T-MI, IEEE T-MM, IEEE T-NNLS, IEEE T-ASL, IEEE T-CSVT, IEEE T-SMCS, IEEE T-II, IEEE T-BC, IEE SPL, IEEE IoTJ, IEEE Sens-J, IEEE J-BHI, AIRE, AIME, IET CV / SP / Biom, etc.

Conference Reviewer

CVPR, ICCV, ICME, MICCAI, EMNLP, IJCNN, ISBI, WCCI, etc.

Acknowledgements

I would thank all my collaborators and advisors, they helped me a lot.