Research interests of Dr. Zhang cover medical image analysis and deep learning, with special emphasis on continual learning. Specifically, he is deducated to designing continual learning algorithms by leveraging cross-site and cross-task medical data, including domain/task-incremental medical image segmentation, and free-form test time adaptation, with aim at achieving "lifelong" learning towards a universal foundation model for medical image analysis. He is also interested in exploring annotation-efficient learning algorithms with high robustness against noisy and heterogeneous data.
I am looking for passionate and self-disciplined students to conduct research on medical image analysis. Unfortunately, I have no quota to recruit international students.
2016.09-2021.12 上海交通大学-生物医学工程学院 工学博士（导师：顾力栩教授）
2012.09-2016.06 华中科技大学-生物医学工程学院 工学学士（卓越工程师计划）
2022.11 - 2024.09 香港中文大学-计算机科学与工程系 博士后研究员（合作导师：Prof. Pheng-Ann Heng）
2021.10 - 2022.08 上海科技大学-生物医学工程系 博士后研究员（合作导师：沈定刚教授）
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Jingyang Zhang, et al. DC2T: Disentanglement-Guided Consolidation and Consistency Training for Semi-Supervised Cross-Site Continual Segmentation. IEEE Transactions on Medical Imaging (TMI) 2024.
Jingyang Zhang, et al. S3R: Shape and Semantic-based Selective Regularization for Explainable Continual Segmentation across Multiple Sites. IEEE Transactions on Medical Imaging (TMI) 2023.
Jingyang Zhang, et al. Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2022.
Jingyang Zhang, et al. Comprehensive Importance-based Selective Regularization for Continual Segmentation across Multiple Sites. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2021.
Jingyang Zhang, et al. SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation. IEEE International Symposium on Biomedical Imaging (ISBI) 2021.
Jingyang Zhang, et al. Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation. Neurocomputing 2020.
Jingyang Zhang, et al. Vesselness-Constrained Robust PCA for Vessel Enhancement in X-ray Coronary Angiograms. Physics in Medine and Biology (PMB) 2018.
Wei Li, Jingyang Zhang#, et al. Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2024.
Ran Gu*, Jingyang Zhang*, et al. Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2021.
Ran Gu*, Jingyang Zhang*, et al. Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation across Similar Anatomical Structures. IEEE Transactions on Medical Imaging (TMI) 2022.
Peng Xue*, Jingyang Zhang*, et al. Structure-Aware Registration Network for Liver DCE-CT images. IEEE Journal of Biomedical and Health Informatics (JBHI) 2024.
Lei Ma*, Jingyang Zhang*, et al. Construction of Unbiased Dental Template and Parametric Dental Model for Precision Digital Dentistry. Biomedical Signal Processing and Control (BSPC) 2024.
Mianxin Liu*, Jingyang Zhang*, et al. A Common Spectrum Underlying Brain Disorders across Lifespan Revealed by Deep Learning on Brain Networks. iScience 2023.
