| 2026 | ICPR | DECA-Net: A Dual-Encoder Network Leveraging Pre/Post-contrast Comparison for Coronary Artery Segmentation. | Qingxin Ni, Chaolu Feng, Muqing Zhang, Jinzhu Yang |
| 2025 | DASFAA | Structure-Aware Self-supervised Graph Representation Learning. | Lingwen Liu, Peng Cao, Guangqi Wen, Zhuolin Jia, Jinzhu Yang, Weiping Li, Osmar R. Zaane |
| 2025 | MICCAI | ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation. | Xi Chen, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaane |
| 2025 | MICCAI | Structure-Aware MRI Translation: Multi-modal Latent Diffusion Model with Arbitrary Missing Modalities. | Xinzhe Zhang, Junjie Liang, Peng Cao, Jinzhu Yang, Osmar R. Zaane |
| 2025 | MICCAI | BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis. | Liuzeng Zhang, Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaane |
| 2024 | ADMA | An Extended Few-Shot Learning-Based Approach for Histopathological Image Classification of Pan-Cancer in the Digestive System. | Rui Li, Md Mamunur Rahaman, Xiaoyan Li, Hongzan Sun, Jinzhu Yang, Minghe Gao, Marcin Grzegorzek, Tao Jiang, Xinyu Huang, Chen Li |
| 2024 | ICASSP | Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis. | Zhiyong Jin, Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xinrong Zhu, Osmar R. Zaane, Fei Wang |
| 2024 | MICCAI | A Clinical-Oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-Quality Medical Images. | Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Yih Chung Tham, Osmar R. Zaane |
| 2024 | MICCAI | 3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective. | Junjie Liang, Peng Cao, Wenju Yang, Jinzhu Yang, Osmar R. Zaane |
| 2024 | MICCAI | Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis. | Lanting Li, Liuzeng Zhang, Peng Cao, Jinzhu Yang, Fei Wang, Osmar R. Zaane |
| 2024 | MICCAI | Self-paced Sample Selection for Barely-Supervised Medical Image Segmentation. | Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaane |
| 2024 | MICCAI | A Clinical-Oriented Lightweight Network for High-Resolution Medical Image Enhancement. | Yaqi Wang, Leqi Chen, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaane |
| 2024 | MICCAI | Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation. | Yaqi Wang, Peng Cao, Qingshan Hou, Linqi Lan, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaane |
| 2024 | WSDM | Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning. | Lingwen Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaane |
| 2023 | ADMA | csl-MTFL: Multi-task Feature Learning with Joint Correlation Structure Learning for Alzheimer's Disease Cognitive Performance Prediction. | Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaane |
| 2023 | ADMA | Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning. | Guangqi Wen, Peng Cao, Zhiyong Jin, Ruoxian Song, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaane |
| 2023 | ADMA | Label Correlation Guided Feature Selection for Multi-label Learning. | Kai Zhang, Wei Liang, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaane |
| 2023 | IJCAI | Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. | Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaane |
| 2023 | MICCAI | Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis. | Shuai Cheng, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaane |
| 2023 | MICCAI | Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks. | Wei Liang, Kai Zhang, Peng Cao, Pengfei Zhao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaane |
| 2023 | MICCAI | BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis. | Pengshuai Zhang, Guangqi Wen, Peng Cao, Jinzhu Yang, Jinyu Zhang, Xizhe Zhang, Xinrong Zhu, Osmar R. Zaane, Fei Wang |
| 2021 | CIKM | Entity and Relation Matching Consensus for Entity Alignment. | Jinzhu Yang, Ding Wang, Wei Zhou, Wanhui Qian, Xin Wang, Jizhong Han, Songlin Hu |
| 2021 | ICASSP | Aligning the training and evaluation of unsupervised text style Transfer. | Wanhui Qian, Fuqing Zhu, Jinzhu Yang, Jizhong Han, Songlin Hu |
| 2021 | ICASSP | Topic Sequence Embedding for User Identity Linkage from Heterogeneous Behavior Data. | Jinzhu Yang, Wei Zhou, Wanhui Qian, Jizhong Han, Songlin Hu |
| 2021 | ICCS | Unsupervised Text Style Transfer via an Enhanced Operation Pipeline. | Wanhui Qian, Jinzhu Yang, Fuqing Zhu, Yipeng Su, Songlin Hu |
| 2021 | IJCNN | Discovering the Style Information in Texts via A Reinforced Decision Process. | Wanhui Qian, Jinzhu Yang, Songlin Hu |
| 2020 | DASFAA | RE-GCN: Relation Enhanced Graph Convolutional Network for Entity Alignment in Heterogeneous Knowledge Graphs. | Jinzhu Yang, Wei Zhou, Lingwei Wei, Junyu Lin, Jizhong Han, Songlin Hu |
| 2017 | MICCAI | Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's Disease. | Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaane |
| 2013 | IJCNN | CRNN: Integrating classification rules into neural network. | Wei Li, Longbing Cao, Dazhe Zhao, Xia Cui, Jinzhu Yang |
| 2007 | HCI | Study and Application of Medical Image Visualization Technology. | Jihong Liu, Weina Ma, Fei Liu, Ying Hu, Jinzhu Yang, Xinhe Xu |