Sparsity Preserving Canonical Correlation Analysis. - Chen Zu; Daoqiang Zhang (CCPR, 2012)

Learning mid-perpendicular hyperplane similarity from cannot-link constraints. - Shan Gao; Chen Zu; Daoqiang Zhang (Neurocomputing, 2013)

The New Graph Kernels on Connectivity Networks for Identification of MCI. - Biao Jie; Xi Jiang 001; Chen Zu; Daoqiang Zhang (MLINI@NIPS, 2014)

Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease. - Chen Zu; Biao Jie; Songcan Chen; Daoqiang Zhang (MLINI@NIPS, 2014)

Reliability Guided Forward and Backward Patch-Based Method for Multi-atlas Segmentation. - Liang Sun 009; Chen Zu; Daoqiang Zhang (Patch-MI@MICCAI, 2015)

Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification. - Tingting Ye; Chen Zu; Biao Jie; Dinggang Shen; Daoqiang Zhang (PRNI, 2015)

Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease. - Zhengxia Wang; Xiaofeng Zhu 001; Ehsan Adeli 001; Yingying Zhu 004; Chen Zu; Feiping Nie 001; Dinggang Shen; Guorong Wu 001 (MICCAI (1), 2016)

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph. - Chen Zu; Yue Gao 002; Brent C. Munsell; Minjeong Kim; Zi-Wen Peng; Yingying Zhu 004; Wei Gao; Daoqiang Zhang; Dinggang Shen; Guorong Wu 001 (MLMI@MICCAI, 2016)

Canonical sparse cross-view correlation analysis. - Chen Zu; Daoqiang Zhang (Neurocomputing, 2016)

Margin Distribution Logistic Machine. - Yi Ding; Sheng-Jun Huang; Chen Zu; Daoqiang Zhang (SDM, 2017)

Iterative sparsity score for feature selection and its extension for multimodal data. - Chen Zu; Linling Zhu; Daoqiang Zhang (Neurocomputing, 2017)

Robust multi-atlas label propagation by deep sparse representation. - Chen Zu; Zhengxia Wang; Daoqiang Zhang; Peipeng Liang; Yonghong Shi; Dinggang Shen; Guorong Wu 001 (Pattern Recognit., 2017)

Tumor segmentation via multi-modality joint dictionary learning. - Yan Wang 015; Biting Yu; Lei Wang 001; Chen Zu; Yong Luo; Xi Wu 004; Zhipeng Yang; Jiliu Zhou; Luping Zhou (ISBI, 2018)

Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease. - Chen Zu; Yan Wang 015; Luping Zhou; Lei Wang 001; Daoqiang Zhang (ISBI, 2018)

Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis. - Yan Wang 015; Luping Zhou; Lei Wang 001; Biting Yu; Chen Zu; David S. Lalush; Weili Lin; Xi Wu 004; Jiliu Zhou; Dinggang Shen (MICCAI (1), 2018)

3D conditional generative adversarial networks for high-quality PET image estimation at low dose. - Yan Wang 015; Biting Yu; Lei Wang 001; Chen Zu; David S. Lalush; Weili Lin; Xi Wu 004; Jiliu Zhou; Dinggang Shen; Luping Zhou (NeuroImage, 2018)

Automatic Tumor Segmentation with Deep Convolutional Neural Networks for Radiotherapy Applications. - Yan Wang 015; Chen Zu; Guangliang Hu; Yong Luo; Zongqing Ma; Kun He 007; Xi Wu 004; Jiliu Zhou (Neural Process. Lett., 2018)

Reliability-based robust multi-atlas label fusion for brain MRI segmentation. - Liang Sun 009; Chen Zu; Wei Shao 005; Junye Guang; Daoqiang Zhang; Mingxia Liu 001 (Artif. Intell. Medicine, 2019)

Patch-wise label propagation for MR brain segmentation based on multi-atlas images. - Yan Wang 015; Chen Zu; Zongqing Ma; Yong Luo; Kun He 007; Xi Wu 004; Jiliu Zhou (Multim. Syst., 2019)

Weight-based canonical sparse cross-view correlation analysis. - Changming Zhu; Rigui Zhou; Chen Zu (Pattern Anal. Appl., 2019)

3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis. - Yan Wang 015; Luping Zhou; Biting Yu; Lei Wang 001; Chen Zu; David S. Lalush; Weili Lin; Xi Wu 004; Jiliu Zhou; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease. - Wei Shao 005; Yao Peng; Chen Zu; Mingliang Wang; Daoqiang Zhang (Comput. Medical Imaging Graph., 2020)

3D Transformer-GAN for High-Quality PET Reconstruction. - Yanmei Luo; Yan Wang 015; Chen Zu; Bo Zhan; Xi Wu 004; Jiliu Zhou; Dinggang Shen; Luping Zhou (MICCAI (6), 2021)

Coarse-To-Fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy. - Qiankun Ma; Chen Zu; Xi Wu 004; Jiliu Zhou; Yan Wang 015 (MICCAI (1), 2021)

Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy. - Shuai Tan; Pin Tang; Xingchen Peng; Jianghong Xiao; Chen Zu; Xi Wu 004; Jiliu Zhou; Yan Wang 015 (MICCAI (7), 2021)

Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation. - Kaiping Wang; Bo Zhan; Chen Zu; Xi Wu 004; Jiliu Zhou; Luping Zhou; Yan Wang 015 (MICCAI (2), 2021)

DA-DSUnet: Dual Attention-based Dense SU-net for automatic head-and-neck tumor segmentation in MRI images. - Pin Tang; Chen Zu; Mei Hong; Rui Yan; Xingchen Peng; Jianghong Xiao; Xi Wu 004; Jiliu Zhou; Luping Zhou; Yan Wang 015 (Neurocomputing, 2021)

Two-Phase Progressive Deep Transfer Learning for Cervical Cancer Dose Map Prediction. - Jie Zeng; Chongyang Cao; Xingchen Peng; Jianghong Xiao; Chen Zu; Xi Wu 004; Jiliu Zhou; Yan Wang 015 (ISBI, 2022)

Classification-Aided High-Quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization. - Yuchen Fei; Chen Zu; Zhengyang Jiao; Xi Wu 004; Jiliu Zhou; Dinggang Shen; Yan Wang 015 (MICCAI (6), 2022)

3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction. - Pinxian Zeng; Luping Zhou; Chen Zu; Xinyi Zeng; Zhengyang Jiao; Xi Wu 004; Jiliu Zhou; Dinggang Shen; Yan Wang 015 (MICCAI (6), 2022)

Multi-transSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients. - Hanci Zheng; Zongying Lin; Qizheng Zhou; Xingchen Peng; Jianghong Xiao; Chen Zu; Zhengyang Jiao; Yan Wang 015 (MICCAI (8), 2022)

An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation. - Kaiping Wang; Yan Wang 015; Bo Zhan; Yujie Yang; Chen Zu; Xi Wu 004; Jiliu Zhou; Dong Nie; Luping Zhou (Int. J. Neural Syst., 2022)

Semi-supervised NPC segmentation with uncertainty and attention guided consistency. - Lin Hu; Jiaxin Li; Xingchen Peng; Jianghong Xiao; Bo Zhan; Chen Zu; Xi Wu 004; Jiliu Zhou; Yan Wang 015 (Knowl. Based Syst., 2022)

Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction. - Huidong Li; Xingchen Peng; Jie Zeng; Jianghong Xiao; Dong Nie; Chen Zu; Xi Wu 004; Jiliu Zhou; Yan Wang 015 (Knowl. Based Syst., 2022)

Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning. - Kaiping Wang; Bo Zhan; Chen Zu; Xi Wu 004; Jiliu Zhou; Luping Zhou; Yan Wang 015 (Medical Image Anal., 2022)

Multi-constraint generative adversarial network for dose prediction in radiotherapy. - Bo Zhan; Jianghong Xiao; Chongyang Cao; Xingchen Peng; Chen Zu; Jiliu Zhou; Yan Wang 015 (Medical Image Anal., 2022)

ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease. - Yuang Shi; Chen Zu; Mei Hong; Luping Zhou; Lei Wang 001; Xi Wu 004; Jiliu Zhou; Daoqiang Zhang; Yan Wang 015 (Pattern Recognit., 2022)

Facial Expression Recognition with Contrastive Learning and Uncertainty-Guided Relabeling. - Yujie Yang; Lin Hu; Chen Zu; Qizheng Zhou; Xi Wu 004; Jiliu Zhou; Yan Wang 015 (Int. J. Neural Syst., 2023)

Uncertainty-weighted and relation-driven consistency training for semi-supervised head-and-neck tumor segmentation. - Yuang Shi; Chen Zu; Pinli Yang; Shuai Tan; Hongping Ren; Xi Wu 004; Jiliu Zhou; Yan Wang 015 (Knowl. Based Syst., 2023)

Multi-level progressive transfer learning for cervical cancer dose prediction. - Lu Wen; Jianghong Xiao; Jie Zeng; Chen Zu; Xi Wu 004; Jiliu Zhou; Xingchen Peng; Yan Wang 015 (Pattern Recognit., 2023)

Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification. - Qixiang Zhang; Yuxiang Yang 009; Chen Zu; Jianjia Zhang; Xi Wu 004; Jiliu Zhou; Yan Wang 015 (CoRR, 2024)

Source-free domain adaptation via dynamic pseudo labeling and Self-supervision. - Qiankun Ma; Jie Zeng; Jianjia Zhang; Chen Zu; Xi Wu 004; Jiliu Zhou; Jie Chen; Yan Wang 015 (Pattern Recognit., 2024)

CL-TransFER: Collaborative learning based transformer for facial expression recognition with masked reconstruction. - Yujie Yang; Lin Hu; Chen Zu; Jianjia Zhang; Yun Hou; Ying Chen; Jiliu Zhou; Luping Zhou; Yan Wang 015 (Pattern Recognit., 2024)

Exploring Domain-Invariant Feature Space for Unsupervised Cross-Domain Facial Expression Recognition via Diffusion Model. - Yujie Yang; Hanci Zheng; Yuanyuan Xu; Chen Zu; Xi Wu 004; Jiliu Zhou; Yan Wang 015 (IEEE Trans. Instrum. Meas., 2024)

3D multi-modality Transformer-GAN for high-quality PET reconstruction. - Yan Wang 015; Yanmei Luo; Chen Zu; Bo Zhan; Zhengyang Jiao; Xi Wu 004; Jiliu Zhou; Dinggang Shen; Luping Zhou (Medical Image Anal., 2024)

Dual-Domain Classification-Aided High-Quality PET Synthesis With Shared Information Maximization. - Yuchen Fei; Chen Zu; Xi Wu 004; Jiliu Zhou; Yan Wang 015; Dinggang Shen (IEEE Trans Autom. Sci. Eng., 2025)

Multi-Modal Long-Short Distance Attention-Based Transformer-GAN for PET Reconstruction With Auxiliary MRI. - Pinxian Zeng; Xinyi Zeng; Yan Wang 015; Luping Zhou; Chen Zu; Xi Wu 004; Jiliu Zhou; Dinggang Shen (IEEE Trans. Circuits Syst. Video Technol., 2025)