Quantum-based subgraph convolutional neural networks. - Zhihong Zhang 001; Dongdong Chen 003; Jianjia Wang; Lu Bai 001; Edwin R. Hancock (Pattern Recognit., 2019)

Depth-based subgraph convolutional auto-encoder for network representation learning. - Zhihong Zhang 001; Dongdong Chen 003; Zeli Wang; Heng Li 001; Lu Bai 001; Edwin R. Hancock (Pattern Recognit., 2019)

FES-RF: A Feature Ensemble Selection Based Random Forest Method For Accurate Cancer Screening. - Jiatong Liu; Changbin Pan; Dongdong Chen 003; Weiping Lin; Shangyuan Feng; Sufang Qiu; Beizhan Wang; KunHong Liu 001 (BIBM, 2021)

Automatic Terrain Generation System Based on Path Search Optimization. - Jiatong Liu; Dongdong Chen 003; Chengyou Zhang; Duyang Li; Xiaoyan Zhang (CONF-CDS, 2021)

Thermodynamic motif analysis for directed stock market networks. - Dongdong Chen 003; Xingchen Guo; Jianjia Wang; Jiatong Liu; Zhihong Zhang 001; Edwin R. Hancock (Pattern Recognit., 2021)

Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis. - Dongdong Chen 003; Mengjun Liu; Zhenrong Shen 001; Xiangyu Zhao 003; Qian Wang 001; Lichi Zhang (MICCAI (8), 2023)

FE-STGNN: Spatio-Temporal Graph Neural Network with Functional and Effective Connectivity Fusion for MCI Diagnosis. - Dongdong Chen 003; Lichi Zhang (MICCAI (8), 2023)

One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification. - Xiangyu Zhao 003; Zhenrong Shen 001; Dongdong Chen 003; Sheng Wang 014; Zixu Zhuang; Qian Wang 001; Lichi Zhang (MICCAI (4), 2023)

PA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching. - Dongdong Chen 003; Yuxing Dai; Lichi Zhang; Zhihong Zhang 001 (CoRR, 2023)

Domain Generalization for Mammographic Image Analysis via Contrastive Learning. - Zheren Li; Zhiming Cui; Lichi Zhang; Sheng Wang 014; Chenjin Lei; Xi Ouyang; Dongdong Chen 003; Zixu Zhuang; Xiangyu Zhao 003; Yajia Gu; Zaiyi Liu; Chunling Liu; et al. (CoRR, 2023)

Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images. - Zhiyun Song; Zengxin Qi; Xin Wang 125; Xiangyu Zhao 003; Zhenrong Shen 001; Sheng Wang 014; Manman Fei; Zhe Wang; Di Zang; Dongdong Chen 003; Linlin Yao; Qian Wang 001; et al. (CoRR, 2023)

Position-aware and structure embedding networks for deep graph matching. - Dongdong Chen 003; Yuxing Dai; Lichi Zhang; Zhihong Zhang 001; Edwin R. Hancock (Pattern Recognit., 2023)

Graph Motif Entropy for Understanding Time-Evolving Networks. - Zhihong Zhang 001; Dongdong Chen 003; Lu Bai 001; Jianjia Wang; Edwin R. Hancock (IEEE Trans. Neural Networks Learn. Syst., 2023)

Self-supervised Learning with Adaptive Graph Structure and Function Representation for Cross-Dataset Brain Disorder Diagnosis. - Dongdong Chen 003; Linlin Yao; Mengjun Liu; Zhenrong Shen 001; Yuqi Hu; Zhiyun Song; Qian Wang 001; Lichi Zhang (MICCAI (11), 2024)

Affinity Learning Based Brain Function Representation for Disease Diagnosis. - Mengjun Liu; Zhiyun Song; Dongdong Chen 003; Xin Wang 125; Zixu Zhuang; Manman Fei; Lichi Zhang; Qian Wang 001 (MICCAI (2), 2024)

Hierarchical Encoding and Fusion of Brain Functions for Depression Subtype Classification. - Mengjun Liu; Huifeng Zhang; Mianxin Liu; Dongdong Chen 003; Rubai Zhou; Wenxian Lu; Lichi Zhang; Dinggang Shen; Qian Wang 001; Daihui Peng (IEEE Trans. Affect. Comput., 2024)

Randomizing Human Brain Function Representation for Brain Disease Diagnosis. - Mengjun Liu; Huifeng Zhang; Mianxin Liu; Dongdong Chen 003; Zixu Zhuang; Xin Wang 125; Lichi Zhang; Daihui Peng; Qian Wang 001 (IEEE Trans. Medical Imaging, 2024)

Domain generalization for mammographic image analysis with contrastive learning. - Zheren Li; Zhiming Cui; Lichi Zhang; Sheng Wang 014; Chenjin Lei; Xi Ouyang; Dongdong Chen 003; Xiangyu Zhao 003; Chunling Liu; Zaiyi Liu; Yajia Gu; Dinggang Shen; et al. (Comput. Biol. Medicine, 2025)

Uni-COAL: A unified framework for cross-modality synthesis and super-resolution of MR images. - Zhiyun Song; Zengxin Qi; Xin Wang 125; Xiangyu Zhao 003; Zhenrong Shen 001; Sheng Wang 014; Manman Fei; Zhe Wang; Di Zang; Dongdong Chen 003; Linlin Yao; Mengjun Liu; et al. (Expert Syst. Appl., 2025)

Whole slide cervical cancer classification via graph attention networks and contrastive learning. - Manman Fei; Xin Zhang 013; Dongdong Chen 003; Zhiyun Song; Qian Wang 001; Lichi Zhang (Neurocomputing, 2025)

Guiding fusion of dynamic functional and effective connectivity in spatio-temporal graph neural network for brain disorder classification. - Dongdong Chen 003; Mengjun Liu; Sheng Wang 014; Zheren Li; Lu Bai 001; Qian Wang 001; Dinggang Shen; Lichi Zhang (Knowl. Based Syst., 2025)

AASeg: Artery-Aware Global-to-Local Framework for Aneurysm Segmentation in Head and Neck CTA Images. - Linlin Yao; Dongdong Chen 003; Xiangyu Zhao 003; Manman Fei; Zhiyun Song; Zhong Xue; Yiqiang Zhan; Bin Song 002; Feng Shi 001; Qian Wang 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2025)

Exploring Multiconnectivity and Subdivision Functions of Brain Network via Heterogeneous Graph Network for Cognitive Disorder Identification. - Dongdong Chen 003; Mengjun Liu; Zhenrong Shen 001; Linlin Yao; Xiangyu Zhao 003; Zhiyun Song; Haolei Yuan; Qian Wang 001; Lichi Zhang (IEEE Trans. Neural Networks Learn. Syst., 2025)