Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification. - Yang Li 010; Jingyu Liu 002; Mei-Lin Luo; Ke Li; Pew-Thian Yap; Minjeong Kim; Chong-Yaw Wee; Dinggang Shen (MLMI@MICCAI, 2017)

Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification. - Yang Li 010; Jingyu Liu 002; Ke Li; Pew-Thian Yap; Minjeong Kim; Chong-Yaw Wee; Dinggang Shen (MLMI@MICCAI, 2017)

Learning Brain Connectivity Sub-networks by Group- Constrained Sparse Inverse Covariance Estimation for Alzheimer's Disease Classification. - Yang Li 010; Jingyu Liu 002; Jie Huang; Zuoyong Li; Peipeng Liang (Frontiers Neuroinformatics, 2018)

Adaptive Functional Connectivity Network Using Parallel Hierarchical BiLSTM for MCI Diagnosis. - Yiqiao Jiang; Huifang Huang; Jingyu Liu 002; Chong-Yaw Wee; Yang Li 010 (MLMI@MICCAI, 2019)

Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification. - Yang Li 010; Jingyu Liu 002; Xinqiang Gao; Biao Jie; Minjeong Kim; Pew-Thian Yap; Chong-Yaw Wee; Dinggang Shen (Medical Image Anal., 2019)

Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification. - Yang Li 010; Hao Yang 032; Baiying Lei; Jingyu Liu 002; Chong-Yaw Wee (IEEE Trans. Medical Imaging, 2019)

Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification. - Yang Li 010; Jingyu Liu 002; Zi-Wen Peng; Can Sheng; Minjeong Kim; Pew-Thian Yap; Chong-Yaw Wee; Dinggang Shen (Neuroinformatics, 2020)

Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification. - Yang Li 010; Jingyu Liu 002; Zhenyu Tang 002; Baiying Lei (IEEE Trans. Medical Imaging, 2020)

Virtual Adversarial Training-Based Deep Feature Aggregation Network From Dynamic Effective Connectivity for MCI Identification. - Yang Li 010; Jingyu Liu 002; Yiqiao Jiang; Yu Liu 021; Baiying Lei (IEEE Trans. Medical Imaging, 2022)

Visual Image Decoding of Brain Activities Using a Dual Attention Hierarchical Latent Generative Network With Multiscale Feature Fusion. - Jie Luo; Weigang Cui; Jingyu Liu 002; Yang Li 010; Yuzhu Guo; Song Xu; Lina Wang 003 (IEEE Trans. Cogn. Dev. Syst., 2023)

Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation. - Yang Li 010; Yue Zhang 045; Jingyu Liu 002; Kang Wang; Kai Zhang; Gen-Sheng Zhang; Xiaofeng Liao 001; Guang Yang 006 (IEEE Trans. Cybern., 2023)

Effective hyper-connectivity network construction and learning: Application to major depressive disorder identification. - Jingyu Liu 002; Wenxin Yang; Yulan Ma; Qunxi Dong; Yang Li 010; Bin Hu 001 (Comput. Biol. Medicine, 2024)

SG-Transunet: A segmentation-guided Transformer U-Net model for KRAS gene mutation status identification in colorectal cancer. - Yulan Ma; Yuzhu Guo; Weigang Cui; Jingyu Liu 002; Yang Li 010; Yingsen Wang; Yan Qiang (Comput. Biol. Medicine, 2024)

Deep Fusion of Multi-Template Using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis. - Jingyu Liu 002; Weigang Cui; Yipeng Chen; Yulan Ma; Qunxi Dong; Ran Cai; Yang Li 010; Bin Hu 001 (IEEE Trans. Medical Imaging, 2024)

A Multi-Graph Cross-Attention-Based Region-Aware Feature Fusion Network Using Multi-Template for Brain Disorder Diagnosis. - Yulan Ma; Weigang Cui; Jingyu Liu 002; Yuzhu Guo; Huiling Chen 001; Yang Li 010 (IEEE Trans. Medical Imaging, 2024)

A Multiview Brain Network Transformer Fusing Individualized Information for Autism Spectrum Disorder Diagnosis. - Qunxi Dong; Hongxin Cai; Zhigang Li; Jingyu Liu 002; Bin Hu 001 (IEEE J. Biomed. Health Informatics, 2024)

Adaptive Weight and Wasserstein Distance Constrained Low-Rank Sparse Representation Method for Functional Connectivity Network Estimation. - Jingyu Liu 002; Zhigang Li; Yuhang Sheng; Jingjing Zhou; Lei Feng; Hongxin Cai; Weijia Liu; Fuze Tian; Qunxi Dong; Rui Liu (IEEE Trans. Comput. Soc. Syst., 2024)

Advancements in Affective Disorder Detection: Using Multimodal Physiological Signals and Neuromorphic Computing Based on SNNs. - Fuze Tian; Lixin Zhang; Lixian Zhu; Mingqi Zhao; Jingyu Liu 002; Qunxi Dong; Qinglin Zhao (IEEE Trans. Comput. Soc. Syst., 2024)

Hierarchical CLIPs for Fine-Grained Anatomical Lesion Localization from Whole-Body PET/CT Images. - Mingyang Yu; Yaozong Gao; Yiran Shu; Yanbo Chen; Jingyu Liu 002; Caiwen Jiang; Kaicong Sun; Weifang Zhang; Yiqiang Zhan; Xiang Sean Zhou; Shaonan Zhong; Xinlu Wang; et al. (IPMI (2), 2025)

Similarity-guided multi-view functional brain network fusion. - Zhigang Li; Jingyu Liu 002; Mengkai Sun; Fa Zhang 001; Bin Hu 001; Qunxi Dong (Medical Image Anal., 2025)

A Temporal-Spatial Embedding and Dynamic Aggregation Network With Adaptive Weighting Spectrum for EEG Motion Intention Recognition. - Weidong Yan; Jingyu Liu 002; Jie Luo; Wenkang Liu; Yulan Ma; Qinge Zhang (IEEE Trans. Instrum. Meas., 2025)

Semantic Disentangling for Audiovisual Induced Emotion. - Qunxi Dong; Wang Zheng; Fuze Tian; Lixian Zhu; Kun Qian 003; Jingyu Liu 002; Xuan Zhang (IEEE Trans. Comput. Soc. Syst., 2025)

Schizophrenia Detection Based on Morphometry of Hippocampus and Amygdala. - Qunxi Dong; Yuhang Sheng; Junru Zhu; Zhigang Li; Weijia Liu; Jingyu Liu 002; Yalin Wang 001; Bin Hu 001 (IEEE J. Biomed. Health Informatics, 2025)

An AI-Assisted All-in-One Integrated Coronary Artery Disease Diagnosis System Using a Portable Heart Sound Sensor With an On-Board Executable Lightweight Model. - Haojie Zhang; Fuze Tian; Yang Tan 003; Lin Shen; Jingyu Liu 002; Jie Liu; Kun Qian 003; Yalei Han; Gong Su; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto (IEEE Trans. Mob. Comput., 2025)