Human-centered attention models for video summarization. - Kaiming Li; Lei Guo 002; Carlos Faraco; Dajiang Zhu; Fan Deng 001; Tuo Zhang; Xi Jiang 001; Degang Zhang; Hanbo Chen; Xintao Hu; L. Stephen Miller; Tianming Liu 001 (ICMI-MLMI, 2010)

Automatic cortical surface parcellation based on fiber density information. - Degang Zhang; Lei Guo 002; Gang Li 001; Jingxin Nie; Fan Deng 001; Kaiming Li; Xintao Hu; Tuo Zhang; Xi Jiang 001; Dajiang Zhu; Qun Zhao; Tianming Liu 001 (ISBI, 2010)

Bridging low-level features and high-level semantics via fMRI brain imaging for video classification. - Xintao Hu; Fan Deng 001; Kaiming Li; Tuo Zhang; Hanbo Chen; Xi Jiang 001; Jinglei Lv; Dajiang Zhu; Carlos Faraco; Degang Zhang; Arsham Mesbah; Junwei Han 001; et al. (ACM Multimedia, 2010)

Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles. - Kaiming Li; Lei Guo 002; Carlos Faraco; Dajiang Zhu; Fan Deng 001; Tuo Zhang; Xi Jiang 001; Degang Zhang; Hanbo Chen; Xintao Hu; L. Stephen Miller; Tianming Liu 001 (NIPS, 2010)

Activated Fibers: Fiber-Centered Activation Detection in Task-Based FMRI. - Jinglei Lv; Lei Guo 002; Kaiming Li; Xintao Hu; Dajiang Zhu; Junwei Han 001; Tianming Liu 001 (IPMI, 2011)

Discovering Dense and Consistent Landmarks in the Brain. - Dajiang Zhu; Degang Zhang; Carlos Faraco; Kaiming Li; Fan Deng 001; Hanbo Chen; Xi Jiang 001; Lei Guo 002; L. Stephen Miller; Tianming Liu 001 (IPMI, 2011)

Fine granularity parcellation of gyrus via fiber shape and connectivity based features. - Dajiang Zhu; Kaiming Li; Fan Deng 001; Degang Zhang; Xi Jiang 001; Hanbo Chen; Lei Guo 002; L. Stephen Miller; Tianming Liu 001 (ISBI, 2011)

Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles. - Dajiang Zhu; Kaiming Li; Carlos Faraco; Fan Deng 001; Degang Zhang; Xi Jiang 001; Hanbo Chen; Lei Guo 002; L. Stephen Miller; Tianming Liu 001 (ISBI, 2011)

Predicting Functional Brain ROIs via Fiber Shape Models. - Tuo Zhang; Lei Guo 002; Kaiming Li; Dajiang Zhu; Guangbin Cui; Tianming Liu 001 (MICCAI (2), 2011)

Identification of Cortical Landmarks Based on Consistent Connectivity to Subcortical Structures. - Degang Zhang; Lei Guo 002; Dajiang Zhu; Tuo Zhang; Xintao Hu; Kaiming Li; Xi Jiang 001; Hanbo Chen; Jinglei Lv; Fan Deng 001; Qun Zhao (MBIA, 2011)

Identification of cortical landmarks based on structural connectivity to subcortical regions. - Degang Zhang; Lei Guo 002; Xintao Hu; Kaiming Li; Dajiang Zhu; Xi Jiang 001; Hanbo Chen; Fan Deng 001; Qun Zhao; Tianming Liu 001 (Int. J. Comput. Biol. Drug Des., 2011)

Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes. - Hanbo Chen; Xiao Cai; Dajiang Zhu; Feiping Nie 001; Tianming Liu 001; Heng Huang (MICCAI (2), 2012)

Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-view Spectral Clustering. - Hanbo Chen; Kaiming Li; Dajiang Zhu; Tuo Zhang; Changfeng Jin; Lei Guo 002; Lingjiang Li; Tianming Liu 001 (MICCAI (3), 2012)

Optimization of fMRI-Derived ROIs Based on Coherent Functional Interaction Patterns. - Fan Deng 001; Dajiang Zhu; Tianming Liu 001 (MICCAI (3), 2012)

Group-Wise Consistent Fiber Clustering Based on Multimodal Connectional and Functional Profiles. - Bao Ge; Lei Guo 002; Tuo Zhang; Dajiang Zhu; Kaiming Li; Xintao Hu; Junwei Han 001; Tianming Liu 001 (MICCAI (3), 2012)

Characterization of Task-Free/Task-Performance Brain States. - Xin Zhang 013; Lei Guo 002; Xiang Li 001; Dajiang Zhu; Kaiming Li; Zhenqiang Sun; Changfeng Jin; Xintao Hu; Junwei Han 001; Qun Zhao; Lingjiang Li; Tianming Liu 001 (MICCAI (2), 2012)

Visual analytics of brain networks. - Kaiming Li; Lei Guo 002; Carlos Faraco; Dajiang Zhu; Hanbo Chen; Yixuan Yuan; Jinglei Lv; Fan Deng 001; Xi Jiang 001; Tuo Zhang; Xintao Hu; Degang Zhang; et al. (NeuroImage, 2012)

Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles. - Dajiang Zhu; Kaiming Li; Carlos Cesar Faraco; Fan Deng 001; Degang Zhang; Lei Guo 002; L. Stephen Miller; Tianming Liu 001 (NeuroImage, 2012)

Individual Functional ROI Optimization Via Maximization of Group-Wise Consistency of Structural and Functional Profiles. - Kaiming Li; Lei Guo 002; Dajiang Zhu; Xintao Hu; Junwei Han 001; Tianming Liu 001 (Neuroinformatics, 2012)

Construction of Multi-scale Common Brain Networks Based on DICCCOL. - Bao Ge; Lei Guo 002; Dajiang Zhu; Tuo Zhang; Xintao Hu; Junwei Han 001; Tianming Liu 001 (IPMI, 2013)

Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models. - Dajiang Zhu; Xiang Li 001; Xi Jiang 001; Hanbo Chen; Dinggang Shen; Tianming Liu 001 (IPMI, 2013)

Assessing regularity and variability of cortical folding patterns of dicccols. - Jia Chen; Jianfeng Lu 003; Hanbo Chen; Dajiang Zhu; Tianming Liu 001 (ISBI, 2013)

Identifying consistent brain networks via maximizing predictability of functional connectome from structural connectome. - Hanbo Chen; Kaiming Li; Dajiang Zhu; Tianming Liu 001 (ISBI, 2013)

Construction of multi-scale brain networks via DICCCOL landmarks. - Bao Ge; Lei Guo 002; Tuo Zhang; Dajiang Zhu; Xintao Hu; Junwei Han 001; Tianming Liu 001 (ISBI, 2013)

Discovering common functional connectomics signatures. - Xiang Li 001; Dajiang Zhu; Xi Jiang 001; Changfeng Jin; Lei Guo 002; Lingjiang Li; Tianming Liu 001 (ISBI, 2013)

Identifying functional connectomics abnormality in attention deficit hyperactivity disorder. - Peng Wang; Dajiang Zhu; Xiang Li 001; Hanbo Chen; Xi Jiang 001; Li Sun; Qingjiu Cao; Li An; Tianming Liu 001; Yufeng Wang (ISBI, 2013)

Predicting functional cortical ROIs via joint modeling of anatomical and connectional profiles. - Tuo Zhang; Dajiang Zhu; Xi Jiang 001; Lei Guo 002; Tianming Liu 001 (ISBI, 2013)

Inferring functional network-based signatures via structurally-weighted LASSO model. - Dajiang Zhu; Dinggang Shen; Tianming Liu 001 (ISBI, 2013)

Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI. - Xi Jiang 001; Dajiang Zhu; Kaiming Li; Tuo Zhang; Dinggang Shen; Lei Guo 002; Tianming Liu 001 (MICCAI (2), 2013)

Anatomy-Guided Discovery of Large-Scale Consistent Connectivity-Based Cortical Landmarks. - Xi Jiang 001; Tuo Zhang; Dajiang Zhu; Kaiming Li; Jinglei Lv; Lei Guo 002; Tianming Liu 001 (MICCAI (3), 2013)

Sparse Representation of Group-Wise FMRI Signals. - Jinglei Lv; Xiang Li 001; Dajiang Zhu; Xi Jiang 001; Xin Zhang 013; Xintao Hu; Tuo Zhang; Lei Guo 002; Tianming Liu 001 (MICCAI (3), 2013)

Group-Wise FMRI Activation Detection on Corresponding Cortical Landmarks. - Jinglei Lv; Dajiang Zhu; Xintao Hu; Xin Zhang 013; Tuo Zhang; Junwei Han 001; Lei Guo 002; Tianming Liu 001 (MICCAI (2), 2013)

Modeling Cognitive Processes via Multi-stage Consistent Functional Response Detection. - Jinglei Lv; Dajiang Zhu; Xi Jiang 001; Kaiming Li; Xintao Hu; Junwei Han 001; Lei Guo 002; Tianming Liu 001 (MBIA, 2013)

Sparse Representation of Higher-Order Functional Interaction Patterns in Task-Based FMRI Data. - Shu Zhang 001; Xiang Li 001; Jinglei Lv; Xi Jiang 001; Dajiang Zhu; Hanbo Chen; Tuo Zhang; Lei Guo 002; Tianming Liu 001 (MICCAI (3), 2013)

Characterization of task-free and task-performance brain states via functional connectome patterns. - Xin Zhang 013; Lei Guo 002; Xiang Li 001; Tuo Zhang; Dajiang Zhu; Kaiming Li; Hanbo Chen; Jinglei Lv; Changfeng Jin; Qun Zhao; Lingjiang Li; Tianming Liu 001 (Medical Image Anal., 2013)

Predicting cortical ROIs via joint modeling of anatomical and connectional profiles. - Tuo Zhang; Dajiang Zhu; Xi Jiang 001; Bao Ge; Xintao Hu; Junwei Han 001; Lei Guo 002; Tianming Liu 001 (Medical Image Anal., 2013)

Fine-Granularity Functional Interaction Signatures for Characterization of Brain Conditions. - Xintao Hu; Dajiang Zhu; Peili Lv; Kaiming Li; Junwei Han 001; Lihong Wang; Dinggang Shen; Lei Guo 002; Tianming Liu 001 (Neuroinformatics, 2013)

Meta-Analysis of Functional Roles of DICCCOLs. - Yixuan Yuan; Xi Jiang 001; Dajiang Zhu; Hanbo Chen; Kaiming Li; Peili Lv; Xiang Yu 003; Xiaojin Li; Shu Zhang 001; Tuo Zhang; Xintao Hu; Junwei Han 001; et al. (Neuroinformatics, 2013)

FMRI Signal Analysis Using Empirical Mean Curve Decomposition. - Fan Deng 001; Dajiang Zhu; Jinglei Lv; Lei Guo 002; Tianming Liu 001 (IEEE Trans. Biomed. Eng., 2013)

Representing and Retrieving Video Shots in Human-Centric Brain Imaging Space. - Junwei Han 001; Xiang Ji; Xintao Hu; Dajiang Zhu; Kaiming Li; Xi Jiang 001; Guangbin Cui; Lei Guo 002; Tianming Liu 001 (IEEE Trans. Image Process., 2013)

Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-View Spectral Clustering. - Hanbo Chen; Kaiming Li; Dajiang Zhu; Xi Jiang 001; Yixuan Yuan; Peili Lv; Tuo Zhang; Lei Guo 002; Dinggang Shen; Tianming Liu 001 (IEEE Trans. Medical Imaging, 2013)

Group-wise optimization and individualized prediction of structural connectomes. - Hanbo Chen; Kaiming Li; Dajiang Zhu; Lei Guo 002; Xi Jiang 001; Tianming Liu 001 (ISBI, 2014)

Integrating group-wise functional brain activities via point processes. - Xi Jiang 001; Jinglei Lv; Dajiang Zhu; Tuo Zhang; Xintao Hu; Lei Guo 002; Tianming Liu 001 (ISBI, 2014)

Discovering network-level functional interactions from working memory fMRI data. - Xi Jiang 001; Jinglei Lv; Dajiang Zhu; Tuo Zhang; Xiang Li 001; Xintao Hu; Lei Guo 002; Tianming Liu 001 (ISBI, 2014)

Generalized fMRI activation detection via Bayesian magnitude change point model. - Zhichao Lian; Jinglei Lv; Jianchuan Xing; Xiang Li 001; Xi Jiang 001; Dajiang Zhu; Jiansong Xu; Marc N. Potenza; Tianming Liu 001; Jing Zhang 010 (ISBI, 2014)

Exploring functional brain dynamics via a Bayesian connectivity change point model. - Zhichao Lian; Xiang Li 001; Jianchuan Xing; Jinglei Lv; Xi Jiang 001; Dajiang Zhu; Shu Zhang 001; Jiansong Xu; Marc N. Potenza; Tianming Liu 001; Jing Zhang 010 (ISBI, 2014)

Dynamic network partition via Bayesian connectivity bi-partition change point model. - Zhichao Lian; Xiang Li 001; Thomas Young; Yun Hao; Jianchuan Xing; Jinglei Lv; Xi Jiang 001; Dajiang Zhu; Tianming Liu 001; Jing Zhang 010 (ISBI, 2014)

Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model. - Zhichao Lian; Xiang Li 001; Hongmiao Zhang; Hui Kuang; Kun Xie 006; Jianchuan Xing; Dajiang Zhu; Joe Z. Tsien; Tianming Liu 001; Jing Zhang 010 (ISBI, 2014)

Group-wise connection activation detection based on DICCCOL. - Jinglei Lv; Tuo Zhang; Xintao Hu; Dajiang Zhu; Kaiming Li; Lei Guo 002; Tianming Liu 001 (ISBI, 2014)

Group-wise consistent cortical parcellation based on DTI-derived connectional profiles. - Tuo Zhang; Dajiang Zhu; Xi Jiang 001; Lei Guo 002; Tianming Liu 001 (ISBI, 2014)

Sparse representation of working memory processes based on fMRI data. - Dajiang Zhu; Xiang Li 001; Tianming Liu 001 (ISBI, 2014)

Connectomics signature for characterizaton of mild cognitive impairment and schizophrenia. - Dajiang Zhu; Dinggang Shen; Xi Jiang 001; Tianming Liu 001 (ISBI, 2014)

Group-Wise Optimization of Common Brain Landmarks with Joint Structural and Functional Regulations. - Dajiang Zhu; Jinglei Lv; Hanbo Chen; Tianming Liu 001 (MICCAI (2), 2014)

Decoding Auditory Saliency from FMRI Brain Imaging. - Shijie Zhao 001; Xi Jiang 001; Junwei Han 001; Xintao Hu; Dajiang Zhu; Jinglei Lv; Tuo Zhang; Lei Guo 002; Tianming Liu 001 (ACM Multimedia, 2014)

Intrinsic Functional Component Analysis via Sparse Representation on Alzheimer's Disease Neuroimaging Initiative Database. - Xi Jiang 001; Xin Zhang 013; Dajiang Zhu (Brain Connect., 2014)

Fusing DTI and fMRI data: A survey of methods and applications. - Dajiang Zhu; Tuo Zhang; Xi Jiang 001; Xintao Hu; Hanbo Chen; Ning Yang 003; Jinglei Lv; Junwei Han 001; Lei Guo 002; Tianming Liu 001 (NeuroImage, 2014)

Group-Wise FMRI Activation Detection on DICCCOL Landmarks. - Jinglei Lv; Lei Guo 002; Dajiang Zhu; Tuo Zhang; Xintao Hu; Junwei Han 001; Tianming Liu 001 (Neuroinformatics, 2014)

Heritability of brain network topology in 853 twins and siblings. - Liang Zhan; Neda Jahanshad; Joshua Faskowitz; Dajiang Zhu; Gautam Prasad; Nicholas G. Martin; Greig I. de Zubicaray; Katie L. McMahon; Margaret J. Wright; Paul M. Thompson (ISBI, 2015)

Genetic analysis of structural brain connectivity using DICCCOL models of diffusion MRI in 522 twins. - Dajiang Zhu; Liang Zhan; Joshua Faskowitz; Madelaine Daianu; Neda Jahanshad; Greig I. de Zubicaray; Katie L. McMahon; Nicholas G. Martin; Margaret J. Wright; Paul M. Thompson (ISBI, 2015)

Towards Robust and Specific Causal Discovery from fMRI. - Kun Zhang 001; Biwei Huang; Bernhard Schölkopf; Michel Besserve; Masataka Watanabe; Dajiang Zhu (CoRR, 2015)

Sparse representation of whole-brain fMRI signals for identification of functional networks. - Jinglei Lv; Xi Jiang 001; Xiang Li 001; Dajiang Zhu; Hanbo Chen; Tuo Zhang; Shu Zhang 001; Xintao Hu; Junwei Han 001; Heng Huang; Jing Zhang 010; Lei Guo 002; et al. (Medical Image Anal., 2015)

Anatomy-Guided Dense Individualized and Common Connectivity-Based Cortical Landmarks (A-DICCCOL). - Xi Jiang 001; Tuo Zhang; Dajiang Zhu; Kaiming Li; Hanbo Chen; Jinglei Lv; Xintao Hu; Junwei Han 001; Dinggang Shen; Lei Guo 002; Tianming Liu 001 (IEEE Trans. Biomed. Eng., 2015)

Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function. - Jinglei Lv; Xi Jiang 001; Xiang Li 001; Dajiang Zhu; Shu Zhang 001; Shijie Zhao 001; Hanbo Chen; Tuo Zhang; Xintao Hu; Junwei Han 001; Jieping Ye; Lei Guo 002; et al. (IEEE Trans. Biomed. Eng., 2015)

Population learning of structural connectivity by white matter encoding and decoding. - Dajiang Zhu; Neda Jahanshad; Brandalyn C. Riedel; Liang Zhan; Joshua Faskowitz; Gautam Prasad; Paul M. Thompson (ISBI, 2016)

Embedded sparse representation of fMRI data via group-wise dictionary optimization. - Dajiang Zhu; Binbin Lin; Joshua Faskowitz; Jieping Ye; Paul M. Thompson (Image Processing, 2016)

Group-wise consistent cortical parcellation based on connectional profiles. - Tuo Zhang; Dajiang Zhu; Xi Jiang 001; Shu Zhang 001; Zhifeng Kou; Lei Guo 002; Tianming Liu 001 (Medical Image Anal., 2016)

Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model. - Dajiang Zhu; Brandalyn C. Riedel; Neda Jahanshad; Nynke A. Groenewold; Dan J. Stein; Ian H. Gotlib; Matthew D. Sacchet; Danai Dima; James H. Cole; Cynthia H. Y. Fu; Henrik Walter; Ilya M. Veer; et al. (MICCAI (3), 2017)

Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression. - Qingyang Li 001; Dajiang Zhu; Jie Zhang 026; Derrek Paul Hibar; Neda Jahanshad; Yalin Wang 001; Jieping Ye; Paul M. Thompson; Jie Wang 005 (CoRR, 2017)

Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model. - Dajiang Zhu; Brandalyn C. Riedel; Neda Jahanshad; Nynke A. Groenewold; Dan J. Stein; Ian H. Gotlib; Danai Dima; James H. Cole; Cynthia H. Y. Fu; Henrik Walter; Ilya M. Veer; Thomas Frodl; et al. (CoRR, 2017)

Efficient Test-Time Predictor Learning With Group-Based Budget. - Li Wang; Dajiang Zhu; Yujie Chi (AAAI, 2018)

Exploring latent structures of Alzheimer's disease via structure learning. - Dajiang Zhu; Li Wang 033 (ISBI, 2018)

Exploring Fiber Skeletons via Joint Representation of Functional Networks and Structural Connectivity. - Shu Zhang 001; Tianming Liu 001; Dajiang Zhu (MICCAI (3), 2018)

Analyzing Mild Cognitive Impairment Progression via Multi-view Structural Learning. - Li Wang 033; Paul M. Thompson; Dajiang Zhu (IPMI, 2019)

Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure Connectome. - Lei Guo 028; Haoteng Tang; Qi Wang; Emily L. Dennis; Dajiang Zhu; Heng Huang; Olusola Ajilore; Alex D. Leow; Liang Zhan (ISBI, 2019)

Accessing Latent Connectome of Mild Cognitive Impairment via Discriminant Structure Learning. - Li Wang 033; Lu Zhang 050; Dajiang Zhu (ISBI, 2019)

Multi-modal Image Prediction via Spatial Hybrid U-Net. - Akib Zaman 001; Lu Zhang 050; Jingwen Yan; Dajiang Zhu (MMMI@MICCAI, 2019)

A Cascaded Multi-modality Analysis in Mild Cognitive Impairment. - Lu Zhang 050; Akib Zaman 001; Li Wang 033; Jingwen Yan; Dajiang Zhu (MLMI@MICCAI, 2019)

Discovering hierarchical common brain networks via multimodal deep belief network. - Shu Zhang 001; Qinglin Dong; Wei Zhang 090; Heng Huang; Dajiang Zhu; Tianming Liu 001 (Medical Image Anal., 2019)

Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data. - Wei Zhang 090; Jinglei Lv; Xiang Li 001; Dajiang Zhu; Xi Jiang 001; Shu Zhang 001; Yu Zhao 007; Lei Guo 002; Jieping Ye; Dewen Hu; Tianming Liu 001 (IEEE Trans. Biomed. Eng., 2019)

Learning Latent Structure Over Deep Fusion Model of Mild Cognitive Impairment. - Li Wang 033; Lu Zhang 050; Dajiang Zhu (ISBI, 2020)

Jointly Analyzing Alzheimer's Disease Related Structure-Function Using Deep Cross-Model Attention Network. - Lu Zhang 050; Li Wang 033; Dajiang Zhu (ISBI, 2020)

Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN Based Generative Adversarial Network. - Lu Zhang 050; Li Wang 033; Dajiang Zhu (MICCAI (7), 2020)

Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder. - Lin Zhao 004; Haixing Dai; Xi Jiang 001; Tuo Zhang; Dajiang Zhu; Tianming Liu 001 (MICCAI (7), 2021)

Classification of Mild Cognitive Impairment by Fusing Neuroimaging and Gene Expression Data: Classification of Mild Cognitive Impairment by Fusing Neuroimaging and Gene Expression Data. - Yanjun Lyu; Xiaowei Yu; Lu Zhang 050; Dajiang Zhu (PETRA, 2021)

Representing Alzheimer's Disease Progression via Deep Prototype Tree. - Lu Zhang 050; Li Wang 033; Dajiang Zhu (CoRR, 2021)

Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment. - Lu Zhang 050; Li Wang 033; Jean Gao; Shannon L. Risacher; Jingwen Yan; Gang Li 001; Tianming Liu 001; Dajiang Zhu (Medical Image Anal., 2021)

Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition. - Haixing Dai; Qing Li 027; Lin Zhao 004; Liming Pan; Cheng Shi; Zhengliang Liu; Zihao Wu 001; Lu Zhang 050; Shijie Zhao 001; Xia Wu 001; Tianming Liu 001; Dajiang Zhu (MLMI@MICCAI, 2022)

Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network. - Tianji Pang; Dajiang Zhu; Tianming Liu 001; Junwei Han 001; Shijie Zhao 001 (MICCAI (1), 2022)

ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition. - Saed Rezayi; Haixing Dai; Zhengliang Liu; Zihao Wu 001; Akarsh Hebbar; Andrew H. Burns; Lin Zhao 004; Dajiang Zhu; Quanzheng Li; Wei Liu 146; Sheng Li 001; Tianming Liu 001; et al. (MLMI@MICCAI, 2022)

Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network. - Xiaowei Yu; Dan Hu; Lu Zhang 050; Ying Huang 007; Zhengwang Wu; Tianming Liu 001; Li Wang 026; Weili Lin; Dajiang Zhu; Gang Li 001 (MICCAI (8), 2022)

Embedding Human Brain Function via Transformer. - Lin Zhao 004; Zihao Wu 001; Haixing Dai; Zhengliang Liu; Tuo Zhang; Dajiang Zhu; Tianming Liu 001 (MICCAI (1), 2022)

Classification of Alzheimer's Disease via Vision Transformer: Classification of Alzheimer's Disease via Vision Transformer. - Yanjun Lyu; Xiaowei Yu; Dajiang Zhu; Lu Zhang 050 (PETRA, 2022)

Disentangling Spatial-Temporal Functional Brain Networks via Twin-Transformers. - Xiaowei Yu; Lu Zhang 050; Lin Zhao 004; Yanjun Lyu; Tianming Liu 001; Dajiang Zhu (CoRR, 2022)

Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention. - Yiheng Liu; Enjie Ge; Mengshen He; Zhengliang Liu; Shijie Zhao 001; Xintao Hu; Dajiang Zhu; Tianming Liu 001; Bao Ge (CoRR, 2022)

Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning. - Yuzhong Chen; Zhenxiang Xiao; Lin Zhao 004; Lu Zhang 050; Haixing Dai; David Weizhong Liu; Zihao Wu 001; Changhe Li; Tuo Zhang; Changying Li; Dajiang Zhu; Tianming Liu 001; et al. (CoRR, 2022)

Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution. - Li Yang; Zhibin He; Changhe Li; Junwei Han 001; Dajiang Zhu; Tianming Liu 001; Tuo Zhang (CoRR, 2022)

Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning. - Chong Ma; Lin Zhao 004; Yuzhong Chen; Lu Zhang 050; Zhenxiang Xiao; Haixing Dai; David Weizhong Liu; Zihao Wu 001; Zhengliang Liu; Sheng Wang 014; Jiaxing Gao; Changhe Li; et al. (CoRR, 2022)

Rectify ViT Shortcut Learning by Visual Saliency. - Chong Ma; Lin Zhao 004; Yuzhong Chen; David Weizhong Liu; Xi Jiang 001; Tuo Zhang; Xintao Hu; Dinggang Shen; Dajiang Zhu; Tianming Liu 001 (CoRR, 2022)

A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers. - Yuzhong Chen; Yu Du; Zhenxiang Xiao; Lin Zhao 004; Lu Zhang 050; David Weizhong Liu; Dajiang Zhu; Tuo Zhang; Xintao Hu; Tianming Liu 001; Xi Jiang 001 (CoRR, 2022)

BI AVAN: Brain inspired Adversarial Visual Attention Network. - Heng Huang; Lin Zhao 004; Xintao Hu; Haixing Dai; Lu Zhang 050; Dajiang Zhu; Tianming Liu 001 (CoRR, 2022)

Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs). - Jiadong Yan; Yuzhong Chen; Zhenxiang Xiao; Shu Zhang 001; Mingxin Jiang; Tianqi Wang; Tuo Zhang; Jinglei Lv; Benjamin Becker; Rong Zhang; Dajiang Zhu; Junwei Han 001; et al. (Medical Image Anal., 2022)

Predicting brain structural network using functional connectivity. - Lu Zhang 050; Li Wang 033; Dajiang Zhu; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2022)

Fine-grained Artificial Neurons in Audio-transformers for Disentangling Neural Auditory Encoding. - Mengyue Zhou; Xu Liu; David Liu; Zihao Wu 001; Zhengliang Liu; Lin Zhao 004; Dajiang Zhu; Lei Guo 002; Junwei Han 001; Tianming Liu 001; Xintao Hu (ACL (Findings), 2023)

Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search. - Qing Li 027; Haixing Dai; Jinglei Lv; Lin Zhao 004; Zhengliang Liu; Zihao Wu 001; Xia Wu 001; Claire Coles; Xiaoping Hu 001; Tianming Liu 001; Dajiang Zhu (ADMA (3), 2023)

Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript. - Hongmin Cai; Xiaoke Huang; Zhengliang Liu; Wenxiong Liao; Haixing Dai; Zihao Wu 001; Dajiang Zhu; Hui Ren 001; Quanzheng Li; Tianming Liu 001; Xiang Li 001 (BI, 2023)

Supervised Deep Tree in Alzheimer's Disease. - Xiaowei Yu; Lu Zhang 050; Yanjun Lyu; Tianming Liu 001; Dajiang Zhu (ISBI, 2023)

Representative Functional Connectivity Learning for Multiple Clinical Groups in Alzheimer's Disease. - Lu Zhang 050; Xiaowei Yu; Yanjun Lyu; Tianming Liu 001; Dajiang Zhu (ISBI, 2023)

Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. - Haixing Dai; Mengxuan Hu; Qing Li 027; Lu Zhang 050; Lin Zhao 004; Dajiang Zhu; Ibai Díez; Jorge Sepulcre; Fan Zhang; Xingyu Gao; Manhua Liu; Quanzheng Li; et al. (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-contexts Discriminator GAN. - Xiang Gao; Xin Zhang 013; Lu Zhang 050; Xiangmin Xu; Dajiang Zhu (MICCAI (8), 2023)

Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning. - Zhengwang Wu; Jiale Cheng; Fenqiang Zhao; Ya Wang; Yue Sun; Dajiang Zhu; Tianming Liu 001; Valerie Jewells; Weili Lin; Li Wang 026; Gang Li 001 (MICCAI (8), 2023)

Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study. - Lu Zhang 050; Saiyang Na; Tianming Liu 001; Dajiang Zhu; Junzhou Huang (MICCAI (5), 2023)

Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization. - Fenqiang Zhao; Zhengwang Wu; Dajiang Zhu; Tianming Liu 001; John H. Gilmore; Weili Lin; Li Wang 026; Gang Li 001 (MICCAI (8), 2023)

Towards Unified Modality Understanding for Alzheimer's Disease Diagnosis Using Incomplete Multi-modality Data. - Kangfu Han; Fenqiang Zhao; Dajiang Zhu; Tianming Liu 001; Feng Yang 012; Gang Li 001 (MLMI@MICCAI (2), 2023)

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. - Zhengliang Liu; Aoxiao Zhong; Yiwei Li 002; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Peng Shu; Cheng Chen 013; Sekeun Kim; Haixing Dai; Lin Zhao 004; et al. (MLMI@MICCAI (1), 2023)

Mask-guided BERT for Few Shot Text Classification. - Wenxiong Liao; Zhengliang Liu; Haixing Dai; Zihao Wu 001; Yiyang Zhang 003; Xiaoke Huang; Yuzhong Chen; Xi Jiang 001; Dajiang Zhu; Tianming Liu 001; Sheng Li 001; Xiang Li 001; et al. (CoRR, 2023)

ChatAug: Leveraging ChatGPT for Text Data Augmentation. - Haixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Zihao Wu 001; Lin Zhao 004; Wei Liu 146; Ninghao Liu; Sheng Li 001; Dajiang Zhu; Hongmin Cai; Quanzheng Li; et al. (CoRR, 2023)

DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4. - Zhengliang Liu; Xiaowei Yu; Lu Zhang 050; Zihao Wu 001; Chao Cao; Haixing Dai; Lin Zhao 004; Wei Liu 146; Dinggang Shen; Quanzheng Li; Tianming Liu 001; Dajiang Zhu; et al. (CoRR, 2023)

Core-Periphery Principle Guided Redesign of Self-Attention in Transformers. - Xiaowei Yu; Lu Zhang 050; Haixing Dai; Yanjun Lyu; Lin Zhao 004; Zihao Wu 001; David Liu; Tianming Liu 001; Dajiang Zhu (CoRR, 2023)

When Brain-inspired AI Meets AGI. - Lin Zhao 004; Lu Zhang 050; Zihao Wu 001; Yuzhong Chen; Haixing Dai; Xiaowei Yu; Zhengliang Liu; Tuo Zhang; Xintao Hu; Xi Jiang 001; Xiang Li 001; Dajiang Zhu; et al. (CoRR, 2023)

Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models. - Yiheng Liu; Tianle Han; Siyuan Ma; Jiayue Zhang; Yuanyuan Yang; Jiaming Tian; Hao He; Antong Li; Mengshen He; Zhengliang Liu; Zihao Wu 001; Dajiang Zhu; et al. (CoRR, 2023)

AGI for Agriculture. - Guoyu Lu; Sheng Li 001; Gengchen Mai; Jin Sun 011; Dajiang Zhu; Lilong Chai; Haijian Sun; Xianqiao Wang; Haixing Dai; Ninghao Liu; Rui Xu 018; Daniel Petti; et al. (CoRR, 2023)

ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT. - Chong Ma; Zihao Wu 001; Jiaqi Wang 010; Shaochen Xu; Yaonai Wei; Zhengliang Liu; Lei Guo 002; Xiaoyan Cai; Shu Zhang 001; Tuo Zhang; Dajiang Zhu; Dinggang Shen; et al. (CoRR, 2023)

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. - Zihao Wu 001; Lu Zhang 050; Chao Cao; Xiaowei Yu; Haixing Dai; Chong Ma; Zhengliang Liu; Lin Zhao 004; Gang Li 001; Wei Liu 146; Quanzheng Li; Dinggang Shen; et al. (CoRR, 2023)

CP-CNN: Core-Periphery Principle Guided Convolutional Neural Network. - Lin Zhao 004; Haixing Dai; Zihao Wu 001; Dajiang Zhu; Tianming Liu 001 (CoRR, 2023)

ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT. - Tianyang Zhong; Yaonai Wei; Li Yang; Zihao Wu 001; Zhengliang Liu; Xiaozheng Wei; Wenjun Li 001; Junjie Yao; Chong Ma; Xiang Li 001; Dajiang Zhu; Xi Jiang 001; et al. (CoRR, 2023)

Differentiate ChatGPT-generated and Human-written Medical Texts. - Wenxiong Liao; Zhengliang Liu; Haixing Dai; Shaochen Xu; Zihao Wu 001; Yiyang Zhang 003; Xiaoke Huang; Dajiang Zhu; Hongmin Cai; Tianming Liu 001; Xiang Li 001 (CoRR, 2023)

Prompt Engineering for Healthcare: Methodologies and Applications. - Jiaqi Wang 010; Enze Shi; Sigang Yu; Zihao Wu 001; Chong Ma; Haixing Dai; Qiushi Yang; Yanqing Kang; Jinru Wu; Huawen Hu; Chenxi Yue; Haiyang Zhang; et al. (CoRR, 2023)

Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT. - Zhenxiang Xiao; Yuzhong Chen; Lu Zhang 050; Junjie Yao; Zihao Wu 001; Xiaowei Yu; Yi Pan 001; Lin Zhao 004; Chong Ma; Xinyu Liu 001; Wei Liu 146; Xiang Li 001; et al. (CoRR, 2023)

Artificial General Intelligence for Medical Imaging. - Xiang Li 001; Lu Zhang 050; Zihao Wu 001; Zhengliang Liu; Lin Zhao 004; Yixuan Yuan; Jun Liu 075; Gang Li 001; Dajiang Zhu; Pingkuan Yan; Quanzheng Li; Wei Liu 146; et al. (CoRR, 2023)

Radiology-GPT: A Large Language Model for Radiology. - Zhengliang Liu; Aoxiao Zhong; Yiwei Li 002; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Peng Shu; Cheng Chen 013; Sekeun Kim; Haixing Dai; Lin Zhao 004; et al. (CoRR, 2023)

AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology. - Haixing Dai; Yiwei Li 002; Zhengliang Liu; Lin Zhao 004; Zihao Wu 001; Suhang Song; Ye Shen; Dajiang Zhu; Xiang Li 001; Sheng Li 001; Xiaobai Angela Yao; Lu Shi; et al. (CoRR, 2023)

Segment Anything Model (SAM) for Radiation Oncology. - Lian Zhang; Zhengliang Liu; Lu Zhang 050; Zihao Wu 001; Xiaowei Yu; Jason Holmes; Hongying Feng; Haixing Dai; Xiang Li 001; Quanzheng Li; Dajiang Zhu; Tianming Liu 001; et al. (CoRR, 2023)

Review of Large Vision Models and Visual Prompt Engineering. - Jiaqi Wang 010; Zhengliang Liu; Lin Zhao 004; Zihao Wu 001; Chong Ma; Sigang Yu; Haixing Dai; Qiushi Yang; Yiheng Liu; Songyao Zhang; Enze Shi; Yi Pan 001; et al. (CoRR, 2023)

SAMAug: Point Prompt Augmentation for Segment Anything Model. - Haixing Dai; Chong Ma; Zhengliang Liu; Yiwei Li 002; Peng Shu; Xiaozheng Wei; Lin Zhao 004; Zihao Wu 001; Dajiang Zhu; Wei Liu 146; Quanzheng Li; Tianming Liu 001; et al. (CoRR, 2023)

Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference. - Haixing Dai; Mengxuan Hu; Qing Li 027; Lu Zhang 050; Lin Zhao 004; Dajiang Zhu; Ibai Díez; Jorge Sepulcre; Fan Zhang; Xingyu Gao; Manhua Liu; Quanzheng Li; et al. (CoRR, 2023)

Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data. - Hongmin Cai; Xiaoke Huang; Zhengliang Liu; Wenxiong Liao; Haixing Dai; Zihao Wu 001; Dajiang Zhu; Hui Ren 001; Quanzheng Li; Tianming Liu 001; Xiang Li 001 (CoRR, 2023)

Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification. - Haixing Dai; Lu Zhang 050; Lin Zhao 004; Zihao Wu 001; Zhengliang Liu; David Liu; Xiaowei Yu; Yanjun Lyu; Changying Li; Ninghao Liu; Tianming Liu 001; Dajiang Zhu (CoRR, 2023)

Evaluating Large Language Models for Radiology Natural Language Processing. - Zhengliang Liu; Tianyang Zhong; Yiwei Li 002; Yutong Zhang; Yi Pan 001; Zihao Zhao 002; Peixin Dong; Chao Cao; Yuxiao Liu; Peng Shu; Yaonai Wei; Zihao Wu 001; et al. (CoRR, 2023)

Radiology-Llama2: Best-in-Class Large Language Model for Radiology. - Zhengliang Liu; Yiwei Li 002; Peng Shu; Aoxiao Zhong; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Jie Luo 003; Cheng Chen 013; Sekeun Kim; Jiang Hu; et al. (CoRR, 2023)

RadOnc-GPT: A Large Language Model for Radiation Oncology. - Zhengliang Liu; Peilong Wang; Yiwei Li 002; Jason Holmes; Peng Shu; Lian Zhang; Chenbin Liu; Ninghao Liu; Dajiang Zhu; Xiang Li 001; Quanzheng Li; Samir H. Patel; et al. (CoRR, 2023)

PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models. - Chenhao Tang; Zhengliang Liu; Chong Ma; Zihao Wu 001; Yiwei Li 002; Wei Liu 146; Dajiang Zhu; Quanzheng Li; Xiang Li 001; Tianming Liu 001; Lei Fan (CoRR, 2023)

Exploring the Influence of Information Entropy Change in Learning Systems. - Xiaowei Yu; Yao Xue; Lu Zhang 050; Li Wang 033; Tianming Liu 001; Dajiang Zhu (CoRR, 2023)

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data. - Tianyang Zhong; Wei Zhao 040; Yutong Zhang; Yi Pan 001; Peixin Dong; Zuowei Jiang; Xiaoyan Kui; Youlan Shang; Li Yang; Yaonai Wei; Longtao Yang; Hao Chen 011; et al. (CoRR, 2023)

Holistic Evaluation of GPT-4V for Biomedical Imaging. - Zhengliang Liu; Hanqi Jiang; Tianyang Zhong; Zihao Wu 001; Chong Ma; Yiwei Li 002; Xiaowei Yu; Yutong Zhang; Yi Pan 001; Peng Shu; Yanjun Lyu; Lu Zhang 050; et al. (CoRR, 2023)

Characterizing functional brain networks via Spatio-Temporal Attention 4D Convolutional Neural Networks (STA-4DCNNs). - Xi Jiang 001; Jiadong Yan; Yu Zhao 007; Mingxin Jiang; Yuzhong Chen; Jingchao Zhou; Zhenxiang Xiao; Zifan Wang; Rong Zhang; Benjamin Becker; Dajiang Zhu; Keith M. Kendrick; et al. (Neural Networks, 2023)

A generic framework for embedding human brain function with temporally correlated autoencoder. - Lin Zhao 004; Zihao Wu 001; Haixing Dai; Zhengliang Liu; Xintao Hu; Tuo Zhang; Dajiang Zhu; Tianming Liu 001 (Medical Image Anal., 2023)

Genetic Influence on Gyral Peaks. - Ying Huang 007; Tuo Zhang; Songyao Zhang; Weihan Zhang; Li Yang; Dajiang Zhu; Tianming Liu 001; Xi Jiang 001; Junwei Han 001; Lei Guo 002 (NeuroImage, 2023)

InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning. - Zhe Huang; Xiaowei Yu; Dajiang Zhu; Michael C. Hughes (ICML, 2024)

Enhancing Group-Wise Consistency in 3-Hinge Gyrus Matching Via Anatomical Embedding and Structural Connectivity Optimization. - Chao Cao; Xiaowei Yu; Lu Zhang 050; Tong Chen; Yanjun Lyu; Tianming Liu 001; Dajiang Zhu (ISBI, 2024)

Mild Cognitive Impairment Classification Using A Novel Finer-Scale Brain Connectome. - Yanjun Lyu; Lu Zhang 050; Xiaowei Yu; Chao Cao; Tianming Liu 001; Dajiang Zhu (ISBI, 2024)

Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution. - Li Yang; Zhibin He; Tianyang Zhong; Changhe Li; Dajiang Zhu; Junwei Han 001; Tianming Liu 001; Tuo Zhang (MICCAI (7), 2024)

CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis. - Xiaowei Yu; Zihao Wu 001; Lu Zhang 050; Jing Zhang 010; Yanjun Lyu; Dajiang Zhu (MICCAI (3), 2024)

Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks. - Xiaowei Yu; Lu Zhang 050; Chao Cao; Tong Chen; Yanjun Lyu; Jing Zhang 010; Tianming Liu 001; Dajiang Zhu (MICCAI (12), 2024)

Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning. - Chong Ma; Hanqi Jiang; Wenting Chen; Yiwei Li 002; Zihao Wu 001; Xiaowei Yu; Zhengliang Liu; Lei Guo 002; Dajiang Zhu; Tuo Zhang; Dinggang Shen; Tianming Liu 001; et al. (NeurIPS, 2024)

Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices. - Zhihao Shu; Xiaowei Yu; Zihao Wu 001; Wenqi Jia 003; Yinchen Shi; Miao Yin; Tianming Liu 001; Dajiang Zhu; Wei Niu 002 (NeurIPS, 2024)

Eye-gaze Guided Multi-modal Alignment Framework for Radiology. - Chong Ma; Hanqi Jiang; Wenting Chen; Zihao Wu 001; Xiaowei Yu; Fang Zeng; Lei Guo 002; Dajiang Zhu; Tuo Zhang; Dinggang Shen; Tianming Liu 001; Xiang Li 001 (CoRR, 2024)

Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding. - Heng Huang; Lin Zhao 004; Zihao Wu 001; Xiaowei Yu; Jing Zhang 010; Xintao Hu; Dajiang Zhu; Tianming Liu 001 (CoRR, 2024)

Role of Data-driven Regional Growth Model in Shaping Brain Folding Patterns. - Jixin Hou; Zhengwang Wu; Xianyan Chen; Dajiang Zhu; Tianming Liu 001; Gang Li 001; Xianqiao Wang (CoRR, 2024)

GP-GPT: Large Language Model for Gene-Phenotype Mapping. - Yanjun Lyu; Zihao Wu 001; Lu Zhang 050; Jing Zhang 010; Yiwei Li 002; Wei Ruan; Zhengliang Liu; Xiaowei Yu; Chao Cao; Tong Chen; Minheng Chen; Yan Zhuang; et al. (CoRR, 2024)

Evaluation of OpenAI o1: Opportunities and Challenges of AGI. - Tianyang Zhong; Zhengliang Liu; Yi Pan 001; Yutong Zhang; Yifan Zhou; Shizhe Liang; Zihao Wu 001; Yanjun Lyu; Peng Shu; Xiaowei Yu; Chao Cao; Hanqi Jiang; et al. (CoRR, 2024)

Analyzing Nobel Prize Literature with Large Language Models. - Zhenyuan Yang; Zhengliang Liu; Jian Zhang; Cen Lu; Jiaxin Tai; Tianyang Zhong; Yiwei Li 002; Siyan Zhao; Teng Yao; Qing Liu; Jinlin Yang; Qixin Liu; et al. (CoRR, 2024)

Large Language Models for Manufacturing. - Yiwei Li 002; Huaqin Zhao; Hanqi Jiang; Yi Pan 001; Zhengliang Liu; Zihao Wu 001; Peng Shu; Jie Tian; Tianze Yang; Shaochen Xu; Yanjun Lyu; Parker Blenk; et al. (CoRR, 2024)

Using Structural Similarity and Kolmogorov-Arnold Networks for Anatomical Embedding of 3-hinge Gyrus. - Minheng Chen; Chao Cao; Tong Chen; Yan Zhuang; Jing Zhang 010; Yanjun Lyu; Xiaowei Yu; Lu Zhang 050; Tianming Liu 001; Dajiang Zhu (CoRR, 2024)

Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios. - Shaochen Xu; Yifan Zhou; Zhengliang Liu; Zihao Wu 001; Tianyang Zhong; Huaqin Zhao; Yiwei Li 002; Hanqi Jiang; Yi Pan 001; Junhao Chen; Jin Lu 001; Wei Zhang 090; et al. (CoRR, 2024)

Mask-guided BERT for few-shot text classification. - Wenxiong Liao; Zhengliang Liu; Haixing Dai; Zihao Wu 001; Yiyang Zhang 003; Xiaoke Huang; Yuzhong Chen; Xi Jiang 001; David Liu; Dajiang Zhu; Sheng Li 001; Wei Liu 146; et al. (Neurocomputing, 2024)

BI-AVAN: A Brain-Inspired Adversarial Visual Attention Network for Characterizing Human Visual Attention From Neural Activity. - Heng Huang; Lin Zhao 004; Haixing Dai; Lu Zhang 050; Xintao Hu; Dajiang Zhu; Tianming Liu 001 (IEEE Trans. Multim., 2024)

Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer. - Zhenxiang Xiao; Yuzhong Chen; Junjie Yao; Lu Zhang 050; Zhengliang Liu; Zihao Wu 001; Xiaowei Yu; Yi Pan 001; Lin Zhao 004; Chong Ma; Xinyu Liu 001; Wei Liu 146; et al. (Inf. Fusion, 2024)

Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations. - Lin Zhao 004; Haixing Dai; Zihao Wu 001; Zhenxiang Xiao; Lu Zhang 050; David Weizhong Liu; Xintao Hu; Xi Jiang 001; Sheng Li 001; Dajiang Zhu; Tianming Liu 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

MEET: A Multi-Band EEG Transformer for Brain States Decoding. - Enze Shi; Sigang Yu; Yanqing Kang; Jinru Wu; Lin Zhao 004; Dajiang Zhu; Jinglei Lv; Tianming Liu 001; Xintao Hu; Shu Zhang 006 (IEEE Trans. Biomed. Eng., 2024)

Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging. - Tianming Liu 001; Dajiang Zhu; Fei Wang 001; Islem Rekik; Xia Ben Hu; Dinggang Shen (IEEE Trans. Neural Networks Learn. Syst., 2024)

An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT. - Chong Ma; Zihao Wu 001; Jiaqi Wang 010; Shaochen Xu; Yaonai Wei; Zhengliang Liu; Fang Zeng; Xi Jiang 001; Lei Guo 002; Xiaoyan Cai; Shu Zhang 006; Tuo Zhang; et al. (IEEE Trans. Artif. Intell., 2024)

EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis. - Yi Pan 001; Hanqi Jiang; Junhao Chen; Yiwei Li 002; Huaqin Zhao; Yifan Zhou; Peng Shu; Zihao Wu 001; Zhengliang Liu; Dajiang Zhu; Xiang Li 001; Yohannes Abate; et al. (ISBI, 2025)

Brain-Adapter: Enhancing Neurological Disorder Analysis with Adapter-Tuning Multimodal Large Language Models. - Jing Zhang 010; Xiaowei Yu; Yanjun Lyu; Lu Zhang 050; Tong Chen; Chao Cao; Yan Zhuang; Minheng Chen; Tianming Liu 001; Dajiang Zhu (ISBI, 2025)

Using Structural Similarity and Kolmogorov-Arnold Networks for Anatomical Embedding of Cortical Folding Patterns. - Minheng Chen; Chao Cao; Tong Chen; Yan Zhuang; Jing Zhang 010; Yanjun Lyu; Xiaowei Yu; Lu Zhang 050; Tianming Liu 001; Dajiang Zhu (ISBI, 2025)

Unsupervised Cortical Surface Registration Network for Aligning Gyralnet. - Jiale Cheng; Fenqiang Zhao; Dan Hu; Chao Cao; Zhengwang Wu; Xinrui Yuan; Kangfu Han; Lu Zhang 050; Tianming Liu 001; Dajiang Zhu; Gang Li 001 (ISBI, 2025)

Dual Multi-Atlas Representation Alignment for Brain Disorder Diagnosis Using Morphological Connectome. - Kangfu Han; Dan Hu; Jiale Cheng; Tianming Liu 001; Andrea Bozoki; Dajiang Zhu; Gang Li 001 (ISBI, 2025)

Ca-vqvae: Cortical Folding Aware Numerical Representation of White-Matter Structure. - Yanjun Lyu; Jing Zhang 010; Lu Zhang 050; Tong Chen; Xiaowei Yu; Minheng Chen; Yan Zhuang; Chao Cao; Tianming Liu 001; Dajiang Zhu (ISBI, 2025)

Classiffication of Mild Cognitive Impairment Based on Dynamic Functional Connectivity using Spatio-Temporal Transformer. - Jing Zhang 010; Yanjun Lyu; Xiaowei Yu; Lu Zhang 050; Chao Cao; Tong Chen; Minheng Chen; Yan Zhuang; Tianming Liu 001; Dajiang Zhu (ISBI, 2025)

Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer. - Lu Zhang 050; Zhengwang Wu; Xiaowei Yu; Yanjun Lyu; Zihao Wu 001; Haixing Dai; Lin Zhao 004; Li Wang 026; Gang Li 001; Xianqiao Wang; Tianming Liu 001; Dajiang Zhu (Medical Image Anal., 2025)

Large Language Models for Bioinformatics. - Wei Ruan; Yanjun Lyu; Jing Zhang 010; Jiazhang Cai; Peng Shu; Yang Ge; Yao Lu; Shang Gao; Yue Wang; Peilong Wang; Lin Zhao 004; Tao Wang; et al. (CoRR, 2025)

Classification of Mild Cognitive Impairment Based on Dynamic Functional Connectivity Using Spatio-Temporal Transformer. - Jing Zhang 010; Yanjun Lyu; Xiaowei Yu; Lu Zhang 050; Chao Cao; Tong Chen; Minheng Chen; Yan Zhuang; Tianming Liu 001; Dajiang Zhu (CoRR, 2025)

A Unified and Biologically Plausible Relational Graph Representation of Vision Transformers. - Yuzhong Chen; Zhenxiang Xiao; Yu Du; Lin Zhao 004; Lu Zhang 050; Zihao Wu 001; Dajiang Zhu; Tuo Zhang; Dezhong Yao 001; Xintao Hu; Tianming Liu 001; Xi Jiang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification. - Jing Zhang 010; Xiaowei Yu; Tong Chen; Chao Cao; Mingheng Chen; Yan Zhuang; Yanjun Lyu; Lu Zhang 050; Li Su; Tianming Liu 001; Dajiang Zhu (CoRR, 2025)

Core-Periphery Principle Guided State Space Model for Functional Connectome Classification. - Minheng Chen; Xiaowei Yu; Jing Zhang 010; Tong Chen; Chao Cao; Yan Zhuang; Yanjun Lyu; Lu Zhang 050; Tianming Liu 001; Dajiang Zhu (CoRR, 2025)

GyralNet Subnetwork Partitioning via Differentiable Spectral Modularity Optimization. - Yan Zhuang; Minheng Chen; Chao Cao; Tong Chen; Jing Zhang 010; Xiaowei Yu; Yanjun Lyu; Lu Zhang 050; Tianming Liu 001; Dajiang Zhu (CoRR, 2025)

AD-GPT: Large Language Models in Alzheimer's Disease. - Ziyu Liu; Lintao Tang; Zeliang Sun; Zhengliang Liu; Yanjun Lyu; Wei Ruan; Yangshuang Xu; Liang Shan 001; Jiyoon Shin; Xiaohe Chen; Dajiang Zhu; Tianming Liu 001; et al. (CoRR, 2025)

Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions. - Luyang Fang; Xiaowei Yu; Jiazhang Cai; Yongkai Chen; Shushan Wu; Zhengliang Liu; Zhenyuan Yang; Haoran Lu; Xilin Gong; Yufang Liu; Terry Ma; Wei Ruan; et al. (CoRR, 2025)

Mask-Guided Vision Transformer for Few-Shot Learning. - Yuzhong Chen; Zhenxiang Xiao; Yi Pan 001; Lin Zhao 004; Haixing Dai; Zihao Wu 001; Changhe Li; Tuo Zhang; Changying Li; Dajiang Zhu; Tianming Liu 001; Xi Jiang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

AugGPT: Leveraging ChatGPT for Text Data Augmentation. - Haixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu 001; Lin Zhao 004; Shaochen Xu; Fang Zeng; Wei Liu 146; Ninghao Liu; Sheng Li 001; et al. (IEEE Trans. Big Data, 2025)

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. - Zihao Wu 001; Lu Zhang 050; Chao Cao; Xiaowei Yu; Zhengliang Liu; Lin Zhao 004; Yiwei Li 002; Haixing Dai; Chong Ma; Gang Li 001; Wei Liu 146; Quanzheng Li; et al. (IEEE Trans. Big Data, 2025)

Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer. - Xiaowei Yu; Jing Zhang 010; Tong Chen; Yan Zhuang; Minheng Chen; Chao Cao; Yanjun Lyu; Lu Zhang 050; Li Su; Tianming Liu 001; Dajiang Zhu (CoRR, 2025)

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems. - Sohan Shankar; Yi Pan 001; Hanqi Jiang; Zhengliang Liu; Mohammad R. Darbandi; Agustin Lorenzo; Junhao Chen; Md Mehedi Hasan; Arif Hassan Zidan; Eliana Gelman; Joshua A. Konfrst; Jillian Y. Russell; et al. (CoRR, 2025)

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges. - Haoran Lu; Luyang Fang; Ruidong Zhang; Xinliang Li; Jiazhang Cai; Huimin Cheng; Lin Tang; Ziyu Liu; Zeliang Sun; Tao Wang; Yingchuan Zhang; Arif Hassan Zidan; et al. (CoRR, 2025)

Bridging Brain Connectomes and Clinical Reports for Early Alzheimer's Disease Diagnosis. - Jing Zhang 010; Xiaowei Yu; Minheng Chen; Lu Zhang 050; Tong Chen; Yan Zhuang; Chao Cao; Yanjun Lyu; Li Su; Tianming Liu 001; Dajiang Zhu (CoRR, 2025)