COPYRIGHT NOTICE: These materials are presented to ensure the timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author’s copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. If you use the code or data, please cite us! 


  • Multi-Site MRI Harmonization via Attention-Guided Deep Domain Adaptation for Brain Disorder Identification. Medical Image Analysis, 2021. [Download]
  • Assessing Clinical Progression from Subjective Cognitive Decline to Mild Cognitive Impairment with Incomplete Multi-modal Neuroimages. Medical Image Analysis, 2021. [Download]
  • Modeling Dynamic Characteristics of Brain Functional Connectivity Networks using Resting-State Functional MRI. Medical Image Analysis, 2021. [Download]
  • Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack. Medical Image Analysis, 2021. [Download]
  • Estimating Sparse Functional Connectivity Networks via Hyperparameter-Free Learning Model. Artificial Intelligence in Medicine, 2021. [Download]
  • Modularity-Guided Functional Brain Network Analysis for Early-Stage Dementia Identification. Frontiers in Neuroscience, 15: 720909, 2021. [Download]
  • High-Order Laplacian Regularized Low-Rank Representation for Multimodal Dementia Diagnosis. Frontiers in Neuroscience, 2021. [Download]
  • A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders using Functional or Structural Connectivity. IEEE TMI, 2021. [Download]


  • Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. IEEE TBME, 2020. [Download]
  • Designing Weighted Correlation Kernels in Convolutional Neural Networks for Functional Connectivity based Brain Disease Diagnosis. Medical Image Analysis, 2020 [Download].
  • Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Disease Identification. IEEE TPAMI, 2020. [Download]
  • Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. MICCAI, 2020. [Download]


  • Weakly-supervised Deep Network for Joint Classification and Regression. IEEE TCYB, 2019. [Download]


  • Cycle-consistent GAN for Synthesizing Incomplete Multi-modal Neuroimages. MICCAI, 2018. [Download]
  • Landmark-based Multi-instance Learning for Brain Disease Identification. Medical Image Analysis, 2018. [Download]
  • Ordinal Pattern Descriptor for Brain Functional Connectivity Networks. IEEE TMI, 2018. [Download]
  • Multi-hypergraph Learning with Incomplete Multi-modality Data. IEEE JBHI, 2018. [Download]
  • Anatomical Landmark-based Feature Learning for Structural MRIs. IEEE JBHI, 2018. [Download]


  • View-aligned Hypergraph Learning with Incomplete Multi-modality Data. Medical Image Analysis, 2017. [Download]
  • Effective Distance based Sparse Feature Selection. Neurocomputing, 2017. [Download]


  • Joint Binary Classifier Learning with Error Correcting Output Code (ECOC), IEEE TPAMI, 2016. [Download]
  • Relationship-induced Multi-template Learning for Brain Disease Diagnosis. IEEE TMI, 2016. [Download]
  • Pairwise Constraint Guided Sparse Learning for Feature Selection. IEEE TCYB, 2016. [Download]
  • Inherent Structure based Multi-view Learning with Multi-template Representation. IEEE TBME, 2016. [Download]


  • View-centralized Multi-view Learning for Disease Diagnosis. Human Brain Mapping, 2015. [Download]


  • Two-stage Cost-sensitive Learning for Feature Selection. IEEE TR, 2014. [Download]
  • Attribute Relation Learning for Zero-shot Classification. Neurocomputing, 2014. [Download]
  • Sparsity Score for Feature Selection. Intel. J. PRAI, 2014. [Download]