Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling.
Medical Image Anal., 2025
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Joint modeling of human cortical structure: Genetic correlation network and composite-trait genetic correlation.
NeuroImage, 2024
Implicit Geometry of Next-token Prediction: From Language Sparsity Patterns to Model Representations.
CoRR, 2024
Learnable Community-Aware Transformer for Brain Connectome Analysis with Token Clustering.
CoRR, 2024
Volume-Optimal Persistence Homological Scaffolds of Hemodynamic Networks Covary with MEG Theta-Alpha Aperiodic Dynamics.
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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits.
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Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
A Comprehensive Evaluation of Bluetooth Low Energy Mesh.
Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 2024
Learning High-Order Relationships of Brain Regions.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Caudal and Thalamic Segregation in White Matter Brain Network Communities in Alzheimer's Disease Population.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024
Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Fusion of acoustic and deep features for pig cough sound recognition.
Comput. Electron. Agric., 2022
On the Insecurity of a Certificateless Public Verification Protocol for the Outsourced Data Integrity in Cloud Storage.
Proceedings of the Advances in Internet, Data & Web Technologies, 2022
Consistency of Graph Theoretical Measurements of Alzheimer's Disease Fiber Density Connectomes Across Multiple Parcellation Scales.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Pursuing Sources of Heterogeneity in Modeling Clustered Population.
CoRR, 2020
Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes.
Proceedings of the AMIA 2020, 2020
Dynamic Gesture Recognition Using Inertial Sensors-based Data Gloves.
Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019
Bayesian Multiresolution Variable Selection for Ultra-High Dimensional Neuroimaging Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Association networks in a matched case-control design - Co-occurrence patterns of preexisting chronic medical conditions in patients with major depression versus their matched controls.
J. Biomed. Informatics, 2018
Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Subtyping Parkinson's Disease with Recurrent Neural Network Models.
Proceedings of the AMIA 2017, 2017
Bayesian network feature finder (BANFF): an R package for gene network feature selection.
Bioinform., 2016
AAPL: assessing association between <i>p</i>-value lists.
Stat. Anal. Data Min., 2013