Wei Zhang

Affiliations:
  • University of Georgia, Department of Computer Science / Bioimaging Research Center, Cortical Architecture Imaging and Discovery Lab, Athens, GA, USA


According to our database1, Wei Zhang authored at least 35 papers between 2000 and 2024.

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Bibliography

2024
Evaluation of OpenAI o1: Opportunities and Challenges of AGI.
CoRR, 2024

A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks.
CoRR, 2024

Enhancing LLM's Cognition via Structurization.
CoRR, 2024

2022
Evolutional Neural Architecture Search for Optimization of Spatiotemporal Brain Network Decomposition.
IEEE Trans. Biomed. Eng., 2022

SENDER: SEmi-Nonlinear Deep Efficient Reconstructor for Extraction Canonical, Meta, and Sub Functional Connectivity in the Human Brain.
CoRR, 2022

DELMAR: Deep Linear Matrix Approximately Reconstruction to Extract Hierarchical Functional Connectivity in the Human Brain.
CoRR, 2022

DEMAND: Deep Matrix Approximately Nonlinear Decomposition to Identify Meta, Canonical, and Sub-Spatial Pattern of functional Magnetic Resonance Imaging in the Human Brain.
CoRR, 2022

SADAM: Stochastic Adam, A Stochastic Operator for First-Order Gradient-based Optimizer.
CoRR, 2022

2021
Modeling Hierarchical Spatial and Temporal Patterns of Naturalistic fMRI Volume via Volumetric Deep Belief Network with Neural Architecture Search.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs).
IEEE Trans. Cogn. Dev. Syst., 2020

Modeling task-based fMRI data via deep belief network with neural architecture search.
Comput. Medical Imaging Graph., 2020

Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning.
Brain Connect., 2020

Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Identifying Hierarchical Individual Functional Network under Naturalistic Paradigm via Two-stage DBN with Neural Architecture Search.
Proceedings of the ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, 2020

Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture Search.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data.
IEEE Trans. Biomed. Eng., 2019

Discovering hierarchical common brain networks via multimodal deep belief network.
Medical Image Anal., 2019

Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks.
IEEE Trans. Biomed. Eng., 2018

Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex.
IEEE Trans. Biomed. Eng., 2018

Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs.
NeuroImage, 2018

Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN).
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Modeling resting state fMRI data via longitudinal supervised stochastic coordinate coding.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Latent source mining of fMRI data via deep belief network.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Task fMRI data analysis based on supervised stochastic coordinate coding.
Medical Image Anal., 2017

A novel framework for groupwise registration of fMRI images based on common functional networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Modeling Functional Dynamics of Cortical Gyri and Sulci.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Signal sampling for efficient sparse representation of resting state FMRI data.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2004
Optimized prostate biopsy via a statistical atlas of cancer spatial distribution.
Medical Image Anal., 2004

Development and evaluation of optimal prostate biopsy protocols for individual groups of patients.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

2001
Probability of cancer detection with optimized prostate biopsy protocols.
Proceedings of the Medical Imaging 2001: Visualization, 2001

2000
Distribution of Prostrate Cancer for Optimized Biopsy Protocols.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000


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