Xi Jiang

Orcid: 0000-0003-3711-0847

Affiliations:
  • University of Electronic Science and Technology of China, The Clinical Hospital of Chengdu Brain Science Institute, Chengdu, China


According to our database1, Xi Jiang authored at least 131 papers between 2010 and 2024.

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Bibliography

2024
An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT.
IEEE Trans. Artif. Intell., August, 2024

Anatomy-Guided Spatio-Temporal Graph Convolutional Networks (AG-STGCNs) for Modeling Functional Connectivity Between Gyri and Sulci Across Multiple Task Domains.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Adversarial Learning Based Node-Edge Graph Attention Networks for Autism Spectrum Disorder Identification.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

MGIML: Cancer Grading With Incomplete Radiology-Pathology Data via Memory Learning and Gradient Homogenization.
IEEE Trans. Medical Imaging, June, 2024

Deep Metric Learning Based on Meta-Mining Strategy With Semiglobal Information.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Brain Structural Connectivity Guided Vision Transformers for Identification of Functional Connectivity Characteristics in Preterm Neonates.
IEEE J. Biomed. Health Informatics, April, 2024

Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations.
IEEE Trans. Cogn. Dev. Syst., April, 2024

Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer.
Inf. Fusion, April, 2024

Regularity and variability of functional brain connectivity characteristics between gyri and sulci under naturalistic stimulus.
Comput. Biol. Medicine, January, 2024

Fusing multi-scale functional connectivity patterns via Multi-Branch Vision Transformer (MB-ViT) for macaque brain age prediction.
Neural Networks, 2024

Mask-guided BERT for few-shot text classification.
Neurocomputing, 2024

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

Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer.
CoRR, 2024

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

Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports.
CoRR, 2024

Adaptive Critical Subgraph Mining for Cognitive Impairment Conversion Prediction with T1-MRI-based Brain Network.
CoRR, 2024

2023
A-GCL: Adversarial graph contrastive learning for fMRI analysis to diagnose neurodevelopmental disorders.
Medical Image Anal., December, 2023

Eye-Gaze-Guided Vision Transformer for Rectifying Shortcut Learning.
IEEE Trans. Medical Imaging, November, 2023

Genetic Influence on Gyral Peaks.
NeuroImage, October, 2023

Multimodal cross enhanced fusion network for diagnosis of Alzheimer's disease and subjective memory complaints.
Comput. Biol. Medicine, May, 2023

Characterizing functional brain networks via Spatio-Temporal Attention 4D Convolutional Neural Networks (STA-4DCNNs).
Neural Networks, January, 2023

Holistic Evaluation of GPT-4V for Biomedical Imaging.
CoRR, 2023

Ophtha-LLaMA2: A Large Language Model for Ophthalmology.
CoRR, 2023

Evaluating Large Language Models in Ophthalmology.
CoRR, 2023

Evaluating multiple large language models in pediatric ophthalmology.
CoRR, 2023

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.
CoRR, 2023

Evaluating Large Language Models for Radiology Natural Language Processing.
CoRR, 2023

Review of Large Vision Models and Visual Prompt Engineering.
CoRR, 2023

Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT.
CoRR, 2023

ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT.
CoRR, 2023

When Brain-inspired AI Meets AGI.
CoRR, 2023

Mask-guided BERT for Few Shot Text Classification.
CoRR, 2023

Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs).
Medical Image Anal., 2022

A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers.
CoRR, 2022

Rectify ViT Shortcut Learning by Visual Saliency.
CoRR, 2022

Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning.
CoRR, 2022

Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning.
CoRR, 2022

2021
Intrinsic, dynamic and effective connectivity among large-scale brain networks modulated by oxytocin.
NeuroImage, 2021

A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Attention-Based Node-Edge Graph Convolutional Networks for Identification of Autism Spectrum Disorder Using Multi-Modal MRI Data.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Exploring Gyro-Sulcal Functional Connectivity Differences Across Task Domains via Anatomy-Guided Spatio-Temporal Graph Convolutional Networks.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020
Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network.
IEEE Trans. Biomed. Eng., 2020

Identifying Cross-individual Correspondences of 3-hinge Gyri.
Medical Image Anal., 2020

Species-Shared and -Specific Structural Connections Revealed by Dirty Multi-task Regression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Exploring Functional Difference Between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

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

Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci.
IEEE Trans. Biomed. Eng., 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

A Task Performance-guided Model of Functional Networks Identification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex.
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

Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts.
Neuroinformatics, 2018

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

A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data.
Frontiers Neuroinformatics, 2018

Optimization of macaque brain DMRI connectome by neuron tracing and myelin stain data.
Comput. Medical Imaging Graph., 2018

Characterizing task-evoked and intrinsic functional networks from task-based fMRI data via two-stage sparse dictionary learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Transcriptome Architecture of Adult Mouse Brain Revealed by Sparse Coding of Genome-Wide In Situ Hybridization Images.
Neuroinformatics, 2017

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

Joint Representation of Connectome-Scale Structural and Functional Profiles for Identification of Consistent Cortical Landmarks in Human Brains.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 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
Predicting Movie Trailer Viewer's "Like/Dislike" via Learned Shot Editing Patterns.
IEEE Trans. Affect. Comput., 2016

Group-wise consistent cortical parcellation based on connectional profiles.
Medical Image Anal., 2016

Exploring Brain Networks via Structured Sparse Representation of fMRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

A Multi-stage Sparse Coding Framework to Explore the Effects of Prenatal Alcohol Exposure.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Species Preserved and Exclusive Structural Connections Revealed by Sparse CCA.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Discover Mouse Gene Coexpression Landscape Using Dictionary Learning and Sparse Coding.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

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

Multple-demand system identification and characterization via sparse representations of fMRI data.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Exploring auditory network composition during free listening to audio excerpts via group-wise sparse representation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Sub-network Based Kernels for Brain Network Classification.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015
Supervised Dictionary Learning for Inferring Concurrent Brain Networks.
IEEE Trans. Medical Imaging, 2015

Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function.
IEEE Trans. Biomed. Eng., 2015

Anatomy-Guided Dense Individualized and Common Connectivity-Based Cortical Landmarks (A-DICCCOL).
IEEE Trans. Biomed. Eng., 2015

Sparse representation of whole-brain fMRI signals for identification of functional networks.
Medical Image Anal., 2015

Analysis of music/speech via integration of audio content and functional brain response.
Inf. Sci., 2015

HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI).
Brain Informatics, 2015

Multi-scale and Multimodal Fusion of Tract-Tracing, Myelin Stain and DTI-derived Fibers in Macaque Brains.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

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

Fiber Connection Pattern-Guided Structured Sparse Representation of Whole-Brain fMRI Signals for Functional Network Inference.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Longitudinal Analysis of Brain Recovery after Mild Traumatic Brain Injury Based on Groupwise Consistent Brain Network Clusters.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Characterizing and differentiating task-based and resting state FMRI signals via two-stage dictionary learning.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Group-wise consistent sulcal fundi segmentation based on DMRI-derived ODF features.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Multiscale and multimodal fusion of tract-tracing and DTI-derived fibers in macaque brains.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

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

2014
Fusing DTI and fMRI data: A survey of methods and applications.
NeuroImage, 2014

Intrinsic Functional Component Analysis via Sparse Representation on Alzheimer's Disease Neuroimaging Initiative Database.
Brain Connect., 2014

The New Graph Kernels on Connectivity Networks for Identification of MCI.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

Decoding Auditory Saliency from FMRI Brain Imaging.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Connectomics signature for characterizaton of mild cognitive impairment and schizophrenia.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Group-wise consistent cortical parcellation based on DTI-derived connectional profiles.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Learning fMRI-guided predictor of video shot changes.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Dynamic network partition via Bayesian connectivity bi-partition change point model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Exploring functional brain dynamics via a Bayesian connectivity change point model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Generalized fMRI activation detection via Bayesian magnitude change point model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Discovering network-level functional interactions from working memory fMRI data.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Integrating group-wise functional brain activities via point processes.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Evolutionarily-preserved consistent gyral folding patterns across primate brains.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Group-wise optimization and individualized prediction of structural connectomes.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-View Spectral Clustering.
IEEE Trans. Medical Imaging, September, 2013

Representing and Retrieving Video Shots in Human-Centric Brain Imaging Space.
IEEE Trans. Image Process., 2013

Meta-Analysis of Functional Roles of DICCCOLs.
Neuroinformatics, 2013

Predicting cortical ROIs via joint modeling of anatomical and connectional profiles.
Medical Image Anal., 2013

Sparse Representation of Higher-Order Functional Interaction Patterns in Task-Based FMRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Modeling Cognitive Processes via Multi-stage Consistent Functional Response Detection.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Sparse Representation of Group-Wise FMRI Signals.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Assessing Structural Organization and Functional Interaction in Gyral, Sulcal and Cortical Networks.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Anatomy-Guided Discovery of Large-Scale Consistent Connectivity-Based Cortical Landmarks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Predicting functional cortical ROIs via joint modeling of anatomical and connectional profiles.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Activated cliques: Network-based activation detection in task-based FMRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Identifying functional connectomics abnormality in attention deficit hyperactivity disorder.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Discovering common functional connectomics signatures.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models.
Proceedings of the Information Processing in Medical Imaging, 2013

2012
Visual analytics of brain networks.
NeuroImage, 2012

Music/speech classification using high-level features derived from fmri brain imaging.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

2011
Identification of cortical landmarks based on structural connectivity to subcortical regions.
Int. J. Comput. Biol. Drug Des., 2011

Identification of Cortical Landmarks Based on Consistent Connectivity to Subcortical Structures.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Fine granularity parcellation of gyrus via fiber shape and connectivity based features.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Discovering Dense and Consistent Landmarks in the Brain.
Proceedings of the Information Processing in Medical Imaging, 2011

2010
Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Bridging low-level features and high-level semantics via fMRI brain imaging for video classification.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Automatic cortical surface parcellation based on fiber density information.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Joint analysis of fiber shape and cortical folding patterns.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Human-centered attention models for video summarization.
Proceedings of the 12th International Conference on Multimodal Interfaces / 7. International Workshop on Machine Learning for Multimodal Interaction, 2010


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