Xiaowei Yu

Orcid: 0009-0009-4583-0669

Affiliations:
  • Missouri University of Science and Technology, Department of Computer Science, Rolla, MO, USA
  • University of Texas at Arlington, Department of Computer Science and Engineering, Arlington, TX, USA (PhD)
  • Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Shanghai, China (former)


According to our database1, Xiaowei Yu authored at least 51 papers between 2018 and 2026.

Collaborative distances:

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Bibliography

2026
Knowledge distillation and dataset distillation of large language models: emerging trends, challenges, and future directions.
Artif. Intell. Rev., January, 2026

Triplet longitudinal masked autoencoder for predicting individualized functional connectome development during infancy.
Medical Image Anal., 2026

DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Core-Periphery Multi-Modality Feature Alignment for Zero-Shot Medical Image Analysis.
IEEE Trans. Medical Imaging, October, 2025

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems.
CoRR, July, 2025

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.
IEEE Trans. Big Data, June, 2025

BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification.
CoRR, March, 2025

Classification of Mild Cognitive Impairment Based on Dynamic Functional Connectivity Using Spatio-Temporal Transformer.
CoRR, January, 2025

Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer.
Medical Image Anal., 2025

Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

GyralNet Subnetwork Partitioning via Differentiable Spectral Modularity Optimization.
Proceedings of the Machine Learning in Medical Imaging - 16th International Workshop, 2025

Bridging Brain Connectomes and Clinical Reports for Early Alzheimer's Disease Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 16th International Workshop, 2025

Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Core-Periphery Principle Guided State Space Model for Functional Connectome Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

A Unified Continuous Staging Framework for Alzheimer's Disease and Lewy Body Dementia via Hierarchical Anatomical Features.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Classiffication of Mild Cognitive Impairment Based on Dynamic Functional Connectivity using Spatio-Temporal Transformer.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Ca-vqvae: Cortical Folding Aware Numerical Representation of White-Matter Structure.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Semi-Supervised Multimodal Multi-Instance Learning for Aortic Stenosis Diagnosis.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Using Structural Similarity and Kolmogorov-Arnold Networks for Anatomical Embedding of Cortical Folding Patterns.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Brain-Adapter: Enhancing Neurological Disorder Analysis with Adapter-Tuning Multimodal Large Language Models.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

ECHOPulse: ECG Controlled Echocardio-gram Video Generation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification.
Proceedings of the IEEE International Conference on Data Mining, 2025

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

Using Structural Similarity and Kolmogorov-Arnold Networks for Anatomical Embedding of 3-hinge Gyrus.
CoRR, 2024

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

GP-GPT: Large Language Model for Gene-Phenotype Mapping.
CoRR, 2024

Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding.
CoRR, 2024

Eye-gaze Guided Multi-modal Alignment Framework for Radiology.
CoRR, 2024

Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Mild Cognitive Impairment Classification Using A Novel Finer-Scale Brain Connectome.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Enhancing Group-Wise Consistency in 3-Hinge Gyrus Matching Via Anatomical Embedding and Structural Connectivity Optimization.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Exploring the Influence of Information Entropy Change in Learning Systems.
CoRR, 2023

Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification.
CoRR, 2023

Segment Anything Model (SAM) for Radiation Oncology.
CoRR, 2023

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

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.
CoRR, 2023

When Brain-inspired AI Meets AGI.
CoRR, 2023

Core-Periphery Principle Guided Redesign of Self-Attention in Transformers.
CoRR, 2023

DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4.
CoRR, 2023

Representative Functional Connectivity Learning for Multiple Clinical Groups in Alzheimer's Disease.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Supervised Deep Tree in Alzheimer's Disease.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Disentangling Spatial-Temporal Functional Brain Networks via Twin-Transformers.
CoRR, 2022

Classification of Alzheimer's Disease via Vision Transformer: Classification of Alzheimer's Disease via Vision Transformer.
Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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.
Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

2018
Doppler Scale Estimation for Underwater Acoustic Communications Using Dual Zadoff-Chu Sequences.
Proceedings of the 2018 IEEE International Conference on Signal Processing, 2018


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