Dexuan Xu

Orcid: 0000-0003-3100-5886

According to our database1, Dexuan Xu authored at least 17 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2026
Knowledge fusion in deep learning-based medical vision-language models: A review.
Inf. Fusion, 2026

2025
DatawiseAgent: A Notebook-Centric LLM Agent Framework for Automated Data Science.
CoRR, March, 2025

Semi-supervised medical image classification via Cross-Training and Dual-Teacher fusion model.
Inf. Fusion, 2025

Uncertainty-aware Masked Modeling in Medical Imaging.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

MIMO: A Medical Vision Language Model with Visual Referring Multimodal Input and Pixel Grounding Multimodal Output.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Graph Structure Enhanced Pre-Training Language Model for Knowledge Graph Completion.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

Decouple and Decorrelate: A Disentanglement Security Framework Combining Sample Weighting for Cross-Institution Biased Disease Diagnosis.
IEEE Internet Things J., 2024

No-Reference MRI Quality Assessment via Contrastive Representation: Spatial and Frequency Domain Perspectives.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

A Novel Multi-Atlas Fusion Model Based On Contrastive Learning For Functional Connectivity Graph Diagnosis.
Proceedings of the IEEE International Conference on Acoustics, 2024

Curriculum Learning for Self-Iterative Semi-Supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

MR Image Quality Assessment via Enhanced Mamba: A Hybrid Spatial-Frequency Approach.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

MLeVLM: Improve Multi-level Progressive Capabilities based on Multimodal Large Language Model for Medical Visual Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Vision-knowledge fusion model for multi-domain medical report generation.
Inf. Fusion, September, 2023

Refining the Unseen: Self-supervised Two-stream Feature Extraction for Image Quality Assessment.
Proceedings of the IEEE International Conference on Data Mining, 2023

Radiology Report Generation via Structured Knowledge-Enhanced Multi-modal Attention and Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023


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