Dexuan Xu
Orcid: 0000-0003-3100-5886
According to our database1,
Dexuan Xu
authored at least 17 papers
between 2023 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Inf. Fusion, 2026
2025
CoRR, March, 2025
Semi-supervised medical image classification via Cross-Training and Dual-Teacher fusion model.
Inf. Fusion, 2025
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
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
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
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
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