Dexuan Xu

According to our database, Dexuan Xu authored at least 24 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Listen, Pause, and Reason: Toward Perception-Grounded Hybrid Reasoning for Audio Understanding.

Jieyi Wang, Yazhe Niu, Dexuan Xu, Zhongyu Wei

CoRR, April, 2026

Revisiting Label Inference Attacks in Vertical Federated Learning: Why They Are Vulnerable and How to Defend.

Yige Liu, Dexuan Xu, Zimai Guo, Yongzhi Cao, Hanpin Wang

CoRR, March, 2026

Knowledge fusion in deep learning-based medical vision-language models: A review.

Dexuan Xu, Yanyuan Chen, Zhongyan Chai, Yifan Xiao, Yandong Yan, Weiping Ding, Hanpin Wang, Zhi Jin, Wenpin Jiao, Weihua Yue, Hang Li, Yu Huang

Inf. Fusion, 2026

MedMKEB: A Comprehensive Knowledge Editing Benchmark for Medical Multimodal Large Language Models.

Dexuan Xu, Jieyi Wang, Zhongyan Chai, Yongzhi Cao, Hanpin Wang, Huamin Zhang, Yu Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MedReflect: Teaching Medical LLMs to Self-Improve via Reflective Correction.

Yue Huang, Yanyuan Chen, Dexuan Xu, Weihua Yue, Huamin Zhang, Meikang Qiu, Yu Huang

CoRR, October, 2025

TCDiff: Triplex Cascaded Diffusion for High-fidelity Multimodal EHRs Generation with Incomplete Clinical Data.

Yandong Yan, Chenxi Li, Yu Huang, Dexuan Xu, Jiaqi Zhu, Zhongyan Chai, Huamin Zhang

CoRR, August, 2025

DatawiseAgent: A Notebook-Centric LLM Agent Framework for Automated Data Science.

Ziming You, Yumiao Zhang, Dexuan Xu, Yiwei Lou, Yandong Yan, Wei Wang, Huaming Zhang, Yu Huang

CoRR, March, 2025

Semi-supervised medical image classification via Cross-Training and Dual-Teacher fusion model.

Yanyuan Chen, Dexuan Xu, Yiwei Lou, Hang Li, Weiping Ding, Yu Huang

Inf. Fusion, 2025

Medical Vision-Language Pre-training with Multimodal Variational Masked Autoencoder for Robust Medical VQA.

Dexuan Xu, Yanyuan Chen, Yu Huang, Shihao E, Yiwei Lou, Yongzhi Cao, Hanpin Wang, Meikang Qiu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Uncertainty-aware Masked Modeling in Medical Imaging.

Jiayu Zhang, Yuxin Cao, Dexuan Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

DatawiseAgent: A Notebook-Centric LLM Agent Framework for Adaptive and Robust Data Science Automation.

Ziming You, Yumiao Zhang, Dexuan Xu, Yiwei Lou, Yandong Yan, Wei Wang, Huamin Zhang, Yu Huang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

MIMO: A Medical Vision Language Model with Visual Referring Multimodal Input and Pixel Grounding Multimodal Output.

Yanyuan Chen, Dexuan Xu, Yu Huang, Songkun Zhan, Hanpin Wang, Dongxue Chen, Xueping Wang, Meikang Qiu, Hang Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling.

Jieyi Wang, Yue Huang, Zeming Liu, Dexuan Xu, Chuan Wang, Xiaoming Shi, Ruiyuan Guan, Hongxing Wang, Weihua Yue, Yu Huang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Graph Structure Enhanced Pre-Training Language Model for Knowledge Graph Completion.

Huashi Zhu, Dexuan Xu, Yu Huang, Zhi Jin, Weiping Ding, Jiahui Tong, Guoshuang Chong

IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

Decouple and Decorrelate: A Disentanglement Security Framework Combining Sample Weighting for Cross-Institution Biased Disease Diagnosis.

Jiayu Zhang, Hang Li, Dexuan Xu, Yiwei Lou, Menglong Ran, Zhi Jin, Yu Huang

IEEE Internet Things J., 2024

No-Reference MRI Quality Assessment via Contrastive Representation: Spatial and Frequency Domain Perspectives.

Yiwei Lou, Jiayu Zhang, Dexuan Xu, Yongzhi Cao, Hanpin Wang, Yu Huang

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.

Jiayu Zhang, Dexuan Xu, Yiwei Lou, Yu Huang

Proceedings of the IEEE International Conference on Acoustics, 2024

Curriculum Learning for Self-Iterative Semi-Supervised Medical Image Segmentation.

Jiayu Zhang, Dexuan Xu, Yanyuan Chen, Yiwei Lou, Yue Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

MR Image Quality Assessment via Enhanced Mamba: A Hybrid Spatial-Frequency Approach.

Yiwei Lou, Dexuan Xu, Rongchao Zhang, Jiayu Zhang, Yongzhi Cao, Hanpin Wang, Yu Huang

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.

Dexuan Xu, Yanyuan Chen, Jieyi Wang, Yue Huang, Hanpin Wang, Zhi Jin, Hongxing Wang, Weihua Yue, Jing He, Hang Li, Yu Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis.

Rongchao Zhang, Yiwei Lou, Dexuan Xu, Yongzhi Cao, Hanpin Wang, Yu Huang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Vision-knowledge fusion model for multi-domain medical report generation.

Dexuan Xu, Huashi Zhu, Yu Huang, Zhi Jin, Weiping Ding, Hang Li, Menglong Ran

Inf. Fusion, September, 2023

Refining the Unseen: Self-supervised Two-stream Feature Extraction for Image Quality Assessment.

Yiwei Lou, Yanyuan Chen, Dexuan Xu, Doudou Zhou, Yongzhi Cao, Hanpin Wang, Yu Huang

Proceedings of the IEEE International Conference on Data Mining, 2023

Radiology Report Generation via Structured Knowledge-Enhanced Multi-modal Attention and Contrastive Learning.

Dexuan Xu, Yanyuan Chen, Jiayu Zhang, Yiwei Lou, Hanpin Wang, Jing He, Yu Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023