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 004 (BIBM, 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 004 (ICDM, 2023)

Vision-knowledge fusion model for multi-domain medical report generation. - Dexuan Xu; Huashi Zhu; Yu Huang 004; Zhi Jin; Weiping Ding 001; Hang Li; Menglong Ran (Inf. Fusion, 2023)

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 004 (AAAI, 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 004 (ACL (Findings), 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 004 (BIBM, 2024)

Curriculum Learning for Self-Iterative Semi-Supervised Medical Image Segmentation. - Jiayu Zhang; Dexuan Xu; Yanyuan Chen; Yiwei Lou; Yue Huang (BIBM, 2024)

A Novel Multi-Atlas Fusion Model Based On Contrastive Learning For Functional Connectivity Graph Diagnosis. - Jiayu Zhang; Dexuan Xu; Yiwei Lou; Yu Huang 004 (ICASSP, 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 004 (ICME, 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 004 (IEEE Internet Things J., 2024)

Graph Structure Enhanced Pre-Training Language Model for Knowledge Graph Completion. - Huashi Zhu; Dexuan Xu; Yu Huang 004; Zhi Jin; Weiping Ding 001; Jiahui Tong; Guoshuang Chong (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling. - Jieyi Wang; Yue Huang; Zeming Liu; Dexuan Xu; Chuan Wang 002; Xiaoming Shi; Ruiyuan Guan; Hongxing Wang; Weihua Yue; Yu Huang 004 (AAAI, 2025)

MIMO: A Medical Vision Language Model with Visual Referring Multimodal Input and Pixel Grounding Multimodal Output. - Yanyuan Chen; Dexuan Xu; Yu Huang 004; Songkun Zhan; Hanpin Wang; Dongxue Chen; Xueping Wang; Meikang Qiu; Hang Li (CVPR, 2025)

Uncertainty-aware Masked Modeling in Medical Imaging. - Jiayu Zhang; Yuxin Cao; Dexuan Xu (ICASSP, 2025)

Semi-supervised medical image classification via Cross-Training and Dual-Teacher fusion model. - Yanyuan Chen; Dexuan Xu; Yiwei Lou; Hang Li; Weiping Ding 001; Yu Huang 004 (Inf. Fusion, 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 004 (CoRR, 2025)

TCDiff: Triplex Cascaded Diffusion for High-fidelity Multimodal EHRs Generation with Incomplete Clinical Data. - Yandong Yan; Chenxi Li; Yu Huang 004; Dexuan Xu; Jiaqi Zhu; Zhongyan Chai; Huamin Zhang (CoRR, 2025)

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 004 (CoRR, 2025)

Knowledge fusion in deep learning-based medical vision-language models: A review. - Dexuan Xu; Yanyuan Chen; Zhongyan Chai; Yifan Xiao; Yandong Yan; Weiping Ding 001; Hanpin Wang; Zhi Jin; Wenpin Jiao; Weihua Yue; Hang Li; Yu Huang 004 (Inf. Fusion, 2026)