Multimodal Deep Learning for Enhanced Arrhythmia Detection Using ECG Time Series and Image Data. - Yitao Xu; Jiahao Qin; Zihong Luo; Zhengxu Jing; Bihao You (CyberC, 2023)

Alternative Telescopic Displacement: An Efficient Multimodal Alignment Method. - Jiahao Qin; Yitao Xu; Zihong Luo; Chengzhi Liu; Zong Lu; Xiaojun Zhang (CoRR, 2023)

ARIF: An Adaptive Attention-Based Cross-Modal Representation Integration Framework. - Chengzhi Liu; Zihong Luo; Yifei Bi; Zile Huang; Dong Shu; Jiheng Hou; Hongchen Wang; Kaiyu Liang (ICANN (6), 2024)

MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network. - Chengzhi Liu; Zihong Luo; Zheng Tao; Chenghao Liu; Yitao Xu; Zile Huang (ICPR (14), 2024)

MC-DBN: A Deep Belief Network-Based Model for Modality Completion. - Zihong Luo; Chengzhi Liu; Zheng Tao; Kexin He; Yitao Xu (ICPR (7), 2024)

MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network. - Chengzhi Liu; Zheng Tao; Zihong Luo; Chenghao Liu (CoRR, 2024)

MC-DBN: A Deep Belief Network-Based Model for Modality Completion. - Zihong Luo; Zheng Tao; Yuxuan Huang; Kexin He; Chengzhi Liu (CoRR, 2024)

Interpretable machine learning models for detecting peripheral neuropathy and lower extremity arterial disease in diabetics: an analysis of critical shared and unique risk factors. - Ya Wu; Danmeng Dong; Lijie Zhu; Zihong Luo; Yang Liu; Xiaoyun Xie (BMC Medical Informatics Decis. Mak., 2024)

Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis. - Chengzhi Liu; Zile Huang; Zhe Chen; Feilong Tang; Yu Tian; Zhongxing Xu; Zihong Luo; Yalin Zheng; Yanda Meng (AAAI, 2025)

PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation. - Yiheng Zhong; Zihong Luo; Chengzhi Liu; Feilong Tang; Zelin Peng; Ming Hu; Yingzhen Hu; Jionglong Su; Zongyuan Ge; Imran Razzak (CoRR, 2025)