GAN-Based Semi-Supervised Learning Approach for Clinical Decision Support in Health-IoT Platform. - Yun Yang 003; Fengtao Nan; Po Yang 001; Qiang Meng; Yingfu Xie; Dehai Zhang; Khan Muhammad 001 (IEEE Access, 2019)

Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning. - Menghui Zhou; Xulong Wang 001; Yun Yang 003; Fengtao Nan; Yu Zhang 128; Jun Qi 001; Po Yang 001 (MSN, 2021)

A novel sub-Kmeans based on co-training approach by transforming single-view into multi-view. - Fengtao Nan; Yahui Tang; Po Yang 001; Zhenli He; Yun Yang 003 (Future Gener. Comput. Syst., 2021)

Effective multilayer hybrid classification approach for automatic bridge health assessment on large-scale uncertain data. - Yun Yang 003; Fengtao Nan; Po Yang 001 (J. Ind. Inf. Integr., 2021)

Analytic Correlation Penalty with Variable Window in Multi-task Learning Disease Progression Model. - Xiangchao Chang; Menghui Zhou; Fengtao Nan; Yun Yang 003; Po Yang 001 (MSN, 2022)

Analysing and Evaluating Complementarity of Multi-Modal Data Fusion in AD Diagnosis. - Zhaodong Chen; Fengtao Nan; Yun Yang 003; Jiayu Wang; Po Yang 001 (MSN, 2022)

Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions. - Fei Du; Peng Yang; Qi Jia; Fengtao Nan; Xiaoting Chen; Yun Yang 003 (CVPR, 2023)

Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise. - Zheyuan Xu; Fengtao Nan; Jun Qi 001; Yun Yang 003; Xulong Wang 001; Po Yang 001 (ICPADS, 2023)

Effective Severity Assessment of Parkinson's Disease with Wearable Intelligence using Free-living Environment Data. - Liu Tao; Xulong Wang 001; Fengtao Nan; Jun Qi 001; Yun Yang 003; Po Yang 001 (ISIE, 2023)

Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application. - Shuhao Zhang 007; Gaoshan Bi; Jun Qi 001; Yun Yang 003; Xiangzeng Kong; Fengtao Nan; Menghui Zhou; Po Yang 001 (IEEE Internet Things J., 2023)

Quantifying and Removing Free-living Uncertainty for Effective Parkinson's Disease Diagnosis Using Smart Watch. - Jiayi Pan; Fengtao Nan (BIBM, 2024)

Alzheimer's Disease Diagnosis via Specific-Shared Representation Learning in Multimodal Neuroimaging. - Mingxia Wang; Yun Yang 003; Jun Qi 001; Fengtao Nan; Shunbao Li; Po Yang 001 (ICIC (LNBI 1), 2024)

MFISN: Modality Fuzzy Information Separation Network for Disease Classification. - Fengtao Nan; Bin Pu; Jiayi Pan; Yingchun Fan; Jiewen Yang; Xingbo Dong; Zhaozhao Xu; Shuihua Wang (IEEE Trans. Fuzzy Syst., 2024)

Joint image synthesis and fusion with converted features for Alzheimer's disease diagnosis. - Zhaodong Chen; Mingxia Wang; Fengtao Nan; Yun Yang 003; Shunbao Li; Menghui Zhou; Jun Qi 001; Hanwen Wang; Po Yang 001 (Eng. Appl. Artif. Intell., 2025)

Multi-Scale and Multi-Level Feature Assessment Framework for Classification of Parkinson's Disease State From Short-Term Motor Tasks. - Xiyang Peng; Yuting Zhao; Ziheng Li; Xulong Wang 001; Fengtao Nan; Zhong Zhao; Yun Yang 003; Po Yang 001 (IEEE Trans. Biomed. Eng., 2025)

Intelligent Inspection of Electronic Devices in Specific Environments via a Novel Cascade Network of Combining Mixed Sampling and Nonstrided Convolution. - Bo Liu; Jing Guo; Yaowei Wang; Chengrong Yang; Fengtao Nan; Yun Yang 003 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

GeneA-SLAM2: Dynamic SLAM with AutoEncoder-Preprocessed Genetic Keypoints Resampling and Depth Variance-Guided Dynamic Region Removal. - Shufan Qing; Anzhen Li; Qiandi Wang; Yuefeng Niu; Mingchen Feng; Guoliang Hu; Jin-Qiao Wu 001; Fengtao Nan; Yingchun Fan (CoRR, 2025)