Fengtao Nan

According to our database, Fengtao Nan authored at least 17 papers between 2019 and 2025.

Collaborative distances:

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

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, Fengtao Nan, Yingchun Fan

CoRR, June, 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

IEEE Trans. Syst. Man Cybern. Syst., May, 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, Fengtao Nan, Zhong Zhao, Yun Yang, Po Yang

IEEE Trans. Biomed. Eng., April, 2025

Joint image synthesis and fusion with converted features for Alzheimer's disease diagnosis.

Zhaodong Chen, Mingxia Wang, Fengtao Nan, Yun Yang, Shunbao Li, Menghui Zhou, Jun Qi, Hanwen Wang, Po Yang

Eng. Appl. Artif. Intell., 2025

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., October, 2024

Alzheimer's Disease Diagnosis via Specific-Shared Representation Learning in Multimodal Neuroimaging.

Mingxia Wang, Yun Yang, Jun Qi, Fengtao Nan, Shunbao Li, Po Yang

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

Quantifying and Removing Free-living Uncertainty for Effective Parkinson's Disease Diagnosis Using Smart Watch.

Jiayi Pan, Fengtao Nan

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

2023

Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application.

Shuhao Zhang, Gaoshan Bi, Jun Qi, Yun Yang, Xiangzeng Kong, Fengtao Nan, Menghui Zhou, Po Yang

IEEE Internet Things J., 2023

Effective Severity Assessment of Parkinson's Disease with Wearable Intelligence using Free-living Environment Data.

Liu Tao, Xulong Wang, Fengtao Nan, Jun Qi, Yun Yang, Po Yang

Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise.

Zheyuan Xu, Fengtao Nan, Jun Qi, Yun Yang, Xulong Wang, Po Yang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions.

Fei Du, Peng Yang, Qi Jia, Fengtao Nan, Xiaoting Chen, Yun Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Analysing and Evaluating Complementarity of Multi-Modal Data Fusion in AD Diagnosis.

Zhaodong Chen, Fengtao Nan, Yun Yang, Jiayu Wang, Po Yang

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Analytic Correlation Penalty with Variable Window in Multi-task Learning Disease Progression Model.

Xiangchao Chang, Menghui Zhou, Fengtao Nan, Yun Yang, Po Yang

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

2021

Effective multilayer hybrid classification approach for automatic bridge health assessment on large-scale uncertain data.

Yun Yang, Fengtao Nan, Po Yang

J. Ind. Inf. Integr., 2021

A novel sub-Kmeans based on co-training approach by transforming single-view into multi-view.

Fengtao Nan, Yahui Tang, Po Yang, Zhenli He, Yun Yang

Future Gener. Comput. Syst., 2021

Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning.

Menghui Zhou, Xulong Wang, Yun Yang, Fengtao Nan, Yu Zhang, Jun Qi, Po Yang

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

2019

GAN-Based Semi-Supervised Learning Approach for Clinical Decision Support in Health-IoT Platform.

Yun Yang, Fengtao Nan, Po Yang, Qiang Meng, Yingfu Xie, Dehai Zhang, Khan Muhammad

IEEE Access, 2019