Fengtao Nan

Orcid: 0000-0003-3415-3593

According to our database1, Fengtao Nan authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
MFISN: Modality Fuzzy Information Separation Network for Disease Classification.
IEEE Trans. Fuzzy Syst., October, 2024

Alzheimer's Disease Diagnosis via Specific-Shared Representation Learning in Multimodal Neuroimaging.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

2023
Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application.
IEEE Internet Things J., 2023

Effective Severity Assessment of Parkinson's Disease with Wearable Intelligence using Free-living Environment Data.
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.
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.
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.
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.
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.
J. Ind. Inf. Integr., 2021

A novel sub-Kmeans based on co-training approach by transforming single-view into multi-view.
Future Gener. Comput. Syst., 2021

Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning.
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.
IEEE Access, 2019


  Loading...