Yilin Dong

Orcid: 0000-0002-4441-3355

According to our database1, Yilin Dong authored at least 28 papers between 2014 and 2025.

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Bibliography

2025
Evidence combination with multi-granularity belief structure for pattern classification.
Inf. Sci., 2025

MCNN-CMCA: A multiscale convolutional neural networks with cross-modal channel attention for physiological signal-based mental state recognition.
Digit. Signal Process., 2025

E-FNet: A EEG-fNIRS dual-stream model for Brain-Computer Interfaces.
Biomed. Signal Process. Control., 2025

2024
Graph-Structure-Based Multigranular Belief Fusion for Human Activity Recognition.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Ensemble based fully convolutional transformer network for time series classification.
Appl. Intell., October, 2024

A novel multi-criteria conflict evidence combination method and its application to pattern recognition.
Inf. Fusion, 2024

Advancing classroom fatigue recognition: A multimodal fusion approach using self-attention mechanism.
Biomed. Signal Process. Control., 2024

MB2C: Multimodal Bidirectional Cycle Consistency for Learning Robust Visual Neural Representations.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Cross-Domain Human Activity Recognition via Transfer Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Within- cross- consensus-view representation-based multi-view multi-label learning with incomplete data.
Neurocomputing, November, 2023

E-FPN: Evidential Feature Pyramid Network for Ship Classification.
Remote. Sens., August, 2023

A simple multiple-fold correlation-based multi-view multi-label learning.
Neural Comput. Appl., May, 2023

Multisource Weighted Domain Adaptation With Evidential Reasoning for Activity Recognition.
IEEE Trans. Ind. Informatics, April, 2023

Weighted Fusion of Multiple Classifiers for Human Activity Recognition.
Proceedings of the 26th International Conference on Information Fusion, 2023

Evidential Reasoning with Hesitant Fuzzy Linguistic Belief Structures.
Proceedings of the 26th International Conference on Information Fusion, 2023

2022
Genetic Algorithm Based on a New Similarity for Probabilistic Transformation of Belief Functions.
Entropy, November, 2022

Weak-label-based global and local multi-view multi-label learning with three-way clustering.
Int. J. Mach. Learn. Cybern., 2022

The Effectiveness of Self-Directed Learning in Developing Computational Thinking of Middle School Students.
Proceedings of the 14th International Conference on Education Technology and Computers, 2022

2021
Evidential Reasoning With Hesitant Fuzzy Belief Structures for Human Activity Recognition.
IEEE Trans. Fuzzy Syst., 2021

2020
Dezert-Smarandache Theory-Based Fusion for Human Activity Recognition in Body Sensor Networks.
IEEE Trans. Ind. Informatics, 2020

Smart Health Analysis on Factors Influencing Physical Health Based on the Self-Organizing Map Network.
J. Medical Imaging Health Informatics, 2020

2018
Combination of Sources of Evidence with Distinct Frames of Discernment.
Proceedings of the 21st International Conference on Information Fusion, 2018

Rough Set Classifier Based on DSmT.
Proceedings of the 21st International Conference on Information Fusion, 2018

2017
A method of Aircraft target Recognition based on LLE and HMM.
Int. J. Robotics Autom., 2017

A new probabilistic transformation based on evolutionary algorithm for decision making.
Proceedings of the 20th International Conference on Information Fusion, 2017

A hierarchical flexible coarsening method to combine BBAs in probabilities.
Proceedings of the 20th International Conference on Information Fusion, 2017

2014
Neural networks and AdaBoost algorithm based ensemble models for enhanced forecasting of nonlinear time series.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An improved boosting scheme based ensemble of Fuzzy Neural Networks for nonlinear time series prediction.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014


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