Yilin Dong

According to our database, Yilin Dong authored at least 19 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Within- cross- consensus-view representation-based multi-view multi-label learning with incomplete data.

Changming Zhu, Yanchen Liu, Duoqian Miao, Yilin Dong, Witold Pedrycz

Neurocomputing, November, 2023

E-FPN: Evidential Feature Pyramid Network for Ship Classification.

Yilin Dong, Kunhai Xu, Changming Zhu, Enguang Guan, Yihai Liu

Remote. Sens., August, 2023

A simple multiple-fold correlation-based multi-view multi-label learning.

Changming Zhu, Jiyun Zhao, Shizhe Hu, Yilin Dong, Lei Cao, Fan Zhou, Yuhu Shi, Lai Wei, Rigui Zhou

Neural Comput. Appl., May, 2023

Multisource Weighted Domain Adaptation With Evidential Reasoning for Activity Recognition.

Yilin Dong, Xinde Li, Jean Dezert, Rigui Zhou, Changming Zhu, Lei Cao, Mohammad Omar Khyam, Shuzhi Sam Ge

IEEE Trans. Ind. Informatics, April, 2023

Weighted Fusion of Multiple Classifiers for Human Activity Recognition.

Kezhu Zuo, Xinde Li, Jean Dezert, Yilin Dong

Proceedings of the 26th International Conference on Information Fusion, 2023

Evidential Reasoning with Hesitant Fuzzy Linguistic Belief Structures.

Yilin Dong, Kunhai Xu, Yuzhuo Xu

Proceedings of the 26th International Conference on Information Fusion, 2023

2022

Genetic Algorithm Based on a New Similarity for Probabilistic Transformation of Belief Functions.

Yilin Dong, Lei Cao, Kezhu Zuo

Entropy, November, 2022

Weak-label-based global and local multi-view multi-label learning with three-way clustering.

Changming Zhu, Dujuan Cao, Shuaiping Guo, Rigui Zhou, Lai Wei, Yilin Dong, Duoqian Miao

Int. J. Mach. Learn. Cybern., 2022

The Effectiveness of Self-Directed Learning in Developing Computational Thinking of Middle School Students.

Qian Zhou, Xiande Luo, Yilin Dong, Faiza Khalid, Hongliang Ma

Proceedings of the 14th International Conference on Education Technology and Computers, 2022

2021

Evidential Reasoning With Hesitant Fuzzy Belief Structures for Human Activity Recognition.

Yilin Dong, Xinde Li, Jean Dezert, Rigui Zhou, Changming Zhu, Lai Wei, Shuzhi Sam Ge

IEEE Trans. Fuzzy Syst., 2021

2020

Dezert-Smarandache Theory-Based Fusion for Human Activity Recognition in Body Sensor Networks.

Yilin Dong, Xinde Li, Jean Dezert, Mohammad Omar Khyam, Md. Noor-A-Rahim, Shuzhi Sam Ge

IEEE Trans. Ind. Informatics, 2020

Smart Health Analysis on Factors Influencing Physical Health Based on the Self-Organizing Map Network.

Ye Yang, Zhijing Ye, Yilin Dong

J. Medical Imaging Health Informatics, 2020

2018

Combination of Sources of Evidence with Distinct Frames of Discernment.

Yilin Dong, Xinde Li, Jean Dezert

Proceedings of the 21st International Conference on Information Fusion, 2018

Rough Set Classifier Based on DSmT.

Yilin Dong, Xinde Li, Jean Dezert

Proceedings of the 21st International Conference on Information Fusion, 2018

2017

A method of Aircraft target Recognition based on LLE and HMM.

Xinde Li, Yilin Dong, Chaomin Luo, Yingzi Tan

Int. J. Robotics Autom., 2017

A new probabilistic transformation based on evolutionary algorithm for decision making.

Yilin Dong, Xinde Li, Jean Dezert

Proceedings of the 20th International Conference on Information Fusion, 2017

A hierarchical flexible coarsening method to combine BBAs in probabilities.

Yilin Dong, Xinde Li, Jean Dezert

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.

Yilin Dong, Jianhua Zhang, Jonathan M. Garibaldi

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.

Yilin Dong, Jianhua Zhang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014