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Journal Articles
- 2025
[j15]Binlong Yu
, Lei Cao, Jie Jia, Chunjiang Fan, Yilin Dong, Changming Zhu:
E-FNet: A EEG-fNIRS dual-stream model for Brain-Computer Interfaces. Biomed. Signal Process. Control. 100: 106943 (2025)- 2024
- [j14]Yilin Dong, Yuzhuo Xu, Rigui Zhou, Changming Zhu, Jin Liu, Jiamin Song, Xinliang Wu:
Ensemble based fully convolutional transformer network for time series classification. Appl. Intell. 54(19): 8800-8819 (2024) - [j13]Lei Cao, Wenrong Wang, Yilin Dong, Chunjiang Fan:
Advancing classroom fatigue recognition: A multimodal fusion approach using self-attention mechanism. Biomed. Signal Process. Control. 89: 105756 (2024) - [j12]Yilin Dong, Ningning Jiang, Rigui Zhou, Changming Zhu, Lei Cao, Tianyu Liu, Yuzhuo Xu, Xinde Li:
A novel multi-criteria conflict evidence combination method and its application to pattern recognition. Inf. Fusion 108: 102346 (2024) - [j11]Yilin Dong, Xinde Li, Jean Dezert, Rigui Zhou, Kezhu Zuo, Shuzhi Sam Ge:
Graph-Structure-Based Multigranular Belief Fusion for Human Activity Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13589-13603 (2024) - 2023
- [j10]Changming Zhu, Yanchen Liu, Duoqian Miao, Yilin Dong, Witold Pedrycz:
Within- cross- consensus-view representation-based multi-view multi-label learning with incomplete data. Neurocomputing 557: 126729 (2023) - [j9]Changming Zhu, Jiyun Zhao, Shizhe Hu, Yilin Dong, Lei Cao, Fan Zhou, Yuhu Shi, Lai Wei, Rigui Zhou:
A simple multiple-fold correlation-based multi-view multi-label learning. Neural Comput. Appl. 35(14): 10407-10420 (2023) - [j8]Yilin Dong, Kunhai Xu, Changming Zhu, Enguang Guan, Yihai Liu:
E-FPN: Evidential Feature Pyramid Network for Ship Classification. Remote. Sens. 15(15): 3916 (2023) - [j7]Yilin Dong, Xinde Li, Jean Dezert, Rigui Zhou, Changming Zhu, Lei Cao, Mohammad Omar Khyam, Shuzhi Sam Ge:
Multisource Weighted Domain Adaptation With Evidential Reasoning for Activity Recognition. IEEE Trans. Ind. Informatics 19(4): 5530-5542 (2023) - 2022
- [j6]Yilin Dong, Lei Cao, Kezhu Zuo:
Genetic Algorithm Based on a New Similarity for Probabilistic Transformation of Belief Functions. Entropy 24(11): 1680 (2022) - [j5]Changming Zhu, Dujuan Cao, Shuaiping Guo, Rigui Zhou, Lai Wei, Yilin Dong, Duoqian Miao:
Weak-label-based global and local multi-view multi-label learning with three-way clustering. Int. J. Mach. Learn. Cybern. 13(5): 1337-1354 (2022) - 2021
- [j4]Yilin Dong, Xinde Li, Jean Dezert, Rigui Zhou, Changming Zhu, Lai Wei, Shuzhi Sam Ge:
Evidential Reasoning With Hesitant Fuzzy Belief Structures for Human Activity Recognition. IEEE Trans. Fuzzy Syst. 29(12): 3607-3619 (2021) - 2020
- [j3]Ye Yang, Zhijing Ye, Yilin Dong:
Smart Health Analysis on Factors Influencing Physical Health Based on the Self-Organizing Map Network. J. Medical Imaging Health Informatics 10(1): 54-59 (2020) - [j2]Yilin Dong, Xinde Li, Jean Dezert, Mohammad Omar Khyam, Md. Noor-A-Rahim, Shuzhi Sam Ge:
Dezert-Smarandache Theory-Based Fusion for Human Activity Recognition in Body Sensor Networks. IEEE Trans. Ind. Informatics 16(11): 7138-7149 (2020) - 2017
- [j1]Xinde Li, Yilin Dong, Chaomin Luo, Yingzi Tan:
A method of Aircraft target Recognition based on LLE and HMM. Int. J. Robotics Autom. 32(2) (2017)
Conference and Workshop Papers
- 2024
- [c11]Yong Zhou, Yilin Dong:
Cross-Domain Human Activity Recognition via Transfer Learning. IJCNN 2024: 1-8 - [c10]Yayun Wei, Lei Cao, Hao Li, Yilin Dong:
MB2C: Multimodal Bidirectional Cycle Consistency for Learning Robust Visual Neural Representations. ACM Multimedia 2024: 8992-9000 - 2023
- [c9]Yilin Dong, Kunhai Xu, Yuzhuo Xu:
Evidential Reasoning with Hesitant Fuzzy Linguistic Belief Structures. FUSION 2023: 1-7 - [c8]Kezhu Zuo, Xinde Li, Jean Dezert, Yilin Dong:
Weighted Fusion of Multiple Classifiers for Human Activity Recognition. FUSION 2023: 1-8 - 2022
- [c7]Qian Zhou, Xiande Luo, Yilin Dong, Faiza Khalid, Hongliang Ma:
The Effectiveness of Self-Directed Learning in Developing Computational Thinking of Middle School Students. ICETC 2022: 403-406 - 2018
- [c6]Yilin Dong, Xinde Li, Jean Dezert:
Rough Set Classifier Based on DSmT. FUSION 2018: 2497-2504 - [c5]Yilin Dong, Xinde Li, Jean Dezert:
Combination of Sources of Evidence with Distinct Frames of Discernment. FUSION 2018: 2513-2520 - 2017
- [c4]Yilin Dong, Xinde Li, Jean Dezert:
A hierarchical flexible coarsening method to combine BBAs in probabilities. FUSION 2017: 1-8 - [c3]Yilin Dong, Xinde Li, Jean Dezert:
A new probabilistic transformation based on evolutionary algorithm for decision making. FUSION 2017: 1-8 - 2014
- [c2]Yilin Dong, Jianhua Zhang, Jonathan M. Garibaldi:
Neural networks and AdaBoost algorithm based ensemble models for enhanced forecasting of nonlinear time series. IJCNN 2014: 149-156 - [c1]Yilin Dong, Jianhua Zhang:
An improved boosting scheme based ensemble of Fuzzy Neural Networks for nonlinear time series prediction. IJCNN 2014: 157-164
Coauthor Index
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