An improved boosting scheme based ensemble of Fuzzy Neural Networks for nonlinear time series prediction. - Yilin Dong; Jianhua Zhang 004 (IJCNN, 2014)

Neural networks and AdaBoost algorithm based ensemble models for enhanced forecasting of nonlinear time series. - Yilin Dong; Jianhua Zhang 004; Jonathan M. Garibaldi (IJCNN, 2014)

A hierarchical flexible coarsening method to combine BBAs in probabilities. - Yilin Dong; Xinde Li; Jean Dezert (FUSION, 2017)

A new probabilistic transformation based on evolutionary algorithm for decision making. - Yilin Dong; Xinde Li; Jean Dezert (FUSION, 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)

Rough Set Classifier Based on DSmT. - Yilin Dong; Xinde Li; Jean Dezert (FUSION, 2018)

Combination of Sources of Evidence with Distinct Frames of Discernment. - Yilin Dong; Xinde Li; Jean Dezert (FUSION, 2018)

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)

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)

Evidential Reasoning With Hesitant Fuzzy Belief Structures for Human Activity Recognition. - Yilin Dong; Xinde Li; Jean Dezert; Rigui Zhou; Changming Zhu; Lai Wei 001; Shuzhi Sam Ge (IEEE Trans. Fuzzy Syst., 2021)

The Effectiveness of Self-Directed Learning in Developing Computational Thinking of Middle School Students. - Qian Zhou; Xiande Luo; Yilin Dong; Faiza Khalid; Hongliang Ma (ICETC, 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 001; Yilin Dong; Duoqian Miao 001 (Int. J. Mach. Learn. Cybern., 2022)

Genetic Algorithm Based on a New Similarity for Probabilistic Transformation of Belief Functions. - Yilin Dong; Lei Cao 002; Kezhu Zuo (Entropy, 2022)

Evidential Reasoning with Hesitant Fuzzy Linguistic Belief Structures. - Yilin Dong; Kunhai Xu; Yuzhuo Xu (FUSION, 2023)

Weighted Fusion of Multiple Classifiers for Human Activity Recognition. - Kezhu Zuo; Xinde Li; Jean Dezert; Yilin Dong (FUSION, 2023)

Multisource Weighted Domain Adaptation With Evidential Reasoning for Activity Recognition. - Yilin Dong; Xinde Li; Jean Dezert; Rigui Zhou; Changming Zhu; Lei Cao 002; Mohammad Omar Khyam; Shuzhi Sam Ge (IEEE Trans. Ind. Informatics, 2023)

A simple multiple-fold correlation-based multi-view multi-label learning. - Changming Zhu; Jiyun Zhao; Shizhe Hu; Yilin Dong; Lei Cao 002; Fan Zhou; Yuhu Shi; Lai Wei 001; Rigui Zhou (Neural Comput. Appl., 2023)

E-FPN: Evidential Feature Pyramid Network for Ship Classification. - Yilin Dong; Kunhai Xu; Changming Zhu; Enguang Guan; Yihai Liu (Remote. Sens., 2023)

Within- cross- consensus-view representation-based multi-view multi-label learning with incomplete data. - Changming Zhu; Yanchen Liu; Duoqian Miao 001; Yilin Dong; Witold Pedrycz (Neurocomputing, 2023)

Cross-Domain Human Activity Recognition via Transfer Learning. - Yong Zhou; Yilin Dong (IJCNN, 2024)

A Selective Ensemble Learning Method for Time Series Forecasting. - Yuxin Wang; Yilin Dong (MLNLP, 2024)

Informer_Casual_LSTM: Causal Characteristics and Non-Stationary Time Series Prediction. - Yuxia Yang; Yilin Dong (MLNLP, 2024)

MB2C: Multimodal Bidirectional Cycle Consistency for Learning Robust Visual Neural Representations. - Yayun Wei; Lei Cao 002; Hao Li; Yilin Dong (ACM Multimedia, 2024)

Advancing classroom fatigue recognition: A multimodal fusion approach using self-attention mechanism. - Lei Cao 002; Wenrong Wang; Yilin Dong; Chunjiang Fan (Biomed. Signal Process. Control., 2024)

A novel multi-criteria conflict evidence combination method and its application to pattern recognition. - Yilin Dong; Ningning Jiang; Rigui Zhou; Changming Zhu; Lei Cao 002; Tianyu Liu; Yuzhuo Xu; Xinde Li (Inf. Fusion, 2024)

Ensemble based fully convolutional transformer network for time series classification. - Yilin Dong; Yuzhuo Xu; Rigui Zhou; Changming Zhu; Jin Liu 009; Jiamin Song; Xinliang Wu (Appl. Intell., 2024)

Graph-Structure-Based Multigranular Belief Fusion for Human Activity Recognition. - Yilin Dong; Xinde Li; Jean Dezert; Rigui Zhou; Kezhu Zuo; Shuzhi Sam Ge (IEEE Trans. Neural Networks Learn. Syst., 2024)

E-FNet: A EEG-fNIRS dual-stream model for Brain-Computer Interfaces. - Binlong Yu; Lei Cao 002; Jie Jia; Chunjiang Fan; Yilin Dong; Changming Zhu (Biomed. Signal Process. Control., 2025)

MCNN-CMCA: A multiscale convolutional neural networks with cross-modal channel attention for physiological signal-based mental state recognition. - Yayun Wei; Lei Cao 002; Yilin Dong; Tianyu Liu (Digit. Signal Process., 2025)

Attention-based credible evidential segmentation network for remote sensing ship segmentation. - Sicong Qu; Yilin Dong; Changming Zhu; Lei Cao 002; Kezhu Zuo (Int. J. Approx. Reason., 2025)

Evidence combination with multi-granularity belief structure for pattern classification. - Kezhu Zuo; Xinde Li; Le Yu; Tao Shen 004; Yilin Dong; Jean Dezert (Inf. Sci., 2025)

IncepFormerNet: A multi-scale multi-head attention network for SSVEP classification. - Yan Huang; Yongru Chen; Lei Cao; Yongnian Cao; Xuechun Yang; Yilin Dong; Tianyu Liu (CoRR, 2025)

Multiple Self-Adaptive Correlation-Based Multiview Multilabel Learning. - Changming Zhu; Yimin Yan; Duoqian Miao 001; Yilin Dong; Witold Pedrycz (IEEE Trans. Cybern., 2025)

Multiview Uncertainty-Aware Fusion for Human Activity Recognition via Dempster-Shafer Theory. - Yilin Dong; Zhili Shi; Xinde Li; Rigui Zhou; Shuzhi Sam Ge (IEEE Trans. Ind. Informatics, 2025)

Quantum Conflict Measurement in Decision Making for Out-of-Distribution Detection. - Yilin Dong; Tianyun Zhu; Xinde Li; Jean Dezert; Rigui Zhou; Changming Zhu; Lei Cao 002; Shuzhi Sam Ge (CoRR, 2025)

Cross-Domain Human Activity Recognition via Domain Adaptation and Fused Attention. - Tianyun Zhu; Yilin Dong; Yong Zhou; Changming Zhu; Lei Cao 002 (IEEE J. Biomed. Health Informatics, 2025)