A New Failure Mode and Effects Analysis Method Based on Dempster-Shafer Theory by Integrating Evidential Network. - Hongfei Wang; Xinyang Deng; Zhuo Zhang 005; Wen Jiang 002 (IEEE Access, 2019)

Fault Diagnosis Based on Non-Negative Sparse Constrained Deep Neural Networks and Dempster-Shafer Theory. - Zhuo Zhang 005; Wen Jiang 002; Jie Geng; Xinyang Deng; Xiang Li 018 (IEEE Access, 2020)

An information fusion method based on deep learning and fuzzy discount-weighting for target intention recognition. - Zhuo Zhang 005; Hongfei Wang; Jie Geng; Wen Jiang 002; Xinyang Deng; Wang Miao (Eng. Appl. Artif. Intell., 2022)

Comprehensive Dynamic Structure Graph Neural Network for Aero-Engine Remaining Useful Life Prediction. - Hongfei Wang; Zhuo Zhang 005; Xiang Li 018; Xinyang Deng; Wen Jiang 002 (IEEE Trans. Instrum. Meas., 2023)

A New Correlation Measure for Belief Functions and Their Application in Data Fusion. - Zhuo Zhang 005; Hongfei Wang; Jianting Zhang; Wen Jiang 002 (Entropy, 2023)

A New Data Augmentation Method Based on Mixup and Dempster-Shafer Theory. - Zhuo Zhang 005; Hongfei Wang; Jie Geng; Xinyang Deng; Wen Jiang 002 (IEEE Trans. Multim., 2024)

A target intention recognition method based on information classification processing and information fusion. - Zhuo Zhang 005; Hongfei Wang; Wen Jiang 002; Jie Geng (Eng. Appl. Artif. Intell., 2024)

A deep learning based health index construction method with contrastive learning. - Hongfei Wang; Xiang Li 018; Zhuo Zhang 005; Xinyang Deng; Wen Jiang 002 (Reliab. Eng. Syst. Saf., 2024)