Civil Aviation Safety Risk Assessment for Rare Events. - Xiaojing Yan; Huawei Wang 002; Qiang Fu; Jianhua Zhao (ISKE, 2019)

Gas Path Fault Diagnosis of Aeroengine Based on Soft Square Pinball Loss ELM. - Yuyuan Cao; Bowen Zhang; Huawei Wang 002; Yu Bai 013 (IEEE Access, 2020)

Domain adaptive deep belief network for rolling bearing fault diagnosis. - Changchang Che; Huawei Wang 002; Xiaomei Ni; Qiang Fu (Comput. Ind. Eng., 2020)

Aeroengine state prediction based on generative adversarial networks and deep learning. - Qiang Fu; Huawei Wang 002 (Int. J. Comput. Aided Eng. Technol., 2021)

Few-shot fault diagnosis of rolling bearing under variable working conditions based on ensemble meta-learning. - Changchang Che; Huawei Wang 002; Minglan Xiong; Xiaomei Ni (Digit. Signal Process., 2022)

Remaining useful life prediction in prognostics using multi-scale sequence and Long Short-Term Memory network⋆. - Ruiguan Lin; Yaowei Yu; Huawei Wang 002; Changchang Che; Xiaomei Ni (J. Comput. Sci., 2022)

Few-shot structural repair decision of civil aircraft based on deep meta-learning. - Changchang Che; Huawei Wang 002; Xiaomei Ni; Minglan Xiong (Eng. Appl. Artif. Intell., 2023)

Knowledge representation and reuse model of civil aircraft structural maintenance cases. - Ruiguan Lin; Huawei Wang 002; Junzhou Wang; Ningyue Wang (Expert Syst. Appl., 2023)

Attention-based Gate Recurrent Unit for remaining useful life prediction in prognostics. - Ruiguan Lin; Huawei Wang 002; Minglan Xiong; Zhaoguo Hou; Changchang Che (Appl. Soft Comput., 2023)

Enhancing aviation safety and mitigating accidents: A study on aviation safety hazard identification. - Minglan Xiong; Huawei Wang 002; Yiik Diew Wong; Zhaoguo Hou (Adv. Eng. Informatics, 2024)

A novel framework based on two-stage multi-view feature optimization and improved support vector data description for aeroengine bearing early fault detection. - Zhaoguo Hou; Huawei Wang 002; Yubin Yue; Minglan Xiong; Wenxuan Zhang (Reliab. Eng. Syst. Saf., 2024)

Application of text mining and coupling theory to depth cognition of aviation safety risk. - Minglan Xiong; Huawei Wang 002; Changchang Che; Mingwei Sun (Reliab. Eng. Syst. Saf., 2024)

An aviation accidents prediction method based on MTCNN and Bayesian optimization. - Minglan Xiong; Zhaoguo Hou; Huawei Wang 002; Changchang Che; Rui Luo (Knowl. Inf. Syst., 2024)

Towards trustworthy civil aviation hazards identification: An uncertainty-aware deep learning framework. - Zhaoguo Hou; Huawei Wang 002; Minglan Xiong; Changwei Zhou; Yubin Yue (Adv. Eng. Informatics, 2025)

A novel method for cause portrait of aviation unsafe events based on hierarchical multi-task convolutional neural network. - Zhaoguo Hou; Huawei Wang 002; Yubin Yue; Minglan Xiong; Changchang Che (Expert Syst. Appl., 2025)

Multi-level information identification for civil aviation safety risks: A hierarchical multi-branch deep learning approach. - Minglan Xiong; Huawei Wang 002; Zhaoguo Hou; Yiik Diew Wong (Inf. Sci., 2025)