OHCA-GCN: A novel graph convolutional network-based fault diagnosis method for complex systems via supervised graph construction and optimization. - Jiamin Xu; Haobin Ke; Zhaohui Jiang 001; Siwen Mo; Zhiwen Chen 001; Wei-Hua Gui 001 (Adv. Eng. Informatics, 2024)

Canonical Correlation Guided Deep Neural Network. - Zhiwen Chen 001; Siwen Mo; Haobin Ke; Steven X. Ding; Zhaohui Jiang 001; Chunhua Yang 001; Weihua Gui 001 (CoRR, 2024)

A novel positive-negative graph convolutional network-based fault diagnosis method with application to complex systems. - Jiamin Xu; Siwen Mo; Zhaohui Jiang 001; Zhiwen Chen 001; Weihua Gui 001; Hongwei Wang (Neurocomputing, 2024)

A novel two-stage variables contribution analysis method toward explainable graph convolutional network-based industrial fault diagnosis. - Jiamin Xu; Siwen Mo; Zhiwen Chen 001; Haobin Ke; Zhaohui Jiang 001 (Eng. Appl. Artif. Intell., 2025)

Semi-supervised ISA: A novel industrial knowledge graph construction method enhanced by the fault log corpus analysis and semi-supervised learning. - Jiamin Xu; Siwen Mo; Zixuan Xu; Zhiwen Chen 001; Chao Yang; Zhaohui Jiang 001 (Reliab. Eng. Syst. Saf., 2025)