Siwen Mo

According to our database, Siwen Mo authored at least 6 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

CCDNN: A Novel Deep Learning Architecture for Multi-Source Data Fusion.

Zhiwen Chen, Siwen Mo, Haobin Ke, Steven X. Ding, Zhaohui Jiang, Chunhua Yang, Weihua Gui

IEEE CAA J. Autom. Sinica, March, 2026

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, Chao Yang, Zhaohui Jiang

Reliab. Eng. Syst. Saf., 2025

A novel two-stage variables contribution analysis method toward explainable graph convolutional network-based industrial fault diagnosis.

Jiamin Xu, Siwen Mo, Zhiwen Chen, Haobin Ke, Zhaohui Jiang

Eng. Appl. Artif. Intell., 2025

2024

A novel positive-negative graph convolutional network-based fault diagnosis method with application to complex systems.

Jiamin Xu, Siwen Mo, Zhaohui Jiang, Zhiwen Chen, Weihua Gui, Hongwei Wang

Neurocomputing, 2024

Canonical Correlation Guided Deep Neural Network.

Zhiwen Chen, Siwen Mo, Haobin Ke, Steven X. Ding, Zhaohui Jiang, Chunhua Yang, Weihua Gui

CoRR, 2024

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, Siwen Mo, Zhiwen Chen, Wei-Hua Gui

Adv. Eng. Informatics, 2024