Haobin Ke

According to our database, Haobin Ke authored at least 8 papers between 2021 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

Adversarial Signed Graph Learning with Differential Privacy.

Haobin Ke, Sen Zhang, Qingqing Ye, Xun Ran, Haibo Hu

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

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

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

2023

Multichannel Domain Adaptation Graph Convolutional Networks-Based Fault Diagnosis Method and With Its Application.

Zhiwen Chen, Haobin Ke, Jiamin Xu, Tao Peng, Chunhua Yang

IEEE Trans. Ind. Informatics, June, 2023

Oversmoothing Relief Graph Convolutional Network-Based Fault Diagnosis Method With Application to the Rectifier of High-Speed Trains.

Jiamin Xu, Haobin Ke, Zhiwen Chen, Xinyu Fan, Tao Peng, Chunhua Yang

IEEE Trans. Ind. Informatics, 2023

2021

Graph convolution network-based fault diagnosis method for the rectifier of the high-speed train.

Zhiwen Chen, Jiamin Xu, Haobin Ke, Xinyu Fan, Tao Peng

Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021