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2020 – today
- 2024
[j5]Qiuning Zhu
, Hongqi Liu, Chenyu Bao, Jiaming Zhu, Xinyong Mao, Songping He, Fangyu Peng:
Decoupled interpretable robust domain generalization networks: A fault diagnosis approach across bearings, working conditions, and artificial-to-real scenarios. Adv. Eng. Informatics 61: 102445 (2024)- 2023
- [j4]Chaochao Qiu, Kai Li, Xinzhao Zhou, Songping He, Bin Li:
A novel method for signal labeling and precise location in a variable parameter milling process based on the stacked-BiLSTM-CRF and FLOSS. Adv. Eng. Informatics 55: 101850 (2023) - [j3]Caihua Hao, Xinyong Mao, Tao Ma, Songping He, Bin Li, Hongqi Liu, Fangyu Peng, Lei Zhang:
A novel deep learning method with partly explainable: Intelligent milling tool wear prediction model based on transformer informed physics. Adv. Eng. Informatics 57: 102106 (2023) - [c1]Lu Zhang, Songping He, Tao Ma, Lei Zhang:
Dynamics Knowledge Graph-Based Digital Thread for Machine Tool Dynamics Digital Twin. RICAI 2023: 810-814 - 2022
- [j2]Shuanlong Niu, Bin Li, Xinggang Wang, Songping He, Yaru Peng:
Defect attention template generation cycleGAN for weakly supervised surface defect segmentation. Pattern Recognit. 123: 108396 (2022) - 2020
- [j1]Chengming Shi, Bo Luo, Songping He, Kai Li, Hongqi Liu, Bin Li:
Tool Wear Prediction via Multidimensional Stacked Sparse Autoencoders With Feature Fusion. IEEE Trans. Ind. Informatics 16(8): 5150-5159 (2020)
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