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Jianguang Lu
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2020 – today
- 2024
- [j12]Denggao Qin
, Xianghong Tang, Jianguang Lu:
Subgraph representation learning with self-attention and free adversarial training. Appl. Intell. 54(11-12): 7012-7029 (2024) - [j11]Denggao Qin
Subgraph autoencoder with bridge nodes. Expert Syst. Appl. 257: 125069 (2024) - [j10]Jiasheng Chen
Physics-Informed Neural Networks for Solving High-Index Differential-Algebraic Equation Systems Based on Radau Methods. Int. J. Intell. Syst. 2024: 1-12 (2024) - [j9]Jun Zhang, Jianguang Lu, Xianghong Tang:
Two-stage GNN-based fraud detection with camouflage identification and enhanced semantics aggregation. Neurocomputing 570: 127108 (2024) - [j8]Haoyu Gui
CATodyNet: Cross-attention temporal dynamic graph neural network for multivariate time series classification. Knowl. Based Syst. 300: 112210 (2024) - [j7]Yirong Li, Xianghong Tang, Jianguang Lu, Yong Huang:
Dual graph-structured semantics multi-subspace learning for cross-modal retrieval. Multim. Syst. 30(5): 294 (2024) - 2023
- [j6]Tao Wang, Xianghong Tang, Jianguang Lu, Fangjie Liu:
A novel spatio-temporal hybrid neural network for remaining useful life prediction. J. Supercomput. 79(17): 19095-19117 (2023) - [c1]Jianguang Lu
Research on Prediction Method of Auto Insurance Claim Amount Based on Graph Deep Learning. ICBAR 2023: 1-9 - [i1]Jiasheng Chen, Juan Tang, Ming Yan, Shuai Lai, Kun Liang, Jianguang Lu, Wenqiang Yang:
Physical Information Neural Networks for Solving High-index Differential-algebraic Equation Systems Based on Radau Methods. CoRR abs/2310.12846 (2023) - 2021
- [j5]Xianghong Tang, Xin Gu, Lei Rao, Jianguang Lu:
A single fault detection method of gearbox based on random forest hybrid classifier and improved Dempster-Shafer information fusion. Comput. Electr. Eng. 92: 107101 (2021) - 2020
- [j4]Xianghong Tang
A Bearing Fault Diagnosis Method Based on Feature Selection Feedback Network and Improved D-S Evidence Fusion. IEEE Access 8: 20523-20536 (2020)
2010 – 2019
- 2019
- [j3]Jianguang Lu
A Novel Method for Intelligent Single Fault Detection of Bearings Using SAE and Improved D-S Evidence Theory. Entropy 21(7): 687 (2019) - 2017
- [j2]Shaobo Li
An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis. Sensors 17(8): 1729 (2017) - 2016
- [j1]Hui Zhang, Jinzhao Wu, Jianguang Lu, Juan Tang:
Safety verification of finite real-time nonlinear hybrid systems using enhanced group preserving scheme. Clust. Comput. 19(4): 2189-2199 (2016)
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last updated on 2024-10-08 20:36 CEST by the dblp team
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