Safety verification of finite real-time nonlinear hybrid systems using enhanced group preserving scheme. - Hui Zhang; Jinzhao Wu; Jianguang Lu; Juan Tang (Clust. Comput., 2016)

An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis. - Shaobo Li 001; Guokai Liu; Xianghong Tang; Jianguang Lu; Jianjun Hu (Sensors, 2017)

A Novel Method for Intelligent Single Fault Detection of Bearings Using SAE and Improved D-S Evidence Theory. - Jianguang Lu; Huan Zhang 003; Xianghong Tang (Entropy, 2019)

A Bearing Fault Diagnosis Method Based on Feature Selection Feedback Network and Improved D-S Evidence Fusion. - Xianghong Tang; Xin Gu; Jiachen Wang; Qiang He; Fan Zhang 046; Jianguang Lu (IEEE Access, 2020)

A single fault detection method of gearbox based on random forest hybrid classifier and improved Dempster-Shafer information fusion. - Xianghong Tang; Xin Gu; Lei Rao; Jianguang Lu (Comput. Electr. Eng., 2021)

Research on Prediction Method of Auto Insurance Claim Amount Based on Graph Deep Learning. - Jianguang Lu; Pengfei Liu; Bin Xing (ICBAR, 2023)

Physical Information Neural Networks for Solving High-index Differential-algebraic Equation Systems Based on Radau Methods. - Jiasheng Chen; Juan Tang; Ming Yan 007; Shuai Lai; Kun Liang; Jianguang Lu; Wenqiang Yang (CoRR, 2023)

A novel spatio-temporal hybrid neural network for remaining useful life prediction. - Tao Wang; Xianghong Tang; Jianguang Lu; Fangjie Liu (J. Supercomput., 2023)

Subgraph autoencoder with bridge nodes. - Denggao Qin; Xianghong Tang; Yong Huang; Jianguang Lu (Expert Syst. Appl., 2024)

Physics-Informed Neural Networks for Solving High-Index Differential-Algebraic Equation Systems Based on Radau Methods. - Jiasheng Chen; Juan Tang; Ming Yan 007; Shuai Lai; Kun Liang; Jianguang Lu; Wenqiang Yang (Int. J. Intell. Syst., 2024)

CATodyNet: Cross-attention temporal dynamic graph neural network for multivariate time series classification. - Haoyu Gui; Guanjun Li; Xianghong Tang; Jianguang Lu (Knowl. Based Syst., 2024)

Two-stage GNN-based fraud detection with camouflage identification and enhanced semantics aggregation. - Jun Zhang; Jianguang Lu; Xianghong Tang (Neurocomputing, 2024)

Subgraph representation learning with self-attention and free adversarial training. - Denggao Qin; Xianghong Tang; Jianguang Lu (Appl. Intell., 2024)

Dual graph-structured semantics multi-subspace learning for cross-modal retrieval. - Yirong Li; Xianghong Tang; Jianguang Lu; Yong Huang (Multim. Syst., 2024)

Dual convolutional network based on hypergraph and multilevel feature fusion for road extraction from high-resolution remote sensing images. - Bowen Li; Xianghong Tang; Rang Xiao; Jianguang Lu; Yuhao Wang (Int. J. Digit. Earth, 2024)

Lightweight graph neural network architecture search based on heuristic algorithms. - Zihao Zhao; Xianghong Tang; Jianguang Lu; Yong Huang (Int. J. Mach. Learn. Cybern., 2025)