DLformer: A dynamic length transformer-based network for efficient feature representation in remaining useful life prediction L Ren, H Wang, G Huang IEEE transactions on neural networks and learning systems, 2023 | 23 | 2023 |
Time-varying Gaussian Encoder based Adaptive Sensor-Weighted Method for Turbofan Engine Remaining Useful Life Prediction L Ren, H Wang, Z Jia, Y Laili, L Zhang IEEE Transactions on Instrumentation and Measurement, 2023 | 7 | 2023 |
A Lightweight Group Transformer-Based Time Series Reduction Network for Edge Intelligence and Its Application in Industrial RUL Prediction L Ren, H Wang, T Mo, LT Yang IEEE Transactions on Neural Networks and Learning Systems, 2024 | 6 | 2024 |
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models L Ren, H Wang, Y Tang, C Yang arXiv preprint arXiv:2407.11480, 2024 | 3 | 2024 |
Diff-MTS: Temporal-Augmented Conditional Diffusion-Based AIGC for Industrial Time Series Toward the Large Model Era L Ren, H Wang, Y Laili IEEE Transactions on Cybernetics, 2024 | | 2024 |
BTFormer: A BNN-Based Trend-Aware Time-Series Prediction Model for Industrial Intelligence L Ren, S Li, X Wang, H Wang, Y Laili IEEE Transactions on Industrial Informatics, 2024 | | 2024 |