| Knock detection based on the optimized variational mode decomposition F Bi, X Li, C Liu, C Tian, T Ma, X Yang Measurement 140, 1-13, 2019 | 50 | 2019 |
| An echo state network with improved topology for time series prediction X Li, F Bi, X Yang, X Bi IEEE Sensors Journal 22 (6), 5869-5878, 2022 | 35 | 2022 |
| Adaptive recursive variational mode decomposition for multiple engine faults detection D Tang, F Bi, J Lin, X Li, X Yang, X Bi IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2022 | 19 | 2022 |
| VMD-KFCM algorithm for the fault diagnosis of diesel engine vibration signals X Bi, J Lin, D Tang, F Bi, X Li, X Yang, T Ma, P Shen Energies 13 (1), 228, 2020 | 19 | 2020 |
| Uwb-fi: Pushing wi-fi towards ultra-wideband for fine-granularity sensing X Li, H Wang, Z Chen, Z Jiang, J Luo Proceedings of the 22nd Annual International Conference on Mobile Systems …, 2024 | 13 | 2024 |
| An engine fault detection method based on the deep echo state network and improved multi-verse optimizer X Li, F Bi, L Zhang, X Yang, G Zhang Energies 15 (3), 1205, 2022 | 10 | 2022 |
| Rotating machinery faults detection method based on deep echo state network X Li, F Bi, L Zhang, J Lin, X Bi, X Yang Applied Soft Computing 127, 109335, 2022 | 9 | 2022 |
| Knock detection based on recursive variational mode decomposition and multilevel semi-supervised local fisher discriminant analysis F Bi, X Li, J Lin, X Bi, T Ma, X Yang, D Tang, P Shen IEEE Access 7, 122028-122040, 2019 | 8 | 2019 |
| A condition-monitoring approach for diesel engines based on an adaptive VMD and sparse representation theory X Yang, F Bi, Y Jing, X Li, G Zhang Energies 15 (9), 3315, 2022 | 6 | 2022 |
| Engine working state recognition based on optimized variational mode decomposition and expectation maximization algorithm X Bi, J Lin, F Bi, X Li, D Tang, Y Wu, X Yang, P Shen IEEE Access 8, 33545-33559, 2020 | 4 | 2020 |
| Multiple Engine Faults Detection Using Variational Mode Decomposition and GA-K-means D Tang, F Bi, X Yang, X Li, P Shen, C Tian SAE Technical Paper, 2022 | 3 | 2022 |
| Efficient Beamforming Feedback Information-Based Wi-Fi Sensing by Feature Selection X Li, J Hu, J Luo IEEE Wireless Communications Letters, 2024 | 2 | 2024 |
| 基于变模式分解的爆震特征识别方法 毕凤荣， 李鑫， 马腾 振动, 测试与诊断 38 (5), 903-907, 2018 | 2 | 2018 |
| Beamforming made Malicious: Manipulating Wi-Fi Traffic via Beamforming Feedback Forgery M Xu, Y He, X Li, J Hu, Z Chen, F Xiao, J Luo Proceedings of the 30th Annual International Conference on Mobile Computing …, 2024 | 1 | 2024 |
| Engine multiple faults detection base on bispectrum and convolutional neural network X Li, F Bi, X Yang, D Tang, P Shen International Conference on Sensors and Instruments (ICSI 2021) 11887, 448-454, 2021 | 1 | 2021 |
| Multiple Engine Faults Detection Based on Variational Mode Decomposition and Echo State Network X Li, F Bi, X Ma, P Shen, J Cheng SAE Technical Paper, 2020 | 1 | 2020 |
| Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks J Hu, X Li, Z Su, J Luo arXiv preprint arXiv:2502.12736, 2025 | | 2025 |
| Data-Driven Optimization Strategy of Microphone Array Configurations in Vehicle Environments L Liu, F Bi, J Lin, T Qi, X Li IEEE Transactions on Instrumentation and Measurement 73, 6506310, 2024 | | 2024 |
| CCS-Fi: Widening Wi-Fi Sensing Bandwidth via Compressive Channel Sampling X Li, H Wang, J Hu, Z Chen, Z Jiang, J Luo | | |
Jiewei LinState Key Laboratory of Engines, School of Mechanical Engineering, Tianjin UniversityOverená e-mailová adresa na: tju.edu.cn