| An automated defect detection approach for catenary rod-insulator textured surfaces using unsupervised learning W Liu, Z Liu, H Wang, Z Han IEEE Transactions on Instrumentation and Measurement 69 (10), 8411-8423, 2020 | 71 | 2020 |
| Deep reinforcement learning based active pantograph control strategy in high-speed railway H Wang, Z Han, Z Liu, Y Wu IEEE Transactions on Vehicular Technology 72 (1), 227-238, 2022 | 32 | 2022 |
| A looseness detection method for railway catenary fasteners based on reinforcement learning refined localization J Zhong, Z Liu, H Wang, W Liu, C Yang, Z Han, A Nunez IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021 | 31 | 2021 |
| An automatic loose defect detection method for catenary bracing wire components using deep convolutional neural networks and image processing W Liu, Z Liu, Y Li, H Wang, C Yang, D Wang, D Zhai IEEE Transactions on Instrumentation and Measurement 70, 1-14, 2021 | 29 | 2021 |
| A reinforcement learning-based pantograph control strategy for improving current collection quality in high-speed railways H Wang, Z Han, W Liu, Y Wu IEEE Transactions on Neural Networks and Learning Systems, 2022 | 16 | 2022 |
| Rapid adaptation for active pantograph control in high-speed railway via deep meta reinforcement learning H Wang, Z Liu, Z Han, Y Wu, D Liu IEEE Transactions on Cybernetics 54 (5), 2811-2823, 2023 | 15 | 2023 |
| A multilevel feature and structure prior information-based positioning approach for catenary support components Y Li, Z Han, Z Liu, H Wang, C You, W Liu IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021 | 8 | 2021 |
| Model-based data efficient reinforcement learning for active pantograph control in high-speed railways H Wang, Z Liu, X Wang, X Meng, Y Wu, Z Han IEEE Transactions on Transportation Electrification, 2023 | 7 | 2023 |
| Contrastive learning-based bayes-adaptive meta-reinforcement learning for active pantograph control in high-speed railways H Wang, Z Han, X Wang, Y Wu, Z Liu IEEE Transactions on Transportation Electrification, 2023 | 7 | 2023 |
| An automatic defect detection method for catenary bracing wire components using deep convolutional neural networks and image processing W Liu, D Wang, C Yang, Y Li, H Wang, Z Liu 2020 International Conference on Sensing, Measurement & Data Analytics in …, 2020 | 3 | 2020 |
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