| A new deep learning model for fault diagnosis with good anti-noise and domain adaptation ability on raw vibration signals W Zhang, G Peng, C Li, Y Chen, Z Zhang Sensors 17 (2), 425, 2017 | 1434 | 2017 |
| A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load W Zhang, C Li, G Peng, Y Chen, Z Zhang Mechanical systems and signal processing 100, 439-453, 2018 | 1249 | 2018 |
| Bearings fault diagnosis based on convolutional neural networks with 2-D representation of vibration signals as input W Zhang, G Peng, C Li MATEC web of conferences 95, 13001, 2017 | 124 | 2017 |
| ACDIN: Bridging the gap between artificial and real bearing damages for bearing fault diagnosis Y Chen, G Peng, C Xie, W Zhang, C Li, S Liu Neurocomputing 294, 61-71, 2018 | 119 | 2018 |
| Bearing fault diagnosis using fully-connected winner-take-all autoencoder C Li, WEI Zhang, G Peng, S Liu IEEE Access 6, 6103-6115, 2017 | 118 | 2017 |
| Rolling element bearings fault intelligent diagnosis based on convolutional neural networks using raw sensing signal W Zhang, G Peng, C Li Advances in Intelligent Information Hiding and Multimedia Signal Processing …, 2017 | 44 | 2017 |
| Learn to navigate maplessly with varied LiDAR configurations: A support point-based approach W Zhang, N Liu, Y Zhang IEEE Robotics and Automation Letters 6 (2), 1918-1925, 2021 | 23 | 2021 |
| Behavior switch for DRL-based robot navigation W Zhang, YF Zhang 2019 IEEE 15th International Conference on Control and Automation (ICCA …, 2019 | 14 | 2019 |
| Danger-aware adaptive composition of drl agents for self-navigation W Zhang, Y Zhang, N Liu Unmanned Systems 9 (01), 1-9, 2021 | 13 | 2021 |
| IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learning W Zhang, Y Zhang, N Liu, K Ren, P Wang IEEE/ASME Transactions on Mechatronics 27 (6), 5451-5461, 2022 | 12 | 2022 |
| An evolutional algorithm for automatic 2D layer segmentation in laser-aided additive manufacturing N Liu, K Ren, W Zhang, YF Zhang, YX Chew, GJ Bi, JYH Fuh Additive Manufacturing 47, 102342, 2021 | 8 | 2021 |
| Machine learning for uav propeller fault detection based on a hybrid data generation model JJ Tong, W Zhang, F Liao, CF Li, YF Zhang arXiv preprint arXiv:2302.01556, 2023 | 7 | 2023 |
| Map-less navigation: A single drl-based controller for robots with varied dimensions W Zhang, Y Zhang, N Liu arXiv preprint arXiv:2002.06320, 2020 | 7 | 2020 |
| Simulation-to-reality UAV Fault Diagnosis with Deep Learning W Zhang, J Tong, F Liao, Y Zhang arXiv preprint arXiv:2302.04410, 2023 | 5 | 2023 |
| Difference-based Deep Convolutional Neural Network for Simulation-to-reality UAV Fault Diagnosis W Zhang, J Tong, F Liao, Y Zhang arXiv preprint arXiv:2302.08117, 2023 | 2 | 2023 |
| Simulation-to-reality UAV Fault Diagnosis in windy environments W Zhang, J Tong, F Liao, Y Zhang arXiv preprint arXiv:2309.11897, 2023 | 1 | 2023 |
| Corrected Soft Actor Critic for Continuous Control Y Chen, X Zhang, X Wang, Z Xu, X Shen, W Zhang arXiv preprint arXiv:2410.16739, 2024 | | 2024 |
| The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models Y Chen, D Zhu, Y Sun, X Chen, W Zhang, X Shen arXiv preprint arXiv:2410.06554, 2024 | | 2024 |
| Research on Multi-Sensor Switching Control for the Photoelectric Tracking System H Li, G Peng, W Zhang, F Cheng, M Zhao IEEE Sensors Journal, 2024 | | 2024 |
| Achieving Stable High-Speed Locomotion for Humanoid Robots with Deep Reinforcement Learning X Zhang, X Wang, L Zhang, G Guo, X Shen, W Zhang arXiv preprint arXiv:2409.16611, 2024 | | 2024 |
Gaoliang PengHarbin Institute of TechnologyVerified email at hit.edu.cn
Chuanhao LiDepartment of Statistics & Data Science, Yale UniversityVerified email at yale.edu
Y F ZhangNational University of SingaporeVerified email at nus.edu.sg
Ning LiuAdvanced Remanufacturing and Technology Centre (ARTC)Verified email at artc.a-star.edu.sg