Pcbnet: A lightweight convolutional neural network for defect inspection in surface mount technology H Wu, R Lei, Y Peng IEEE Transactions on Instrumentation and Measurement 71, 1-14, 2022 | 37 | 2022 |
AAGNet: A graph neural network towards multi-task machining feature recognition H Wu, R Lei, Y Peng, L Gao Robotics and Computer-Integrated Manufacturing 86, 102661, 2024 | 12 | 2024 |
Mfpointnet: A point cloud-based neural network using selective downsampling layer for machining feature recognition R Lei, H Wu, Y Peng Machines 10 (12), 1165, 2022 | 6 | 2022 |
A semi-supervised learning framework for machining feature recognition on small labeled sample H Wu, R Lei, P Huang, Y Peng Applied Sciences 13 (5), 3181, 2023 | 4 | 2023 |
A precise convolutional neural network-based classification and pose prediction method for PCB component quality control R Lei, D Yan, H Wu, Y Peng 2022 14th International Conference on Electronics, Computers and Artificial …, 2022 | 2 | 2022 |
A knowledge-guided process planning approach with reinforcement learning L Zhang, H Wu, Y Chen, X Wang, Y Peng Journal of Engineering Design, 1-24, 2024 | | 2024 |
Data-driven parameter optimization for laser-induced coloration on stainless steel Y Chen, H Wu, Y Peng Optics and Lasers in Engineering 180, 108307, 2024 | | 2024 |