| Neural network based image segmentation for spatter extraction during laser-based powder bed fusion processing Z Tan, Q Fang, H Li, S Liu, W Zhu, D Yang Optics & laser technology 130, 106347, 2020 | 50 | 2020 |
| Machine-learning-based monitoring and optimization of processing parameters in 3D printing TS Tamir, G Xiong, Q Fang, Y Yang, Z Shen, MC Zhou, J Jiang International Journal of Computer Integrated Manufacturing 36 (9), 1362-1378, 2023 | 36 | 2023 |
| In-situ capture of melt pool signature in selective laser melting using U-Net-based convolutional neural network Q Fang, Z Tan, H Li, S Shen, S Liu, C Song, X Zhou, Y Yang, S Wen Journal of Manufacturing Processes 68, 347-355, 2021 | 32 | 2021 |
| Process monitoring, diagnosis and control of additive manufacturing Q Fang, G Xiong, MC Zhou, TS Tamir, CB Yan, H Wu, Z Shen, FY Wang IEEE Transactions on Automation Science and Engineering 21 (1), 1041-1067, 2022 | 25 | 2022 |
| A feedback-based print quality improving strategy for FDM 3D printing: an optimal design approach TS Tamir, G Xiong, Q Fang, X Dong, Z Shen, FY Wang The International Journal of Advanced Manufacturing Technology 120 (3), 2777 …, 2022 | 23 | 2022 |
| Design and optimization of a control framework for robot assisted additive manufacturing based on the Stewart platform TS Tamir, G Xiong, X Dong, Q Fang, S Liu, E Lodhi, Z Shen, FY Wang International Journal of Control, Automation and Systems 20 (3), 968-982, 2022 | 16 | 2022 |
| 3D printing in materials manufacturing industry: A realm of Industry 4.0 TS Tamir, G Xiong, Z Shen, J Leng, Q Fang, Y Yang, J Jiang, E Lodhi, ... Heliyon, 2023 | 12 | 2023 |
| An enhanced fault diagnosis method with uncertainty quantification using Bayesian convolutional neural network Q Fang, G Xiong, X Shang, S Liu, B Hu, Z Shen 2020 IEEE 16th international conference on automation science and …, 2020 | 8 | 2020 |
| Reducing Shape-Radiance Ambiguity in Radiance Fields with a Closed-Form Color Estimation Method Q Fang, Y Song, K Li, L Bo Advances in Neural Information Processing Systems, 2024 | 3 | 2024 |
| Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior Q Fang, Y Song, K Li, L Shen, H Wu, G Xiong, L Bo Proceedings of the AAAI Conference on Artificial Intelligence, 2024 | 3 | 2024 |
| Parallel Additive Manufacturing Systems Z Shen, X Dong, Q Fang, G Xiong, CC Ge, FY Wang IEEE Journal of Radio Frequency Identification 6, 758-763, 2022 | 2 | 2022 |
| A Point-Based Neural Network for Real-Scenario Deformation Prediction in Additive Manufacturing M Zhao, G Xiong, W Wang, Q Fang, Z Shen, L Wan, F Zhu 2022 IEEE 18th International Conference on Automation Science and …, 2022 | 1 | 2022 |
| A Flexible and Accurate Additive Manufacturing Data Retrieval Method Based on Probabilistic Modeling and Transformation-Invariant Feature Learning Q Fang, G Xiong, W Wang, Z Shen, X Dong, FY Wang Journal of Computing and Information Science in Engineering 24 (8), 2024 | | 2024 |
| Conditional diffusion guided by part-level latent for dental crown point cloud generation A Zhang, Z Shen, J Yang, Q Fang, G Xiong, X Dong International Conference on Image, Signal Processing, and Pattern …, 2024 | | 2024 |
| Self-supervised depth-guided few-shot neural rendering J Yang, A Zhang, Q Fang, G Xiong, Z Shen, HY Wu International Conference on Image, Signal Processing, and Pattern …, 2024 | | 2024 |
| Deep Reinforcement Learning for Dynamic Error Compensation in 3D Printing D Wang, Z Shen, X Dong, Q Fang, W Wang, X Dong, G Xiong 2023 IEEE 19th International Conference on Automation Science and …, 2023 | | 2023 |
