| Deep learning based real-time and in-situ monitoring of weld penetration: Where we are and what are needed revolutionary solutions? R Yu, Y Cao, H Chen, Q Ye, YM Zhang Journal of Manufacturing Processes 93, 15-46, 2023 | 31 | 2023 |
| A multi-BRIEF-descriptor stereo matching algorithm for binocular visual sensing of fillet welds with indistinct features T Wang, Z Wang, Y Cao, Y Wang, S Hu Journal of Manufacturing Processes 66, 636-650, 2021 | 20 | 2021 |
| Modeling of weld penetration control system in GMAW-P using NARMAX methods Y Cao, Z Wang, S Hu, W Wang Journal of Manufacturing Processes 65, 512-524, 2021 | 20 | 2021 |
| Control of weld penetration depth using relative fluctuation coefficient as feedback S Zou, Z Wang, S Hu, W Wang, Y Cao Journal of Intelligent Manufacturing 31, 1203-1213, 2020 | 19 | 2020 |
| Weld pool surface fluctuations sensing in pulsed GMAW W Wang, Z Wang, S Hu, P Bai, T Lu, Y Cao Weld J 97 (12), 327S-337S, 2018 | 11 | 2018 |
| Do We Need a New Foundation to Use Deep Learning to Monitor Weld Penetration? E Mucllari, R Yu, Y Cao, Q Ye, YM Zhang IEEE Robotics and Automation Letters 8 (6), 3669-3676, 2023 | 6 | 2023 |
| Robotizing double-electrode GMAW process through learning from human welders YMZ Rui Yu, Yue Cao, Jennifer Martin, Otto Chiang Journal of Manufacturing Processes 109, 140-150, 2024 | 3 | 2024 |
| Adaptive predictive control of backside weld width in pulsed gas metal arc welding using electrical characteristic signals as feedback Y Cao, Z Wang, S Hu, T Wang IEEE Transactions on Control Systems Technology 31 (6), 2879-2886, 2023 | 3 | 2023 |
| Nonlinear identification of weld penetration control system in pulsed gas metal arc welding W Wang, Z Wang, S Hu, Y Cao, S Zou Transactions on Intelligent Welding Manufacturing: Volume II No. 3 2018, 95-108, 2019 | 3 | 2019 |
| Deep-learning based supervisory monitoring of robotized DE-GMAW process through learning from human welders R Yu, Y Cao, J Martin, O Chiang, YM Zhang Welding in the World 68 (4), 781-791, 2024 | 2 | 2024 |
| Modeling imaged welding process dynamic behaviors using Generative Adversarial Network (GAN) for a new foundation to monitor weld penetration using deep learning E Mucllari, Y Cao, Q Ye, YM Zhang Journal of Manufacturing Processes 124, 187-195, 2024 | | 2024 |
