Assistant Research Fellow
Phone:
Email: gaoyiping@hust.edu.cn
Academic Areas: Deep learning methods and their applications in defect recognition and fault diagnosis
Gao Yiping, male, Ph.D., born in March 1991, received the Ph.D. degree in Mechanical Engineering from Huazhong University of Science and Technology (HUST), China, in June 2021, and worked as a postdoctoral researcher in the School of Mechanical Engineering, HUST, China, from June 2021 to January 2024, and then stayed in HUST, China, in January 2024 to engage in teaching and Research.
He is mainly engaged in deep learning methods and their applications in defect recognition and fault diagnosis, and has published 15 papers in IEEE Transactions on Industrial Informatics, Robotic and Computer-Integrated Manufacturing, and other international journals in recent years as the first or corresponding author, including three ESI Highly Cited Papers. He was awarded the first prize of innovative technology by China Simulation Society, and was selected for the 9th China Association for Science and Technology Young Talent Support Project and Excellent Doctoral Thesis of China Simulation Society.
Academic Degrees
2010.09-2014.06, Huazhong University of Science and Technology, Bachelor
2014.09-2021.06, Huazhong University of Science and Technology, Ph.D.
Professional Experience
2021.06-2024.01, Huazhong University of Science and Technology, postdoctoral fellow.
Selected Publications
[1] Gao Yiping, Gao Liang, Li Xinyu* and Yan Xuguo. A semi-supervised convolutional neural network-based method for steel surface defect recognition. Robotics and Computer-Integrated Manufacturing, 2020, 61: 101825.
[2] Gao Yiping, Gao Liang, Li Xinyu* and Zheng Yuwei. A zero-shot learning method for fault diagnosis under unknown working loads. Journal of Intelligent Manufacturing, 2020, 31(4): 899-909.
[3] Gao Yiping, Li Xinyu, Gao Liang*. A Deep Lifelong Learning Method for Digital-Twin Driven Defect Recognition with Novel Classes. ASME Journal of Computing and Information Science in Engineering, 2021, 21(3): 031004.
[4] Gao Yiping, Gao Liang, Li Xinyu*. A generative adversarial network-based deep learning method for low-quality defect image reconstruction and recognition. IEEE Transactions on Industrial Informatics, 2021, 17(5): 33231-3240.
[5] Gao Yiping, Gao Liang, Li Xinyu*. A multilevel information fusion-based deep learning method for vision-based defect recognition. IEEE Transactions on Instrumentation and Measurement, 2020, 69(7): 3980-3991.
[6] Gao Yiping, Li Xinyu, Gao Liang*. Discriminative stacked autoencoder for feature representation and classification. Science China Information Sciences, 2020, 63(2): 120111.
[7] Gao Yiping, Li Xinyu, Wang Vincent Xi, Wang Lihui, Gao Liang*. A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence, 2021. Journal of Manufacturing Systems. DOI: 10.1016/j.jmsy.2021.05.008
Awards and Honors
[1] Selected for the 9th Young Talent Support Project of the Chinese Association for Science and Technology (CAST)
[2] Excellent Doctoral Thesis of China Simulation Society.
