1. Bo, D.Y., Wang, X., Shi, C., Zhu, M.Q., Lu, E., & Cui, P. (2020, April). Structural deep clustering network. In Proceedings of The Web Conference 2020 (WWW’20), April 20-24, 2020, Taipei, Taiwan, ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/3366423.3380214.
2. Domain adversarial transfer network for cross-domain fault diagnosis of rotary machinery;Chen;IEEE Transactions on Instrumentation and Measurement,2020
3. Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M., & Lempitsky, V. (2015). Domain-adversarial training of neural networks. May 28, 2015. arXiv preprint arXiv: 1505.07818.
4. Goodfellow, I.J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014). Generative Adversarial Networks, June 10, 2014. arXiv preprint arXiv: 1406.2661.
5. Remaining useful life prediction of bearing based on stacked autoencoder and recurrent neural network;Han;Journal of Manufacturing Systems,2021