Dr Juan Ye
Senior Lecturer - School of Computer Science
Email: jy31@st-andrews.ac.uk
Office: JC1.12
Phone: +44 (0)1334 463258
Recent Publications
- Fang, L, Liu, X, Su, X, Ye, J, Dobson, S, Hui, P & Tarkoma, S 2021, Bayesian inference federated learning for heart rate prediction. in J Ye, MJ O'Grady, G Civitarese & K Yordanova (eds), Wireless Mobile Communication and Healthcare: 9th EAI International Conference, MobiHealth 2020, Virtual Event, November 19, 2020, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 362 LNICST, Springer, Cham, pp. 116-130. https://doi.org/10.1007/978-3-030-70569-5_8
- Civitarese, G, Ye, J, Zampatti, M & Bettini, C 2021, 'Collaborative activity recognition with heterogeneous activity sets and privacy preferences', Journal of Ambient Intelligence and Smart Environments, vol. Pre-press, pp. 1-20. https://doi.org/10.3233/ais-210018
- Ye, J, Nakwijit, P, Schiemer, M, Jha, S & Zambonelli, F 2021, 'Continual activity recognition with generative adversarial networks', ACM Transactions on Internet of Things, vol. 2, no. 2, 9, pp. 1-25. https://doi.org/10.1145/3440036
- Jha, S, Schiemer, M, Zambonelli, F & Ye, J 2021, 'Continual learning in sensor-based human activity recognition: an empirical benchmark analysis', Information Sciences, vol. In Press, pp. 1-35. https://doi.org/10.1016/j.ins.2021.04.062
- Rosales Sanabria, A, Zambonelli, F, Dobson, SA & Ye, J 2021, 'ContrasGAN: unsupervised domain adaptation in Human Activity Recognition via adversarial and contrastive learning', Pervasive and Mobile Computing, vol. In Press, 101477, pp. 1-34. https://doi.org/10.1016/j.pmcj.2021.101477
- Mansouri Benssassi, E & Ye, J 2021, 'Generalisation and robustness investigation for facial and speech emotion recognition using bio-inspired spiking neural networks', Soft Computing, vol. First Online. https://doi.org/10.1007/s00500-020-05501-7
- Mansouri Benssassi, E & Ye, J 2021, 'Investigating multisensory integration in emotion recognition through bio-inspired computational models', IEEE Transactions on Affective Computing, vol. Early Access. https://doi.org/10.1109/TAFFC.2021.3106254
- Ye, J 2021, 'Shared learning activity labels across heterogeneous datasets', Journal of Ambient Intelligence and Smart Environments, vol. Pre-press, pp. 1-18. https://doi.org/10.3233/AIS-210590
- Rosales Sanabria, A, Zambonelli, F & Ye, J 2021, 'Unsupervised domain adaptation in activity recognition: a GAN-based approach', IEEE Access, vol. 9, pp. 19421-19438. https://doi.org/10.1109/ACCESS.2021.3053704
- Jha, S, Schiemer, M & Ye, J 2020, 'Continual learning in human activity recognition: an empirical analysis of regularization', Paper presented at Thirty-seventh International Conference on Machine Learning, ICML 2020; ICML Workshop on Continual Learning, 13/07/20 - 18/07/20 pp. 1-4.