AI Research Group

Dr Juan Ye

Dr Juan Ye

Dr Juan Ye

Senior Lecturer - School of Computer Science

Full research profile

Email: jy31@st-andrews.ac.uk

Office: JC1.12

Phone: +44 (0)1334 463258

Web: https://ye.host.cs.st-andrews.ac.uk

Recent Publications

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
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. in Proceedings of Machine Learning Research. pp. 1-4, Thirty-seventh International Conference on Machine Learning, ICML 2020; ICML Workshop on Continual Learning, 13/07/20.
Fang, L , Ye, J & Dobson, SA 2020, 'Discovery and recognition of emerging human activities using a hierarchical mixture of directional statistical models', IEEE Transactions on Knowledge and Data Engineering, vol. 32, no. 7, pp. 1304 - 1316. https://doi.org/10.1109/TKDE.2019.2905207
Ye, J & Callus, E 2020, 'Evolving models for incrementally learning emerging activities', Journal of Ambient Intelligence and Smart Environments, vol. 12, no. 4, pp. 313-325. https://doi.org/10.3233/AIS-200566
Ye, J, O’Grady, M & Banos, O 2020, 'Sensor technology for smart homes', Sensors, vol. 20, no. 24, 7046. https://doi.org/10.3390/s20247046
Mansouri Benssassi, E & Ye, J 2020, Synch-Graph: multisensory emotion recognition through neural synchrony via graph convolutional networks. in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-20). Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, pp. 1351-1358, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, United States, 7/02/20. https://doi.org/10.1609/aaai.v34i02.5491
Rosales Sanabria, A & Ye, J 2020, 'Unsupervised domain adaptation for activity recognition across heterogeneous datasets', Pervasive and Mobile Computing, vol. In press, 101147. https://doi.org/10.1016/j.pmcj.2020.101147
Jiang, A, Nacenta, M , Terzić, K & Ye, J 2020, Visualization as Intermediate Representations (VLAIR) for human activity recognition. in 14th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2020). ACM, 14th EAI International Conference on Pervasive Computing Technologies for Healthcare (EAI PervasiveHealth 2020), Atlanta, United States, 20/03/20. https://doi.org/10.1145/1122445.1122456
Ye, J , Dobson, SA & Zambonelli, F 2020, 'XLearn: learning activity labels across heterogeneous datasets', ACM Transactions on Intelligent Systems and Technology, vol. 11, no. 2, 17. https://doi.org/10.1145/3368272