Dr Juan Ye (Erica)Address: Room JC1.12 Jack Cole Building, School of Computer Science, University of St Andrews, St Andrews, Fife, UK KY16 9SXTel: (+44)01334463258Email: juan.ye AT st-andrews DOT ac DOT uk, ye.yejuan1204 AT gmail DOT com
The workshop MobiHAR 2021, co-existing with MDM 2021, is open for submission and deadline is 3 Apr 2021.
The special issue "Sensor-Based Human Activity Recognition in Real-World Scenarios" on Applied Sciences is now open for submission and deadline is 30 Nov 2021.
Our paper Unsupervised Domain Adaptation in Activity Recognition: a GAN-based Approach is available on IEEE Access. Feb 2021.
Our paper on "Continual Activity Recognition with Generative Adversarial Networks" has been accepted by ACM Transactions on Internet of Things", 29 Nov 2020.
Our paper on "Generalisation and Robustness Investigation For Facial and Speech Emotion Recognition Using Bio-Inspired Spiking Neural Networks" has been accepted by Soft Computing (impact factor = 3.05), 29 Nov 2020.
Gave a talk on "Unsupervised domain adaptation for human activity recognition" at Centre for Mobile, Wearable Systems and Augmented Intelligence at Cambridge, 23 Nov 2020. [link]
Served as a general chair on MobiHealth 2020, 19 Nov 2020.
Our paper on "Bayesian Inference Federated Learning for HeartRate Prediction" has been accepted by MobiHealth' 2020. Oct 2020.
Served as PC member on AAAI' 2021. Sep 2020.
PhD scholarship available at St Andrews (application deadline 30 June 2020), great opportunity to work in both St Andrews and Victoria, Canada!
Our paper "Continual Learning in Human Activity Recognition: An empirical Analysis of Regularization". accepted by ICML Continual Learning Workshop 2020. July 2020.
My paper "Shared learning activity labels across heterogeneous datasets", accepted by IOS Journal of Ambient Intelligence and Smart Environments on 30 Mar 2020.
Our paper "Evolving Models for Incrementally Learning Emerging Activities", accepted by IOS Journal of Ambient Intelligence and Smart Environments on 30 Mar 2020.
Ai's paper "Visualization as Intermediate Representations (VLAIR) for Human Activity Recognition", accepted by PervasiveHealth. Mar 2020.
Andrea's paper "Unsupervised Domain Adaptation for Activity Recognition Across Heterogeneous Datasets", accepted by Pervasive and Mobile Computing. Feb 2020.
Esma's paper on "Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks" is accepted by AAAI 2020.