Xijia (Simon) Wei

Xijia (Simon) Wei
PhD Student
Pronouns: he/him/his
[email address hidden]
+44 (0) 7754 106664
Room: 2.04
UCLIC, University College London
66 - 72 Gower Street
London, WC1E 6EA
United Kingdom

Brief biography

I am currently a PhD student at University College London (UCL) under the supervision of Prof Nadia Berthouze , Dr Youngjun Cho and Dr Kevin Chetty. Meanwhile, I am as a visiting scholar at Bell Labs. I focus on sensor fusion based ubiquitous computing. Specifically, I explore multimodal machine learning architecture to allow models automatically learn communicative features from multisensory data without human intervention to make robust inferences under various real-life scenarios. I am currently developing a novel wireless sensing system that can recognise the quality of body movement and physiological signals.

Prior to joining UCL, I studied Artificial Intelligence (MSc) under the supervision of Dr Valentin Radu and Electronics and Electrical Engineering (BEng), supervised by Prof Tughrul Arslan, both at the University of Edinburgh.

YouTube Channel

Research Publications

Temitayo Olugbade, L Lin, A Sansoni, N Warawita, Y Gan, X Wei, B Petreca, G Boccignone, D Atkinson, Youngjun Cho FabricTouch: A Multimodal Fabric Assessment Touch Gesture Dataset to Slow Down Fast Fashion 2023 Conference paper (text)
X Wei, Temitayo Olugbade, F Shi, S Wu, A Williams, N Gold, Youngjun Cho, K Chetty, B Nadia Leveraging WiFi Sensing Toward Automatic Recognition of Pain Behaviors 2023 Conference paper (text)
X Wei, V Radu Leveraging Transfer Learning for Robust Multimodal Positioning Systems using Smartphone Multi-sensor Data 2022 Conference paper (text)
X Wei, Z Wei, V Radu MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks 2022 Conference paper (text)
X Wei, Z Wei, V Radu Sensor-Fusion for Smartphone Location Tracking Using Hybrid Multimodal Deep Neural Networks 2021 Sensors, Journal article
X Wei, V Radu Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking 2019 Conference paper (text)