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. 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.

Publications

  1. X. Wei, and V. Radu, "Leveraging Transfer Learning for Robust Multimodal Positioning Systems based on Smartphone Multisensory Data," 2022 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2022, pp. 1-8, doi: 10.1109/IPIN54987.2022.9918135.
  2. X. Wei and V. Radu, "MMLoc+: A Transfer Learning based Multimodal Machine Learning Localization System for Dynamic Sensor Networks," 2022 UK Mobile, Wearable and Ubiquitous Systems Research Symposium (MobiUK), 2022.
  3. X. Wei, Z. Wei, and V. Radu, "Sensor-Fusion for Smartphone Location Tracking Using Hybrid Multimodal Deep Neural Networks," Sensors, vol. 21, no. 22, p. 7488, Nov. 2021, doi: 10.3390/s21227488.
  4. X. Wei, Z. Wei and V. Radu, "MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks," 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2021, pp. 1-8, doi: 10.1109/IPIN51156.2021.9662519.
  5. X. Wei and V. Radu, "Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking," 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2019, pp. 1-8, doi: 10.1109/IPIN.2019.8911768.
  6. X. Wei and V. Radu, "End-to-End Machine Learning for Smartphone-based Indoor Localisation and Tracking using Recurrent Neural Networks," 2018 UK Mobile, Wearable and Ubiquitous Systems Research Symposium (MobiUK), 2018.

YouTube Channel

Research Publications

Authors
Title
Year
Publication
X Wei, V Radu Leveraging Transfer Learning for Robust Multimodal Positioning Systems using Smartphone Multi-sensor Data 2022 2022 IEEE 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN), Conference paper (text)
X Wei, Z Wei, V Radu MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks 2022 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Conference paper (text), Lloret de Mar, Spain
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 10th International Conference on Indoor Positioning and Indoor Navigation (IPIN), Conference paper (text), Pisa, ITALY