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Xijia (Simon) Wei
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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
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Authors
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Title
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Year
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Publication
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|---|---|---|---|
| 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 |