Xijia Wei
I am a PhD candidate (writing up) at University College London (UCL) under the supervision of Prof Nadia Berthouze, Prof Youngjun Cho, and Prof Kevin Chetty. I focus on developing machine learning algorithms for novel sensing systems in healthcare. I am investigating multimodal machine learning to allow models to automatically learn communicative features from multisensory data without human intervention and the need for label-hungry labelled data, towards robust performance under various real-life scenarios. I am currently developing a novel multisensory sensing system that can recognise and understand human body behaviours across various domains.
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, at the University of Edinburgh.
News
[Nov. 2025] I gave a talk at the University of Macau on multimodal self-supervised learning applied to the healthcare domain.
[Oct. 2025] I presented four works at the 2025 MobiCom Conference on wireless sensing for human tracking, behaviour recognition, novel sensing applications, and an open-source multimodal sensing platform.
[Oct. 2025] I presented our work on acoustic sensing for auditory cognitive load measurement at the 2025 UbiComp Conference. This work was done in collaboration with Nokia Bell Labs.
[Aug. 2025] I served as an AC reviewer for AAAI.
[May 2024] I gave a talk at the UCL EE Department on wireless sensing for healthcare.
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[Apr. 2024] I passed my PhD upgrade viva!
[Nov. 2023] I served as an AC reviewer for IMWUT.
[Oct. 2023] I served as an AC reviewer for CHI 2024.
[Sept. 2023] Two papers accepted at ACII 2023.
My first-author paper on non-intrusive wireless signal-based protective behaviour recognition was accepted: "Leveraging WiFi Sensing toward Automatic Recognition of Protective Behaviors".
See you at MIT Media Lab, Cambridge, MA, USA.
Link
[June 2023] Research Internship at Nokia Bell Labs Cambridge.
I started my PhD research internship at the prestigious Bell Labs in Cambridge this summer!
[May 2023] I served as a PC member for ACII 2023.
[Apr. 2023] I passed my first-year viva on the topic of wireless human sensing!
[Sept. 2022] Invited Talk at Hong Kong Polytechnic University.
I gave a talk at HK PolyU on the topic of "Machine-learning based Sensor-fusion Localization".
Link
[Aug. 2022] Paper accepted at IPIN 2022.
Joint work with Valentin Radu: "Leveraging Transfer Learning for Robust Multimodal Positioning Systems based on Smartphone Multisensory Data".
See you in Beijing, China.
[May 2022] I joined the UCL Interaction Centre (UCLIC) for my PhD adventure!
[Apr. 2022] Paper accepted at MobiUK 2022.
Joint work with Valentin Radu: "MMLoc+: A Transfer Learning based Multimodal Machine Learning Localization System for Dynamic Sensor Networks".
Link
[Jan. 2022] Paper published in IEEE.
Joint work with Zhiqiang Wei and Valentin Radu: "MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks".
Link
[Oct. 2021] Journal article accepted in Sensors.
Joint work with Zhiqiang Wei and Valentin Radu: "Sensor-fusion for Smartphone Location Tracking using Hybrid Multimodal Deep Neural Networks".
Link
[Sept. 2021] Paper accepted at IPIN 2021.
Joint work with Zhiqiang Wei and Valentin Radu: "MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks".
See you in Lloret de Mar, Spain.
Video
[Jul. 2019] Paper accepted at IPIN 2019.
Joint work with Valentin Radu: "Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking".
See you in Pisa, Italy.
[Aug. 2018] Paper accepted at MobiUK 2018.
Joint work with Valentin Radu: "End-to-End Machine Learning for Smartphone-based Indoor Localisation and Tracking using Recurrent Neural Networks".
See you in Cambridge, UK.