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
[Feb. 2026] Our research on earable acoustic sensing of cognitive load was featured by Scimex (Science Media Exchange) and Ingenium (Official Press of the University of Melbourne), highlighting the potential of everyday earbuds for real-time brain health monitoring. Paper
[Dec. 2025] Our paper "Listening to the Mind: Earable Acoustic Sensing of Cognitive Load" has been published in UbiComp Companion 2025! Link
[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.