Have the courage to follow your heart and intuition. They somehow already know what you truly want to become. Everything else is secondary.

Steve Jobs’ 2005 Stanford Talk

-- Steve Jobs

About Me

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 ubiquitious computing. I am investigating multimodal machine learning to allow model automatically learn communicative features from multisensory data without human intervention to make robust inferences under various real-life scenarios. Specifically, how to design machine learning architecture to compensate the missing modality from multisensory data. I am currently developing a novel RF-Vision system that can 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.

Research Interests

• Multimodal Machine Learning
• Generative AI
• Domain Adaption
• Ubiquitious Computing
• Multisensory Systems
• Radar Systems
• Wireless Sensing
• Sensor-based Healthcare
• Location Tracking System

News

[Nov. 2023] I served as a AC reviewer for IMWUT.

[Oct. 2023] I served as a 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 has been accepted “Leveraging WiFi Sensing toward Automatic Recognition of Protective Behaviors”. See you MIT Media Lab, Cambridge, MA, USA. Link

[June. 2023] Research Internship at Nokia Bell Labs Cambridge. I started my PhD research intern at the prestigious Bell Labs at Cambridge during this summer!

[May. 2023] I served as a PC member for ACII’2023.

[April. 2023] I passed my first-year viva regarding the topic of wireless human sensing!

[Sept. 2022] Invited Talk at HK PolyTechnic University. I give a talk at HK PolyTech, regarding the topic of “Machine-learning based Sensor-fusion Localization”. Link

[Aug. 2022] Paper accepted at IPIN, 2022. 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. Work with Valentin Radu, “MMLoc+: A Transfer Learning based Multimodal Machine Learning Localization System for Dynamic Sensor Networks”. Link

[Jan. 2022] Paper published on IEEE. Work with Zhiqiang Wei and Valentin Radu, “MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks”. Link

[Oct. 2021] Journal accepted at Sensors. 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. 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. Work with Valentin Radu, “Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking”. See you in Pisa, Italy. Link

[Aug. 2018] Paper accepted at MobiUK 2018. 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. Link