I’m a Ph.D. student at the Department of Computer Science, University of Oxford. My current research interests concentrate on machine learning for signal processing, and intelligent sensor systems. Driven by solving real-world problems, I'm working on machine (deep) learning to process time-series sensor data for ubiquitous localisation, robot navigation, perception & decisions, and Internet of Things (IoT). Most of my work is to perform system state estimation from noisy sensors, e.g. inertial, visual, magnetic, and MMWave radar data. I work in Cyber Physical Systems Group under the supervision of Prof. Niki Trigoni and Prof. Andrew Markham.
DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination
M.R.U. Saputra P.P.B. de Gusmao C.X. Lu Y. Almalioglu S. Rosa C. Chen J. Wahlstrom W. Wang A. Markham and N. Trigoni
In IEEE Robotics and Automation Letters (RAL). 2020.
Deep Learning based Pedestrian Inertial Navigation: Methods‚ Dataset and On−Device Inference
A. Markham C. Chen P. Zhao C.X. Lu W. Wang and N. Trigoni
In IEEE Internet of Things Journal. 2020.
Deep Neural Network Based Inertial Odometry Using Low−cost Inertial Measurement Units
Changhao Chen‚ Chris Xiaoxuan Lu‚ Johan Wahlstrom‚ Andrew Markham and Niki Trigoni
In IEEE Transactions on Mobile Computing. 2020.