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.
Autonomous Learning of Speaker Identity and WiFi Geofence from Noisy Sensor Data
Chris Xiaoxuan Lu‚ Yuanbo Xiangli‚ Peijun Zhao‚ Changhao Chen‚ Niki Trigoni and Andrew Markham
In IEEE Internet of Things Journal. 2019.
DeepPCO: End−to−end Point Cloud Odometry through Deep Parallel Neural Network
Wei Wang Muhamad Risqi U. Saputra Peijun Zhao Pedro Gusmao Bo Yang Changhao Chen Andrew Markham and Niki Trigoni
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2019.
mID: Tracking and Identifying People with Millimeter Wave Radar
Peijun Zhao‚ Chris Xiaoxuan Lu‚ Jianan Wang‚ Changhao Chen‚ Wei Wang‚ Niki Trigoni and Andrew Markham
In International Conference on Distributed Computing in Sensor Systems (DCOSS). 2019.