I am a 3rd-year PhD student at Oxford University. My study is generously funded by Google DeepMind. I earned my MEng degree in 2015 from Nanyang Technological University (NTU), advised by Prof. Lihua Xie.
My research interest lies in autonomous sensor systems for ubiquitous and secure context inference, e.g., identification and positioning. I am living Mark Weiser’s vision of ubiquitous-but-calm computing by exploring novel sensing modalities and exploiting heterogenous sensory data, at the frontier of Internet of Things (IoT).
Simultaneous Localization and Mapping with Ambient Electromagnetic Field
Chris Xiaoxuan Lu‚ Yang Li‚ Peijun Zhao‚ Changhao Chen‚ Linhai Xie‚ Hongkai Wen‚ Rui Tan and Niki Trigoni
In Annual International Conference on Mobile Computing and Networking (MobiCom). 2018.
Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning
Chris Xiaoxuan Lu‚ Bowen Du‚ Hongkai Wen‚ Sen Wang‚ Andrew Markham‚ Ivan Martinovic‚ Yiran Shen and Niki Trigoni
In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp). 2018.
SCAN: Learning Speaker Identity From Noisy Sets of Sensor Data
Chris Xiaoxuan Lu‚ Hongkai Wen‚ Sen Wang‚ Andrew Markham and Niki Trigoni
In ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN). 2017.