Chris Xiaoxuan Lu
I am a final-year PhD candidate 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 ubiquitous and mobile computing, with a focus on enabling ambient intelligence for Internet of Things (IoT) via cross-modality inference. To this end, I develop intelligent environments leveraging techniques from wireless networking, data mining and machine learning.
Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues
Chris Xiaoxuan Lu‚ Xuan Kan‚ Bowen Du‚ Changhao Chen‚ Hongkai Wen‚ Andrew Markham‚ Niki Trigoni and John Stankovic
In The Web Conference (WWW). 2019.
Simultaneous Localization and Mapping with Power Network 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.
- Deep Learning Based Inertial Tracking
- Machine Learning Systems
- Mobile and People-centric Systems and Sensing