Chris Xiaoxuan Lu
I am a final-year PhD candidate post-doctoral researcher at Oxford University. I earned my PhD degree in 2019 from Oxford University, funded by Google DeepMind. Prior to joining Oxford, I received my MEng degree in 2015 from Nanyang Technological University (NTU).
Broadly, my research interests revolve around the systems and modeling challenges when computers collect and reason about data in the physical world. My work looks to design and implement pervasive and trustworthy systems that can reliably work in the wild with limited human guidance. To this end, I argue for a holistic approach by leveraging tactics from machine learning, wireless communications, embedded systems, security, ubiquitous computing and robotics, and design novel methods at the boundaries of these areas.
Find more about me on my personal homepage.
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