Selected Publications (Full list in DBLP)



Conference Papers


See Through Smoke: Robust Indoor Mapping with Low-cost mmWave Radar
Chris Xiaoxuan Lu‚ Stefano Rosa, Peijun Zhao, Bing Wang, Changhao Chen, John Stankovic, Niki Trigoni and Andrew Markham
ACM Conference on Mobile Systems, Applications, and Services (MobiSys), 2020.

Nowhere to Hide: Cross-modal Identity Leakage between Biometrics and Devices [ORAL]
Chris Xiaoxuan Lu‚ Yang Li, Yuanbo Xiangli and Zhengxiong Li
The Web Conference (WWW), 2020.

Heart-Rate Sensing With a Robot Mounted mmWave Radar
Peijun Zhao, Chris Xiaoxuan Lu*‚ Bing Wang, Changhao Chen, Linhai Xie, Mengyu Wang, Niki Trigoni and Andrew Markham
International Conference on Robotics and Automation (ICRA), 2020.

DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination [Fast Tracked to RA-L]
Muhamad Saputra, Pedro Gusmão, Chris Xiaoxuan Lu‚ Yasin Almalioglu and et al.
International Conference on Robotics and Automation (ICRA), 2020.

AtLoc: Attention Guided Camera Localization [ORAL]
Bing Wang, Changhao Chen, Chris Xiaoxuan Lu‚ Peijun Zhao, Niki Trigoni and Andrew Markham
AAAI Conference on Artificial Intelligence (AAAI), 2020

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
The Web Conference (WWW), 2019.

Selective Sensor Fusion for Neural Visual Inertial Odometry
Changhao Chen‚ Stefano Rosa‚ Yishu Miao‚ Chris Xiaoxuan Lu‚ Wei Wu, Andrew Markham and Niki Trigoni
International Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

mID: Tracking and Identifying People with Millimeter Wave Radar [Best Paper Runner-up]
Peijun Zhao, Chris Xiaoxuan Lu*‚ Jianan Wang, Changhao Chen, Wei Wang, Niki Trigoni and Andrew Markham
International Conference on Distributed Computing in Sensor Systems (DCOSS), 2019.

MotionTransformer: Transferring Neural Inertial Tracking Between Domains
Changhao Chen‚ Yishu Miao‚ Chris Xiaoxuan Lu‚ Linhai Xie‚ Phil Blunsom‚ Andrew Markham and Niki Trigoni
AAAI Conference on Artificial Intelligence (AAAI), 2019

Simultaneous Localization and Mapping with Power Network Electromagnetic Field
Chris Xiaoxuan Lu, Yang Li, Peijun Zhao, Changhao Chen, Lihai Xie, Hongkai Wen, Rui Tan and Niki Trigoni
International Conference on Mobile Computing and Networking (MobiCom), 2018

Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning
Chris Xiaoxuan Lu, Bowen Du, Hongkai Wen, Sen Wang, Andrew Markham, Ivan Martinovic, Yiran Shen and Niki Trigoni
International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2018

DeepAuth: In-situ Authentication for Smartwatches via Deeply Learned Behavioural Biometrics
Chris Xiaoxuan Lu, Bowen Du‚ Peijun Zhao‚ Hongkai Wen‚ Yiran Shen‚ Andrew Markham and Niki Trignoni
International Symposium on Wearable Computers (ISWC), 2018

IONet: Learning to Cure the Curse of Drift in Inertial Odometry [ORAL]
Changhao Chen‚ Chris Xiaoxuan Lu‚ Andrew Markham and Niki Trigoni
AAAI Conference on Artificial Intelligence (AAAI), 2018

SCAN: Learning Speaker Identity From Noisy Sensor Data
Chris Xiaoxuan Lu, Hongkai Wen, Sen Wang, Andrew Markham and Niki Trigoni
International Conference on Information Processing in Sensor Networks (IPSN), 2017

Robust Occupancy Inference with Commodity WiFi
Chris Xiaoxuan Lu‚ Hongkai Wen‚ Han Zou‚ Hao Jiang‚ Lihua Xie and Niki Trigoni
International Conference on Wireless and Mobile Computing‚ Networking and Communications (WiMob). 2016.



Journal Papers


Deep Neural Network Based Inertial Odometry Using Low-cost Inertial Measurement Units
Changhao Chen, Chris Xiaoxuan Lu*‚ Johan Wahlstrom, Andrew Markham and Niki Trigoni
IEEE Transactions on Mobile Computing (TMC), 2020

Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference
Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu*‚ Wei Wang, Andrew Markham and Niki Trigoni
IEEE Internet of Things Journal (IoT-J), 2020

DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination
Muhamad Saputra, Pedro Gusmão, Chris Xiaoxuan Lu‚ Yasin Almalioglu and et al.
IEEE Robotics and Automation Letters (RA-L), 2020.

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
IEEE Internet of Things Journal (IoT-J), 2019

Efficient Indoor Positioning with Visual Experiences via Lifelong Learning
Hongkai Wen‚ Ronald Clark‚ Sen Wang‚ Chris Xiaoxuan Lu‚ Bowen Du‚ Wen Hu and Niki Trigoni
IEEE Transactions on Mobile Computing (TMC), 2018

Semantic Place Understanding for Human−Robot Coexistence − Towards Intelligent Workplaces
Stefano Rosa‚ Andrea Patanè‚ Chris Xiaoxuan Lu and Niki Trigoni
IEEE Transactions on Human−Machine Systems (THMS), 2018

A Robust Indoor Positioning System Based on the Procrustes Analysis and Weighted Extreme Learning Machine
Han Zou‚ Baoqi Huang‚ Chris Xiaoxuan Lu‚ Hao Jiang and Lihua Xie
IEEE Transactions on Wireless Communications (TWC), 2016

Robust Extreme Learning Machine With its Application to Indoor Positioning
Chris Xiaoxuan Lu, Han Zou‚ Hongming Zhou‚ Lihua Xie and Guang−Bin Huang
IEEE Transactions on Cybernetics, 2016