publications

Only recent publications are listed here. The full list can be found in my DBLP.

preprints

  1. Preprint
    Self-Supervised Scene Flow Estimation with 4D Automotive Radar
    Ding, Fangqiang, Pan, Zhijun, Deng, Yimin, Deng, Jianning, and Lu, Chris Xiaoxuan
    CoRR 2022
  2. Preprint
    STUN: Self-Teaching Uncertainty Estimation for Place Recognition
    Cai, Kaiwen, Lu, Chris Xiaoxuan, and Huang, Xiaowei
    CoRR 2022
  3. Preprint
    CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals
    Zhao, Peijun, Lu, Chris Xiaoxuan, Wang, Bing, Trigoni, Niki, and Markham, Andrew
    CoRR 2021
  4. Preprint
    RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather
    Wang, Jialu, Saputra, Muhamad Risqi U., Lu, Chris Xiaoxuan, Trigon, Niki, and Markham, Andrew
    CoRR 2021
  5. Preprint
    A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence
    Chen, Changhao, Wang, Bing, Lu, Chris Xiaoxuan, Trigoni, Niki, and Markham, Andrew
    CoRR 2020

2022

  1. T-RO
    Graph-Based Thermal–Inertial SLAM With Probabilistic Neural Networks
    Saputra, Muhamad Risqi U., Lu, Chris Xiaoxuan, Gusmao, Pedro Porto B., Wang, Bing, Markham, Andrew, and Trigoni, Niki
    IEEE Transactions on Robotics 2022
  2. AAMAS’22
    Multiagent Model-based Credit Assignment for Continuous Control
    Han, Dongge, Lu, Chris Xiaoxuan, Michalak, Tomasz P., and Wooldridge, Michael
    In The 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2022
  3. ICRA’22
    AutoPlace: Robust Place Recognition with Single-chip Automotive Radar
    Cai, Kaiwen, Wang, Bing, and Lu, Chris Xiaoxuan
    In International Conference on Robotics and Automation (ICRA) 2022
  4. ICRA’22
    DC-Loc: Accurate Automotive Radar Based Metric Localization with Explicit Doppler Compensation
    Gao, Pengen, Zhang, Shengkai, Wang, Wei, and Lu, Chris Xiaoxuan
    In International Conference on Robotics and Automation (ICRA) 2022
  5. NDSS’22
    SpiralSpy: Exploring a Stealthy and Practical Covert Channel to Attack Air-gapped Computing Devices via mmWave Sensing
    Li, Zhengxiong, Chen, Baicheng, Chen, Xingyu, Li, Huining, Xu, Chenhan, Lu, Chris Xiaoxuan, Lin, Feng, Ren, Kui, and Xu, Wenyao
    In The Network and Distributed System Security Symposium (NDSS) 2022

2021

  1. AdHoc
    Human tracking and identification through a millimeter wave radar
    Zhao, Peijun, Lu, Chris Xiaoxuan, Wang, Jianan, Chen, Changhao, Wang, Wei, Trigoni, Niki, and Markham, Andrew
    Ad Hoc Networks 2021
  2. TNNLS
    DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction
    Chen, Changhao, Lu, Chris Xiaoxuan, Wang, Bing, Trigoni, Niki, and Markham, Andrew
    IEEE Trans. Neural Networks Learn. Syst. 2021
  3. TMC
    Deep Neural Network Based Inertial Odometry Using Low-Cost Inertial Measurement Units
    Chen, Changhao, Lu, Chris Xiaoxuan, Wahlström, Johan, Markham, Andrew, and Trigoni, Niki
    IEEE Trans. Mob. Comput. 2021
  4. ICCV’21
    P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching
    Wang, Bing, Chen, Changhao, Cui, Zhaopeng, Qin, Jie, Lu, Chris Xiaoxuan, Yu, Zhengdi, Zhao, Peijun, Dong, Zhen, Zhu, Fan, Trigoni, Niki, and Markham, Andrew
    In The IEEE/CVF International Conference on Computer Vision (ICCV) 2021
  5. ICRA’21
    3D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar
    Zhao, Peijun, Lu, Chris Xiaoxuan, Wang, Bing, Trigoni, Niki, and Markham, Andrew
    In IEEE International Conference on Robotics and Automation, ICRA 2021

2020

  1. IoT-J
    Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference
    Chen, Changhao, Zhao, Peijun, Lu, Chris Xiaoxuan, Wang, Wei, Markham, Andrew, and Trigoni, Niki
    IEEE Internet Things J. 2020
  2. RA-L
    DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination
    Saputra, Muhamad Risqi U., Trigoni, Niki, Gusmao, Pedro P. B., Lu, Chris Xiaoxuan, Almalioglu, Yasin, Rosa, Stefano, Chen, Changhao, Wahlström, Johan, Wang, Wei, and Markham, Andrew
    IEEE Robotics Autom. Lett. 2020
  3. AAAI’20
    AtLoc: Attention Guided Camera Localization
    Wang, Bing, Chen, Changhao, Lu, Chris Xiaoxuan, Zhao, Peijun, Trigoni, Niki, and Markham, Andrew
    In The Thirty-Fourth AAAI Conference on Artificial Intelligence 2020
  4. ICRA’20
    Heart Rate Sensing with a Robot Mounted mmWave Radar
    Zhao, Peijun, Lu, Chris Xiaoxuan, Wang, Bing, Chen, Changhao, Xie, Linhai, Wang, Mengyu, Trigoni, Niki, and Markham, Andrew
    In IEEE International Conference on Robotics and Automation, ICRA 2020
  5. MobiSys’20
    See through smoke: robust indoor mapping with low-cost mmWave radar
    Lu, Chris Xiaoxuan, Rosa, Stefano, Zhao, Peijun, Wang, Bing, Chen, Changhao, Stankovic, John A., Trigoni, Niki, and Markham, Andrew
    In The 18th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys) 2020
  6. SenSys’20
    milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion
    Lu, Chris Xiaoxuan, Saputra, Muhamad Risqi U., Zhao, Peijun, Almalioglu, Yasin, Gusmao, Pedro P. B., Chen, Changhao, Sun, Ke, Trigoni, Niki, and Markham, Andrew
    In The 18th ACM Conference on Embedded Networked Sensor Systems (SenSys) 2020
  7. WWW’20
    Nowhere to Hide: Cross-modal Identity Leakage between Biometrics and Devices
    Lu, Chris Xiaoxuan, Li, Yang, Xiangli, Yuanbo, and Li, Zhengxiong
    In The Web Conference (WWW) 2020

2019

  1. IoT-J
    Autonomous Learning of Speaker Identity and WiFi Geofence From Noisy Sensor Data
    Lu, Chris Xiaoxuan, Xiangli, Yuanbo, Zhao, Peijun, Chen, Changhao, Trigoni, Niki, and Markham, Andrew
    IEEE Internet Things J. 2019
  2. THMS
    Semantic Place Understanding for Human-Robot Coexistence - Toward Intelligent Workplaces
    Rosa, Stefano, Patane, Andrea, Lu, Chris Xiaoxuan, and Trigoni, Niki
    IEEE Trans. Hum. Mach. Syst. 2019
  3. TMC
    Efficient Indoor Positioning with Visual Experiences via Lifelong Learning
    Wen, Hongkai, Clark, Ronald, Wang, Sen, Lu, Chris Xiaoxuan, Du, Bowen, Hu, Wen, and Trigoni, Niki
    IEEE Trans. Mob. Comput. 2019
  4. AAAI’19
    MotionTransformer: Transferring Neural Inertial Tracking between Domains
    Chen, Changhao, Miao, Yishu, Lu, Chris Xiaoxuan, Xie, Linhai, Blunsom, Phil, Markham, Andrew, and Trigoni, Niki
    In The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019
  5. CVPR’19
    Selective Sensor Fusion for Neural Visual-Inertial Odometry
    Chen, Changhao, Rosa, Stefano, Miao, Yishu, Lu, Chris Xiaoxuan, Wu, Wei, Markham, Andrew, and Trigoni, Niki
    In IEEE Conference on Computer Vision and Pattern Recognition 2019
  6. DCOSS’19
    mID: Tracking and Identifying People with Millimeter Wave Radar (Best Paper Runner-up)
    Zhao, Peijun, Lu, Chris Xiaoxuan, Wang, Jianan, Chen, Changhao, Wang, Wei, Trigoni, Niki, and Markham, Andrew
    In 15th International Conference on Distributed Computing in Sensor Systems, DCOSS 2019
  7. WWW’19
    Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues
    Lu, Chris Xiaoxuan, Kan, Xuan, Du, Bowen, Chen, Changhao, Wen, Hongkai, Markham, Andrew, Trigoni, Niki, and Stankovic, John A.
    In The World Wide Web Conference 2019

2018

  1. MobiCom’18
    Simultaneous Localization and Mapping with Power Network Electromagnetic Field
    Lu, Chris Xiaoxuan, Li, Yang, Zhao, Peijun, Chen, Changhao, Xie, Linhai, Wen, Hongkai, Tan, Rui, and Trigoni, Niki
    In The 24th Annual International Conference on Mobile Computing and Networking (MobiCom) 2018
  2. ISWC’18
    Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics
    Lu, Chris Xiaoxuan, Du, Bowen, Zhao, Peijun, Wen, Hongkai, Shen, Yiran, Markham, Andrew, and Trigoni, Niki
    In The 2018 ACM International Symposium on Wearable Computers ISWC 2018
  3. AAAI’18
    IONet: Learning to Cure the Curse of Drift in Inertial Odometry
    Chen, Changhao, Lu, Chris Xiaoxuan, Markham, Andrew, and Trigoni, Niki
    In The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI) 2018

2017

  1. UbiComp’18
    Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning
    Lu, Chris Xiaoxuan, Du, Bowen, Wen, Hongkai, Wang, Sen, Markham, Andrew, Martinovic, Ivan, Shen, Yiran, and Trigoni, Niki
    Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2017
  2. IPSN’17
    SCAN: learning speaker identity from noisy sensor data
    Lu, Chris Xiaoxuan, Wen, Hongkai, Wang, Sen, Markham, Andrew, and Trigoni, Niki
    In The 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2017

2016

  1. TWC
    A Robust Indoor Positioning System Based on the Procrustes Analysis and Weighted Extreme Learning Machine
    Zou, Han, Huang, Baoqi, Lu, Chris Xiaoxuan, Jiang, Hao, and Xie, Lihua
    IEEE Trans. Wirel. Commun. 2016
  2. TCY-B
    Robust Extreme Learning Machine With its Application to Indoor Positioning
    Lu, Xiaoxuan, Zou, Han, Zhou, Hongming, Xie, Lihua, and Huang, Guang-Bin
    IEEE Trans. Cybern. 2016
  3. WiMob’16
    Robust occupancy inference with commodity WiFi
    Lu, Xiaoxuan, Wen, Hongkai, Zou, Han, Jiang, Hao, Xie, Lihua, and Trigoni, Niki
    In 12th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2016