Xiaoxuan Lu

Orcid: 0000-0002-3733-4480

Affiliations:
  • University of Edinburgh, UK
  • University of Oxford, UK (former)


According to our database1, Xiaoxuan Lu authored at least 96 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Robust Metric Localization in Autonomous Driving via Doppler Compensation With Single-Chip Radar.
IEEE Trans. Intell. Transp. Syst., January, 2024

2023
Orientation-Aware 3D SLAM in Alternating Magnetic Field from Powerlines.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings.
IEEE Robotics Autom. Lett., May, 2023

SenseFi: A library and benchmark on deep-learning-empowered WiFi human sensing.
Patterns, March, 2023

Human Parsing with Joint Learning for Dynamic mmWave Radar Point Cloud.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2023

CubeLearn: End-to-End Learning for Human Motion Recognition From Raw mmWave Radar Signals.
IEEE Internet Things J., 2023

GaitFi: Robust Device-Free Human Identification via WiFi and Vision Multimodal Learning.
IEEE Internet Things J., 2023

Differentiable Radio Frequency Ray Tracing for Millimeter-Wave Sensing.
CoRR, 2023

Multimodal Indoor Localization Using Crowdsourced Radio Maps.
CoRR, 2023

See Beyond Seeing: Robust 3D Object Detection from Point Clouds via Cross-Modal Hallucination.
CoRR, 2023

Moving Object Detection and Tracking with 4D Radar Point Cloud.
CoRR, 2023

Deep Learning for Visual Localization and Mapping: A Survey.
CoRR, 2023

Risk Controlled Image Retrieval.
CoRR, 2023

Robust Human Detection under Visual Degradation via Thermal and mmWave Radar Fusion.
CoRR, 2023

milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing.
CoRR, 2023

VL-Fields: Towards Language-Grounded Neural Implicit Spatial Representations.
CoRR, 2023

MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MetaWave: Attacking mmWave Sensing with Meta-material-enhanced Tags.
Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Conditions.
IROS, 2023

Feature-based Visual Odometry for Bronchoscopy: A Dataset and Benchmark.
IROS, 2023

Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Graph-Based Thermal-Inertial SLAM With Probabilistic Neural Networks.
IEEE Trans. Robotics, 2022

Self-Supervised Scene Flow Estimation With 4-D Automotive Radar.
IEEE Robotics Autom. Lett., 2022

Cross Vision-RF Gait Re-identification with Low-cost RGB-D Cameras and mmWave Radars.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Exploring Cross-Point Embeddings for 3D Dense Uncertainty Estimation.
CoRR, 2022

Deep Learning and Its Applications to WiFi Human Sensing: A Benchmark and A Tutorial.
CoRR, 2022

Self-Supervised Scene Flow Estimation with 4D Automotive Radar.
CoRR, 2022

Telesonar: Robocall Alarm System by Detecting Echo Channel and Breath Timing.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Pedestrian Liveness Detection Based on mmWave Radar and Camera Fusion.
Proceedings of the 19th Annual IEEE International Conference on Sensing, 2022

SpiralSpy: Exploring a Stealthy and Practical Covert Channel to Attack Air-gapped Computing Devices via mmWave Sensing.
Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

OdomBeyondVision: An Indoor Multi-modal Multi-platform Odometry Dataset Beyond the Visible Spectrum.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

STUN: Self-Teaching Uncertainty Estimation for Place Recognition.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Demo Abstract: 3D Simultaneous localization and Mapping with Power Network Electromagnetic Radiation.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

DC-Loc: Accurate Automotive Radar Based Metric Localization with Explicit Doppler Compensation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

AutoPlace: Robust Place Recognition with Single-chip Automotive Radar.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Multiagent Model-based Credit Assignment for Continuous Control.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2021

Deep Neural Network Based Inertial Odometry Using Low-Cost Inertial Measurement Units.
IEEE Trans. Mob. Comput., 2021

Accurate Automotive Radar Based Metric Localization with Explicit Doppler Compensation.
CoRR, 2021

Deep Odometry Systems on Edge with EKF-LoRa Backend for Real-Time Positioning in Adverse Environment.
CoRR, 2021

RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather.
CoRR, 2021

AutoPlace: Robust Place Recognition with Low-cost Single-chip Automotive Radar.
CoRR, 2021

Deep Inertial Odometry with Accurate IMU Preintegration.
CoRR, 2021

Human tracking and identification through a millimeter wave radar.
Ad Hoc Networks, 2021

Motion Tracklet Oriented 6-DoF Inertial Tracking Using Commodity Smartphones.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Can Image Style Transfer Save Automotive Radar?
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

3D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination.
IEEE Robotics Autom. Lett., 2020

Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference.
IEEE Internet Things J., 2020

3-D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar.
CoRR, 2020

Demo Abstract: Indoor Positioning System in Visually-Degraded Environments with Millimetre-Wave Radar and Inertial Sensors.
CoRR, 2020

A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence.
CoRR, 2020

milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion.
CoRR, 2020

Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference.
CoRR, 2020

Nowhere to Hide: Cross-modal Identity Leakage between Biometrics and Devices.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

Indoor positioning system in visually-degraded environments with millimetre-wave radar and inertial sensors: demo abstract.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

See through smoke: robust indoor mapping with low-cost mmWave radar.
Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020

Heart Rate Sensing with a Robot Mounted mmWave Radar.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

AtLoc: Attention Guided Camera Localization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Efficient Indoor Positioning with Visual Experiences via Lifelong Learning.
IEEE Trans. Mob. Comput., 2019

Semantic Place Understanding for Human-Robot Coexistence - Toward Intelligent Workplaces.
IEEE Trans. Hum. Mach. Syst., 2019

Autonomous Learning of Speaker Identity and WiFi Geofence From Noisy Sensor Data.
IEEE Internet Things J., 2019

SelectFusion: A Generic Framework to Selectively Learn Multisensory Fusion.
CoRR, 2019

Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor.
CoRR, 2019

Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues.
Proceedings of the World Wide Web Conference, 2019

HydraDoctor: real-time liquids intake monitoring by collaborative sensing.
Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019

iSCAN: automatic speaker adaptation via iterative cross-modality association.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

mID: Tracking and Identifying People with Millimeter Wave Radar.
Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

Selective Sensor Fusion for Neural Visual-Inertial Odometry.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

MotionTransformer: Transferring Neural Inertial Tracking between Domains.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Robustly inferring identity across digital and physical worlds.
PhD thesis, 2018

Transferring Physical Motion Between Domains for Neural Inertial Tracking.
CoRR, 2018

OxIOD: The Dataset for Deep Inertial Odometry.
CoRR, 2018

Automatic Face Recognition Adaptation via Ambient Wireless Identifiers.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

CommonSense: Collaborative learning of scene semantics by robots and humans.
Proceedings of the 1st International Workshop on Internet of People, 2018

Simultaneous Localization and Mapping with Power Network Electromagnetic Field.
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics.
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018

Learning 3D Scene Semantics and Structure From a Single Depth Image.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

IONet: Learning to Cure the Curse of Drift in Inertial Odometry.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Towards Self-supervised Face Labeling via Cross-modality Association.
Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017

VeriNet: User Verification on Smartwatches via Behavior Biometrics.
Proceedings of the First ACM Workshop on Mobile Crowdsensing Systems and Applications, 2017

SCAN: learning speaker identity from noisy sensor data.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

Leveraging User Activities and Mobile Robots for Semantic Mapping and User Localization.
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

2016
A Robust Indoor Positioning System Based on the Procrustes Analysis and Weighted Extreme Learning Machine.
IEEE Trans. Wirel. Commun., 2016

Robust Extreme Learning Machine With its Application to Indoor Positioning.
IEEE Trans. Cybern., 2016

BlueDetect: An iBeacon-Enabled Scheme for Accurate and Energy-Efficient Indoor-Outdoor Detection and Seamless Location-Based Service.
Sensors, 2016

Robust occupancy inference with commodity WiFi.
Proceedings of the 12th IEEE International Conference on Wireless and Mobile Computing, 2016

Standardizing location fingerprints across heterogeneous mobile devices for indoor localization.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2016

2015
A Fast and Precise Indoor Localization Algorithm Based on an Online Sequential Extreme Learning Machine.
Sensors, 2015

A mutual information based online access point selection strategy for WiFi indoor localization.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2014
An online sequential extreme learning machine approach to WiFi based indoor positioning.
Proceedings of the IEEE World Forum on Internet of Things, 2014

Robust extreme learning machine for regression problems with its application to wifi based indoor positioning system.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Extreme learning machine with dead zone and its application to WiFi based indoor positioning.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014


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