Extreme learning machine with dead zone and its application to WiFi based indoor positioning. - Xiaoxuan Lu 001; Chengpu Yu; Han Zou; Hao Jiang 008; Lihua Xie 001 (ICARCV, 2014)

Robust extreme learning machine for regression problems with its application to wifi based indoor positioning system. - Xiaoxuan Lu 001; Yushen Long; Han Zou; Chengpu Yu; Lihua Xie 001 (MLSP, 2014)

An online sequential extreme learning machine approach to WiFi based indoor positioning. - Han Zou; Hao Jiang 008; Xiaoxuan Lu 001; Lihua Xie 001 (WF-IoT, 2014)

A mutual information based online access point selection strategy for WiFi indoor localization. - Han Zou; Yiwen Luo; Xiaoxuan Lu 001; Hao Jiang 008; Lihua Xie 001 (CASE, 2015)

A Fast and Precise Indoor Localization Algorithm Based on an Online Sequential Extreme Learning Machine. - Han Zou; Xiaoxuan Lu 001; Hao Jiang 008; Lihua Xie 001 (Sensors, 2015)

Standardizing location fingerprints across heterogeneous mobile devices for indoor localization. - Han Zou; Baoqi Huang; Xiaoxuan Lu 001; Hao Jiang 008; Lihua Xie 001 (WCNC, 2016)

Robust occupancy inference with commodity WiFi. - Xiaoxuan Lu 001; Hongkai Wen 001; Han Zou; Hao Jiang 008; Lihua Xie 001; Niki Trigoni (WiMob, 2016)

BlueDetect: An iBeacon-Enabled Scheme for Accurate and Energy-Efficient Indoor-Outdoor Detection and Seamless Location-Based Service. - Han Zou; Hao Jiang 008; Yiwen Luo; Jianjie Zhu; Xiaoxuan Lu 001; Lihua Xie 001 (Sensors, 2016)

Robust Extreme Learning Machine With its Application to Indoor Positioning. - Xiaoxuan Lu 001; Han Zou; Hongming Zhou; Lihua Xie 001; Guang-Bin Huang (IEEE Trans. Cybern., 2016)

A Robust Indoor Positioning System Based on the Procrustes Analysis and Weighted Extreme Learning Machine. - Han Zou; Baoqi Huang; Xiaoxuan Lu 001; Hao Jiang 008; Lihua Xie 001 (IEEE Trans. Wirel. Commun., 2016)

Leveraging User Activities and Mobile Robots for Semantic Mapping and User Localization. - Stefano Rosa; Xiaoxuan Lu 001; Hongkai Wen 001; Niki Trigoni (HRI (Companion), 2017)

SCAN: learning speaker identity from noisy sensor data. - Chris Xiaoxuan Lu; Hongkai Wen 001; Sen Wang 002; Andrew Markham; Niki Trigoni (IPSN, 2017)

VeriNet: User Verification on Smartwatches via Behavior Biometrics. - Chris Xiaoxuan Lu; Bowen Du 002; Xuan Kan; Hongkai Wen 001; Andrew Markham; Niki Trigoni (CrowdSenSys@SenSys, 2017)

Towards Self-supervised Face Labeling via Cross-modality Association. - Chris Xiaoxuan Lu; Xuan Kan; Stefano Rosa; Bowen Du 002; Hongkai Wen 001; Andrew Markham; Niki Trigoni (SenSys, 2017)

Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning. - Chris Xiaoxuan Lu; Bowen Du 002; Hongkai Wen 001; Sen Wang 002; Andrew Markham; Ivan Martinovic; Yiran Shen 001; Niki Trigoni (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

IONet: Learning to Cure the Curse of Drift in Inertial Odometry. - Changhao Chen; Xiaoxuan Lu 001; Andrew Markham; Niki Trigoni (AAAI, 2018)

Learning 3D Scene Semantics and Structure From a Single Depth Image. - Bo Yang 027; Zihang Lai; Xiaoxuan Lu 001; Shuyu Lin; Hongkai Wen 001; Andrew Markham; Niki Trigoni (CVPR Workshops, 2018)

Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics. - Chris Xiaoxuan Lu; Bowen Du 002; Peijun Zhao; Hongkai Wen 001; Yiran Shen 001; Andrew Markham; Niki Trigoni (UbiComp, 2018)

Simultaneous Localization and Mapping with Power Network Electromagnetic Field. - Chris Xiaoxuan Lu; Yang Li 147; Peijun Zhao; Changhao Chen; Linhai Xie; Hongkai Wen 001; Rui Tan 001; Niki Trigoni (MobiCom, 2018)

CommonSense: Collaborative learning of scene semantics by robots and humans. - Stefano Rosa; Andrea Patanè; Xiaoxuan Lu 001; Niki Trigoni (IoPARTS@MobiSys, 2018)

Automatic Face Recognition Adaptation via Ambient Wireless Identifiers. - Chris Xiaoxuan Lu; Peijun Zhao; Bowen Du 002; Hongkai Wen 001; Andrew Markham; Stefano Rosa; Niki Trigoni (SenSys, 2018)

OxIOD: The Dataset for Deep Inertial Odometry. - Changhao Chen; Peijun Zhao; Chris Xiaoxuan Lu; Wei Wang 226; Andrew Markham; Niki Trigoni (CoRR, 2018)

Transferring Physical Motion Between Domains for Neural Inertial Tracking. - Changhao Chen; Yishu Miao; Chris Xiaoxuan Lu; Phil Blunsom; Andrew Markham; Niki Trigoni (CoRR, 2018)

Robustly inferring identity across digital and physical worlds. - Xiaoxuan Lu 001 (2018)

MotionTransformer: Transferring Neural Inertial Tracking between Domains. - Changhao Chen; Yishu Miao; Chris Xiaoxuan Lu; Linhai Xie; Phil Blunsom; Andrew Markham; Niki Trigoni (AAAI, 2019)

Selective Sensor Fusion for Neural Visual-Inertial Odometry. - Changhao Chen; Stefano Rosa; Yishu Miao; Chris Xiaoxuan Lu; Wei Wu; Andrew Markham; Niki Trigoni (CVPR, 2019)

mID: Tracking and Identifying People with Millimeter Wave Radar. - Peijun Zhao; Chris Xiaoxuan Lu; Jianan Wang; Changhao Chen; Wei Wang 226; Niki Trigoni; Andrew Markham (DCOSS, 2019)

iSCAN: automatic speaker adaptation via iterative cross-modality association. - Yuanbo Xiangli; Chris Xiaoxuan Lu; Peijun Zhao; Changhao Chen; Andrew Markham (UbiComp/ISWC Adjunct, 2019)

HydraDoctor: real-time liquids intake monitoring by collaborative sensing. - Bowen Du 002; Chris Xiaoxuan Lu; Xuan Kan; Kai Wu; Man Luo 001; Jianfeng Hou; Kai Li 002; Salil S. Kanhere; Yiran Shen 001; Hongkai Wen 001 (ICDCN, 2019)

Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues. - Chris Xiaoxuan Lu; Xuan Kan; Bowen Du 002; Changhao Chen; Hongkai Wen 001; Andrew Markham; Niki Trigoni; John A. Stankovic (WWW, 2019)

Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor. - Yasin Almalioglu; Mehmet Turan; Chris Xiaoxuan Lu; Niki Trigoni; Andrew Markham (CoRR, 2019)

SelectFusion: A Generic Framework to Selectively Learn Multisensory Fusion. - Changhao Chen; Stefano Rosa; Chris Xiaoxuan Lu; Niki Trigoni; Andrew Markham (CoRR, 2019)

Autonomous Learning of Speaker Identity and WiFi Geofence From Noisy Sensor Data. - Chris Xiaoxuan Lu; Yuanbo Xiangli; Peijun Zhao; Changhao Chen; Niki Trigoni; Andrew Markham (IEEE Internet Things J., 2019)

Semantic Place Understanding for Human-Robot Coexistence - Toward Intelligent Workplaces. - Stefano Rosa; Andrea Patane; Chris Xiaoxuan Lu; Niki Trigoni (IEEE Trans. Hum. Mach. Syst., 2019)

Efficient Indoor Positioning with Visual Experiences via Lifelong Learning. - Hongkai Wen 001; Ronald Clark; Sen Wang 002; Xiaoxuan Lu 001; Bowen Du 002; Wen Hu 001; Niki Trigoni (IEEE Trans. Mob. Comput., 2019)

AtLoc: Attention Guided Camera Localization. - Bing Wang 013; Changhao Chen; Chris Xiaoxuan Lu; Peijun Zhao; Niki Trigoni; Andrew Markham (AAAI, 2020)

Heart Rate Sensing with a Robot Mounted mmWave Radar. - Peijun Zhao; Chris Xiaoxuan Lu; Bing Wang 013; Changhao Chen; Linhai Xie; Mengyu Wang; Niki Trigoni; Andrew Markham (ICRA, 2020)

See through smoke: robust indoor mapping with low-cost mmWave radar. - Chris Xiaoxuan Lu; Stefano Rosa; Peijun Zhao; Bing Wang 013; Changhao Chen; John A. Stankovic; Niki Trigoni; Andrew Markham (MobiSys, 2020)

Indoor positioning system in visually-degraded environments with millimetre-wave radar and inertial sensors: demo abstract. - Zhuangzhuang Dai; Muhamad Risqi Utama Saputra; Chris Xiaoxuan Lu; Niki Trigoni; Andrew Markham (SenSys, 2020)

milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion. - Chris Xiaoxuan Lu; Muhamad Risqi Utama Saputra; Peijun Zhao; Yasin Almalioglu; Pedro P. B. de Gusmao; Changhao Chen; Ke Sun 012; Niki Trigoni; Andrew Markham (SenSys, 2020)

Nowhere to Hide: Cross-modal Identity Leakage between Biometrics and Devices. - Chris Xiaoxuan Lu; Yang Li 073; Yuanbo Xiangli; Zhengxiong Li (WWW, 2020)

Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference. - Changhao Chen; Peijun Zhao; Chris Xiaoxuan Lu; Wei Wang 226; Andrew Markham; Niki Trigoni (CoRR, 2020)

milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion. - Chris Xiaoxuan Lu; Muhamad Risqi Utama Saputra; Peijun Zhao; Yasin Almalioglu; Pedro P. B. de Gusmao; Changhao Chen; Ke Sun 012; Niki Trigoni; Andrew Markham (CoRR, 2020)

A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence. - Changhao Chen; Bing Wang 013; Chris Xiaoxuan Lu; Niki Trigoni; Andrew Markham (CoRR, 2020)

Demo Abstract: Indoor Positioning System in Visually-Degraded Environments with Millimetre-Wave Radar and Inertial Sensors. - Zhuangzhuang Dai; Muhamad Risqi Utama Saputra; Chris Xiaoxuan Lu; Niki Trigoni; Andrew Markham (CoRR, 2020)

3-D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar. - Peijun Zhao; Chris Xiaoxuan Lu; Bing Wang 013; Niki Trigoni; Andrew Markham (CoRR, 2020)

Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference. - Changhao Chen; Peijun Zhao; Chris Xiaoxuan Lu; Wei Wang 226; Andrew Markham; Niki Trigoni (IEEE Internet Things J., 2020)

DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination. - Muhamad Risqi Utama Saputra; Niki Trigoni; Pedro P. B. de Gusmao; Chris Xiaoxuan Lu; Yasin Almalioglu; Stefano Rosa; Changhao Chen; Johan Wahlström; Wei Wang 226; Andrew Markham (IEEE Robotics Autom. Lett., 2020)

P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching. - Bing Wang 013; Changhao Chen; Zhaopeng Cui; Jie Qin; Chris Xiaoxuan Lu; Zhengdi Yu; Peijun Zhao; Zhen Dong 005; Fan Zhu 001; Niki Trigoni; Andrew Markham (ICCV, 2021)

3D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar. - Peijun Zhao; Chris Xiaoxuan Lu; Bing Wang 013; Niki Trigoni; Andrew Markham (ICRA, 2021)

Can Image Style Transfer Save Automotive Radar? - Jianning Deng; Kaiwen Cai; Chris Xiaoxuan Lu (SenSys, 2021)

Motion Tracklet Oriented 6-DoF Inertial Tracking Using Commodity Smartphones. - Peize Li; Chris Xiaoxuan Lu (SenSys, 2021)

Human tracking and identification through a millimeter wave radar. - Peijun Zhao; Chris Xiaoxuan Lu; Jianan Wang; Changhao Chen; Wei Wang 226; Niki Trigoni; Andrew Markham (Ad Hoc Networks, 2021)

Deep Inertial Odometry with Accurate IMU Preintegration. - Rooholla Khorrambakht; Chris Xiaoxuan Lu; Hamed Damirchi; Zhenghua Chen; Zhengguo Li (CoRR, 2021)

AutoPlace: Robust Place Recognition with Low-cost Single-chip Automotive Radar. - Kaiwen Cai; Bing Wang 013; Chris Xiaoxuan Lu (CoRR, 2021)

RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather. - Jialu Wang; Muhamad Risqi Utama Saputra; Chris Xiaoxuan Lu; Niki Trigon; Andrew Markham (CoRR, 2021)

Deep Odometry Systems on Edge with EKF-LoRa Backend for Real-Time Positioning in Adverse Environment. - Zhuangzhuang Dai; Muhamad Risqi Utama Saputra; Chris Xiaoxuan Lu; Andrew Markham; Niki Trigoni (CoRR, 2021)

Accurate Automotive Radar Based Metric Localization with Explicit Doppler Compensation. - Pengen Gao; Shengkai Zhang; Wei Wang 050; Chris Xiaoxuan Lu (CoRR, 2021)

Deep Neural Network Based Inertial Odometry Using Low-Cost Inertial Measurement Units. - Changhao Chen; Chris Xiaoxuan Lu; Johan Wahlström; Andrew Markham; Niki Trigoni (IEEE Trans. Mob. Comput., 2021)

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction. - Changhao Chen; Chris Xiaoxuan Lu; Bing Wang 013; Niki Trigoni; Andrew Markham (IEEE Trans. Neural Networks Learn. Syst., 2021)

Multiagent Model-based Credit Assignment for Continuous Control. - Dongge Han; Chris Xiaoxuan Lu; Tomasz P. Michalak; Michael J. Wooldridge (AAMAS, 2022)

AutoPlace: Robust Place Recognition with Single-chip Automotive Radar. - Kaiwen Cai; Bing Wang 013; Chris Xiaoxuan Lu (ICRA, 2022)

DC-Loc: Accurate Automotive Radar Based Metric Localization with Explicit Doppler Compensation. - Pengen Gao; Shengkai Zhang; Wei Wang 050; Chris Xiaoxuan Lu (ICRA, 2022)

Demo Abstract: 3D Simultaneous localization and Mapping with Power Network Electromagnetic Radiation. - Rongrong Wang; Zhenyu Yan 002; Yuting Wu; Rui Tan 001; Chris Xiaoxuan Lu (IPSN, 2022)

STUN: Self-Teaching Uncertainty Estimation for Place Recognition. - Kaiwen Cai; Chris Xiaoxuan Lu; Xiaowei Huang 001 (IROS, 2022)

OdomBeyondVision: An Indoor Multi-modal Multi-platform Odometry Dataset Beyond the Visible Spectrum. - Peize Li; Kaiwen Cai; Muhamad Risqi Utama Saputra; Zhuangzhuang Dai; Chris Xiaoxuan Lu (IROS, 2022)

SpiralSpy: Exploring a Stealthy and Practical Covert Channel to Attack Air-gapped Computing Devices via mmWave Sensing. - Zhengxiong Li; Baicheng Chen; Xingyu Chen; Huining Li; Chenhan Xu; Feng Lin 004; Chris Xiaoxuan Lu; Kui Ren 001; Wenyao Xu (NDSS, 2022)

Pedestrian Liveness Detection Based on mmWave Radar and Camera Fusion. - Hao Li; Ruofeng Liu; Shuai Wang 008; Wenchao Jiang; Chris Xiaoxuan Lu (SECON, 2022)

Telesonar: Robocall Alarm System by Detecting Echo Channel and Breath Timing. - Zhenyu Yan 002; Rui Tan 001; Qun Song 001; Chris Xiaoxuan Lu (SenSys, 2022)

Self-Supervised Scene Flow Estimation with 4D Automotive Radar. - Fangqiang Ding; Zhijun Pan; Yimin Deng; Jianning Deng; Chris Xiaoxuan Lu (CoRR, 2022)

Deep Learning and Its Applications to WiFi Human Sensing: A Benchmark and A Tutorial. - Jianfei Yang; Xinyan Chen; Dazhuo Wang; Han Zou; Chris Xiaoxuan Lu; Sumei Sun; Lihua Xie 001 (CoRR, 2022)

Exploring Cross-Point Embeddings for 3D Dense Uncertainty Estimation. - Kaiwen Cai; Chris Xiaoxuan Lu; Xiaowei Huang 001 (CoRR, 2022)

Cross Vision-RF Gait Re-identification with Low-cost RGB-D Cameras and mmWave Radars. - Dongjiang Cao; Ruofeng Liu; Hao Li; Shuai Wang 008; Wenchao Jiang; Chris Xiaoxuan Lu (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Self-Supervised Scene Flow Estimation With 4-D Automotive Radar. - Fangqiang Ding; Zhijun Pan; Yimin Deng; Jianning Deng; Chris Xiaoxuan Lu (IEEE Robotics Autom. Lett., 2022)

Graph-Based Thermal-Inertial SLAM With Probabilistic Neural Networks. - Muhamad Risqi Utama Saputra; Chris Xiaoxuan Lu; Pedro Porto Buarque de Gusmão; Bing Wang 013; Andrew Markham; Niki Trigoni (IEEE Trans. Robotics, 2022)

Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision. - Fangqiang Ding; Andras Palffy; Dariu M. Gavrila; Chris Xiaoxuan Lu (CVPR, 2023)

Robust Human Detection under Visual Degradation via Thermal and mmWave Radar Fusion. - Kaiwen Cai; Qiyue Xia; Peize Li; Chris Xiaoxuan Lu; John A. Stankovic (EWSN, 2023)

Feature-based Visual Odometry for Bronchoscopy: A Dataset and Benchmark. - Jianning Deng; Peize Li; Kevin Dhaliwal; Chris Xiaoxuan Lu; Mohsen Khadem (IROS, 2023)

RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Conditions. - Jialu Wang; Muhamad Risqi Utama Saputra; Chris Xiaoxuan Lu; Niki Trigoni; Andrew Markham (IROS, 2023)

MetaWave: Attacking mmWave Sensing with Meta-material-enhanced Tags. - Xingyu Chen; Zhengxiong Li; Baicheng Chen; Yi Zhu 012; Chris Xiaoxuan Lu; Zhengyu Peng; Feng Lin 004; Wenyao Xu; Kui Ren 001; Chunming Qiao (NDSS, 2023)

MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing. - Jianfei Yang; He Huang; Yunjiao Zhou; Xinyan Chen; Yuecong Xu; Shenghai Yuan; Han Zou; Chris Xiaoxuan Lu; Lihua Xie 001 (NeurIPS, 2023)

Poster Abstract: Multimodal Indoor Localization Using Crowdsourced Radio Maps. - Xiangyu Wen; Zhaoguang Yi; Francisco Zampella; Firas Alsehly; Chris Xiaoxuan Lu (SenSys, 2023)

VL-Fields: Towards Language-Grounded Neural Implicit Spatial Representations. - Nikolaos Tsagkas; Oisin Mac Aodha; Chris Xiaoxuan Lu (CoRR, 2023)

Risk Controlled Image Retrieval. - Kaiwen Cai; Chris Xiaoxuan Lu; Xingyu Zhao 001; Xiaowei Huang 001 (CoRR, 2023)

Moving Object Detection and Tracking with 4D Radar Point Cloud. - Zhijun Pan; Fangqiang Ding; Hantao Zhong; Chris Xiaoxuan Lu (CoRR, 2023)

See Beyond Seeing: Robust 3D Object Detection from Point Clouds via Cross-Modal Hallucination. - Jianning Deng; Gabriel Chan; Hantao Zhong; Chris Xiaoxuan Lu (CoRR, 2023)

Differentiable Radio Frequency Ray Tracing for Millimeter-Wave Sensing. - Xingyu Chen; Xinyu Zhang 003; Qiyue Xia; Xinmin Fang; Chris Xiaoxuan Lu; Zhengxiong Li (CoRR, 2023)

GaitFi: Robust Device-Free Human Identification via WiFi and Vision Multimodal Learning. - Lang Deng; Jianfei Yang; Shenghai Yuan; Han Zou; Chris Xiaoxuan Lu; Lihua Xie 001 (IEEE Internet Things J., 2023)

CubeLearn: End-to-End Learning for Human Motion Recognition From Raw mmWave Radar Signals. - Peijun Zhao; Chris Xiaoxuan Lu; Bing Wang 013; Niki Trigoni; Andrew Markham (IEEE Internet Things J., 2023)

Human Parsing with Joint Learning for Dynamic mmWave Radar Point Cloud. - Shuai Wang 008; Dongjiang Cao; Ruofeng Liu; Wenchao Jiang; Tianshun Yao; Chris Xiaoxuan Lu (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

SenseFi: A library and benchmark on deep-learning-empowered WiFi human sensing. - Jianfei Yang; Xinyan Chen; Han Zou; Chris Xiaoxuan Lu; Dazhuo Wang; Sumei Sun; Lihua Xie 001 (Patterns, 2023)

Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings. - Kaiwen Cai; Chris Xiaoxuan Lu; Xiaowei Huang 001 (IEEE Robotics Autom. Lett., 2023)

Orientation-Aware 3D SLAM in Alternating Magnetic Field from Powerlines. - Rongrong Wang; Rui Tan 001; Zhenyu Yan 002; Chris Xiaoxuan Lu (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Self-adapting Large Visual-Language Models to Edge Devices Across Visual Modalities. - Kaiwen Cai; Zhekai Duan; Gaowen Liu; Charles Fleming; Chris Xiaoxuan Lu (ECCV (28), 2024)

milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing. - Fangqiang Ding; Zhen Luo; Peijun Zhao; Chris Xiaoxuan Lu (ECCV (24), 2024)

Robust 3D Object Detection from LiDAR-Radar Point Clouds via Cross-Modal Feature Augmentation. - Jianning Deng; Gabriel Chan; Hantao Zhong; Chris Xiaoxuan Lu (ICRA, 2024)

RaTrack: Moving Object Detection and Tracking with 4D Radar Point Cloud. - Zhijun Pan; Fangqiang Ding; Hantao Zhong; Chris Xiaoxuan Lu (ICRA, 2024)

Multimodal Indoor Localization Using Crowdsourced Radio Maps. - Zhaoguang Yi; Xiangyu Wen; Qiyue Xia; Peize Li; Francisco Zampella; Firas Alsehly; Chris Xiaoxuan Lu (ICRA, 2024)

Click to Grasp: Zero-Shot Precise Manipulation via Visual Diffusion Descriptors. - Nikolaos Tsagkas; Jack Rome; Subramanian Ramamoorthy; Oisin Mac Aodha; Chris Xiaoxuan Lu (IROS, 2024)

RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar. - Fangqiang Ding; Xiangyu Wen; Yunzhou Zhu; Yiming Li 003; Chris Xiaoxuan Lu (NeurIPS, 2024)

ThermoHands: A Benchmark for 3D Hand Pose Estimation from Egocentric Thermal Image. - Fangqiang Ding; Yunzhou Zhu; Xiangyu Wen; Chris Xiaoxuan Lu (CoRR, 2024)

Forecasting backdraft with multimodal method: Fusion of fire image and sensor data. - Tianhang Zhang; Fangqiang Ding; Zilong Wang; Fu Xiao; Chris Xiaoxuan Lu; Xinyan Huang (Eng. Appl. Artif. Intell., 2024)

Robust Metric Localization in Autonomous Driving via Doppler Compensation With Single-Chip Radar. - Pengen Gao; Shengkai Zhang; Wei Wang 050; Chris Xiaoxuan Lu (IEEE Trans. Intell. Transp. Syst., 2024)

Introduction to the Special Section on Contact-free Smart Sensing in AIoT. - Pengfei Hu 001; Zhe Chen 015; Chris Xiaoxuan Lu; Xuyu Wang; Jun Luo 001; Prasant Mohapatra (ACM Trans. Sens. Networks, 2024)

End-to-End Target Liveness Detection via mmWave Radar and Vision Fusion for Autonomous Vehicles. - Shuai Wang 008; Luoyu Mei; Zhimeng Yin 001; Hao Li; Ruofeng Liu; Wenchao Jiang; Chris Xiaoxuan Lu (ACM Trans. Sens. Networks, 2024)

Deep Learning for Visual Localization and Mapping: A Survey. - Changhao Chen; Bing Wang 013; Chris Xiaoxuan Lu; Niki Trigoni; Andrew Markham (IEEE Trans. Neural Networks Learn. Syst., 2024)

Risk Controlled Image Retrieval. - Kaiwen Cai; Chris Xiaoxuan Lu; Xingyu Zhao 001; Wei Huang 035; Xiaowei Huang 001 (AAAI, 2025)

ThermoHands: A Benchmark for 3D Hand Pose Estimation from Egocentric Thermal Images. - Fangqiang Ding; Yunzhou Zhu; Xiangyu Wen; Gaowen Liu; Chris Xiaoxuan Lu (SenSys, 2025)

When Pre-trained Visual Representations Fall Short: Limitations in Visuo-Motor Robot Learning. - Nikolaos Tsagkas; Andreas Sochopoulos; Duolikun Danier; Chris Xiaoxuan Lu; Oisin Mac Aodha (CoRR, 2025)

Learning Selective Sensor Fusion for State Estimation. - Changhao Chen; Stefano Rosa; Chris Xiaoxuan Lu; Bing Wang 013; Niki Trigoni; Andrew Markham (IEEE Trans. Neural Networks Learn. Syst., 2025)

Fast ECoT: Efficient Embodied Chain-of-Thought via Thoughts Reuse. - Zhekai Duan; Yuan Zhang; Shikai Geng; Gaowen Liu; Joschka Boedecker; Chris Xiaoxuan Lu (CoRR, 2025)

VISC: mmWave Radar Scene Flow Estimation using Pervasive Visual-Inertial Supervision. - Kezhong Liu; Yiwen Zhou; Mozi Chen; Jianhua He; Jingao Xu; Zheng Yang 002; Chris Xiaoxuan Lu; Shengkai Zhang (CoRR, 2025)