Xiao Gu

Xiao Gu

• About(current)
• Research
• Publications
• Academic
• Honours

About Me

I am now a Senior Research Associate at the Computational Health Informatics Lab, University of Oxford, working with Prof David Clifton. I am also an honorary researcher at Oxford University Hospital, and a Junior Research Fellow with Kellogg College, Oxford. Previously, I obtained my PhD degree in Computing and MRes degree (Distinction & Dean's Prize) in Medical Robotics and Image Guided Intervention, supervised by Dr Benny Lo and Prof Guang-Zhong Yang CBE FREng. Prior to that, I obtained BEng degree (Honors Student & National Scholarship) in Electronic Engineering from Fudan University in 2018, supervised by Prof Wei Chen. My research interests focus on integrating pervasive sensing (wearable and ambient sensors) and deep learning for healthcare, to address pressing generalization issues in real-world applications.

Attention I set aside one hour per week to mentoring underrepresented students or anyone looking for guidance. If you're interested, please fill out this form.

News

[2025-12-17]

   

Awarded a SDR UK Fellowship (PI, £200K) on foundation AI and wearables!

[2025-12-04]

   

Secured a MLSTF-ETI award (PI, £50K) on translational study of biosignal foundation models!

[2025-11-19]

   

Our cardiac sensing foundation model is accepted to Nature Machine Intelligence!

[2025-10-01]

   

Officially started my fellowship in Kellogg.

[2025-08-24]

   

Our survey paper on recent advances of foundation models for biosignals is online.

[2025-06-10]

   

Our paper on SSL on wearables is accepted to Communications Engineering.

[2025-03-27]

   

Selected as Junior Research Fellow of Kellogg College (starting Michaelmas 2025).

[2025-01-02]

   

Our CFP for JBHI SI on biomedical sensing frontiers is live, welcome submissions!

[2024-12-02]

   

One paper on depth camera based pose estimation got accepted to IEEE TII.

[2024-11-04]

   

Selected as outstanding reviewer at BMVC24.

[2024-11-02]

   

Two papers on LLM and time series foundation models got accepted to ML4H24.

[2024-10-28]

   

One paper on semi-supervised medical image segmentation got accepted to WACV25.

[2024-10-28]

   

Gave a talk to HKUMed on GenAI in Medicine.

[2024-02-20]

   

One co-authored survey paper on lower-limb exoskeletons got accepted to IEEE SMC.

[2024-02-06]

   

One paper on Motor Imagery EEG got accepted to JBHI and selected as Front Cover.

[2024-01-15]

   

Our workshop focusing on wearables and healthcare robotics will be hosted at ICRA24.

[2023-09-12]

   

Started as a postdoctoral researcher at Oxford.

[2023-08-23]

   

Passed my PhD viva! Many thanks to my supervisors, collaborators, and family!   Thesis

[2023-08-22]

   

One co-authored paper on semi-supervsied image segmentation got accepted to BMVC23.

[2023-07-14]

   

One survey paper for AI in pervasive healthcare got accepted to IEEE R-BME.

[2023-05-30]

   

Co-organized workshop "AI in pervasive well-being and healthy ageing" at Glasgow.

[2023-05-15]

   

Awarded ICRA student travel grant.

[2023-01-27]

   

One paper on egocentric image captioning got accepted to IEEE T-Cyber.

[2023-01-24]

   

One paper on egocentric pose estimation got accepted to IEEE T-MM.

[2023-01-16]

   

Two papers on intention recognition and egocentric pose estimation got accepted to ICRA 2023.

[2022-09-30]

   

One paper on self-supervised learning on facial expression recognition got accepted to BMVC 2022.

[2022-09-10]

   

One co-authored paper on annotation uncertainty got accepted to Medical Image Analysis.

[2022-07-15]

   

Gave a talk on our ECCV paper at University of Glasgow Healthcare Seminar.

[2022-07-03]

   

One paper on long-tailed classification under domain shifts got accepted to ECCV 2022.

[2022-07-01]

   

Won 2nd prize at Imperial Computing PhD Poster Competition.

[2022-06-30]

   

Two papers on egocentric behaviour understanding got accepted to IROS 2022.

[2022-06-19]

   

Won 3rd place for EPIC-Kitchens Action Anticipation CVPR 2022 Challenge.

[2022-01-31]

   

One paper on gait pose estimation got accepted to ICRA 2022.

[More News]

Research

My research interests are mainly focused on three tracks in Wearable/Ambient Intelligence for Digital Health Generalization-Issue-Oriented   review paper To examine and address real-world data learning issues, prompting generalizable and trustworthy solutions for digital health. Dataset Scarcity (label scarcity / imbalanced /...), Source Heterogeneity (cross-subject / position / modality / dataset /...), Data&Annotation Quaility (noisy sensor data / annotation bias /...) Sensing-Modality-Oriented To harness the full potential of wearable and ambient sensing technologies for the development of healthcare solutions. Ambient Camera / Egocentric Camera / EEG / EMG / IMU / ECG / Novel Sensing /... Healthcare-Application-Oriented To ultimately translate research advancements into tangible benefits for real-world health and wellbeing applications. Clinical Outcome Prediction / Rehabilitation Monitoring / Human Behaviour Understanding / ...

Publications

• Selected(current)
• Generalization-Issue Scarcity Heterogeneity Quality
• Sensing-Modality Camera Ego-Camera EEG/fNIRS EMG IMU Novel Sensing
• Healthcare-Application Human Behaviour Understanding Rehabilitation and Assistive Clinical Diagnostics

Jianing Qiu, Frank P-W Lo, Xiao Gu, Modou L Jobarteh, Wenyan Jia, Tom Baranowski, Matilda Steiner-Asiedu, Alex K Anderson, Megan A McCrory, Edward Sazonov, Mingui Sun, Gary Frost, Benny Lo Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring IEEE Transactions on Cybernetics, 2023.   paper Yuxuan Liu, Jianxin Yang, Xiao Gu, Yao Guo, Guang-Zhong Yang EgoFish3D: Egocentric 3D Pose Estimation from a Fisheye Camera via Self-Supervised Learning IEEE Transactions on Multimedia, 2023.   dataset   paper Intractable to get ground truth of egocentric pose Yuxuan Liu, Jianxin Yang, Xiao Gu, Yao Guo, Guang-Zhong Yang EgoHMR: Egocentric Human Mesh Recovery via Hierarchical Latent Diffusion Model IEEE International Conference on Robotics and Automation (ICRA), 2023.   project   paper Xiao Gu, Jinpei Han, Guang-Zhong Yang, Benny Lo Generalizable Movement Intention Recognition with Multiple Heterogeneous EEG Datasets IEEE International Conference on Robotics and Automation (ICRA), 2023.   paper Cross-dataset configuration changes, cross-subject heterogeneity Limited diversity (subject number) of single dataset Yuxuan Shu, Xiao Gu, Guang-Zhong Yang, Benny Lo Revisiting Self-Supervised Contrastive Learning for Facial Expression Recognition British Machine Vision Conference (BMVC), 2022.   project   paper Annotation difficulty of large-scale affective datasets Cross-subject heterogeneity Hanxiao Zhang, Liang Chen, Xiao Gu, Minghui Zhang, Yulei Qin, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang Trustworthy Learning with (Un)sure Annotation for Lung Nodule Diagnosis with CT Medicial Image Analysis, 2022.   paper Annotation quality of the lung nodule diagnosis Xiao Gu, Yao Guo, Zeju Li, Jianing Qiu, Qi Dou, Yuxuan Liu, Benny Lo, Guang-Zhong Yang Tackling Long-Tailed Category Distribution Under Domain Shifts European Conference on Computer Vision (ECCV), 2022.   project  dataset   paper Imbalanced distribution General cross-domain shifts Xiao Gu, Jianxin Yang, Hanxiao Zhang, Jianing Qiu, Frank Lo, Yao Guo, Guang-Zhong Yang, Benny Lo Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation Preprint 2021.   dataset   paper Time-consuming and expensive to acuqire ground truth from Mocap Cross-viewpoint and sim2real heterogneity Xiao Gu, Yao Guo, Guang-Zhong Yang, Benny Lo Cross-Domain Self-Supervised Complete Geometric Representation Learning for Real-Scanned Point Cloud Based Pathological Gait Analysis IEEE Journal of Biomedical and Health Informatics, 2021.   paper Time-consuming and expensive to acuqire ground truth from Mocap Noise from depth sensing Cross-viewpoint and sim2real heterogneity Yao Guo, Xiao Gu, Guang-Zhong Yang MCDCD: Multi-Source Unsupervised Domain Adaptation for Abnormal Human Gait Detection IEEE Journal of Biomedical and Health Informatics, 2021.   paper Cross-subject heterogneity Xiao Gu, Yao Guo, Fani Deligianni, Benny Lo, Guang-Zhong Yang Cross-Subject and Cross-Modal Transfer for Generalized Abnormal Gait Pattern Recognition IEEE Transactions on Neural Networks and Learning Systems, 2020.   project  paper Cross-subject heterogneity Noisy sensory representations from wearable sensors Xiao Gu, Yao Guo, Fani Deligianni, Guang-Zhong Yang Coupled Real-Synthetic Domain Adaptation for Real-World Deep Depth Enhancement IEEE Transactions on Image Processing, 2020.   project paper Difficult to acquire clean depth maps Noisy depth maps from RGBD cameras Yuxuan Liu, Jianxin Yang, Xiao Gu, Yao Guo, Guang-Zhong Yang Ego+X: An Egocentric Vision System for Global 3D Human Pose Estimation and Social Interaction Characterization IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.   project paper Jianxin Yang, Yuxuan Liu, Xiao Gu, Gaung-Zhong Yang, Yao Guo PoseSDF: Simultaneous 3D Human Shape Reconstruction and Gait Pose Estimation Using Signed Distance Functions IEEE International Conference on Robotics and Automation (ICRA), 2022.  paper Jianing Qiu, Lipeng Chen, Xiao Gu, Frank P-W Lo, Ya-Yen Tsai, Jiankai Sun, Jiaqi Liu, Benny Lo Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal Fusion IEEE Robotics and Automation Letters, 2022.   dataset  paper Jianing Qiu, Frank Lo, Xiao Gu, Yingnan Sun, Shuo Jiang, Benny Lo Indoor Future Person Localization from an Egocentric Wearable Camera 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.  paper Jinpei Han, Xiao Gu, Benny Lo Semi-Supervised Contrastive Learning for Generalizable Motor Imagery EEG Classification 2021 IEEE 17th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2021.  paper Annotation uncertainty Cross-subject/session heterogeneity Fangzhi Mu, Xiao Gu, Yao Guo, Benny Lo Unsupervised Domain Adaptation for Position-Independent IMU based Gait Analysis 2020 IEEE Sensors, 2020.   paper Cross-position/subject heterogeneity Yao Guo, Fani Deligianni, Xiao Gu, Guang-Zhong Yang3D Canonical Pose Estimation and Abnormal Gait Recognition with a Single RGB-D Camera IEEE Robotics and Automation Letters, 2019.  paper Xiao Gu, Fani Deligianni, Benny Lo, Wei Chen, Guang-Zhong Yang Markerless Gait Analysis based on a Single RGB Camera 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2018.   paper   slides Saeed Akbarzadeh, Xiao Gu, Zhipeng Wu, Benny Lo A Novel Active Human Echolocation Device 2022 IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2022.  paper Hongyu Chen, Xiao Gu, Zhenning Mei, Ke Xu, Kai Yan, Chunmei Lu, Laishuan Wang, Feng Shu, Qixin Xu, Sidarto Bambang Oetomo, Wei Chen A Wearable Sensor System for Neonatal Seizure Monitoring 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2017.  paper

Academic Activities

Organizers Guest Editor, JBHI Special Issue on Efficient DL Frontiers for Next-Gen. Biomedical Sensing Intelligence. TC, BMVC24 WS on Privacy, Fairness, Accountability and Transparency in Computer Vision. Organizer, ICRA24 Workshop on Wearable Intelligence for Healthcare Robotics. Organizer, Workshop on AI in Pervasive Well-Being and Healthy Ageing. Reviewers Journal: IEEE TNNLS, IEEE TII, IEEE JBHI, IEEE TNSRE, IEEE Sensors Journal, IEEE JTEHM, IEEE RAL, Frontiers in Medicine, Frontiers in Neurorobotics, Neuroscience Letter, etc. Conference: WACV 20, ICRA 21-23, IROS 21-, ICRA 21-, EPIC-ICCVW 21, ML4H 21-22, IPCAI 22, NeurIPS-TS4H 22, ECCV 22-, CVPR 23-, ICCV 23-, BMVC 23-, BHI 23-, ICLR 25, NeurIPS 24. Invited Talks 2024 Oct 28, "(Gen)AI in Healthcare and Medicine". LKS Faculty of Medicine, University of Hong Kong. 2023 Jan 17, "Towards Data-Efficient and Generalizable Learning for Sensing Informatics". Oxford Wearables Group, University of Oxford. 2022 July 15, "Tackling Long-Tailed Category Distribution Under Domain Shifts for Egocentric Action Anticipation". Healthcare Seminar, University of Glasgow. 2021 Jan 21, "Generalizable Deep Learning in Pervasive Healthcare: Case Study in Gait Analysis". CIME Seminar, Fudan University. 2020 May 20, "Learning from Synthetic Data for Real-World Tasks". ML in Science Colloquium, University of Glasgow.

Honours and Awards

Honours 2024 BMVC Outstanding Reviewer. 2023 IEEE ICRA Student Travel Grant. 2020 Dean's Prize for Medical Robotics and Image Guided Intervention, Imperial College London. 2018 Outstanding Graduates of Shanghai (1% of all students, Highest honour for undergraduates). 2018 Honours Student Award in Electronic Engineering (Less than 1% of all students), Fudan University. 2018 Xiyuan Scholar (Excellence), Fudan’s Undergraduate Research Opportunities Program (No.16486). 2017 Outstanding Student, Fudan University. 2016 Outstanding Student Leader, Fudan University. 2015 Outstanding Student, Fudan University. Scholarship 2019-2023 Full PhD Scholarship. 2017 National Scholarship (1% of all students, Highest honour). 2016 1st Prize, Joel & Ruth Spira Scholarship (Only 1 in all engineering departments), Fudan University. 2016 ELITE, LIU YONG LING Scholar (1st Prize, Scholarship for Outstanding Students), Fudan University. Competition Prize 2022 2nd Place, 3rd Imperial Computing Conference PhD Poster Competition. 2022 3rd Place, EPIC-Kitchens Action Anticipation CVPR Challenge 2022. [Report] 2021 3rd Place, EPIC-Kitchens Action Anticipation CVPR Challenge 2021. [Report] 2018 Silver Prize, Geneva International Exhibition of Inventions, Geneva, Switzerland. [News] 2016 1st Prize (Team Leader), National Biomedical Engineering Innovation Contest, China. [Video][Photo]

CONTACT

Email [email protected] [email protected] [email protected]

SOCIAL LINKS

Last Updated : Dec 17th 2025 by Xiao (Shawn)