Image

Xiao Gu





About

I am now a PhD student at the Hamlyn Centre, Imperial College London, UK. Before, I obtained BEng degree (Honor Student) in Electronic Engineering from Fudan University in 2018 and MRes degree in Medical Robotics and Image Guided Intervention (Distinction & Dean's Prize) from Imperial College London in 2019. My research interests include physiological signal processing and computer vision technologies leading to healthcare.



Education


Imperial College London

Sept 2018 - Present

MRes (Distinction & Dean's Prize) in Medical Robotics and Image Guided Intervention, Department of Surgery and Cancer.
PhD student in Computing from Nov 2019.

Imperial College London

Aug 2017 - Sept 2017

Summer Intern Student at Hamlyn Centre.

Fudan University

Sept 2014 - June 2018

Honour Degree of Bachelor of Engineering in Electronic Engineering,
School of Information Science and Technology.
Member of Class of Elite Engineers Program (17 top students selected).
Overall GPA: 3.78/4.00, Major GPA: 3.92/4.00
Ranking: 2/172 (in School of Information)


Research

The Hamlyn Centre, Imperial College London
Generalization Capabilty of Deep Learning in Pervasive Sensing Based Healthcare In Progress
Supervisor: Dr. Benny Lo
3D Gait Analysis: From Depth Sensing Enhancement to Generalized Abnormal Gait Pattern Recognition
Supervisor: Prof. Guang-Zhong Yang


The Center for Intelligent Medical Electronics, Fudan University
Lymphedema Monitoring System
Supervisor: Prof. Wei Chen

Neonatal Seizure Monitoring System
Supervisor: Prof. Wei Chen

Multi-Modal BCI
Supervisor: Prof. Wei Chen



Publications


[J5] 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

[J4] 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, vol. 29, pp. 6343–6356, 2020.   project

[J3] Xinyu Jiang, Xiao Gu, Ke Xu, Haoran Ren, and Wei Chen, “Independent Decision Path Fusion for Bimodal Asynchronous Brain–Computer Interface to Discriminate Multiclass Mental States,” IEEE Access, vol. 7, pp. 165303–165317, 2019.  

[J2] Yao Guo, Fani Deligianni, Xiao Gu, Guang-Zhong Yang, "3D Canonical Pose Estimation and Abnormal Gait Recognition With a Single RGB-D Camera", IEEE Robotics and Automation Letters, vol. 4, no. 4, pp. 3617–3624, Oct. 2019.

[J1] Zhenning Mei, Xiao Gu, Hongyu Chen, Wei Chen, “Automatic Atrial Fibrillation Detection Based on Heart Rate Variability and Spectral Features”, IEEE Access, vol. 6, pp. 53566–53575, 2018.  


[C5] Yao Guo, Raffaele Gravina, Xiao Gu, Giancarlo Fortino, Guang-Zhong Yang, “EMG-based Abnormal Gait Detection and Recognition”, IEEE 1st IEEE International Conference on Human-Machine Systems (ICHMS’20), Rome, Italy, 2020.

[C4] Xinyu Jiang, Xiao Gu, Zhenning Mei, Haoran Ren, Wei Chen, “A Modified Common Spatial Pattern Algorithm Customized for Feature Dimensionality Reduction in fNIRS-Based BCIs”, IEEE the 40th International Engineering in Medicine and Biology Conference (EMBC’18), Honolulu, Hawaii, USA, 2018, pp. 5073-5076. (Oral)

[C3] Ziyang Wang, Xiao Gu, Fani Deligianni, Guang-Zhong Yang, “From 3D Human Pose Estimation to Gait Analysis”, presented in Hamlyn Symposium Workshop on Wearable and Assistive Robots, 2018. (Poster)

[C2] Xiao Gu, Fani Deligianni, Benny Lo, Wei Chen, Guang-Zhong Yang, “Markerless Gait Analysis Based on a Single RGB Camera”, IEEE the 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN), Las Vegas, NV, USA, 2018, pp.42-45. (Oral)   slides

[C1] Hongyu Chen, Xiao Gu, et al., “A Wearable Sensor System for Neonatal Seizure Monitoring”, IEEE the 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), Eindhoven, Netherland, 2017, pp. 27-30. (Poster)


[P3] Wei Chen, Xiao Gu, et al., “A Scanning Platform for Measuring Upper Limb Lymphedema”, Chinese Patent, CN207561890U.

[P2] Wei Chen, Xiao Gu, et al., “A New Monitoring System for Upper Limb Lymphedema Monitoring based on Depth Scanning Technique and Information Analysis”, Chinese Patent, Application No.201710220459.6 (pending).

[P1] Wei Chen, Hongyu Chen, Zhenning Mei, Xiao Gu, et al., “Wearable Monitoring System for Neonatal Seizure”, Chinese Patent, Application No.201611249212.9 (pending).




Academic Activities


IEEE Journal of Biomedical and Health Informatics (JBHI).
IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE).
IEEE Access.
IEEE the 2020 Winter Conference on Applications of Computer Vision (WACV’20).
IEEE the 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN’18).


2020 May, “Learning From Synthetic Data for Real-World Tasks”. Machine Learning in Science Colloquium, University of Glasgow.



Honours and Awards


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.


2019-2023 Hamlyn PhD Scholarship.
2017 National Scholarship (1% of all students, Highest honour).
2016 1st Prize, Joel & Ruth Spira Scholarship of Tengfei College (Only 1 in all engineering departments), Fudan University.
2016 ELITE, LIU YONG LING Scholar (1st Prize, Scholarship for Outstanding Students), Fudan University.


2018 Silver Prize, Geneva International Exhibition of Inventions, Geneva, Switzerland.
2016 1st Prize (Team Leader), National Biomedical Engineering Innovation Contest, China.





CONTACT

Email
xiao.gu17@imperial.ac.uk
guxiao0822@icloud.com
shawngu0822@gmail.com

SOCIAL LINKS

Last Updated : July 11th 2020 by Xiao (Shawn)