Qingchao Chen
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Assistant Professor, PhD Supervisor, Independent PI Sensing, Perception and Intervention Group Peking University Honorary Research Fellow Department of Engineering Science, University of Oxford qingchao.chen@pku.edu.cn; qingchao.chen@bjmu.edu.cn; qingchao.chen@eng.ox.ac.uk; davidchen0526@gmail.com Reminder: I am recruiting self-motivated students and interns with interests in human sensing, radar system design, transfer learning, multi-modal sensing and learning, medical image analysis. Feel free to contact me. |
Biography
My research focus on the intersaction of electronic engineering, computer science and computational clinical research, with special interests in transfer learning, deep learning, human sensing using multi-modal sensors and machine learning framework, medical image analysis and cross-modal knowledge discovery. My research objective is to investigate how to integrate multi-modal sensor design and machine learning framework to assist, understand and intervene clinical practice. I am also interested in understanding the cognitive process of clinical diagnosis based on observational data
I am leading the SPI Group.
Research Interests
- Radar Sensor Design and Processing: passive wifi radar, active MIMO radar, cognitive radar with vision,human sensing and chronical disease sensing
- Computer Vision and Machine Learning: transfer learning, domain adaptation, video-text retrieval
- Multi-modal learning for clinical applications: multi-modal machine learning, eye-tracking enabled machine learning, ultrasound video analysis, histological image analysis
Education
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Ph.D., 2013-2018
University College London, London, UK
Advisor: Dr.Kevin Chetty, Prof.Karl Woodbridge -
B.Sc, 2009-2013
University of Post and Telecommunications, Beijing, China
Advisor: Prof.Aidong Men
Research Experience
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Postdoc Researcher, 2018-2021
University of Oxford, UK
Advisor: Prof. Alison Noble
Selected Publications [Google Scholar]
Journal Articles
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Respiration and Activity Detection Based on Passive Radio Sensing in Home Environments
Q.Chen, Y.Liu, B.Tan, K.Woodbridge, K.Chetty
IEEE Access -
DopNet: a DCNN Trained from Scratch for Classification of Armed/Unarmed Human Targets using Multiple-Channel Micro-Doppler Signatures.
Q.Chen, Y.Liu, F.Fionalli, M.Ritchie, K.Chetty
IEEE Sensor Journal -
WiFi CSI signal Processing and Behavior Recognition Methods
B.Tan, Q.Chen, W.Li, K.Chetty, K.Woodbridge
IEEE Communication Magazine
Books
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Domain Adaptation in Computer Vision with Deep Learning
Q.Chen, Y.Liu, Z.Wang, I.Wassell, K.Chetty. Chapter: Reweighted Adversarial Adaptation Network for Unsupervised Domain Adaptation
Springer -
Micro-Doppler Radar and its Applications
K.Woodbridge, K.Chetty,Q.Chen, B.Tan. Chapter: Passive radar approaches for healthcare
IET
Conference Proceedings
Machine Vision and Learning
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Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval
Q.Chen*, Y.Liu*, S.Albanie
IEEE Conference on Computer Vision and Pattern Recognition （CVPR） 2021 -
Mind-the-Gap! Unsupervised Domain Adaptation for Video-Text Retrieval
Q.Chen*, Y.Liu*, S.Albanie
Advanced Association of Artificial Intelligence Conference (AAAI) 2021 -
Structure-Aware Feature Fusion for Unsupervised Domain Adaptation
Q.Chen*, Y.Liu*
Advanced Association of Artificial Intelligence Conference (AAAI) 2020 -
Dictionary Learning Inspired Deep Networks for Scene Recognition
Q.Chen*, Y.Liu*, W.Chen, I.Wassell.
Advanced Association of Artificial Intelligence Conference (AAAI) 2018 -
Re-weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation
Q.Chen*, Y.Liu*, Z.Wang, I.Wassell, K.Chetty.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018
Radar Sensor and Human Sensing
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Doppler Based Detection of Multiple Targets in Passive Wi-Fi Radar using Underdetermined Blind Source Separation
Q.Chen*, B.Tan , K.Chetty, K.Woodbridge.
2018 IEEE International Radar Conference (Best Student Paper Award, Top 5 Nomination) -
A coherent through-the-wall MIMO phased array imaging radar based on time-duplexed switching
Q.Chen*, K.Chetty, P.Brennan.
SPIE Defense, Security, and Sensing. International Society for Optics and Photonics 2017 -
Signs of life detection using wireless passive radar
Q.Chen*, B.Tan, K.Chetty and K.Woodbridge
2016 IEEE Radar Conference (RadarConf) -
Activity Recognition Based on Micro-Doppler Signature with In-Home Wi-Fi
Q.Chen*, B.Tan, K.Chetty and K.Woodbridge
2016 IEEE International Conference of HealthCom -
Indoor target tracking using high doppler resolution passive Wi-Fi radar
Q.Chen*, B.Tan, K.Chetty and K.Woodbridge
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Computer-Assisted Clinical Practice
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Cross-Device and Cross-Anatomy Adaptation Network for Ultrasound Video Analysis
Q.Chen*, Y.Liu, Y.Hu, A.Self, A.Noble
International Conference on Medical Image Computing and Computer Assisted Intervention Workshop 2020 -
Longitudinal image registration with training samples discriminating temporal-order and subject-specificity
Q.Yang, Y.Fu, N.Ghavami, F.Giganti, Q.Chen, A.Noble, T.Vercauteren, D.Barratt, Y.Hu
International Conference on Medical Image Computing and Computer Assisted Intervention 2020
Awards
- 3rd Prize Winner, ICCV 2019 Multi-Moment Action Classification, 2019
- Best Student Paper Nominee, International Radar Conference, 2018
Media Coverage
- National Instruments Awards
- IEEE Spectrum News
- RSVision Coverage for ISBI Challenge 2021
Professional Services
PC Member | Reviewer
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019, 2020, 2021
- IEEE International Conference on Computer Vision (ICCV) 2019,2021
- European Conference on Computer Vision (ECCV) 2020
- Pattern Recognition Journals
Teaching
- Lab Instructor: Quantitative Analysis, University College London 2016-2017