Chongyang Wang

Chongyang Wang
PhD Student
[email address hidden]
Room: 2.04
UCLIC, University College London
66 - 72 Gower Street
London, WC1E 6EA
United Kingdom

Brief biography

Chongyang Wang is a former PhD student at the UCL interaction centre under the supervision of Prof. Nadia Berthouze and Dr. Nic Lane. Prof. Amanda Williams is acting as the tertiary supervisor who help enrich the theoretical basis of his research from a clinical psychology perspective. He graduated from the Southwest University of China in Electronics and Information Engineering and was ranked 2nd in his major with a GPA of 3.79/4. As a bachelor student, he has worked on a number of research projects in the area of signal processing, image processing and machine learning and contributed to four peer-reviewed publications, two of which in journals and one as first author. In 2016, he was ranked 1st at his school's comprehensive appraisal and won a national scholarship. Recognition also comes from beyond his own school. In 2015, he was awarded an internship at Harvard Medical School, USA during which he carried out a project improving the segmentation of vessels in the retina. He did a 6-month research internship at the Institute of Psychology, Chinese Academy of Science, a very prestigious research institution in China. Finally, he was awarded two prestigious scholarship from UCL to carry out his PhD studies on the topic of developing new body sensing technology to support chronic pain physical rehabilitation.


Papers

1.Chongyang Wang, Yuan Gao, Akhil Mathur, Nicholas D. Lane and Nadia Bianchi-Berthouze. "Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data". Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), (2021).
2.Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. De C. Williams, Nicholas D. Lane, and Nadia Bianchi-Berthouze. "Chronic-Pain Protective Behavior Detection with Deep Learning". ACM Transactions on Computing for Healthcare, (2021).
3.Chongyang Wang, Min Peng, Tao Bi, and Tong Chen. "Micro-Attention for Micro-Expression recognition". Neurocomputing, 410, (2020).
4.Gold, N. E., Chongyang Wang, Temitayo Olugbade, N. Berthouze, and A. Williams. "P[l]aying Attention: Multi-Modal, Multi-Temporal Music Control". Proceedings of International Conference on New Interfaces for Musical Expression (NIME), poster presentation, (2020).
5.Chongyang Wang, Min Peng, Temitayo A. Olugbade, Nicholas D. Lane, Amanda C. De C. Williams and Nadia Bianchi-Berthouze. "Learning Bodily and Temporal Attention in Protective Movement Behavior Detection". Proceedings of 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW'19), oral presentation, (2019).
6.Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. De C. Williams, Nicholas D. Lane, and Nadia Bianchi-Berthouze. "Recurrent Network based Automatic Detection of Chronic Pain Protective Behavior using MoCap and sEMG data". Proceedings of 23rd International Symposium on Wearable Computers (ISWC/Ubicomp'19), oral presentation, (2019).
7.Min Peng, Chongyang Wang, Tao Bi, Tong Chen, Xiangdong Zhou, Yushi. "A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition". Proceedings of 8th International Conference on Affective Computing and Intelligent Interaction (ACII'19), poster presentation, (2019).
8.Min Peng, Chongyang Wang, and Tong Chen. "Attention Based Residual Network for Micro-Gesture Recognition". Proceedings of 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG'18), pp. 790-794. IEEE, (2018).


Reviewer

IMWUT,
ACM Transactions on Intelligent Systems and Technology,
IEEE Transactions on Human-Machine Systems,
IEEE Transactions on MultiMedia,
Journal of Signal Processing Systems,

Ubicomp'19, 20, 21,
ACII'19, 21, 22,
ICMI'20, 21,
SmartCOMP'20,
Mobicomp'19,
PerCom'19,

Teaching assistant

COMP0053, Affective Computing and Human-Robot Interaction (AC-HRI), a post-graduate taught course, since 2017.
PSYC0021, Affective Interaction, a post-graduate taught course, occasionally since 2017.

News

Please kindly refer to my personal page for updates beyond my PhD : )

Defended my thesis and passed with minor!

Research Publications

Authors
Title
Year
Publication
Chongyang Wang, Y Gao, C Fan, J Hu, TL Lam, Nic Lane, N Bianchi-Berthouze Learn2Agree: Fitting with Multiple Annotators without Objective Ground Truth 2023 Preprint
Nadia Berthouze, Chongyang Wang, Y Gao, C Fan, J Hu, TL Lam, Nic Lane, Nadia Berthouze Learn2Agree: Fitting with Multiple Annotators Without Objective Ground Truth 2023 Conference paper (text)
G Cen, Chongyang Wang, Temitayo Olugbade, A Williams, Nadia Berthouze Exploring Multimodal Fusion for Continuous Protective Behavior Detection 2022 Conference paper (text)
Chongyang Wang, Temitayo Olugbade, Akhil Mathur, ACDC Williams, Nic Lane, N Bianchi-Berthouze Chronic-Pain Protective Behavior Detection with Deep Learning 2021 ACM Transactions on Computing for Healthcare, Journal article
Chongyang Wang, Y Gao, Akhil Mathur, A Williams, Nic Lane, N Bianchi-Berthouze Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data 2021 Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Journal article
J Egede, S Song, Temitayo Olugbade, Chongyang Wang, A Williams, Hongying Meng, AH Min, Nic Lane, M Valstar, Nadia Berthouze EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facialand Bodily Expressions 2020 Conference paper (text)
Chongyang Wang, M Peng, Tao Bi, T Chen Micro-attention for micro-expression recognition 2020 Neurocomputing, Journal article
NE Gold, Chongyang Wang, Temitayo Olugbade, Nadia Berthouze, A Williams P(l)aying Attention: Multi-Modal, Multi-Temporal Music Control 2020 Conference paper (text), Birmingham, UK (online)
N Gold, Chongyang Wang, Temitayo Olugbade, N Bianchi-Berthouze, ACDC Williams P(L)aying attention: Multi-modal, multi-temporal music control 2020 Proceedings of the International Conference on New Interfaces for Musical Expression, Conference paper (text)
M Peng, Chongyang Wang, Tao Bi, T Chen, X Zhou, Y shi A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition 2019 Conference paper (text)
Tao Bi, Y Zhang, Chongyang Wang, Amid Ayobi Characterizing HCI Research in China: Streams, Methodologies and Future Directions 2019 Conference paper (text)
Chongyang Wang, M Peng, Temitayo Olugbade, Nic Lane, ACDC Williams, N Bianchi-Berthouze Learning Bodily and Temporal Attention in Protective Movement Behavior Detection 2019 Conference paper (text)
Chongyang Wang, Temitayo Olugbade, Akhil Mathur, ACDC Williams, Nic Lane, Nadia Berthouze Recurrent Network based Automatic Detection of Chronic Pain Protective Behavior using MoCap and sEMG data 2019 Conference paper (text)
M Peng, Chongyang Wang, T Chen Attention Based Residual Network for Micro-Gesture Recognition 2018 13th IEEE International Conference on Automatic Face and Gesture Recognition, Conference paper (text), Xian, China
M Peng, Chongyang Wang, T Chen, G Liu, X Fu Dual Temporal Scale Convolutional Neural Network for Micro-Expression Recognition 2017 Frontiers in Psychology, Journal article
Chongyang Wang, M Peng, L Xu, T Chen A single scale retinex based method for palm vein extraction 2016 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), Conference paper (text)
M Peng, Chongyang Wang, T Chen, G Liu NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification 2016 Information, Journal article
Chongyang Wang, Y Gao, Akhil Mathur, ACDC Williams, Nic Lane, N Bianchi-Berthouze Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data 1900 Journal article
M Peng, Chongyang Wang, Y Gao, Tao Bi, T Chen, Y Shi, X-D Zhou Recognizing Micro-Expression in Video Clip with Adaptive Key-Frame Mining 1900 Journal article