Dr. YANG is a project fellow with the Department of Computing, The Hong Kong Polytechnic University, Hong Kong. She received her Ph.D. in computer science from the College of Computer Science, Sichuan University, China and has been a postdoctoral fellow with the Dept. of Biomedical Engineering, The Chinese University of Hong Kong. Her research interests include Machine Learning, Large-Scale Data Mining, Medical Image Analysis and Augmented Reality. Her publications appear in top-notch conferences (MM) and journals (TMI, TIP, BIB).
She has been involved a lot in AR rehabilitation in recent years. During the COVID-19, the systems she built with her team in CUHK have made it possible for 300+ post-stroke patients (including those from 35 rehabilitation centres and 60+ home users) to continue their trials when most of the centres have suspended their rehabilitation services due to the pandemics. The work has been reported by TVB in March 2021, has won the Best Rehabilitation Programme in the 9th Eldercare Innovation Awards 2021 which held in Singapore in December 2021 and “Certificate of Merit” in Smart Living (Smart Healthcare) in ‘Hong Kong ICT Awards 2021’ in December 2021.
Zhen-Qun Yang, Xiaoy-Yong Wei, and Yi Zhang*, Gerald Friedland, Contextual Noise Reduction for Domain Adaptive Near-Duplicate Retrieval on Merchandize Images, IEEE Transactions on Image Processing, vol. 26, no. 8, pp.3896–3910, 2017.
Xu-Lu Zhang1, Zhen-Qun Yang1, Dong-Mei Jiang, Ga Liao, Qing Li, Ramesh Jain, Xiao-Yong Wei*, Cardiac Evidence Mining for Eating Monitoring using Collocative Electrocardiogram Imagining. TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.18093275.v2. 2022.
Zhen-Qun Yang, Dan Du, Xiao-Yong Wei, Raymond Kai-Yu Tong*, Augmented reality for stroke rehabilitation during COVID-19, Journal of NeuroEngineering and Rehabilitation, 19(1):136, 2022 Dec 8.
Cao, Yi1, Zhen-Qun Yang1, Xu-Lu Zhang, Wenqi Fan, Yaowei Wang, Jiajun Shen, Dong-Qing Wei, Qing Li, and Xiao-Yong Wei. "Identifying the kind behind SMILES—anatomical therapeutic chemical classification using structure-only representations." Briefings in Bioinformatics 23, no. 5 (2022): bbac346.
Xiao-Yong Wei1, Zhen-Qun Yang1, Zhang-Xu Lu, et al., Deep Collocative Learning for Immunofixation Electrophoresis Image Analysis, IEEE Transactions on Medical Imaging, 40(7):1898-1910, July 2021.
Xiao-Yong Wei, Zhen-Qun Yang*, Chong-Wah Ngo, Zhang Wei, Visual Typo Correction by Collocative Optimization - A Case Study on Merchandize Images, IEEE Transactions on Image Processing, vol.23, no.2, pp.527–540,2014.
Xiao-Yong Wei, Zhen-Qun Yang*, Coaching the Exploration and Exploitation in Active Learning for Interactive Video Retrieval, IEEE Transactions on Image Processing, vol.22, no.3, pp.955–968, 2013.
Ling-Fung Yeung1, Zhen-Qun Yang1, Kenneth Chik-Chi Cheng, Dan Du, Raymond Kai-Yu Tong*, Effects of camera viewing angles on tracking kinematic gait patterns using Azure Kinect, Kinect v2 and Orbbec Astra Pro v2, Gait & Posture, vol.87, pp. 19–26, June 2021.
Lee, John SY, Chak Yan Yeung, and Zhenqun Yang, Personalized and adaptive text recommendation for learners of Chinese, Interactive Learning Environments, (2022): 1-14.
Xiao-Yong Wei, Zhen-Qun Yang*, Mining In-Class Social Networks for Large-Scale Pedagogical Analysis, ACM Multimedia 2012 (MM’12), Nara, Japan, October 29-November 2, 2012. (Long Paper, Oral, Acceptance Rate: 18%, recommended as a candidate for Brave New Ideas)
Xiao-Yong Wei, Zhen-Qun Yang*, Coached Active Learning for Interactive Video Search, ACM Multimedia 2011 (MM’11), Scottsdale, Arizona, USA, November 28-December 1, 2011. (Long Paper, Oral, Acceptance Rate: 17%, recommended as a High Risk/Reward Theories (i.e., Contributions that explore innovative and paradigm shifts in conventional theory and practice of multimedia techniques and applications. In this paper, the ideas differ from the state of art in theory and demonstrate the potential for changing ways of thinking))
ML, AI and big-data technologies to support primary and secondary schools' teaching and learning in Hong Kong.
Rehabilitation systems for stroke and people with chronic decease running in 35+ centres and 50+ homes in Hong Kong during the COVID-19. The work has been reported by TVB in March 2021, has won the Best Rehabilitation Programme in the "9th Eldercare Innovation Awards 2021" and Certificate of Merit in Smart Living (Smart Healthcare) in "Hong Kong ICT Awards 2021" in December 2021.
On-line platform for computer-aided teaching and learning of bilingual writing and translating in English and Chinese.
Models for neural network grammatical error detection and correction models in English learner writing.
Contextual Noise Reduction for Domain Adaptive Near-Duplicate Retrieval on Merchandize Images. Published in IEEE Transactions on Image Processing (TIP), 2017.
Coached Active Learning for Interactive Video Search. Published in ACM Multimedia as a long paper.
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