杨博士是香港理工大学计算机学系的项目研究员。她在四川大学计算机学院获得计算机科学博士学位，并曾在香港中文大学生物医学工程系担任博士后研究员。她的研究兴趣包括机器学习、大规模数据挖掘、医学图像分析、增强现实和医疗保健。她的研究成果发表在顶级会议 (MM) 和期刊 (TMI、TIP、BIB) 上。
近年来，她在增强现实( AR) 康复方面参与了大量工作。在新冠疫情期间，她与香港中文大学团队开发的AR系统让 300 多名中风人士（包括来自 35 家康复中心的用户和 50 多名居家用户）能够在大多数康复中心因疫情而暂停康复服务的情况下继续接受康复治疗。这项工作于 2021 年 3 月被 香港TVB 报道，并在 2021 年 12 月于新加坡举行的第九届 2021 年乐龄护理创新奖中荣获 “最佳康复项目奖”，并在 2021 年 12 月的“香港信息和通讯技术奖 2021”中荣获智慧生活（智慧医疗）“优异奖”。
Zhen-Qun Yang, Jiannong Cao, Xiaoyin Li, Kaile Wang, Xinzhe Zheng, Kai Cheung Franky Poon, Daniel Lai. DMP_AI: An AI-Aided K-12 System for Teaching and Learning in Diverse Schools. The 17th International Conference on Blended Learning (ICBL 2024), LNCS 14797, 2024.
Jiabei Cheng, Zhen-Qun Yang, Jiannong Cao, Yu Yang, Kai Cheung Franky Poon, Daniel Lai. Modeling Behavior Change for Multi-model At-Risk Students Early Prediction. The 10th International Symposium on Educational Technology (ISET 2024), Macau, Macao SAR, China, 29 July to 1 August 2024.
Li, Xiaoyin, Yang Yu, Jiannong Cao, Zhen-Qun Yang, Kaile Wang, and Vincent To Yee Ng. Investigating Learning Behaviors and Intervention Effectiveness of Students with Special Educational Needs. International Conference on Blended Learning (ICBL). Singapore: Springer Nature Singapore, 2024.
Ju Chengyi, Jiannong Cao, Yu Yang, Zhen-Qun Yang, Ho Man Lee. Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach. 2023 IEEE International Conference on Data Mining Workshops (ICDMW), IEEE, 2023.
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, Dec 8, 2022.
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 Theory (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 the art in theory and demonstrate the potential for changing ways of thinking))
运用机器学习、人工智能和大数据技术支持香港中小学的教学和学习。
新冠肺炎期间，研发的针对中风和慢性病患者的康复系统在香港的超过35家康复中心和50多家家庭中使用。该项工作于2021年3月被香港TVB报道， 在2021年12月于新加坡举行的第九届2021年乐龄护理创新奖中荣获 “最佳康复项目奖”，并在2021年12月的“香港信息和通讯技术奖2021”中荣获智慧生活（智慧医疗）“优异奖”。
用于英汉双语写作和翻译的计算机辅助教学和学习的在线平台。
英语学习者写作中的神经网络语法错误检测和纠正模型。
商品图像领域自适应近似重复检索的上下文降噪方法。发表于 2017 年IEEE Transactions on Image Processing (TIP)。
交互式视频搜索的指导性主动学习。在ACM多媒体会议上发表为一篇长篇论文。
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