副教授，硕士生导师，百人计划引进人才

研究方向

医学健康人工智能、运动传感大数据分析、流行病时空预测建模

 

工作经历

2021/04-至今，中山大学，公共卫生学院（深圳），副教授

2017/03-2021/03，香港城市大学，系统信息学工程研究中心，科学主任

2015/11-2017/02，香港城市大学，系统工程与工程管理系，博士后研究员

 

教育经历

2011/08-2015/10，香港城市大学，系统工程与工程管理，博士

2007/09-2011/06，山东科技大学，统计学，学士

 

讲授课程

本科生课程：线性代数，卫生统计学，医学统计学，概率论，R语言与统计分析，医学信息学基础，公共卫生专业英语

研究生课程：公共卫生与人工智能，医学统计学进阶，医学信息学编程，概率论与数理统计

 

承担课题及科研项目

广东省自然科学基金面上项目（2025-2027），在研，主持

国家重点研发计划（2023-2026），在研，骨干成员

中山大学高校基本科研业务费培育项目（有组织学科交叉团队项目）（2024-2024），在研，主要成员

深圳市科技计划项目深港澳科技计划（C类）（2022-2025），在研，核心成员

中山大学高校基本科研业务费项目（2022-2022），结题，主持

中山大学百人计划启动项目（2021-2024），在研，主持

国家自然科学基金青年项目（2020-2022），结题，主持

 

代表性文章

（Google Scholar link：https://scholar.google.com/citations?user=nxvf0TEAAAAJ&hl=en）

  1. Chen M, Yu L, Zhao Q, Wang X, Yeung EH, Tsui KL, Wang H, Zhao Y*. A Data-knowledge Driven Approach with Wearable Sensors for Intelligent Gait Disorders Identification Biomedical Signal Processing and Control. Accepted on 2025 Jun 27.
  2. Liao Y, Cao J, Yu L, Xiang J, Zhao Y*. A Multi-sensor Gait Dataset Collected Under Non-standardized Dual-Task Conditions. Scientific Data. Accepted on 2025 Jun 25.
  3. Wang X, Yu L, Qin SJ, Zhao Y*. A Novel Dynamic Latent Variables-Based Framework for Enhancing Freezing of Gait Detection in Parkinson's Disease Patients. IEEE Journal of Biomedical and Health Informatics. Accepted on 2025 May 5.
  4. Chen M, Zhang L, Yu L, Yeung EH, Zhao Q, Cao J, Wang X, Huang J, Wang H, Zhao Y*. An advanced integrated sensor-based method for fall risk assessment in rehabilitation setting. IEEE Sensors Journal. Accepted on 2025 Mar 10.
  5. Luo J, Wang X, Fan X, He Y, Du X, Chen YQ, Zhao Y*. A novel graph neural network based approach for influenza-like illness nowcasting: exploring the interplay of temporal, geographical, and functional spatial features. BMC Public Health. 2025 Feb 1;25(1):408
  6. Mao Q, Zhao Z, Yu L, Zhao Y, Wang H. The Effects of Virtual Reality–Based Reminiscence Therapies for Older Adults With Cognitive Impairment: Systematic Review. Journal of medical Internet research. 2024 Nov 12;26:e53348.
  7. Wang X, Yu L, Wang H, Tsui KL, Zhao Y*. "Sensor-Based Multifaceted Feature Extraction and Ensemble Elastic Net Approach for Assessing Fall Risk in Community-Dwelling Older Adults." IEEE J Biomed Health Inform. vol. 28, no. 11, pp. 6661-6673, Nov. 2024
  8. Zhao Q, Fan X, Chen M, Xiao Y, Wang X, Yeung EH, Tsui KL, Zhao Y*. MSS-Former: Multi-Scale Skeletal Transformer for Intelligent Fall Risk Prediction in Older Adults. IEEE Internet of Things Journal. vol. 11, no. 20, pp. 33040-33052.
  9. Mao Q, Zhang J, Yu L, Zhao Y, Luximon Y, Wang H. Effectiveness of sensor-based interventions in improving gait and balance performance in older adults: systematic review and meta-analysis of randomized controlled trials. Journal of NeuroEngineering and Rehabilitation. 2024 May 28;21(1):85. 
  10. Wang, X, Cao, J, Zhao, Q, Chen, M, Luo, J, Wang, H, Yu, L, Tsui, KL and Zhao, Y*. Identifying sensors-based parameters associated with fall risk in community-dwelling older adults: an investigation and interpretation of discriminatory parameters. BMC Geriatrics, 24(1), p.125.
  11. Zhao Y, Yu L, Fan X, Pang MY, Tsui KL, Wang H. Design of a Sensor-Technology-Augmented Gait and Balance Monitoring System for Community-Dwelling Older Adults in Hong Kong: A Pilot Feasibility Study. Sensors. 2023 (18), 8008. 
  12. Chen, M, Wang, H, Yu, L, Yeung, EHK, Luo, J, Tsui, KL, & Zhao, Y*. A Systematic Review of Wearable Sensor-Based Technologies for Fall Risk Assessment in Older Adults. Sensors 2022 (22), 6752.
  13. Fan X, Wang H, Zhao Y*, Huang KH, Wu YT, Sun TL, Tsui KL. Automatic fall risk assessment with Siamese network for stroke survivors using inertial sensor‐based signals. International Journal of Intelligent Systems. 2022, 37(9): 6168-6184
  14. He Y, Zhao Y*, Chen Y, Yuan HY, Tsui KL. Nowcasting influenza‐like illness (ILI) via a deep learning approach using google search data: An empirical study on Taiwan ILI. International Journal of Intelligent Systems. 2022, 37(3): 2648-74.
  15. Hsu YC, Wang H, Zhao Y, Chen F, Tsui KL. Automatic Recognition and Analysis of Balance Activity in Community-Dwelling Older Adults: Algorithm Validation. Journal of medical Internet research. 2021 Dec 20;23(12): e30135.
  16. Pan H, Zhao Y, Wang H, Li X, Leung E, Chen F, Cabrera J, Tsui KL. Influencing factors of Barthel index scores among the community-dwelling elderly in Hong Kong: a random intercept model. BMC geriatrics. 2021 Dec;21(1):1-2.
  17. Fan X, Wang H, Zhao Y*, Li Y, Tsui KL. An Adaptive Weight Learning-Based Multitask Deep Network for Continuous Blood Pressure Estimation Using Electrocardiogram Signals. Sensors. 2021 Jan;21(5):1595.
  18. Yu L, Zhao Y*, Wang H, Sun TL, Murphy TE, Tsui KL. Assessing elderly’s functional balance and mobility via analyzing data from waist-mounted tri-axial wearable accelerometers in timed up and go tests. BMC Medical Informatics and Decision Making. 2021 Dec;21(1):1-4.
  19. Liu J, Zhao Y*, Lai B, Wang H, Tsui KL. Wearable Device Heart Rate and Activity Data in an Unsupervised Approach to Personalized Sleep Monitoring: Algorithm Validation. JMIR mHealth and uHealth. 2020;8(8):e18370.
  20. Wang H, Zhao Y*, Yu L, Liu J, Zwetsloot IM, Cabrera J, Tsui KL. A personalized health monitoring system for community-dwelling elderly people in Hong Kong: design, implementation, and evaluation study. Journal of Medical Internet Research. 2020;22(9):e19223.
  21. Hsu YC, Zhao Y*, Huang KH, Wu YT, Cabrera J, Sun TL, Tsui KL. A novel approach for fall risk prediction using the inertial sensor data from the timed-up-and-go test in a community setting. IEEE Sensors Journal. 2020 Apr 13;20(16):9339-50.
  22. Tang L, Zhao Y*, Tsui KL, He Y, Pan L. A Clustering Refinement Approach for Revealing Urban Spatial Structure from Smart Card Data. Applied Sciences. 2020 Jan;10(16):5606.
  23. Fan X, Wang H, Xu F, Zhao Y*, Tsui KL. Homecare-Oriented Intelligent Long-Term Monitoring of Blood Pressure Using Electrocardiogram Signals. IEEE Transactions on Industrial Informatics. 2019 Dec 27;16(11):7150-8.
  24. He Y, Zhao Y*, Tsui KL. An adapted geographically weighted LASSO (Ada-GWL) model for predicting subway ridership. Transportation. 2020 Feb 20:1-32.
  25. Fan X, Zhao Y*, Wang H, Tsui KL. Forecasting one-day-forward wellness conditions for community-dwelling elderly with single lead short electrocardiogram signals. BMC medical informatics and decision making. 2019 Dec;19(1):1-4.
  26. He Y, Zhao Y*, Tsui KL. Geographically modeling and understanding factors influencing transit ridership: an empirical study of Shenzhen metro. Applied Sciences. 2019 Jan;9(20):4217.
  27. Tsui KL, Zhao Y*, Wang D. Big data opportunities: System health monitoring and management. IEEE Access. 2019 May 20;7:68853-67.
  28. He Y, Xu Z, Zhao Y*, Tsui KL. Dynamic evolution analysis of metro network connectivity and bottleneck identification: From the perspective of individual cognition. IEEE Access. 2018 Dec 11;7:2042-52.
  29. Tang L, Zhao Y*, Cabrera J, Ma J, Tsui KL. Forecasting short-term passenger flow: An empirical study on shenzhen metro. IEEE Transactions on Intelligent Transportation Systems. 2018 Nov 22;20(10):3613-22.
  30. Zhao Y*, Xu Q, Chen Y, Tsui KL. Using Baidu Index to Nowcast Hand-foot-mouth Disease in China: a Meta Learning Approach. BMC Infectious Diseases. 2018 Dec;18(1):1-1.
  31. Zhao Y*, Shrivastava AK, Tsui KL. Regularized Gaussian Mixture Model for High-dimensional Clustering. IEEE Transactions on Cybernetics. 2018 Jun 27;49(10):3677-88.
  32. Yu L, Chan WM, Zhao Y*, Tsui KL. Personalized health monitoring system of elderly wellness at the community level in Hong Kong. IEEE Access. 2018 Jun 20;6:35558-67.
  33. Zhao Y, Wong ZS*, Tsui KL. A framework of rebalancing imbalanced healthcare data for rare events’ classification: a case of look-alike sound-alike mix-up incident detection. Journal of healthcare engineering. 2018 May 22;2018.
  34. Guo H, Zhao Y*, Niu T, Tsui KL. Hong Kong Hospital Authority resource efficiency evaluation: via a novel DEA-Malmquist model and Tobit regression model. PloS one. 2017 Sep 8;12(9):e0184211.
  35. Wang D, Zhao Y*, Yang F, Tsui KL. Nonlinear-drifted Brownian motion with multiple hidden states for remaining useful life prediction of rechargeable batteries. Mechanical Systems and Signal Processing. 2017 Sep 1;93:531-44.
  36. Zhao Y, Shrivastava AK*, Tsui KL. Imbalanced classification by learning hidden data structure. IIE Transactions. 2016 Jul 2;48(7):614-28.

 

兼职情况

担任20余种国际期刊（如IEEE Transactions on Cybernetics，IEEE Transactions on Industrial Informatics，Journal of Medical Internet Research，Computers in Biology and Medicine等）的审稿人；担任国际权威期刊《Frontiers in Psychiatry》的客座主编

 

招生信息

招收硕士生2人左右/年，接收本科生2-3人/年进行科研培训。课题组与弗吉尼亚理工大学、香港理工大学、香港城市大学、岭南大学等海外知名高校科研团队有长期密切合作。欢迎对统计建模、数据挖掘方法和人工智能应用有兴趣的同学加入我们的课题组！

联系人：赵杨

联系方式：zhaoy393@mail.sysu.edu.cn