赵杨

副教授

E-mail：zhaoy393@mail.sysu.edu.cn

研究方向：医学健康人工智能、多模态传感信号融合分析与建模、高维时空数据机器学习

教师简介

赵杨，副教授，硕士生导师，百人计划引进人才，IEEE Senior Member。擅长智慧健康监测领域的研究，结合人工智能围绕疾病风险评估算法、多模态生理信号融合建模、时空预测方法等方面开展学术研究。主持国家自然科学基金青年项目、广东省自然科学基金面上项目、深圳市自然科学基金面上项目等，作为骨干成员参与国家重点研发计划、中国香港研究资助局TRS、CRF等重大纵向科研项目以及深港澳科技计划项目10余项。近年来在领域权威期刊发表SCI检索论文60余篇，其中第一或唯一通讯作者40余篇，Google学术总引用量2800余次，H因子28。

 

课题组招收博士后、研究生及优秀本科生。课题组学术活跃、氛围轻松融洽，欢迎具有计算机、数学、统计学、数据科学等相关背景的同学联系咨询！

 

工作经历

2026/07-至今，中山大学，智能工程学院，副教授

2021/04-2026/07，中山大学，生物安全学院（原公共卫生学院（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

 

研究方向

医学健康人工智能、多模态传感信号融合分析与建模、高维时空数据机器学习

 

主要科研项目

  1. 广东省自然科学基金面上项目（2026-2028），在研，主持
  2. 深圳市自然科学基金面上项目（2025-2027），在研，主持
  3. 国家科技重大专项（2025-2028），在研，任务负责人
  4. 广东特支计划青年拔尖人才项目（2025-2028），在研，课题负责人
  5. 广东省自然科学基金面上项目（2025-2027），在研，主持
  6. 国家重点研发计划（2023-2026），在研，骨干成员
  7. 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
  8. 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
  9. 中山大学高校基本科研业务费项目（2022-2022），结题，主持
  10. 中山大学百人计划启动项目（2021-2024），在研，主持
  11. 国家自然科学基金青年项目（2020-2022），结题，主持

 

代表性学术论文

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

 

  1. Huang K, Wu R, Liu X, Liao J, Zhao Y*. Wearable sensor-based Mild Cognitive Impairment Identification: A Multi-Domain Gait Analysis Approach with Association Rule Mining, IEEE Transactions on Neural Systems & Rehabilitation Engineering. Accepted on 2026 Jun 22.
  2. Liao Y, Xiao Y, Zhang L, Yu L, Xiang J, Zhao Y*. Enhancing 3D Human Pose Reconstruction from Depth Sensors: Uncertainty-Constrained Bayesian Ridge Regression Approach, IEEE Transactions on Instrumentation and Measurement. Accepted on 2026 Jan 16. 
  3. Wu R, Huang K, Tsui KL, Xiang J, Zhao Y*. Sensor-Based Digital Biomarkers for Early Identification of Cognitive Frailty: A Systematic Review. IEEE Journal of Biomedical and Health Informatics. Accepted on 2025 Dec 15.
  4. Zhao Q, Wu R, Chen M, Tsui KL, Zhao Y*. MIEF-Net: multimodal image-enhanced fusion network for intelligent fall risk prediction. Neural Networks. Accepted on 2025 Oct 30, p.108260.
  5. Xiao Y, Fan X, Liao Y, Yang C, Zhao Y*. A 3D UNet-based fusion network for brain tumor segmentation with missing modalities. Neurocomputing. Accepted on 2025 Sep 24:131642.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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
  11. 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.
  12. 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
  13. 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.
  14. 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. 
  15. 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.
  16. 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. 
  17. 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.
  18. 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
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. He Y, Zhao Y*, Tsui KL. An adapted geographically weighted LASSO (Ada-GWL) model for predicting subway ridership. Transportation. 2020 Feb 20:1-32.
  30. 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.
  31. 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.
  32. Tsui KL, Zhao Y*, Wang D. Big data opportunities: System health monitoring and management. IEEE Access. 2019 May 20;7:68853-67.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. Zhao Y, Shrivastava AK*, Tsui KL. Imbalanced classification by learning hidden data structure. IIE Transactions. 2016 Jul 2;48(7):614-28.

 

学生培养

  1. 课题组研究生在校期间均荣获校级奖学金或国家奖学金。毕业后入职高科技公司从事算法工程师、数据分析师等工作，或获得全额奖学金赴UNSW、香港理工大学等海外名校攻读博士学位；

  2. 指导我校同学在国内外各类学科竞赛中获奖10余项（例如2024全国大学生统计建模大赛全国二等奖、2023全国大学生统计建模大赛广东省一等奖、 2023年美国大学生数学建模大赛一等奖等）；

  3. 指导本科生获首批“深圳市医学研究专项-人才提升型”项目支持（本科生PI，资助金额:5万元，2024年以“优秀”评级结题）；

  4. 指导本科生在国际权威期刊《IEEE IOTJ》、《Neural Networks》等国际权威期刊上发表原创性学术论文多篇（本科生一作）。

 

社会兼职

  1. 广东省精准医学应用学会-医学大数据与人工智能分会常务委员

  2. Frontiers in Psychiatry等期刊的客座编辑

  3. 长期担任领域多种权威期刊（如IEEE Transactions on Industrial Informatics，IEEE Transactions on Cybernetics，IEEE Journal of Biomedical and Health Informatics, Technometrics，Journal of Medical Internet Research等）审稿人）

 

联系方式

zhaoy393@mail.sysu.edu.cn