李烨（Li Ye），博士，研究员，博士生导师。中国科学院深圳先进技术研究院数字所所长、生物医学信息技术研究中心主任、中国科学院健康信息学重点实验室副主任、健康大数据智能分析技术国家地方联合工程研究中心主任、广东省科技创新领军人才、深圳市孔雀计划A类人才、深圳市鹏城学者。英国工程技术学会会士（IET Fellow），英国皇家公共卫生学会会士（RSPH Fellow）, WHO 数字化健康信息系统指南专家,入选2021年年度全球前2%科学家。
2008年作为海外引进人才全职回国在中科院深圳先进院工作，建立了健康信息学交叉团队，近年来围绕可穿戴传感与健康大数据分析技术，共发表文章160余篇，其中SCI检索论文60余篇，IEEE期刊论文超30篇。担任Information Fusion（IF=17.564）编委、IEEE Journal of Biomedical and Health Informatics（IF=7.021）连续两年新冠特刊编辑和Physiological Measurement (IF=2.688)期刊编辑等，并多次担任IEEE/ACM普适计算和生物医学信息技术领域重要国际会议如PICom、BodyNet、EMBC、BSN&BHI、UIC的组织委员会成员或分会主席，组织了首届深圳医疗健康大数据创新应用国际大赛。被授权发明专利60件，其中外国发明专利8件，10件已转化到企业，转化金额达936万，获3个医疗器械注册证，主笔电子健康相关国家/行业标准5项，以第一完成人获广东省科学技术奖技术发明二等奖1项，深圳市技术发明二等奖1项，广东省专利优秀奖1项，带领团队获2020年“深圳市抗击疫情先进集体”。承担国家重点研发项目、国自然联合基金重点项目、科技部863计划、中国科学院战略先导科技专项（B类）等国家和省部级科技项目，累计经费超过一个亿。
联系方式：ye.li@siat.ac.cn
代表项目：
1、国家重点研发计划， 2021YFF0901100，新型研发机构创新服务平台技术研发与应用，2021.12至2024.11，1900万，在研，主持
2、国家自然科学基金委员会，联合基金项目，U2241210，基于生理与操控特征的密闭空间人员实时情绪状态测评方法研究，2023-01至2026-12，266万，在研，主持
3、国家自然科学基金委员会，联合基金项目，U1913210，经皮股动脉介入术后体征监测与穿刺点即刻止血机器人关键技术研究，2020-01至2023-12, 246万元，在研，主持
4、国家自然科学基金委员会，面上项目，61771465，基于多参数融合的高分辨率连续血压测量方法研究，2018-01至2021-12，68万，在研，主持
5、国家科技部863计划，SS2015AA020109，面向区域医疗和公共卫生的健康大数据处理分析研究及示范应用，2015-01至2017-12，1244万元，结题，主持
6、国家科技部中央引导地方科技发展专项资金项目，穿戴式信息技术与系统创新平台，2016-09至2019-09，250万，结题，主持
7、“新一代宽带无线移动通信网”国家科技重大专项，2011ZX03005-001，信息汇聚传感器网络综合测试与验证评估环境，2011-01至2013-12，426.8万元，结题，子课题主持
8、中国科学院战略性先导科技专项（B类），XDB38040000，多维大数据驱动的中国人群精准健康研究--项目四：数据挖掘计算与分析系统，2020-01至2024-12，1700万元，在研，项目四主持
9、中国科学院科技服务网络计划（STS计划），KFJ-STS-ZDTP-060，基于大数据的慢性病风险防控服务体系建设，2019-01至2020-06，600万，结题，主持；
10、中国人民解放军总后勤部重大项目，AWS13C008，战场***系列装置研究，2013-01至2017-03，615万元，结题，课题副组长。
11、国家发展改革委员会，健康大数据智能分析技术国家地方联合工程研究中心，2018-01至2020-12，1500万，结题，主持
12、广东省重大专项，2017B030308007，基于大数据的心血管疾病高危人群全天候监测及诊疗辅助决策系统，2017-05至2020-04，300万，结题，主持
代表论文
1. Fen Miao# , Dan Wu# , Zengding Liu, Ruojun Zhang, Min Tang, Ye Li*. Wearable sensing, big data technology for cardiovascular healthcare: current status and future prospective, Chinese Medical Journal2022
2. Guosheng Cui, Ruxin Wang, Dan Wu and Ye Li*.Incomplete Multiview Clustering using Normalizing Alignment Strategy with Graph Regularization. IEEE Transactions on Knowledge and Data Engineering2022
3. Weilin Zang, Fangmin Sun, Yunpeng Cai* and Ye Li*.Transmit Beamforming for Ambient Backscatter Communication Enabled Wireless Body Area Network in Multiuser MISO System. IEEE Transactions on Cognitive Communications and Networking2022
4. Yishan Wang; Fen Miao; Qi An; Zengding Liu; Cong Chen; Ye Li*, Wearable Multimodal Vital Sign Monitoring Sensor with Fully Integrated Analog Front End, IEEE Sensors Journal2022
5. Zhiqiang Ni, Tongde Wu, Tao Wang, Fangmin Sun*, and Ye Li*, Deep Multi-Branch Two-Stage Regression Network for Accurate Energy Expenditure Estimation with ECG and IMU Data, IEEE Transactions on Biomedical Engineering2022 2022.3.30
6. Ruxin Wang, Shuyuan Chen, Chaojie Ji, Ye Li*, Cascaded Context Enhancement Network for Automatic Skin Lesion Segmentation, Expert Systems With Applications2022
7. Zengding Liu; Bin Zhou; Zhiming Jiang; Xi Chen; Ye Li; Min Tang*; Fen Miao*.Multiclass Arrhythmia Detection and Classification from Photoplethysmography Signals Using a Deep Convolutional Neural Network, Journal of the American Heart Association2022
8. Wang Ruxin; Chen Shuyuan; Ji Chaojie; Fan Jianping *; Li Ye*.Boundary-aware context neural network for medical image segmentation. Medical Image Analysis2022
9. Guosheng Cui and Ye Li*, “Nonredundancy Regularization based Nonnegative Matrix Factorization with Manifold Learning for Multiview Data Representation”, Information Fusion, 2021
10. Ruxin Wang; Hongyan Wu; Yongsheng Wu; Jing Zheng*; Ye Li*. Improving Influenza Surveillance based on Multi-granularity Deep Spatiotemporal Neural Network. Computers in Biology and Medicine. 2021
11. Ruxin Wang; Chaojie Ji; Yuxiao Zhang*; Ye Li*. Focus, Fusion and Rectify: Context-Aware Learning for COVID-19 Lung Infection Segmentation. IEEE Transactions on Neural Networks and Learning Systems.2021
12. Yin, Peng; Meng, Juan; Chen, Jincheng; Gao, Junxiao; Wang, Dongqi; Liu, Shuyan; Guo, Qinglong; Zhu, Muchun; Zhang, Gengwei; Liu, Yingxia; Li, Ye*; Zhang, Guoliang. Antiviral drugs arbidol and interferon alpha-1b contribute to reducing the severity of COVID-19 patients: a retrospective cohort study, VIROLOGY JOURNAL2021
13. Jikui Liu; Ruxin Wang; Bo Wen; Zengding Liu; Fen Miao; Ye Li*.Myocardial Infarction Detection and Localization with Electrocardiogram Based on Convolutional Neural Network, Chinese Journal of Electronics电子学报2021
14. Fen Miao, Bin Zhou, Zengding Liu, Bo Wen, Ye Li*, Min Tang*.Using noninvasive adjusted pulse transit time for tracking beat-to-beat systolic blood pressure during ventricular arrhythmia, Hypertension research2021
15. Jikui Liu; Fen Miao*; Liyan Yin; Zhiqiang Pang; Ye Li*. A Noncontact Ballistocardiography-based IoMT System for Cardiopulmonary Health Monitoring of Discharged COVID-19 Patients. IEEE Internet of Things Journal. 2021.
16. Ruxin Wang; Chaojie Ji; Zhiming Jiang; Yongsheng Wu*; Ling Yin*; Ye Li*. A Short-Term Prediction Model at the Early Stage of the COVID-19 Pandemic Based on Multisource Urban Data. IEEE Transactions on Computational Social Systems. 2021.
17. Xiangdong Zhang; Dan Wu; Fen Miao; Hao Liu*; Ye Li*. Personalized Hemodynamic Modeling of the Human Cardiovascular System: A Reduced-Order Computing Model, IEEE Transactions on Biomedical Engineering. 2020.
18. Qihang Yao, Ruxin Wang, Xiaomao Fan, Jikui Liu, Ye Li*. Multi-class Arrhythmia detection from 12-lead varied-length ECG using Attention-based Time-Incremental Convolutional Neural Network, Information Fusion, 2020. ESI 高被引论文.
19. Fen Miao; Nan Fu; Yuan-Ting Zhang; Xiao-Rong Ding; Xi Hong; Qingyun He; Ye Li*. A Novel Continuous Blood Pressure Estimation Approach Based on Data Mining Techniques, IEEE Journal of Biomedical and Health Informatics, 2017.
20. Xiaomao Fan; Hailiang Wang; Yang Zhao*; Ye Li; Kwok Leung Tsui. An Adaptive Weight Learning-Based Multitask Deep Network for Continuous Blood Pressure Estimation Using Electrocardiogram Signals. Sensors. 2021.
21. Ruxin Wang, Jianping Fan*, Ye Li*. Deep Multi-Scale Fusion Neural Network for Multi-Class Arrhythmia Detection. IEEE Journal of Biomedical and Health Informatics. 2020.
22. Fen Miao, Bo Wen, Zhejing Hu, Giancarlo Fortino, Xiping Wang, Zengding Liu, Min Tang*, Ye Li*. Continuous Blood Pressure Measurement from One-Channel Electrocardiogram Signal Using Deep-Learning Techniques. Artificial Intelligence in Medicine. 2020.
23. Fangmin Sun， Weilin Zang, Haohua Huang, Ildar Farkhatdinov, Ye Li*. Accelerometer-Based Key Generation and Distribution Method for Wearable IoT Devices. IEEE Internet of Things Journal, 2020.
24. Fangmin Sun, Weilin Zang, Raffaele Gravina, Giancarlo Fortino, Ye Li*. Gait-based identification for elderly users in wearable healthcare systems, Information Fusion, 2020.
25. Fen Miao, Zengding Liu, Jikui Liu, Bo Wen, Qingyun He, Ye Li*. Multi-sensor Fusion Approach for Cuff-less Blood Pressure Measurement, IEEE Journal of Biomedical and Health Informatics, 2019.
26. Xiaomao Fan; Zhejing Hu; Ruxin Wang; Liyan Yin; Ye Li; Yunpeng Cai. A novel hybrid network of fusing rhythmic and morphological features for atrial fibrillation detection on mobile ECG signals. Neural Computing & Applications, 2019.
27. Zhaolong Ning; Peiran Dong; Xiaojie Wang; Mohammad S. Obaidat;Xiping Hu; Lei Guo; Yi Guo;Jun Huang; Bin Hu; Ye Li*. When Deep Reinforcement Learning Meets 5G Vehicular Networks:A Distributed Offloading Framework for Traffic Big Data. IEEE Transactions on Industrial Informatics, 2019. ESI 高被引论文.
28. Xiaomao Fan; Qihang Yao; Yunpeng Cai; Fen Miao; Ye Li*. Multi-Scaled Fusion of Deep Convolutional Neural Networks for Screening Atrial Fibrillation from Single Lead Short ECG Recordings, IEEE Journal of Biomedical and Health Informatics, 2018.
29. Fangmin Sun, Chenfei Mao, Xiaomao Fan, Ye Li*. Accelerometer-Based Speed-Adaptive Gait Authentication Method for Wearable IoT Devices. IEEE Internet of Things Journal, 2018.
30. Xiaomao Fan, Qihang Yao, Ye Li, Runge Chen, Yunpeng Cai*. Mobile GPU‑based implementation of automatic analysis method for long‑term ECG, BioMed Eng OnLine, 2018.
31. Hao Zhang, Ye Li*. A Low-Power Dynamic-Range Relaxed Analog Front End for Wearable Heart Rate and Blood Oximetry Sensor, IEEE Sensors Journal, 2018.
32. Fen Miao, Xurong Wang, Liyan Yin, Ye Li*. A Wearable Sensor for Arterial Stiffness Monitoring Based on Machine Learning Algorithms, IEEE Sensors Journal, 2018.
33. Zengding Liu; Jikui Liu; Bo Wen; Qingyun He; Ye Li; Fen Miao*. Cuffless blood pressure estimation using pressure pulse wave signals, Sensors, 2018.
34. Fangmin Sun, Chenfu Yi, Ye Li*. Battery-Friendly Scheduling Policy in MAC Layer for WBAN Data Packets Transmission, IET communications, 2017.
35. Fangmin Sun, Chenfu Yi, Weinan Li, Ye Li*. A Wearable H-shirt for Exercise ECG Monitoring and Individual Lactate Threshold Computing, Computers in Industry, 2017.
36. Weilin Zang;Shengli Zhang; Ye Li*. An Accelerometer-Assisted Transmission Power Control Solution for Energy-Efficient Communications in WBAN. IEEE Journal on Selected Areas in Communications，2016.
37. Xiaorong Ding, Ni Zhao, Guangzhong Yang, Roderic Pettigrew, Benny Lo, Fen Miao, Ye Li, Jing Liu, Yuanting Zhang*. Continuous Blood Pressure Measurement from Invasive to Unobtrusive: Celebration of 200th Birth Anniversary of Carl Ludwig, IEEE Journal of Biomedical and Health Informatics, 2016.
38. Huhe Dai, Liyan Yin, Ye Li*. QRS residual removal in atrial activity signals extracted from single lead: a new perspective based on signal extrapolation, IET Signal Processing, 2016.
39. Fen Miao, Yi He, Jinlei Liu, Ye Li*, Idowu Ayoola. Identifying typical physical activity on smartphone with varying positions and orientations, Biomedical Engineering OnLine, 2015
40. Fen Miao, Yayu Cheng, Yi He, Qingyun He, Ye Li*. A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone, Sensors, 2015.
41. Chenguang He, Xiaomao Fan, Ye Li*，Toward Ubiquitous Healthcare Services with A Novel Efficient Cloud Platform, IEEE Transactions on Biomedical Engineering, 2013.
