李烨（Li Ye），研究员（二级），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，国家级人才
国家重点研发计划首席，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，入选WX创新国家级人才、广东省创新领军人 才、深圳孔雀A类人才等。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,多年入选全球前2%科学家榜单。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，近年来围绕医疗健康检测技术、健康大数据挖掘、医学人工智能等领域，共发表文章200余篇，其中SCI期刊论文90余篇。担任《Information Fusion》《IEEE Transactions on Consumer Electronics》《IEEE Journal of Biomedical and Health Informatics》期刊副主编（Associate edito r），《Physiological Measurement》执行编辑，作为大会主席主办中国人工智能学会生 物信息与智能信息处理（BIIP 2025）、第15届全国可穿戴计算学术会议（2025）等超过 500人的国内重要大会；作为主席和分会主席组织 ACM/IEEE 国际学术会议10余次。 担任教育部 CJ 学者、基金委人才项目、创新群体、重点基金、国家重点研发计划项目的 评审专家。组织了首届深圳医疗健康大数据创新应用国际大赛。近年来被授权国内外发明专利110余项，包括中国、美国、日本、韩国等，26项核心知识产权实现科技成果转化，转化金额已超过千万元，主笔了电子健康相关国家/行业标准5项。带领团队开发了3个获医疗器械注册证的产品，；可穿戴智能系统因精度和功耗优势入选并保障国家载人深潜、航天、登月等重大工程；成果获吴文俊人工智能科学技术奖、广东省科学技术发明奖、专利奖、中华医学会卫生管理奖等。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。
联系方式：ye.li@siat.ac.cn
代表项目：
1、国家重点研发计划， 2021YFF0901100，2021.12至2024.11，1900万，结题，主持
2、国家自然科学基金委员会，联合基金项目，U2241210，2023-01至2026-12，266万，在研，主持
3、国家科技部863计划，SS2015AA020109，2015-01至2017-12，1244万元，结题，主持
4、中国科学院战略性先导科技专项（B类），XDB38040000，2020-01至2024-12，1700万元，结题，项目四主持
5、国家发展改革委员会，2018-01至2020-12，1500万，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.
