李烨,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、先进院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、深圳市海外高层次人才A类、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。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23篇。担任Information Fusion(IF=12.975)编委、IEEE Journal of Biomedical and Health Informatics(IF=5.772)连续两年新冠特刊编辑和Physiological Measurement (IF=2.833)期刊编辑和国际咨询顾问等,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46件,其中外国发明专利4件,9件已转化到企业,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,获中华医学会卫生管理奖、广东省科学技术奖技术发明二等奖,广东省专利优秀奖,深圳市抗击疫情先进集体等。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,累计经费超过一个亿。

联系方式:ye.li@siat.ac.cn

个人主页:http://www.bit-siat.com/index.php?s=/Show/index/cid/10/id/1.html

研究领域

     长期从事健康信息学研究,主要面向心血管急性事件、情绪与认知行为开展感知与计算研究。主要有以下三个方面:

  1.  可穿戴感知:多生理信号无感检测,可穿戴医学芯片与设备;
  2.  健康大数据挖掘:多模态数据融合,疾病风险建模,人工智能辅助诊断;
  3.  健康物联网:轻量化通信协议,生物认证;

教育背景

2002-08--2006-12   美国亚利桑那州立大学   博士学位
1999-07--2002-07   电子科技大学   硕士学位
1995-09--1999-07   电子科技大学   学士学位

工作经历

   
工作经历

2021.08-至今:中国科学院深圳先进技术研究院,数字所 所长

2011-12-至今:中国科学院深圳先进技术研究院,生物医学信息技术研究中心  研究中心主任

2008.02-至今:中国科学院深圳先进技术研究院,历任助理研究员、副研究员,现任研究员

社会兼职

1. 2021-至今,世界卫生组织(WHO)数字化健康信息系统指南专家

2. 2020-2021, IEEE Journal of Biomedical and Health Informatics (IF= 5.772), 连续两年新冠特刊编辑

3. 2018-至今, Information Fusion (IF=12.975). 编委

4. 2017-至今, Physiological measurement (IF=2.833). 编委, 国际咨询顾问





出版信息

长期从事交叉学科“健康信息学”研究,累计发表文章160余篇,近五年发表论文88篇,其中SCI检索54篇,作为通讯作者38篇。代表性文章如下:

发表论文
[1] 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 ASSOCIATION: CARDIOVASCULAR AND CEREBROVASCULAR DISEASE[J]. 2022, 11(7): [2] Ruxin Wang, Shuyuan Chen, Chaojie Ji, Jianping Fan, Ye Li. Boundary-aware context neural network for medical image segmentation. MEDICAL IMAGE ANALYSIS. 2022, 78: [3] Wang, Ruxin, Chen, Shuyuan, Ji, Chaojie, Li, Ye. Cascaded context enhancement network for automatic skin lesion segmentation. EXPERT SYSTEMS WITH APPLICATIONS[J]. 2022, 201: http://dx.doi.org/10.1016/j.eswa.2022.117069.
[4] Ni, Zhiqiang, Sun, Fangmin, Li, Ye. Heart Rate Variability-Based Subjective Physical Fatigue Assessment. SENSORS[J]. 2022, 22(9): http://dx.doi.org/10.3390/s22093199.
[5] Zhiqiang Ni, Fangmin Sun, Ye Li. Deep Multi-Branch Two-Stage Regression Network for Accurate Energy Expenditure Estimation with ECG and IMU Data. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING[J]. 2022, [6] Mai, Yaozong, Chen, Zizhao, Yu, Baoxian, Li, Ye, Pang, Zhiqiang, Han, Zhang. Non-Contact Heartbeat Detection Based on Ballistocardiogram Using UNet and Bidirectional Long Short-Term Memory. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2022, 26(8): 3720-3730, [7] Zengding Liu, Bin Zhou, Zhiming Jiang, Xi Chen, Li Ye, Min Tang, Fen Miao. Multiclass Arrhythmia Detection and Classification from Photoplethysmography Signals Using a Deep Convolutional Neural Network. Journal of the American Heart Association[J]. 2022, [8] 王怡珊, 苗芬, 安奇, 刘增丁, 陈聪, 李烨. Wearable Multimodal Vital Sign Monitoring Sensor with Fully Integrated Analog Front End. IEEE SENSORS JOURNAL[J]. 2022, [9] Chen, Xianhui, Chen, Ying, Ma, Wenjun, Fan, Xiaomao, Li, Ye. Toward sleep apnea detection with lightweight multi-scaled fusion network. KNOWLEDGE-BASED SYSTEMS[J]. 2022, 247: http://dx.doi.org/10.1016/j.knosys.2022.108783.
[10] Ruxin Wang, Chaojie Ji, Yuxiao Zhang, Li Ye. Focus, Fusion and Rectify: Context-Aware Learning for COVID-19 Lung Infection Segmentation. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2021, [11] Fangmin Sun, Weilin Zang, Huang, Haohua, Ildar Farkhatdinov, Ye, Li. Accelerometer-Based Key Generation and Distribution Method for Wearable IoT Devices. IEEE INTERNET OF THINGS JOURNAL[J]. 2021, 1636-1650, [12] 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[J]. 2021, 833-842, [13] 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[J]. 2021, [14] Fen Miao, Zhou Bin, 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 Research[J]. 2021, [15] Fan, Xiaomao, Hu, Zhejing, Wang, Ruxin, Yin, Liyan, Li, Ye, Cai, Yunpeng. A novel hybrid network of fusing rhythmic and morphological features for atrial fibrillation detection on mobile ECG signals. NEURAL COMPUTING & APPLICATIONS[J]. 2020, 32(12): 8101-8113, http://dx.doi.org/10.1007/s00521-019-04318-2.
[16] Ning, Zhaolong, Dong, Peiran, Wang, Xiaojie, Obaidat, Mohammad S, Hu, Xiping, Guo, Lei, Guo, Yi, Huang, Jun, Hu, Bin, Li, Ye. When Deep Reinforcement Learning Meets 5G-Enabled Vehicular Networks: A Distributed Offloading Framework for Traffic Big Data. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS[J]. 2020, 16(2): 1352-1361, https://www.webofscience.com/wos/woscc/full-record/WOS:000521337000060.
[17] Fangmin Sun, Weilin Zang, Raffaele Gravina, Giancarlo Fortino, Ye, Li. Gait-based identification for elderly users in wearable healthcare systems. INFORMATION FUSION[J]. 2020, 134-144, [18] Qihang Yao, Ruxin Wang, Xiaomao Fan, LIU Jikui, Ye, Li. Multi-class Arrhythmia detection from 12-lead varied-length ECG using Attention-based Time-Incremental Convolutional Neural Network. INFORMATION FUSIONnull. 2020, 174-182, [19] Zang, Weilin, Miao, Fen, Gravina, Raffaele, Sun, Fangmin, Fortino, Giancarlo, Li, Ye. CMDP-based intelligent transmission for wireless body area network in remote health monitoring. NEURAL COMPUTING & APPLICATIONS[J]. 2020, 32(3): 829-837, https://www.webofscience.com/wos/woscc/full-record/WOS:000512022900017.
[20] Miao, Fen, Liu, ZengDing, Liu, JiKui, Wen, Bo, He, QingYun, Li, Ye. Multi-Sensor Fusion Approach for Cuff-Less Blood Pressure Measurement. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2020, 24(1): 79-91, http://dx.doi.org/10.1109/JBHI.2019.2901724.
[21] 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[J]. 2020, 2754-2764, [22] Wang, Ruxin, Yao, Qihang, Fan, Xiaomao, Li, Ye, IEEE. Multi-class Arrhythmia Detection based on Neural Network with Multi-stage Features Fusion. 2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC)null. 2019, 4082-4087, [23] Miao, Fen, Wang, Xurong, Yin, Liyan, Li, Ye. A Wearable Sensor for Arterial Stiffness Monitoring Based on Machine Learning Algorithms. IEEE SENSORS JOURNAL[J]. 2019, 19(4): 1426-1434, https://www.webofscience.com/wos/woscc/full-record/WOS:000457327900027.
[24] Li Ye. An Efficient Extraction Approach of Heart Rate Variability from Real-time Smartphone Videos. IEEE International Conference on Real-time Computing and Robotics. 2019, [25] Liu, ZengDing, Miao, Fen, Wang, Ruxin, Liu, Jikui, Wen, Bo, Li, Ye, IEEE. Cuff-less Blood Pressure Measurement Based on Deep Convolutional Neural Network. 2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)null. 2019, 3775-3778, [26] Sun, Fangmin, Mao, Chenfei, Fan, Xiaomao, Li, Ye. Accelerometer-Based Speed-Adaptive Gait Authentication Method for Wearable IoT Devices. IEEE INTERNET OF THINGS JOURNAL[J]. 2019, 6(1): 820-830, [27] Zhang, Jialun, Wu, Dan, Li, Ye, IEEE. Cuff-less and Calibration-free Blood Pressure Estimation Using Convolutional Autoencoder with Unsupervised Feature Extraction. 2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)null. 2019, 3323-3326, [28] Zhang, Hao, Li, Ye. A Low-Power Dynamic-Range Relaxed Analog Front End for Wearable Heart Rate and Blood Oximetry Sensor. IEEE SENSORS JOURNAL[J]. 2019, 19(19): 8387-8392, [29] Liu, Jikui, Yin, Liyan, He, Chenguang, Wen, Bo, Hong, Xi, Li, Ye. A Multiscale Autoregressive Model-Based Electrocardiogram Identification Method. IEEE ACCESS[J]. 2018, 6: 18251-18263, https://doaj.org/article/1c6f6a615ea8468fb81768333e31e406.
[30] Fan, Xiaomao, Yao, Qihang, Cai, Yunpeng, Miao, Fen, Sun, Fangmin, Li, Ye. Multiscaled Fusion o Deep Convolutional Neural Networks for Screening Atrial Fibrillation From Single Lead Short ECG Recordings. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2018, 22(6): 1744-1753, http://dx.doi.org/10.1109/JBHI.2018.2858789.
[31] Miao, Fen, Cai, YunPeng, Zhang, YuXiao, Fan, XiaoMao, Li, Ye. Predictive Modeling of Hospital Mortality for Patients With Heart Failure by Using an Improved Random Survival Forest. IEEE ACCESS[J]. 2018, 6: 7244-7253, https://doaj.org/article/36d03b388bec4e58958bc75d60826a60.
[32] Miao, Fen, Fu, Nan, Zhang, YuanTing, Ding, XiaoRong, Hong, Xi, He, Qingyun, Li, Ye. A Novel Continuous Blood Pressure Estimation Approach Based on Data Mining Techniques. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2017, 21(6): 1730-1740, http://www.chinair.org.cn/handle/1471x/1747950.
[33] Weilin Zang, Ye Li. Gait Cycle Driven Transmission Power Control Scheme for Wireless Body Area Network. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2017, http://ir.siat.ac.cn:8080/handle/172644/12623.
[34] Sun, Fangmin, Yi, Chenfu, Li, Ye. Battery-friendly scheduling policy in MAC layer for WBAN data packets transmission. IET COMMUNICATIONS[J]. 2017, 11(9): 1423-1430, http://www.chinair.org.cn/handle/1471x/1747936.
[35] Dai, Huhe, Yin, Liyan, Li, Ye. QRS residual removal in atrial activity signals extracted from single lead: a new perspective based on signal extrapolation. IET SIGNAL PROCESSING[J]. 2016, 10(9): 1169-1175, http://www.chinair.org.cn/handle/1471x/1747916.
[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[J]. 2016, 3427-3437, [37] Miao, Fen, Cheng, Yayu, He, Yi, He, Qingyun, Li, Ye. A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone. SENSORS[J]. 2015, 15(5): 11465-11484, https://doaj.org/article/afa0e3e46da44da7b4eb476a10278018.
[38] Yi, Chenfu, Wang, Lili, Li, Ye. Energy Efficient Transmission Approach for WBAN Based on Threshold Distance. IEEE SENSORS JOURNAL[J]. 2015, 15(9): 5133-5141, https://www.webofscience.com/wos/woscc/full-record/WOS:000358648200051.
[39] Miao, Fen, He, Yi, Liu, Jinlei, Li, Ye, Ayoola, Idowu. Identifying typical physical activity on smartphone with varying positions and orientations. BIOMEDICAL ENGINEERING ONLINE[J]. 2015, 14(1): https://www.webofscience.com/wos/woscc/full-record/WOS:000353327400001.
[40] He, Yi, Li, Ye. Physical Activity Recognition Utilizing the Built-In Kinematic Sensors of a Smartphone. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS[J]. 2013, 9: https://doaj.org/article/e6beb15a1402439bb2b66b5650c84f62.
[41] He, Chenguang, Fan, Xiaomao, Li, Ye. Toward Ubiquitous Healthcare Services With a Novel Efficient Cloud Platform. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING[J]. 2013, 60(1): 230-234, https://www.webofscience.com/wos/woscc/full-record/WOS:000312897900020.
[42] Liang, Yuanjun, Li, Ye. Closed-Form Expressions for the Resistance and the Inductance of Different Profiles of Through-Silicon Vias. IEEE ELECTRON DEVICE LETTERS[J]. 2011, 32(3): 393-395, https://www.webofscience.com/wos/woscc/full-record/WOS:000287658400057.
[43] Li, Ye, Li, Honggang, Zhang, Yuwei, Qiao, Dengyu. Packet transmission policies for battery operated wireless sensor networks. FRONTIERS OF COMPUTER SCIENCE IN CHINA[J]. 2010, 4(3): 365-375, https://www.webofscience.com/wos/woscc/full-record/WOS:000292504800007.
[44] Li Ye. Green Technologies for Implanted Wireless Sensor Nodes. IEEE Transactions on Information Technology in Biomedicine. 2010, [45] Qiao, Dengyu, Li, Ye, Zhang, Yuwei. Energy Efficient Video Transmission over Fast Fading Channels. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING[J]. 2010, https://doaj.org/article/0b7de24f97724010b8284031f23f2761.
[46] Li, Ye, Reisslein, Martin, Chakrabarti, Chaitali. Energy-Efficient Video Transmission Over a Wireless Link. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY[J]. 2009, 58(3): 1229-1244, https://www.webofscience.com/wos/woscc/full-record/WOS:000264631900016.
[47] Li, Ye, Bakkaloglu, Bertan, Chakrabarti, Chaitali. A system level energy model and energy-quality evaluation for integrated transceiver front-ends. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS[J]. 2007, 15(1): 90-103, https://www.webofscience.com/wos/woscc/full-record/WOS:000244803900010.
[48] Energy-Quality System Design for Wireless Communication. http://ir.siat.ac.cn:8080/handle/172644/2603.
[49] MobiHealthcare System: Body Sensor Network based M-Health System for Healthcare Application. http://ir.siat.ac.cn:8080/handle/172644/3977.
[50] Power-Aware Wireless Communication System Design for Body Area Networks. http://ir.siat.ac.cn:8080/handle/172644/4825.
[51] The Logistic Regression Analysis on Risk Factors of Hypertension among Peasants in East China & Its Results Validating. http://ir.siat.ac.cn:8080/handle/172644/4826.
[52] Falling-Incident Detection and Alarm by Smartphone with Multimedia Messaging Service (MMS). http://ir.siat.ac.cn:8080/handle/172644/3978.
标准

李烨研究员产生的诸多原创性研究成果受行业认可,主笔和参编了7项移动健康/电子健康领域国际(ITU)/国家(GB)/行业(CCSA)标准,其中5项已发布,2项正在批准中:

1.   行业标准,中国通信标准化协会标准,YDB 175-2017,泛在物联网应用-电子健康与电子医疗-业务场景分类,正式发布

2.   行业标准,中国通信标准化协会标准,YDB 176-2017,泛在物联网应用-电子健康与电子医疗-移动健康总体需求,正式发布

3.   国家标准,中华人民共和国国家标准,GB/T 40028.2-2021,智慧城市-智慧医疗第2部分:移动健康,正式发布

4.   国际标准,国际电信联盟标准,ITU-T Y.2065,SERIES Y: GLOBAL INFORMATION INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS AND NEXT-GENERATION NETWORKS-Next Generation Networks – Frameworks and functional architecture models-Service and capability requirements for e-health monitoring services,正式发布

5.   国际标准,国际电信联盟标准,ITU-T Y.2075,SERIES Y: GLOBAL INFORMATION INFRASTRUCTURE, INTERNET PROTOCOL ASPECTS AND NEXT-GENERATION NETWORKS-Next Generation Networks – Frameworks and functional architecture models-Capability framework for e-health monitoring services,正式发布

6.   国家标准计划,20150023-T-339,公众电信网增强-移动健康的需求,批准中。

7.  国家标准计划,20150030-T-339,公众电信网增强-支持医疗健康监测业务的需求,批准中。

科研活动

 

科研项目
( 1 ) 国家自然科学基金联合基金-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(246万元), 主持, 国家级, 2020-01--2023-12
( 2 ) 中国科学院战略性先导科技专项(B类)-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(1700万元), 主持, 部委级, 2020-01--2024-12
( 3 ) 国家重点研发计划-新型研发机构创新服务平台技术研发与应用(1900万元), 主持, 国家级, 2021-12--2024-11
( 4 ) 企业委托-华为技术有限公司-可穿戴技术研究(603万元), 主持, 院级, 2016-03--2023-02
参与会议
(1)心血管健康信息学   2021年CCF生物信息学前沿科学系列论坛暨生物信息学广州高端论坛会议    2021-04-17
(2)可穿戴设备与血压监测   2020中国心脏大会(CHC)暨第五届中国血管大会(CVC)暨第一届中国健康生活方式大会(CHMC)   2020-09-12
(3)数据驱动的智慧医疗   全国老年血管健康管理高峰论坛 亚太血管学术联盟深圳会议   2018-06-07
(4)Unobtrusive Sensing for Exercise and Sleep Monitoring   IEEE BHI 健康信息学年会   2018-03-03

指导学生

已指导学生

郑卓远  博士研究生  081203-计算机应用技术  

李洪刚  博士研究生  081203-计算机应用技术  

梁远军  博士研究生  080903-微电子学与固体电子学  

孙佳平  硕士研究生  081002-信号与信息处理  

罗小琴  硕士研究生  081203-计算机应用技术  

沈子骁  硕士研究生  083100-生物医学工程  

温美英  硕士研究生  081203-计算机应用技术  

李鑫  硕士研究生  430109-电子与通信工程  

孙东芳  硕士研究生  085208-电子与通信工程  

管婷婷  硕士研究生  081002-信号与信息处理  

徐达  硕士研究生  081002-信号与信息处理  

臧威麟  博士研究生  081104-模式识别与智能系统  

何晨光  博士研究生  081203-计算机应用技术  

樊小毛  博士研究生  081203-计算机应用技术  

闻博  硕士研究生  085211-计算机技术  

高明慧  硕士研究生  085211-计算机技术  

刘记奎  博士研究生  081203-计算机应用技术  

蒋志铭  硕士研究生  085211-计算机技术  

郝思融  硕士研究生  085208-电子与通信工程  

现指导学生

倪志强  硕士研究生  081002-信号与信息处理  

刘增丁  博士研究生  081203-计算机应用技术  

杭玉洁  硕士研究生  085400-电子信息  

刘泽宇  硕士研究生  085400-电子信息  

招生专业

担任数字所计算机学科组组长,深圳市鹏城学者。目前以下专业招收博士生、硕士生。


计算机应用技术

计算机科学与技术

信号与信息处理

电子信息