刘鸣-中国科学院大学-UCAS
[中文]
[English]
招生信息
教育背景
工作经历
专利与奖励
出版信息
科研活动
指导学生
基本信息
刘鸣 男 硕导 中国科学院半导体研究所电子邮件： liuming@semi.ac.cn通信地址： 中国科学院半导体研究所1号楼326邮政编码： 100084
研究领域
医疗电子；数字信号处理、机器学习及AI算法；低功耗SoC设计及应用
招生信息
招生专业
080903-微电子学与固体电子学085208-电子与通信工程
招生方向
移动医学健康应用 低功耗SoC设计 生理信号处理算法
教育背景
2005-09--今 清华大学 博士研究生 2002-09--今 清华大学 硕士研究生 1992-09--今 清华大学 工学学士
工作经历
工作简历
2012-09--今 中国科学院半导体研究所 副研究员 2010-07--今 清华大学电子工程系 博士后 1997-09--今 北京宏思电子技术有限责任公司 副总工程师
专利与奖励
专利成果
（ 1 ）&nbsp一种人工膝关节置换术压力平衡测量系统,&nbsp发明专利,&nbsp2010,&nbsp第 2 作者,&nbsp专利号: 201010034328.7
出版信息
发表论文
[1] Su, Yue, Ma, Kainan, Yuan, Fang, Tang, Jun, Liu, Ming, Zhang, Xu. High-Performance Flexible Piezoresistive Sensor Based on Ti3C2Tx MXene with a Honeycomb-like Structure for Human Activity Monitoring. MICROMACHINES[J]. 2022, 13(6):&nbsphttp://dx.doi.org/10.3390/mi13060821.[2] Su, Yue, Ma, Kainan, Zhang, Xu, Liu, Ming. Neural Network-Enabled Flexible Pressure and Temperature Sensor with Honeycomb-like Architecture for Voice Recognition. SENSORS[J]. 2022, 22(3):&nbsphttp://dx.doi.org/10.3390/s22030759.[3] Su, Yue, Ma, Kainan, Mao, Xurui, Liu, Ming, Zhang, Xu. Highly Compressible and Sensitive Flexible Piezoresistive Pressure Sensor Based on MWCNTs/Ti3C2Tx MXene @ Melamine Foam for Human Gesture Monitoring and Recognition. NANOMATERIALS[J]. 2022, 12(13):&nbsp[4] Sitao Zhang, Kainan Ma, Yibo Yin, Binbin Ren, Ming Liu. A Personalized Compression Method for Steady-State Visual Evoked Potential EEG Signals. Information[J]. 2022, 13(186):&nbsphttps://doaj.org/article/eae34acb606c42c3926036d9477011c1.[5] Liu Ming. An Algorithm for Locating PVC and SPB in Wearable ECGs. ICCSN. 2021, [6] Li, Tao, Yin, Yibo, Ma, Kainan, Zhang, Sitao, Liu, Ming. Lightweight End-to-End Neural Network Model for Automatic Heart Sound Classification. INFORMATION[J]. 2021, 12(2):&nbsphttp://dx.doi.org/10.3390/info12020054.[7] Wang, Sikai, Zhao, Kang, Liu, Ming, Jiang, Hanjun, Wang, Zhihua, Zhang, Zongwang, Kan, Huili, Chen, Ping, Zhu, Binjie. Using breath sound data to detect intraoperative respiratory depression in non-intubated anesthesia. SCIENCE CHINA-INFORMATION SCIENCES. 2021, 64(3):&nbsp213-215, https://www.webofscience.com/wos/woscc/full-record/WOS:000618049800001.[8] 沈文弢, 赵宏泽, 王思凯, 马凯南, 王毅军, 刘鸣. 基于FPGA的RSVP脑机接口系统设计. 传感器与微系统[J]. 2020, 39(9):&nbsp73-76,83, http://lib.cqvip.com/Qikan/Article/Detail?id=7102677628.[9] Yibo Yin, Kainan Ma, Ming Liu. Temporal Convolutional Network Connected with an Anti-Arrhythmia Hidden Semi-Markov Model for Heart Sound Segmentation. Applied Sciences[J]. 2020, 10: https://doaj.org/article/cbc343730e69491c824ef13682d0e138.[10] Yin, Yibo, Ma, Kainan, Liu, Ming. Temporal Convolutional Network Connected with an Anti-Arrhythmia Hidden Semi-Markov Model for Heart Sound Segmentation. APPLIED SCIENCES-BASEL[J]. 2020, 10(20):&nbsphttp://dx.doi.org/10.3390/app10207049.[11] Ma, Kainan, Liu, Ming, Li, Tao, Yin, Yibo, Chen, Hongda. A Low-Cost Improved Method of Raw Bit Error Rate Estimation for NAND Flash Memory of High Storage Density. ELECTRONICS[J]. 2020, 9(11):&nbsphttps://doaj.org/article/182b10c88af04bd8b7f2a356ec65d111.[12] Wang Sikai, Pang Bo, Liu Ming, Zhang Xu, Yuan Fang, Shen Wentao, Chen Hongda. A novel compression framework using energy-sensitive QRS complex detection method for a mobile ECG. Science China. Information Science[J]. 2019, 62(6):&nbsphttp://lib.cqvip.com/Qikan/Article/Detail?id=74708871504849574854485053.[13] Wang, Sikai, Pang, Bo, Liu, Ming, Zhang, Xu, Yuan, Fang, Shen, Wentao, Chen, Hongda. A novel compression framework using energy-sensitive QRS complex detection method for a mobile ECG. SCIENCE CHINA-INFORMATION SCIENCES. 2019, 62(6):&nbsphttp://lib.cqvip.com/Qikan/Article/Detail?id=74708871504849574854485053.[14] Sikai WANG, Bo PANG, Ming LIU, Xu ZHANG, Fang YUAN, Wentao SHEN, Hongda CHEN. A novel compression framework using energy-sensitive QRS complex detection method for a mobile ECG. 中国科学:信息科学(英文版)[J]. 2019, 192-194, http://lib.cqvip.com/Qikan/Article/Detail?id=74708871504849574854485053.[15] Yao, Zhaolin, Ma, Xinyao, Wang, Yijun, Zhang, Xu, Liu, Ming, Pei, Weihua, Chen, Hongda. High-Speed Spelling in Virtual Reality with Sequential Hybrid BCIs. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS[J]. 2018, E101D(11):&nbsp2859-2862, https://www.webofscience.com/wos/woscc/full-record/WOS:000448774200035.[16] Pang Bo, Liu Ming, Zhang Xu, Li Peng, Chen Hongda. A novel approach framework based on statistics for reconstruction and heartrate estimation from PPG with heavy motion artifacts. Science China. Information Science[J]. 2018, 61(2):&nbsp022312-1, https://www.webofscience.com/wos/woscc/full-record/WOS:000417486500020.[17] Wang, Sikai, Liu, Ming, Pang, Bo, Li, Peng, Yao, Zhaolin, Zhang, Xu, Chen, Hongda, IEEE. A new physiological signal acquisition patch designed with advanced respiration monitoring algorithm based on 3-axis accelerator and gyroscope. 2018 40TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)null. 2018, 441-444, [18] Pang, Bo, Liu, Ming, Zhang, Xu, Li, Peng, Chen, Hongda. A novel approach framework based on statistics for reconstruction and heartrate estimation from PPG with heavy motion artifacts. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2018, 61(2):&nbsphttps://www.webofscience.com/wos/woscc/full-record/WOS:000417486500020.[19] Li, Peng, Zhang, Xu, Liu, Ming, Hu, Xiaohui, Pang, Bo, Yao, Zhaolin, Jiang, Hanjun, Chen, Hongda. A 410-nW Efficient QRS Processor for Mobile ECG Monitoring in 0.18-mu m CMOS. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS[J]. 2017, 11(6):&nbsp1356-1365, [20] Peng Li, Xu Zhang, Ming Liu, Xiaohui Hu, Bo Pang, Zhaolin Yao, Hanjun Jiang, Hongda Chen. A 410-nW Efficient QRS Processor for Mobile ECG Monitoring in 0.18-μm CMOS. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS[J]. 2017, 11(6):&nbsp1356-1365, http://ir.semi.ac.cn/handle/172111/28674.[21] Li, Peng, Liu, Ming, Zhang, Xu, Hu, Xiaohui, Pang, Bo, Yao, Zhaolin, Chen, Hongda. Novel wavelet neural network algorithm for continuous and noninvasive dynamic estimation of blood pressure from photoplethysmography. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2016, 59(4):&nbsphttp://ir.semi.ac.cn/handle/172111/27980.[22] Li, Peng, Jiang, Hanjun, Yang, Wendi, Liu, Ming, Zhang, Xu, Hu, Xiaohui, Pang, Bo, Yao, Zhaolin, Chen, Hongda, IEEE. A 410-nW Efficient QRS Processor for Mobile ECG Monitoring in 0.18-mu m CMOS. PROCEEDINGS OF 2016 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS)null. 2016, 14-17, [23] Li, Peng, Liu, Ming, Zhang, Xu, Hu, Xiaohui, Pang, Bo, Yao, Zhaolin, Chen, Hongda. Novel wavelet neural network algorithm for continuous and noninvasive dynamic estimation of blood pressure from photoplethysmography. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2016, 59(4):&nbsphttp://ir.semi.ac.cn/handle/172111/27980.[24] Li Peng, Liu Ming, Zhang Xu, Hu Xiaohui, Pang Bo, Yao Zhaolin, Chen Hongda. Novel wavelet neural network algorithm for continuous and noninvasive dynamic estimation of blood pressure from photoplethysmography. Science china information sciences[J]. 2016, 59(4):&nbsphttp://oa.las.ac.cn/oainone/service/browseall/read1?ptype=JA&workid=JA201804160007990LZ.[25] Hu, Xiaohui, Zhang, Xu, Liu, Ming, Chen, Yuanfang, Li, Peng, Liu, Jialin, Yao, Zhaolin, Pei, Weihua, Zhang, Chun, Chen, Hongda. High precision intelligent flexible grasping front-end with CMOS interface for robots application. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2016, 59(3):&nbsphttp://ir.semi.ac.cn/handle/172111/27979.[26] Hu, Xiaohui, Zhang, Xu, Liu, Ming, Chen, Yuanfang, Li, Peng, Liu, Jialin, Yao, Zhaolin, Pei, Weihua, Zhang, Chun, Chen, Hongda. High precision intelligent flexible grasping front-end with CMOS interface for robots application. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2016, 59(3):&nbsphttp://ir.semi.ac.cn/handle/172111/27979.[27] Hu Xiaohui, Zhang Xu, Liu Ming, Chen Yuanfang, Li Peng, Pei Weihua, Zhang Chun, Chen Hongda. A flexible capacitive tactile sensor array with micro structure for robotic application. Science China. Information Science[J]. 2014, 57(12):&nbsp120204-1, https://www.webofscience.com/wos/woscc/full-record/WOS:000346238500006.[28] Wang, Yuan, Zhang, Xu, Liu, Ming, Pei, Weihua, Wang, Kaifeng, Chen, Hongda. An Implantable Sacral Nerve Root Recording and Stimulation System for Micturition Function Restoration. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS[J]. 2014, E97D(10):&nbsp2790-2801, https://www.webofscience.com/wos/woscc/full-record/WOS:000348141100025.[29] Li Peng, Liu Ming, Zhang Xu, Chen Hongda, IEEE. Efficient Online Feature Extraction algorithm for Spike Sorting in A Multichannel FPGA-Based Neural Recording System. 2014 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS)null. 2014, 1-4, [30] Li Peng, Liu Ming, Zhang Xu, Chen HongDa. A low-complexity ECG processing algorithm based on the Haar wavelet transform for portable health-care devices. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2014, 57(12):&nbsphttp://ir.semi.ac.cn/handle/172111/25996.[31] Wang Yuan, Zhang Xu, Han Jianqiang, Liu Ming, Chen Hongda, IEEE. A CMOS Physiological Monitoring Frontend for Wearable Health Applications. PROCESSING OF 2014 INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INFORMATION INTEGRATION FOR INTELLIGENT SYSTEMS (MFI)null. 2014, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000358878700079.[32] Li Peng, Liu Ming, Zhang Xu, Chen HongDa. A low-complexity ECG processing algorithm based on the Haar wavelet transform for portable health-care devices. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2014, 57(12):&nbsphttp://ir.semi.ac.cn/handle/172111/25996.[33] Wang Yuan, Zhang Xu, Liu Ming, Li Peng, Chen Hongda. An implantable neurostimulator with an integrated high-voltage inductive power-recovery frontend. JOURNAL OF SEMICONDUCTORS[J]. 2014, 35(10):&nbsp[34] 杜智超, 张旭, 刘鸣, 陈弘达. 低功耗高集成度CMOS神经信号放大器. 高技术通讯[J]. 2014, 24(1):&nbsp104-110, [35] Hu XiaoHui, Zhang Xu, Liu Ming, Chen YuanFang, Li Peng, Pei WeiHua, Zhang Chun, Chen HongDa. A flexible capacitive tactile sensor array with micro structure for robotic application. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2014, 57(12):&nbsphttp://ir.semi.ac.cn/handle/172111/25995.[36] Liu Ming. A Wide Measurement Range and Fast Update Rate Integrated Interface for Capacitive Sensors Array.. IEEE Trans. CAS-I: Regular Papers. 2013, [37] Gui Yun, Zhang Xu, Wang Yuan, Liu Ming, Pei Weihua, Liang Kai, Huang Suibiao, Li Bin, Chen Hongda. A multi-channel fully differential programmable integrated circuit for neural recording application. JOURNAL OF SEMICONDUCTORS[J]. 2013, 34(10):&nbsp105009-, http://ir.semi.ac.cn/handle/172111/24803.[38] Han JianQiang, Zhang Xu, Pei WeiHua, Gui Qiang, Liu Ming, Chen HongDa. A compact neural recording interface based on silicon microelectrode. SCIENCE CHINA-TECHNOLOGICAL SCIENCES[J]. 2013, 56(11):&nbsp2808-2813, http://ir.semi.ac.cn/handle/172111/24637.[39] Chen, Hong, Zhang, Xu, Liu, Ming, Hao, Wenhan, Jia, Chen, Jiang, Hanjun, Zhang, Chun, Wang, Zhihua. Low-power circuits for the wireless ligament balance measurement system in TKA. ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING[J]. 2012, 72(2):&nbsp293-302, http://ir.semi.ac.cn/handle/172111/23882.[40] Wang, Zhihua, Chen, Hong, Liu, Ming, Jiang, Hanjun, Sun, Tianjia, Zhang, Xu. A wirelessly ultra-low-power system for equilibrium measurements in total hip replacement surgery. 2012 ieee 10th international new circuits and systems conference, newcas 2012[J]. 2012, 141-144, http://ir.semi.ac.cn/handle/172111/24005.[41] Liu Ming. An ultra-low-power 1Kb Sub-threshold SRAM in 180nm CMOS Process. Journal of Semiconductors. 2010, [42] Liu Ming Chen Hong Zhang Chun Li Changmeng Wang Zhihua. A light-powered sub-threshold microprocessor. JOURNAL OF SEMICONDUCTORS[J]. 2010, 72-77, http://lib.cqvip.com/Qikan/Article/Detail?id=35782330.[43] Liu Ming. Low-Power Circuits for the Biodirectional Wireless Monitoring System of the Orthopedic Implants. IEEE Transactions on Biomedical Circuits and Systems. 2009,
科研活动
科研项目
（1） 极低电压数字集成电路稳定性研究，主持，国家级，2014-01--2017-12
指导学生
已指导学生闫寒冰 硕士研究生 080903-微电子学与固体电子学 沈文弢 硕士研究生 085209-集成电路工程 李涛 硕士研究生 080903-微电子学与固体电子学 现指导学生张思韬 硕士研究生 080903-微电子学与固体电子学 任斌斌 硕士研究生 085400-电子信息 周易衡 硕士研究生 080903-微电子学与固体电子学
2013 中国科学院大学，网络信息中心.