吕娜副教授

2018-11-20 11:28:43 88

基本介绍

职称: 副教授
职位: 陕西省机器人先进控制工程实验室主任
地址:西安交通大学科学馆409室
电子邮件: lvna2009@xjtu.edu.cn

教育经历:

1998年9月—2002年7月  西安交通大学机械学院机械工程及自动化系  本科、工学学士
2002年9月—2008年12月 西安交通大学电信学院系统工程研究所    工学博士
2011年4月—2013年4月    美国University of Rochester             博士后

工作经历:

2009年至今 西安交通大学自动化系讲师、副教授

学术荣誉与获奖:

2011年陕西省优秀博士学位论文

学术兼职:

陕西省机器人先进控制工程实验室主任
担任国家自然科学基金通讯评议专家
担任国内外知名期刊IEEE Transactions on Cybernetics, IEEE Transactions on Neural Systems & Rehabilitation Engineering, Computer Methods and Programs in Biomedicine,IET System Biology, Pattern Recognition Letters, Biomedical Signal Processing and Control,Measurement,上海交通大学学报,西安交通大学学报等审稿人。

研究方向:

人工智能、机器学习、深度学习、机器视觉、脑机接口、智能机器人

论文著选:

论文:  

[1] Zhiyan Cui, Na Lu, Xue Jing, Xiahao Shi. Fast Dynamic Convolutional Neural Networks for Visual Tracking. Asian Conference on Machine Learning, PMLR 95:770-785, 2018 (Acceptance rate: 24.8%)
[2] Wang Jie, Feng Zuren, Lu Na, Luo Jing. Toward optimal feature and time segment selection by divergence method for EEG signals classification. Computers in Biology and Medicine, 97: 161-170, 2018 (SCI, IF: 2.115)
[3] Chen Badong, Li Yuanhao, Dong Jiyao, Lu Na, Qin Jing. Common spatial patterns based on the quantized minimum error entropy criterion. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018,In press (SCI, IF: 5.131)
[4] Jia Feng, Lei Yaguo, Lu Na, Xing Saibo. Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization. Mechanical Systems and Signal Processing, 110: 349-367, 2018 (SCI, IF: 4.525)
[5] Luo Jing, Feng Zuren, Lu Na*. Spatio-temporal discrepancy feature for classification of motor imageries. Biomedical Signal Processing and Control,  2018, Accepted (SCI, IF: 3.063)
[6] Wang Jie, Feng Zuren, Lu Na, Sun Lei, Luo Jing. An information fusion scheme based common spatial pattern method for classification of motor imagery tasks. Biomedical Signal Processing and Control, 46:10-17,2018 (SCI, IF: 3.063)
[7] Lu Na*, Wu Yidan, Feng Li, Song Jinbo. Deep Learning for Fall Detection: 3D-CNN Combined with LSTM on Video Kinematic Data. IEEE Journal of Biomedical and Health Informatics, 2018, Accepted (SCI, IF: 3.451)
[8] Chen Badong, Wang Xin, Lu Na, Wang Shiyuan, Cao Jiuwen, Qin Jing. Mixture correntropy for robust learning. Pattern Recognition, 79(7): 318-327,2018 (SCI, IF: 4.991)
[9] Sun Lei, Feng Zuren, Chen Badong, Lu Na*. A contralateral channel guided model for EEG based motor imagery classification. Biomedical Signal Processing and Control, 41: 1-9, 2018 (SCI, IF: 3.063)
[10] Wang Jie, Feng Zuren, Lu Na. Feature extraction by common spatial pattern in frequency domain for motor imagery tasks classification. Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017, Chongqing, China, 5883-5888.
[11] Lu Na*, Ren Xiaodong, Song Jinbo, Wu Yidan. Visual guided deep learning scheme for fall detection. IEEE Conference on Automation Science and Engineering, 2017
[12] Lu Na*, Li Tengfei, Ren Xiaodong, Miao Hongyu. A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines. IEEE Transaction on Neural Systems & Rehabilitation Engineering, 25(6): 566-576, 2017 (SCI, IF: 3.410)
[13] Wang Yulin, Lu Na, Miao Hongyu. Structural identifiability of cyclic graphical models of biological networks with latent variables. BMC Systems Biology, 10(1), 2016 (SCI, IF: 2.213)
[14] Luo Jing, Feng Zuren, Zhang Jun, Lu Na*. Dynamic frequency feature selection based approach for classification of motor imageries. Computers in Biology and Medicine, 75: 45-53, 2016, (SCI WOS:000380623100006 , IF: 2.115)
[15] Lu Na, Miao Hongyu. Clustering tree-structured data on Manifold. IEEE Transaction on Pattern Analysis and Machine Intelligence, 38(10): 1956-1968, 2016 (SCI WOS:000384240600003, IF: 9.455)
[16] Lu Na, Silva Jharon N., Gu Yu, Wu Hulin, Gelbard Harris A., Dewhurst Stephen, Miao Hongyu. Capillary extraction by detecting polarity in circular profiles. IET Image Processing, 10(5): 339-348, 2016 (SCI WOS:00037395380000, IF: 1.044 )
[17] Jia Feng, Lei Yaguo, Lin Jing, Zhou Xin, Lu Na. Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data. Mechanical Systems and Signal Processing, 72-73: 303-315, 2016 (SCI WOS:000369196200017, IF: 4.525)
[18] Lu Na, Miao Hongyu. Structure constrained nonnegative matrix factorization for pattern clustering and classification. Neurocomputing, 171: 400-411, 2016 (SCI WOS: 000364883900041, IF: 3.317).
[19] Lu Na, Wu Yidan. Clustering of tree-structured data. IEEE International Conference on Information and Automation, 2015: 1210-1215. (EI: 20161102093088)
[20] Lu Na*, Yin Tao. Motor imagery classification via combinatory decomposition of ERP and ERSP using sparse nonnegative matrix factorization. Journal of Neuroscience Methods, 2015, 249: 41-49 (SCI WOS: 000356555300006, IF: 2.426).
[21] Lu Na*, Li Tengfei, Pan Jinjin, Ren Xiaodong, Feng Zuren, Miao Hongyu. Structure constrained semi-nonnegative matrix factorization for EEG-based motor imagery classification. Computers in Biology and Medicine, 2015, 60: 32-39. (SCI WOS:000353737400003, IF: 1.953)
[22] Lu Na*, Luo Jing. Gradient guided feature selection in stereo matching. International Conference on Electronics, Communications and Networks (CECNet), 2014, (EI: 20161102097579)
[23] Luo Jing, Feng Zuren, Lu Na*. Window adaptive cost aggregation method for stereo correspondence. International Conference on Electronics, Communications and Networks (CECNet), 2014, (EI)
[24] Yang Dewei, Feng  Zuren, Ren Xiaodong, Lu Na. A novel power line inspection robot with dual-parallelogram architecture and its vibration suppression control,Advanced Robotics, 28(12): 807-819, 2014. (SCI WOS:000337541400001, IF: 0.636)
[25] Lu Na*, Miao Hongyu. Featured circular profile for vessel thresholding. 6th International Congress on Image and Signal Processing (CISP), IEEE, 2013: 437-442.  (EI: 20141117463614)
[26] Lu Na, Silva Jharon, Gu Yu, Gerber, Scott, Wu Hulin, Gelbard Harris, Dewhurst Stephen, Miao Hongyu*. Directional histogram ratio at random probes: a local thresholding criterion for capillary images. Pattern Recognition, 46(7), 1933-1948, 2013 (SCI WOS:000317886600019, EI: 20131316148912, IF: 4.991)
[27] Lu Na*, Feng Zuren. Centroid iteration algorithm for image tracking. Pattern Analysis and Applications, 15(2), 163-174, 2012 (SCI WOS:000303384000006, EI: 20080211012987, IF: 1.352 )
[28] Xu Jintao, Feng Zuren, Lu Na. Optical Flow Estimation with Parameterized Data Term and Warping. Proceedings of the 10th World Congress on Intelligent Control and Automation (WCICA), 4633-4637, Beijing, 2012 (EI: 20130415919833)
[29] 吕娜*, 冯祖仁. 自适应多分辨图像跟踪算法. 计算机研究与发展, 49(8): 1708-1714页, 2012 (EI: 20124115554751) 
[30] 吕娜*, 冯祖仁. 一种随机角点检测算法. 模式识别与人工智能, 24(2): 291-298页, 2011 (EI: 20112314043782 )
[31] Na Lu*, Zuren Feng. Mathematical model of blob matching and modified bhattacharyya coefficient. Image and Vision Computing, 2008, 26(10): 1421–1434. (SCI WOS:000259330700010,  EI: 20083411469438, IF: 2.384)
[32] Na Lu*, Zuren Feng. Accumulative intersection space based corner detection algorithm. International Journal of Pattern Recognition and Artificial Intelligence, 2008, 22(8): 1559–1586. (SCI WOS:000262598700005,EI: 20090511879909, IF:0.558)
[33] Zuren Feng, Na Lu, Ping Jiang. Posterior probability measure for image matching. Pattern Recognition, 2008, 41(7): 2422–2433. (SCI WOS:000255818900026,EI: 20081511194522, IF: 3.613)
[34] 吕娜,冯祖仁.非线性交互粒子滤波算法.控制与决策, 2007, 22(4): 378–383. (EI: 20072210627963)
[35] 吕娜,冯祖仁.质心迭代图像跟踪算法.西安交通大学学报, 2007, 41(12): 1396–1400. (EI: 20080211012987)
[36] 冯祖仁,吕娜,李良福.基于最大后验概率的图像匹配相似性指标研究.自动化学报, 2007, 33(1): 1–8. (EI: 20071310513852)
[37] Na Lu, Zuren Feng. Numerical potential field and ant colony optimization based path planning in dynamic environment. Proceedings of the 6th World Congress on Intelligent Control and Automation, June 21–23, 2006, Dalian, China. (EI: 20071510544254)

项目:

纵向:

1. 国家自然科学基金(61876147):基于运动想象脑电信号的多主体多任务异步实时脑控系统研究,2019-2022,主持人
2. 智能机器人与系统高精尖创新中心开放基金(2016IRS19):基于先验深度学习的脑控机器人研究,2017-2018,主持人
3. 国家自然科学基金(61673312):统计结构学习方法及其在个体差异脑信号分析中的应用研究,2017,主持人
4. 中央高校基本科研业务费专项资金资助, 西安交通大学校内科研基金(国际合作类): 结构学习方法及其在高维复杂数据分析中的应用研究,2015-2017,主持人
5. 国家自然科学基金(51475355):内外激励耦合下的复杂齿轮传动系统动态特性与诊断方法研究,2015-2018,骨干成员
6. 国家自然科学基金 (61105034):交互协作特征选择方法及其在立体视觉中的应用研究,2012-2014,主持人
7. 教育部博士点基金(20100201120040):基于多特征联盟的无线传感网目标检测定位研究,2011-2013,主持人
8. 第四十九批博士后科学基金(20110491662):鲁棒目标跟踪方法关键技术研究,2011-2014,主持人
9. 中国博士后科学基金第五批特别资助(2012T50805):基于圆形统计学的图像特征分析研究,2012-2015,主持人
10. 中央高校基本科研业务费专项资金资助, 西安交通大学校内科研基金(自然科学类): 基于无线传感网的多节点协同目标检测定位, 2010-2011,主持人
11. 机械制造系统工程国家重点实验室开放课题, 结构学习方法研究, 2015-2016, 主持人

专利:

[1] 吕娜, 史夏豪. 一种基于深度学习的火灾图像识别方法. 申请号:201811271332.8
[2] 冯祖仁, 吕娜. 一种基于背景抑制的后验概率图像跟踪方法. 专利号: ZL 2008 1 0018348.8
[2] 吕娜, 罗靖, 尹涛, 李腾飞. 一种基于自适应特征窗口的立体视觉匹配方法. 申请号: 201410840802.3
[3] 吕娜, 潘锦锦, 尹涛, 李腾飞. 一种基于圆形轮廓图极性的血管图像处理方法. 申请号: 201410842429.5
[4] 吕娜, 李腾飞, 尹涛, 潘锦锦. 一种基于随机方向直方图比的双阈值的血管图像处理方法. 申请号: 201410841978.0 
 

English

Name: Na Lu
Job Tittle: Associate Professor
Position: Director of Shaanxi Province Engineering Laboratory of Advanced Robot Control
Addr: Room 409 Yifu Science Building 
Email: lvna2009@xjtu.edu.cn

EDUCATION:

Postdoc (2011.4-2013.4)  Department of Biostatistics and Computational Biology, University of Rochester, Rochester NY, US
Ph. D. (2002.9-2008.12) Systems Engineering Institute, School of Electronic and Information Engineering,  Xi’an Jiaotong University, Xi'an, Shaanxi, China
B. E.  (1998.9-2002.6) Mechanical Engineering and Automation

EXPERIENCES:

ACADEMIC AWARDs and Honors:
2009-Present  Associate Professor, Department of Automation, Xi’an Jiaotong University
Expertise and Research Interests: machine learning, deep learning, computer vision, brain computer interface, intelligent robotics 

Selected Publications

Papers:  

[1] Networks for Visual Tracking. Asian Conference on Machine Learning, PMLR 95:770-785, 2018 (Acceptance rate: 24.8%)
[2] Wang Jie, Feng Zuren, Lu Na, Luo Jing. Toward optimal feature and time segment selection by divergence method for EEG signals classification. Computers in Biology and Medicine, 97: 161-170, 2018 (SCI, IF: 2.115)
[3] Chen Badong, Li Yuanhao, Dong Jiyao, Lu Na, Qin Jing. Common spatial patterns based on the quantized minimum error entropy criterion. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018,In press (SCI, IF: 5.131)
[4] Jia Feng, Lei Yaguo, Lu Na, Xing Saibo. Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization. Mechanical Systems and Signal Processing, 110: 349-367, 2018 (SCI, IF: 4.525)
[5] Luo Jing, Feng Zuren, Lu Na*. Spatio-temporal discrepancy feature for classification of motor imageries. Biomedical Signal Processing and Control,  2018, Accepted (SCI, IF: 3.063)
[6] Wang Jie, Feng Zuren, Lu Na, Sun Lei, Luo Jing. An information fusion scheme based common spatial pattern method for classification of motor imagery tasks. Biomedical Signal Processing and Control, 46:10-17,2018 (SCI, IF: 3.063)
[7] Lu Na*, Wu Yidan, Feng Li, Song Jinbo. Deep Learning for Fall Detection: 3D-CNN Combined with LSTM on Video Kinematic Data. IEEE Journal of Biomedical and Health Informatics, 2018, Accepted (SCI, IF: 3.451)
[8] Chen Badong, Wang Xin, Lu Na, Wang Shiyuan, Cao Jiuwen, Qin Jing. Mixture correntropy for robust learning. Pattern Recognition, 79(7): 318-327,2018 (SCI, IF: 4.991)
[9] Sun Lei, Feng Zuren, Chen Badong, Lu Na*. A contralateral channel guided model for EEG based motor imagery classification. Biomedical Signal Processing and Control, 41: 1-9, 2018 (SCI, IF: 3.063)
[10] Wang Jie, Feng Zuren, Lu Na. Feature extraction by common spatial pattern in frequency domain for motor imagery tasks classification. Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017, Chongqing, China, 5883-5888.
[11] Lu Na*, Ren Xiaodong, Song Jinbo, Wu Yidan. Visual guided deep learning scheme for fall detection. IEEE Conference on Automation Science and Engineering, 2017
[12] Lu Na*, Li Tengfei, Ren Xiaodong, Miao Hongyu. A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines. IEEE Transaction on Neural Systems & Rehabilitation Engineering, 25(6): 566-576, 2017 (SCI, IF: 3.410)
[13] Wang Yulin, Lu Na, Miao Hongyu. Structural identifiability of cyclic graphical models of biological networks with latent variables. BMC Systems Biology, 10(1), 2016 (SCI, IF: 2.213)
[14] Luo Jing, Feng Zuren, Zhang Jun, Lu Na*. Dynamic frequency feature selection based approach for classification of motor imageries. Computers in Biology and Medicine, 75: 45-53, 2016, (SCI WOS:000380623100006 , IF: 2.115)
[15] Lu Na, Miao Hongyu. Clustering tree-structured data on Manifold. IEEE Transaction on Pattern Analysis and Machine Intelligence, 38(10): 1956-1968, 2016 (SCI WOS:000384240600003, IF: 9.455)
[16] Lu Na, Silva Jharon N., Gu Yu, Wu Hulin, Gelbard Harris A., Dewhurst Stephen, Miao Hongyu. Capillary extraction by detecting polarity in circular profiles. IET Image Processing, 10(5): 339-348, 2016 (SCI WOS:00037395380000, IF: 1.044 )
[17] Jia Feng, Lei Yaguo, Lin Jing, Zhou Xin, Lu Na. Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data. Mechanical Systems and Signal Processing, 72-73: 303-315, 2016 (SCI WOS:000369196200017, IF: 4.525)
[18] Lu Na, Miao Hongyu. Structure constrained nonnegative matrix factorization for pattern clustering and classification. Neurocomputing, 171: 400-411, 2016 (SCI WOS: 000364883900041, IF: 3.317).
[19] Lu Na, Wu Yidan. Clustering of tree-structured data. IEEE International Conference on Information and Automation, 2015: 1210-1215. (EI: 20161102093088)
[20] Lu Na*, Yin Tao. Motor imagery classification via combinatory decomposition of ERP and ERSP using sparse nonnegative matrix factorization. Journal of Neuroscience Methods, 2015, 249: 41-49 (SCI WOS: 000356555300006, IF: 2.426).
[21] Lu Na*, Li Tengfei, Pan Jinjin, Ren Xiaodong, Feng Zuren, Miao Hongyu. Structure constrained semi-nonnegative matrix factorization for EEG-based motor imagery classification. Computers in Biology and Medicine, 2015, 60: 32-39. (SCI WOS:000353737400003, IF: 1.953)
[22] Lu Na*, Luo Jing. Gradient guided feature selection in stereo matching. International Conference on Electronics, Communications and Networks (CECNet), 2014, (EI: 20161102097579)
[23] Luo Jing, Feng Zuren, Lu Na*. Window adaptive cost aggregation method for stereo correspondence. International Conference on Electronics, Communications and Networks (CECNet), 2014, (EI)
[24] Yang Dewei, Feng  Zuren, Ren Xiaodong, Lu Na. A novel power line inspection robot with dual-parallelogram architecture and its vibration suppression control,Advanced Robotics, 28(12): 807-819, 2014. (SCI WOS:000337541400001, IF: 0.636)
[25] Lu Na*, Miao Hongyu. Featured circular profile for vessel thresholding. 6th International Congress on Image and Signal Processing (CISP), IEEE, 2013: 437-442.  (EI: 20141117463614)
[26] Lu Na, Silva Jharon, Gu Yu, Gerber, Scott, Wu Hulin, Gelbard Harris, Dewhurst Stephen, Miao Hongyu*. Directional histogram ratio at random probes: a local thresholding criterion for capillary images. Pattern Recognition, 46(7), 1933-1948, 2013 (SCI WOS:000317886600019, EI: 20131316148912, IF: 4.991)
[27] Lu Na*, Feng Zuren. Centroid iteration algorithm for image tracking. Pattern Analysis and Applications, 15(2), 163-174, 2012 (SCI WOS:000303384000006, EI: 20080211012987, IF: 1.352 )
[28] Xu Jintao, Feng Zuren, Lu Na. Optical Flow Estimation with Parameterized Data Term and Warping. Proceedings of the 10th World Congress on Intelligent Control and Automation (WCICA), 4633-4637, Beijing, 2012 (EI: 20130415919833)
[29] Lu Na, Feng Zuren. Adaptive multi-resolutional image tracking algorithm. Journal of Computer Research and Development, 49(8): 1708-1714, 2012. 
[30] Lu Na, Feng Zuren. A randomized corner detection algorithm. Pattern Recognition and Artificial Intelligence,24(2): 291-298, 2011. 
[31] Lu Na, Feng Zuren. Mathematical Model of Blob Matching and Modified Bhattacharyya Coefficient. Image and Vision Computing, 26(10): 1421-1434, 2008.  
[32] Feng Zuren, Lu Na, Jiang Ping. Posterior Probability Measure for Image Matching. Pattern Recognition. 41(7): 2422-2433, 2008.  
[33] Lu Na, Feng Zuren. Accumulative Intersection Space Based Corner Detection Algorithm. International Journal of Pattern Recognition and Artificial Intelligence. 22(8): 1559-1586, 2008. 
[34] Lu Na, Feng Zuren. Nonlinear interacting particle filter. Control and Decision, 22(4), 2007. 
[35] Lu Na, Feng Zuren. Centroid iteration image tracking algorithm. Journal of Xi’anJiaotongUniversity, 41(12): 1396-1400, 2007.  
[36] Feng Zuren, Lu Na, Li Liangfu. Research on image matching similarity criterion based on maximum posterior probability. Acta Automatica Sinica, 33(1): 1-8, 2007. 
[37] Lv Na, Feng Zuren. Numerical Potential Field and Ant Colony Optimization Based Path Planning in Dynamic Environment. Proceedings of the 6th WCICA, Dalian: IEEE, 8966-8970, 2006.  

Project:

Funded by the Government:

1. National Natural Science Foundation of China under grant No. 61876147, PI
2. National Natural Science Foundation of China under grant No. 61673312, PI
3. Beijing Advanced Innovation Center for Intelligent Robots and Systems grant 2016IRS19, PI
4. National Natural Science Foundation of China under grant No. 61105034, PI
5. Research Fund for the Doctoral Program of Higher Education of China under grant No. 20100201120040, PI
6. China Postdoctoral Science Foundation under grant No. 20110491662, PI
7. China Postdoctoral Science Foundation under grant No. 2012T50805, PI