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吕娜  
研究领域(方向)
机器学习、深度学习、统计图像分析、模式识别、脑机接口、大数据分析、智能机器人。
个人及工作简历

2015年—今       西安交通大学  电信学院  自动化系  副教授

2011年—2013年   美国University of Rochester 博士后                    

2009年—2014年  西安交通大学 电信学院 自动化系 讲师

2002年—2008年  西安交通大学电信学院系统工程研究所  工学博士

1998年—2002年  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

科研项目

1.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

2.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

3.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

4.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

5.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

6.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

7.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

8.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

9.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

10.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

学术及科研成果、专利、论文

[1]        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, Accepted (SCI, IF: 3.451)

[2]        Chen Badong, Wang Xin, Lu Na, Wang Shiyuan, Cao Jiuwen, Qin Jing. Mixture correntropy for robust learning. Pattern Recognition, Accepted (SCI, IF: 4.991)

[3]        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: 2.214)

[4]        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.

[5]        Lu Na*, Ren Xiaodong, Song Jinbo, Wu Yidan. Visual guided deep learning scheme for fall detection. IEEE Conference on Automation Science and Engineering, 2017

[6]        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)

[7]        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)

[8]        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: 1.953)

[9]        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: 8.329)

[10]     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 )

[11]     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: 2.870)

[12]     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).

[13]     Lu Na, Wu Yidan. Clustering of tree-structured data. IEEE International Conference on Information and Automation, 2015: 1210-1215. (EI: 20161102093088)

[14]     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).

[15]     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)

[16]     Lu Na*, Luo Jing. Gradient guided feature selection in stereo matching. International Conference on Electronics, Communications and Networks (CECNet), 2014, (EI: 20161102097579)

[17]     Luo Jing, Feng Zuren, Lu Na*. Window adaptive cost aggregation method for stereo correspondence. International Conference on Electronics, Communications and Networks (CECNet), 2014, (EI)

[18]     Yang Dewei, Feng  Zuren, Ren Xiaodong, Lu Na. A novel power line inspection robot with dual-parallelogram architecture and its vibration suppression controlAdvanced Robotics, 28(12): 807-819, 2014. (SCI WOS:000337541400001, IF: 0.636)

[19]     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)

[20]     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)

[21]     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 )

[22]     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)

[23]     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) 

[24]     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 )

[25]     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

[26]     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:000262598700005EI: 20090511879909, IF:0.558

[27]     Zuren Feng, Na Lu, Ping Jiang. Posterior probability measure for image matching. Pattern Recognition, 2008, 41(7): 2422–2433. SCI WOS:000255818900026EI: 20081511194522, IF: 3.613

[28]     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

[29]     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

[30]     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

[31]     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

联系方式
电子邮箱:lvna2009@xjtu.edu.cn
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更新日期:2018-08-31