Basic Information



Na Lu   Ph. D, Associate Professor

Contact Information


Office: Room 409 Yifu Science Building

Systems Engineering Institute

Xi'an Jiaotong University

Xi'an, Shaanxi, China 710049

Education and Training

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,  
Jiaotong University, Xi'an, Shaanxi, China
B. E.  (1998.9-2002.6)      Mechanical Engineering and Automation, School of Mechanical Engineering, Xi’an Jiaotong 

                                          University, Xi'an, Shaanxi, China


Big Data and Deep Learning, Spring, 2016 (in English)

Big Data and Deep Learning, Spring, 2015 (in English)

Robot Control, Instructor, Fall, 2015

Robot Control, Instructor, Fall, 2014

Robot Control, Instructor, Fall, 2013

Lecture Notes (In Chinese)

Lecture 1                    pdf

Lecture 2                    pdf

Lecture 3                    pdf

Lecture 4                    pdf



Lecture 5                    pdf

Lecture 6                    pdf

Lecture  6 new            pdf

 Homework                    pdf


Scientific Research

Research Interests


Statistical image analysis

Machine learning


Brain-computer interface


[31]     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)

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

[29]   Sun Lei, Feng Zuren, Chen Badong, Lu Na*. A contralateral channel guided model for EEG based motor imagery classification. Biomedical Signal Processing and Control, In press (SCI, IF: 2.214)

[28]     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.

[27]     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)

[26]     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)

[25]     Luo Jing, Feng Zuren, Zhang Jun, Lu Na*. Dynamic frequency feature selection based approach for cassification of motor imageries. Computers in Biology and Medicine, 75: 45-53, 2016, (SCIWOS:000380623100006 , IF: 1.459)

[24]Lu Na, Miao Hongyu. Clustering tree-structured data on Manifold. IEEE Transaction on Pattern Analysis and Machine Intelligence. 38(10): 1956-1968, 2016 (SCI, IF: 6.077).

[23] Lu Na, Jharon N. Silva et al.. Capillary extraction by detecting polarity in circular profiles. IET Image Processing.  10(5): 339-348, 2016 (SCI, IF: 0.753 ).

[22] 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, IF: 2.870)

[21] Lu Na, Jharon N. Silva, Y. Gu, H. Wu, H. A. Gelbard, S. Dewhurst, H. Miao. Technical report on capillary thresholding.

[20] Lu Na, Hongyu Miao. Structure constrained nonnegative matrix factorization for pattern clustering and classification.  Neurocomputing, 171(1): 400-411, 2016.

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

 [18] Lu Na*, Yin tao. Motor imagery classification via combinatory decomposition of ERP and ERSP using sparse nonnegative matrix factorization. Journal of Neuroscience Mehtods, 249: 41-49, 2015.

 [17]     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, 60: 32-39, 2015.

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

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

 [14] Dewei Yang, Zuren Feng, Xiaodong Ren, Lu Na. A novel power line inspection robot with dual-parallelogram architecture and its vibration suppression control. Advanced Robotics, 28(12): 807-819, 2014. 

 [13] Lu Na*, Miao Hongyu. Featured circular profile for vessel thresholding. 6th International Congress on Image and Signal Processing (CISP), IEEE, 2013: 437-442. 

 [12] Lu Na, Silva J., Gu Y. Miao H. Directional histogram ratio at random probes: a local thresholding criterion for capillary images. Pattern Recognition, 46(7), 1933-1948, 2013. 

 [11] Lu Na, Feng Zuren. Centroid iteration algorithm for image tracking. Pattern Analysis and Applications, 15(2): 163-174, 2012.

 [10] 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, 2012.

[9] Lu Na, Feng Zuren. Adaptive multi-resolutional image tracking algorithm. Journal of Computer Research and Development, 49(8): 1708-1714, 2012. 

[8] Lu Na, Feng Zuren. A randomized corner detection algorithm. Pattern Recognition and Artificial Intelligence,24(2): 291-298, 2011. 

[7] Lu Na, Feng Zuren. Mathematical Model of Blob Matching and Modified Bhattacharyya Coefficient. Image and Vision Computing, 26(10): 1421-1434, 2008.  

[6] Feng Zuren, Lu Na, Jiang Ping. Posterior Probability Measure for Image Matching. Pattern Recognition. 41(7): 2422-2433, 2008.  

[5] Lu Na, Feng Zuren. Accumulative Intersection Space Based Corner Detection Algorithm. International Journal of Pattern Recognition and Artificial Intelligence. 22(8): 1559-1586, 2008. 

[4] Lu Na, Feng Zuren. Nonlinear interacting particle filter. Control and Decision, 22(4), 2007. 

[3] Lu Na, Feng Zuren. Centroid iteration image tracking algorithm. Journal of Xi’anJiaotongUniversity, 41(12): 1396-1400, 2007.  

[2] 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. 

[1]  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. 



 Posterior Probability Measure based Fast Image Tracking Algorithm (pending code: 200810018348.8)

Grants as PI

1. National Natural Foundation of China under grant No. 61105034, 2012-2014. 


2. Research Fund for the Doctoral Program of Higher Education of China under grant No. 20100201120040, 2011-2013.


3. China Postdoctoral Science Foundation under grant No. 20110491662, 2011-2012.


4. China Postdoctoral Science Foudation Funded Project under grant No. 2012T50805, 2012-2014.

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