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Name: Jun Miao  Education: Phd 
Positions:   Academic title: Associate Professor 
E-mail:         jmiao@ict.ac.cn 
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Introduction
Resume:
Jun Miao received his Ph.D. degree in computer science from the Institute of Computing Technology, Chinese Academy of Sciences (CAS) in 2005. He is currently an associated professor at the Institute of Computing Technology, CAS, Beijing, China. His research interests include neural networks and neural information processing,image understanding,biologically inspired computer vision and pattern recognition. He has published near 40 research articles in refereed journals and proceedings on face detection, visual neural networks, visual neural information coding, neural oscillation, image segmentation, visual perception and cognition. His two main contributions are the technique of Human Face Gravity-Center Template for face detection and the model of Visual Perceiving and Eyeball-Motion Controlling Neural Network for visual search respectively. Dr. Miao is a member of IEEE, a member of the China Computer Federation and a member of the Chinese Society for Neuroscience. He is the recipient of Microsoft Fellowship Award in 2000, a recipient of 2003 Shanghai Science and Technology Progress Awards (the First Award) and a recipient of 2005 National Science and Technology Progress Awards of China (the Second Award).

Direction:
Vision neural networks and neural information processing,image understanding,biologically inspired computer vision and pattern recognition
Community service:
IEEE Member, CCF Member, member of the Chinese Society for Neuroscience

Achievements:
The recipient of Microsoft Fellowship Award in 2000, a recipient of 2003 Shanghai Science and Technology Progress Awards (the First Award) and a recipient of 2005 National Science and Technology Progress Awards of China (the Second Award).
Article:

  国际刊物论文 / Journal Papers:

  [1] Lijuan Duan, Hongyan Zhong, Jun Miao, Zhen Yang, Wei Ma, Xuan Zhang, Voting Optimized Strategy Based on ELM for Improving Classification of Motor Imagery BCI Data, Cognitive Computation, 2014.

  [2] Wentao Zhu, Jun Miao, Laiyun Qing, Robust Regression With Extreme Support Vectors, Pattern Recognition Letters, 45, pp. 205-210, 2014.

  [3] Wentao Zhu, Jun Miao, Jiangbi Hu, and Laiyun Qing, Vehicle Detection in Driving Simulation using Extreme Learning Machine, Neurocomputing, 128, pp.160-165, 2014.

  [4] Jinfang Zhang, Yuanhua Qiao, Jun Miao, Lijuan Duan, and Yanjun Zeng, New Global Synchronization Analysis for Complex Networks with Coupling Delay, Journal of Applied Mathematics, 2014.

  [5] Yuanhua Qiao, Yong Meng, Lijuan Duan, Faming Fang and Jun Miao, Qualitative analysis and application of locally coupled neural oscillator network, Neural Computing and Applications, No. 21, pp. 1551-1562, 2012.

  [6 ] Lijuan Duan, Chunpeng Wu, Jun Miao and A. Bovik, Visual Conspicuity Index: Spatial Dissimilarity, Distance, and Central Bias, IEEE Signal Processing Letters,18(11), 690-693, 2011.

  [7] Jun Miao, Laiyun Qing, Baixian Zou, Lijuan Duan and Wen Gao, Top-down Gaze Movement Control in Target Search using Population Cell Coding of Visual Context, IEEE Transactions on Autonomous Mental Development, Vol. 2, No. 3, pp. 196-215, September 2010.

  [8] Jun Miao, Lijuan Duan, Laiyun Qing, Wen Gao, Xilin Chen and Yuan Yuan, Spatial Relationship Representation for Visual Object Searching, Neurocomputing, Vol. 71(10-12), pp. 1813-1823, June 2008.

  [9] Yunfeng Lu, Jun Miao, Lijuan Duan, Yuanhua Qiao and Ruixin Jia, A New Approach to Image Segmentation Based on Simplified Region Growing PCNN, Applied Mathematics and Computation, Vol. 205, pp. 807-814, November 2008.

  国际会议论文 / Conference Papers:

  [1] Wentao Zhu, Jun Miao, and Laiyun Qing, Constrained Extreme Learning Machine: a Novel Highly Discriminative Random Feedforward Neural Network, Proc. of IEEE International Joint Conference on Neural Networks'2014 (IJCNN'14), Beijing, Jul. 6-11, 2014.

  [2] Wentao Zhu, Jun Miao, and Laiyun Qing, Extreme Support Vector Regression, International Conference on Extreme Learning Machines(ELM'13), Beijing, Oct. 15-17, 2013.

  [3] Shanxin Yuan, Jun Miao, and Laiyun Qing, Robust Multi-Patch Tracking, Proc. of IEEE International Conference on Image Processing (ICIP'13), Melbourne, Australia, Sep. 15-20, 2013.

  [4] Jiamei Shuai, Laiyun Qing, Jun Miao, Zhiguo Ma, and Xilin Chen, Salient Region Detection via Texture-Suppressed Background Contrast, Proc. of IEEE International Conference on Image Processing (ICIP'13), Melbourne, Australia, Sep. 15-20, 2013.

  [5] Lingxun Meng, Laiyun Qing, Peng Yang, Jun Miao, Xilin Chen, Dimitris N. Metaxas, Activity Recognition Based on Semantic Spatial Relation, International Conference on Pattern Recognition (ICPR'12), Tsukuba, Japan, Nov. 11-15, 2012.

  [6] Lijuan Duan, Xuebin Wang, Zhen Yang, Haiyan Zhou, Chunpeng Wu, Qi Zhang, and Jun Miao, An Emotional Face Evoked EEG Signal Recognition Method Based on Optimal EEG Feature and Electrodes Selection, Proc. of International Conference on Neural Information Processing'2011( ICONIP'11), Shanghai, Nov. 14-17, 2011.

  [7] Jun Miao, Lijuan Duan, Laiyun Qing and Yuanhua Qiao, An Improved Neural Architecture for Gaze Movement Control in Target Searching, Proc. of IEEE International Joint Conference on Neural Networks'2011 (IJCNN'11), San Jose, USA, Jul. 31-Aug. 5, 2011.

  [8] Lijuan Duan, Chunpeng Wu, Jun Miao, Laiyun Qing and Yu Fu, Visual Saliency Detection by Spatially Weighted Dissimilarity, Proc. of IEEE Conference on Computer Vision and Pattern Recognition'2011(CVPR'11), Colorado Springs, USA, Jun. 21-23, 2011.

  [9] Chongxiu Wang, Laiyun Qing, Jun Miao, Fang Fang and Xilin Chen, Attention Driven Face Recognition: A Combination of Spatial Variant Fixations and Glance, Proc. of IEEE International conference on Automatic Face and Gesture Recognition'2011 (FG'11), Santa Barbara, USA, Mar. 21-25, 2011.

  [10] Chen Chi, Laiyun Qing, Jun Miao, and Xilin Chen, Evaluation of the Impetuses of Scan Path in Real Scene Searching, ACCV 2010 Workshops-International Workshop on Gaze Sensing and Interactions(IWGSI'10), LNCS 6468, pp. 450-459, 2011, Queenstown, New Zealand, Nov. 8, 2010.

  [11] Jun Miao, Baixian Zou, Laiyun Qing, Lijuan Duan and Yu Fu, Learning Internal Representation of Visual Context in a Neural Coding Network, Proc. of International Conference on Artificial Neural Networks'2010 (ICANN'10), Thessaloniki, Greece, Sep. 15-18, 2010.

  [12] Fang Fang, Jun Miao, Laiyun Qing, and Wen Gao, A Visual Search System based on Multi-scale Population Cell Coding, Proc. of IEEE International Conference on Cognitive Informatics (ICCI'10), Beijing, China, July 7-9, 2010.

  [13] Yong Meng, Yuanhua Qiao, Jun Miao, Lijuan Duan, Faming Fang, Qualitative Analysis in Locally Coupled Neural Oscillator Network, Proc. of International conference on Cognitive Neurodynamics 2009 (ICCN'09), Hangzhou, China, Nov. 15-19, 2009.

  [14] Jun Miao, Laiyun Qing, Lijuan Duan, and Baixian Zou, Single vs. Population Cell Coding: Gaze Movement Control in Target Search, Proc. of IEEE International Joint Conference on Neural Networks'2009 (IJCNN'09), Atlanta, USA, Jun. 14-19, 2009.

  [15] Fang Fang, Zhiguo Ma, Laiyun Qing, Jun Miao, Xilin Chen and Wen Gao, Face Reconstruction Using Fixation Positions and Foveated Imaging, Proc. of IEEE International conference on Automatic Face and Gesture Recognition'2008 (FG'08), Amsterdam, Netherlands, Sep. 17-19, 2008.

  [16] Jun Miao, Lijuan Duan, Laiyun Qing, Xilin Chen and Wen Gao, Visual Context Representation Using a Combination of Feature-driven and Object-driven Mechanisms, Proc. of IEEE International Joint Conference on Neural Networks'2008 (IJCNN'08), Hong Kong, Jun. 1-6, 2008.

  [17] Yuanhua Qiao, Jun Miao, Lijuan Duan and Yunfeng Lu, Image Segmentation Using Dynamic Mechanism Based PCNN Model, Proc. of IEEE International Joint Conference on Neural Networks'2008 (IJCNN'08), Hong Kong, Jun. 1-6, 2008.


Commitment to research the situation:
 
[1] Attention Selection and Eye-movement control based Active Vision Modelling, NSFC 2010, No. 60970087
[2] Visual Perception and Eye-movement Control Neural Networks based on Temporal Oscillation Correlation and Spatially Intergration Coding, NSFC 2007, No. 60673091
[3] Neural Information Processing based on Biological Perception and Cognition, China High-Tech Program 2007, No. 2006AA01Z122  
[4] Automatic Target Detection based on Visual Neural Mechanisms, NSFB 2007, No. 4072023
[5] Visuall Perception and Cognition Modelling based on Temporal Dimension, Special Fund from the President of CAS 2006
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