Personal

• Address: Diagnostic Radiology Department, Clinical Center, National Institutes of Health Bldg 10, Room B2S-231, 10 Center Dr, MSC 1182, Bethesda, MD 20892-1182
• Tel: 301-451-8363
• E-mail: sjwang05 [at] gmail.com

Present position

• Visiting fellow (Postdoc) of National Institutes of Health

Honors and fellowshipsh

• 2005.10 Integrative Excellent First-class Award (Beihai Guo Fa Fellowship) of Tsinghua University.
• 2006.4 Academic New Star Award of Department Automation, Tsinghua University.
• 2006.6 Nomination Award of Academic New Rising Star of Tsinghua University.
• 2006.9 Excellence Report Award of Second-class in the Ph.D. Candidate Forum, Tsinghua University.

Research interests

My research interests focus on two areas. The first concerns the complex systems (e.g. biological system, the financial stock markets, social networks, etc.), with emphasis on the modeling of complex systems, their evolution mechanism lying behind and the dynamic processes taking place in the complex systems. The second research area concerns the combination of complex networks and artificial intelligence. I’m especially interested in the application of statistical physics to the machine learning problems

Proficiencies

I am familiar with C++, Java, Matlab, UML (Unified Modeling Language), SQL (Structured Query Language). Java is my favor and many development packages such as Weka, Jung, JIU and JMat have been broadly applied in my past programs. I have also written many C++ programs range from database manipulation to embedded soft run on Windows CE 2.11. So if the speed is critical factor in my projects, C++ will be chosen instead of java. The development kits I often used are Eclipse and JBuilder for java, MS Visual Studio for C++, Rational Rose for UML. The database management software I am familiar with includes MySQL and MS SQL Server.

Publications

1. Shijun Wang, and Changshui Zhang, Weighted Competition Scale-Free Network, Physical Review E 70, 066127, 2004.
2. Shijun Wang, and Changshui Zhang, Microscopic Model of Financial Markets Based on Belief Propagation, Physica A: Statistical Mechanics and its Applications, Vol. 354C, pp. 496-504, 2005.
3. Shijun Wang, and Changshui Zhang, Price Formation Based on Particle-Cluster Aggregation, , Vol. 16, No. 11, pp. 1811-1816, 2005.
4. Shijun Wang, Zhongbao Kou, and Changshui Zhang, Network Boosting on Different Networks, Physica A: Statistical Mechanics and its Applications, Vol. 366, pp. 561-570, 2006.
5. Shijun Wang, Jianhua Yao and Ronald M. Summers. Improved Classifier for Computer-aided Polyp Detection in CT Colonography by Nonlinear Dimensionality Reduction. Medical Physics, Vol. 35(4), pp. 1377-1386, 2008.
6. Shijun Wang, Mate S. Szalay, Changshui Zhang, and Peter Csermely. Learning and Innovative Elements of Strategy Adoption Rules Expand Cooperative Network Topologies. PLoS ONE 3(4): e1917. doi:10.1371/journal.pone.0001917, 2008.
   
7. Qiao Yan, Shijun Wang, Wei-xin Xie, and Zhong-dong Wu, Character Recognition Based on Genetic-Neural Network, Journal of Lanzhou Railway University (Natural Sciences), Vol. 20, No. 4, pp. 78-81, 2001 (in Chinese).
8. Yungang Zhang, Changshui Zhang, and Shijun Wang, Clustering in Knowledge Embedded Space, The 14th European Conference on Machine Learning (ECML-2003), Cavtat, Croatia, Sept. 2003. Lecture Notes in Artificial Intelligence (LNAI), Springer-Verlag, Vol. 2837 / 2003, pp. 480-491, 2003.
9. Shijun Wang, and Changshui Zhang, A Fast Algorithm in Finding Communities of Book Network, The 10th Symposium on Artificial Life and Robotics (AROB'05), Oita, Japan, 2005.
10. Shijun Wang, Zhonglin Lin, and Changshui Zhang, Network Boosting for BCI applications, The 8th International Conference on Discovery Science (DS'05), Singapore, 8-11 of October, 2005. Lecture Notes in Artificial Intelligence (LNAI), Springer-Verlag, Vol. 3735 / 2005, pp. 386-388, 2005.
11. Shijun Wang, and Changshui Zhang, Network Game and Boosting, The 16th European Conference on Machine Learning (ECML-2005), Porto, Portugal, October 3-7, 2005. Lecture Notes in Artificial Intelligence (LNAI), Springer-Verlag, Vol. 3720 / 2005, pp. 461-472, 2005.
12. Fei Wang, Shijun Wang, Changshui Zhang and Ole Winther, Semi-supervised Mean Fields, accepted by the Eleventh International Conference on Artificial Intelligence and Statistics, 2007.
13. Shijun Wang, Jianhua Yao, and Ronald M. Summers. DMLLE: A large-scale dimensionality reduction method for detection of polyps in CT Colonography. Published in Medical Imaging, International Society for Optical Engineering (SPIE), 2008.
14. Shijun Wang, and Ronald M. Summers. Automated matching of supine and prone colonic polyps based on PCA and SVMs. Published in Medical Imaging, International Society for Optical Engineering (SPIE), 2008.
15. Shijun Wang, and Changshui Zhang, The Distributed Network Boosting algorithm. Published in the International Conference on Pattern Recognition (ICPR), 2008.
16. Shijun Wang, Jianhua Yao, and Ronald M. Summers. Matching Colonic Polyps from Prone and Supine CT Colonography Scans Based on Statistical Curvature Information. Published in the International Conference on Pattern Recognition (ICPR), 2008.
17. Shijun Wang, Jianhua Yao, Nicholas Petrick, and Ronald M. Summers. Combining heterogeneous features for colonic polyp detection in CTC based on semi-definite programming. Published in Medical Imaging, International Society for Optical Engineering (SPIE), 2009.
    

Education

• NIH, 2007-Today, postdoctoral fellow
• Tsinghua University, 2002-2007, Ph.D. in Control Science and Engineering, 2007.
• The Second Academy of China Aerospace Science and Industry Corporation 1999-2002: Master of Communication and Signal Processing, July 2002.
• Beihang University (Beijing University of Aeronautics & Astronautics) 1995-1999: Bachelor of Electronic Engineering, July 1999.