Personal

• E-mail: sjwang05 [at] gmail.com

Honors and fellowshipsh

• 2005.10 First Class Award for Comprehensive Excellence (Bei Hai Guo Fa Fellowship) of Tsinghua University.
• 2006.4 Academic New Rising Star Award of Department Automation, Tsinghua University.
• 2006.6 Nomination Award of Academic New Rising Star of Tsinghua University.
• 2007.3 - 2009.8 Postdoctoral Visiting Fellowship of National Institutes of Health.
• 2007.7 Excellent Doctoral Thesis of Tsinghua University.
• 2007.7 Excellent Doctoral Graduate of Tsinghua University.
• 2008.8 Fellows Award for Research Excellence (FARE) 2009 competition, National Institutes of Health.
• 2009.8 Fellows Award for Research Excellence (FARE) 2010 competition, National Institutes of Health.

Research interests

• Complex systems and networks
• Machine learning and pattern recognition
• Medical image analysis

Publications

A. Book Chapters

1. Shijun Wang and Changshui Zhang, Learning on Complex Networks. In Zhi-Hua Zhou and Jue Wang (Eds.) Machine Learning and Its Applications 2007, Tsinghua University Press, Beijing, China.

B. Peer-reviewed Journal Papers

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, Zhongbao Kou, and Changshui Zhang. Network Boosting on Different Networks. Physica A: Statistical Mechanics and its Applications, Vol. 366, pp. 561-570, 2006.
4. Shijun Wang, and Changshui Zhang. Price Formation Based on Particle-Cluster Aggregation. International Journal of Modern Physics C, Vol. 16, No. 11, pp. 1811-1816, 2005.
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.
8. Changshui Zhang and Shijun Wang, Boosting Learning on Classifier Network. Communications of the China Computer Federation, Vol. 8, 2009.
9. Shijun Wang, and Changshui Zhang. Collaborative Learning by Boosting in Distributed Environments. The International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), vol. 24(5), pp. 763-789, 2010.
10. Shijun Wang, Jianhua Yao, Jiamin Liu, Nicholas Petrick, Robert L. Van Uitert, Senthil Periaswamy, and Ronald M. Summers. Registration of prone and supine CT Colonography scans using correlation optimized warping and canonical correlation analysis. Medical Physics, Vol. 36(12), pp. 5595-5603, 2009.
11. Shijun Wang, Jianhua Yao, Nicholas Petrick, and Ronald M. Summers. Combining Statistical and Geometric Features for Colonic Polyp Detection in CTC Based on Multiple Kernel Learning. International Journal of Computational Intelligence and Applications (IJCIA), Vol. 9(1), pp. 1-15, 2010.

Education

• Beihang University, Bachelor of Electronic Engineering.
• The Second Aerospace Science Academy , Master of Communication.
• Tsinghua University , Doctorate of Philosophy in Control Science and Engineering.