Research

Novel data mining algorithms for high dimensional data set
Subspace clustering
Fiber clustering on Diffusion Tensor imaging
Brain network mining

Publications

Conference
[1].	Junming Shao, Qinli Yang, Christian Boehm, and Claudia Plant, Detection of Arbitrarily Oriented Synchronized Clusters in High-dimensional Data. Accepted by ICDM 2011.
[2].	Nikola S. Mueller, Katrin Haegler, Junming Shao, Claudia Plant, Christian Boehm, Weighted Graph Compression for Parameter-free Clustering With PaCCo. 2011 SIAM International Conference on Data Mining, pp. 932-943.
[3].	Christian Böhm, Xiao He, Jing Feng, Son T. Mai, Claudia Plant, Junming Shao, A Novel Similarity Measure for Fiber Clustering using Longest Common Subsequence. KDD 2011 Workshop on Medicine and Healthcare, 2011.
[4].	Junming Shao, Klaus Hahn, Qinli Yang, Christian Boehm, Afra Wohlschlaeger, Nicklos Myers, Claudia Plant, Combining Time Series Similarity with Density-based Clustering to Identify Fiber Bundles. ICDM 2010, Workshop on Biological Data Mining and its Applications in Healthcare. [Best Paper Award]
[5].	Junming Shao, Christian Boehm, Qinli Yang, Claudia Plant. Synchronization Based Outlier Detection. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010) , pp. 245-260.
[6].	Christian Boehm, Claudia Plant, Junming Shao, Qinli Yang. Clustering by Synchronization, Proc. of the 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), pp. 583-592, Washington, DC, USA.
[7].	Qinli Yang, Junming Shao, Miklas Scholz, Assessment of the Classification of Sustainable Flood Retention Basins with a Self-organizing Map Model. Masi F. (Ed.). In Proceedings of the 12th International Water Association International Conference on Wetland Systems for Water Pollution Control, Venice, Italy (4-9 October 2010), Vol. 2, pp. 1101-1108.
[8].	Qinli Yang, Junming Shao, Miklas Scholz, Geostatistical Assessment of Wetlands that Can Be Used as Sustainable Adaptive Structural Measures for Diffuse Pollution and Flood Risk Management Planning. Masi F. (Ed.). In Proceedings of the 12th International Water Association International Conference on Wetland Systems for Water Pollution Control, Venice, Italy (4-9 October 2010), Vol. 2, pp. 1581-1588.
[9].	Junming Shao, Afra Wohlschläger, Klaus Hahn, Christian Böhm, Claudia Plant, Density-based Clustering of White Matter Tracts in the Human Brain with Dynamical Time Warping. Poster presented at European Workshop on Mining Massive Data Sets (EMMDS), 2009.
[10].	Junming Shao, Dongjian He, Qinli Yang. Multi-Semantic Scene Classification Based on Region of Interest. In proceeding of International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA), December 2008.
Journal
[1].	Junming Shao, Xiao He, Christian Boehm, Qinli Yang, and Claudia Plant. Synchronization-inspired Partitioning and Hierarchical Clustering. (Submitted to IEEE Transactions on Knowledge and Data Engineering (TKDE) in 2011)
[2].	Qinli Yang, Junming Shao, Miklas Scholz, Christian Boehm, Claudia Plant, Tumulac P., Multi-label classification model for Sustainable Flood Retention Basins. (Submitted to Environmental Modelling & Software in 2011).
[3].	Miklas Scholz, Qinli Yang, and Junming Shao. Novel Screening Tool to Assess the Risk of Dam Failure for Sustainable Flood Retention Basins. (Submitted to Journal of Environment al Management in 2011).
[4].	Qinli Yang, Miklas Scholz, and Junming Shao. Application of Spatial Statistics as a Screening Tool for Sustainable Flood Retention Basin Management. Water and Environment Journal (Accepted).
[5].	Junming Shao, Klaus Hahn, Qinli Yang, Afra Wohlschlaeger, Christian Boehm, Nicholas Myers, Claudia Plant, Hierarchical Density-based Clustering of White Matter Tracts in the Human Brain. International Journal of Knowledge Discovery in Bioinformatics, 1(4), 1-26, 2010. [Best Article for IGI Global’s “Fourth Annual Excellence in Research Journal Awards]
[6].	Qinli Yang., Junming Shao, Miklas Scholz, Claudia Plant, Feature selection methods for characterizing and classifying adaptive Sustainable Flood Retention Basins. Water Research, 2010.
[7].	Dongjian He, Junming Shao, Nan Gen, Qinli Yang. A Model for Image Categorization Based on Biological Visual Mechanism. New Zealand Journal of Agricultural Research, 2007, Vol. 50(5): 781-787.
BookChapter
[1].	Wackersreuther B., Oswald A., Wackersreuther P., Shao J., Borgwardt K.M. Graph Mining on Brain Co-Activation Networks. In Database Technology for Life Sciences and Medicine, Böhm C., Plant C., (Ed.) World Scientific, 2010.

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