Junming Shao, Professor

His research interests include data mining and machine learning, especially for clustering in high-dimensional data, graph mining and brain structural network analysis. He has received his Ph.D. degree with the highest honor (“Summa Cum Laude”) at the University of Munich, Germany. He became the Alexander von Humboldt Fellow in 2012. Currently, he is a professor of Computer Science at the University of Electronic Science and Technology of China. He not only published papers on top-level data mining conferences like KDD, ICDM, SDM, IEEE/TKDE, but also published data mining-related interdisciplinary work in leading journals including Brain, Neurobiology of Aging, and Water Research. See following the Publications and Citations: [Junming Shao’s Google Scholar homepage]

邵俊明, 教授

研究兴趣包括数据挖掘和机器学习，尤其是针对高维数据的聚类，图挖掘和脑结构网络分析。 他在德国慕尼黑大学获得最高荣誉的博士学位（“ Summa Cum Laude”）。 于2012年成为Alexander von Humboldt Fellow。目前是中国电子科技大学的计算机科学专业教授。 不仅在KDD，ICDM，SDM，IEEE / TKDE等顶级数据挖掘会议上发表论文，而且还在包括脑，衰老神经生物学和水文研究在内的主要期刊中发表了与数据挖掘相关的跨学科工作。 请参阅以下出版物和引文: [Junming Shao’s Google Scholar homepage]

Research Interests

Subspace Clustering, Community Detection, Data Stream Clustering and Classification, Brain Network Mining, Machine Learning

研究兴趣

子空间聚类，社区发现，数据流聚类和分类，脑网络挖掘，机器学习

Education Background

• 2013/12 – Present, Unversity of Electronic Science and Technology of China (China), Prof.
• 2011/08 – 2012/12, University of Mainz (Germany), Alexander von Humboldt Fellow.
• 2011/11 – 2012/07, Technical University of Munich (Germany), PostDoc.
• 2008/09 – 2011/11, University of Munich (Germany), Ph.D.

Selected Awards

• Alexander von Humboldt Fellow, 2012
• Ph.D. degree with the highest honor -“Summa Cum Laude”, 2011
• Best Paper Award in ICDM 2010, Workshop on Biological Data Mining and its Applications in Healthcare.(Junming Shao, et al., Combining Time Series Similarity with Density-based Clustering to Identify Fiber Bundles.), 2010
• Best Article for IGI Global’s “Fourth Annual Excellence in Research Journal Awards” 2010. (Junming Shao, et. al, Hierarchical Density-based Clustering of White Matter Tracts in the Human Brain.), 2010

Selected Publications

• [1] Junming Shao*, Zhichao Han, Qinli Yang, Tao Zhou. Community Detection based on Distance Dynamics, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 1075-1084. 2015. [PDF] [Bibtex][Code]
• [2] Junming Shao, Zahra Ahmadi, Stefan Kramer*. Prototype-based learning on concept-drifting data streams, Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD), pp. 412-421. 2014. [PDF] [Bibtex][Code]
• [3] Chun Meng, Felix Brandl, Masoud Tahmasian, Junming Shao, Andrei Manoliu, Martin Scherr, Dirk Schwerthöffer, Josef Bäuml, Hans Förstl, Claus Zimmer, Afra M Wohlschläger, Valentin Riedl, Christian Sorg*. Aberrant topology of striatum’s connectivity is associated with the number of episodes in depression, Brain, 137:598–609, 2014. [PDF] [Bibtex]
• [4] Junming Shao, Xiao He, Qinli Yang, Claudia Plant, Christian Böhm*. Robust synchronization-based graph clustering, Advances in Knowledge Discovery and Data Mining, 249-260, 2013. [PDF] [Bibtex][Code]
• [5] Junming Shao*, Xiao He, Christian Bohm, Qinli Yang, Claudia Plant. Synchronization-inspired partitioning and hierarchical clustering, IEEE Transactions on Knowledge and Data Engineering (TKDE), 25 (4), 893-905, 2013. [PDF] [Bibtex][Code]
• [6] Junming Shao*, Qinli Yang, Afra Wohlschlaeger, Christian Sorg. Discovering Aberrant Patterns of Human Connectome in Alzheimer’s Disease via Subgraph Mining, IEEE International Conference on Data Mining Workshops (ICDMW), 86-93, 2012. [PDF] [Bibtex]
• [7] Junming Shao, Qinli Yang, AfraWohlschläger, Christian Sorg. Insight into Disrupted Spatial Patterns of Human Connectome in Alzheimer’s Disease via Subgraph Mining., International Journal of Knowledge Discovery in Bioinformatics (IJKDB), 3 (1), 23-38, 2012. [PDF] [Bibtex]