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]

Research Interests

Clustering, Network Mining, Data Stream Mining, Few-shot Learning

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 (洪堡学者)
  • Ph.D. degree with the highest honor -“Summa Cum Laude”, 2011 (“最高荣誉”博士)
  • 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 paper award，最佳论文奖)
  • 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,（Best paper award，最佳论文奖)
  • Best Paper Awards in Big Data Minging and Analytics 2018. (Ruizhi Wu, Guangchun Luo, Junming Shao, Ling Tian and Chengzong Peng. Location Prediction on Trajectory Data: A Review, Big Data Minging and Analytics,（Best paper award，最佳论文奖)
  • 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
  • Best Paper Awards in DASFAA 2019. (Zhong Zhang, Chongming Gao, Qinli Yang, Junming Shao. Towards Robust Arbitrarily Oriented Subspace Clustering, DASFAA, 276-291,2019,（Best paper award，最佳论文奖)

Selected Publications

  • Junming Shao, Zhong Zhang, Zhongjing Yu, Jun Wang, Yi Zhao, Qinli Yang. Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion, Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 3382-3388, 2019.[PDF]
  • Yao Yang, Haoran Chen, Junming Shao. Triplet Enhanced AutoEncoder: Model-free Discriminative Graph Embedding, Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 5363-5369, 2019.[PDF]
  • Zhong Zhang, Chongming Gao, Qinli Yang, Junming Shao. Towards Robust Arbitrarily Oriented Subspace Clustering, DASFAA, 276-291,2019,（Best paper award，最佳论文奖）
  • Junming Shao, Yue Tan, Lianli Gao, Qinli Yang, Claudia Plant, Ira Assent. Synchronization-based Clustering on Evolving Data Stream, Information Sciences, 2018. [PDF]
  • Junming Shao*, Qinli Yang, Hoang-Vu Dang, Bertil Schmidt, Stefan Kramer. Scalable Clustering by Iterative Partitioning and Point Attractor Representation, ACM Transactions on Knowledge Discovery from Data (TKDD), 2016. [PDF]
  • 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]
  • 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]
  • 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]

Academic Activities



Session Chairs

  • IJCAI 2019
  • Dasfass 2018

Program Committee

  • SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-20)
  • IEEE International Conference on Data Mining (ICDM-2020)
  • AAAI Conference on Artificial Intelligence (AAAI-2020, 2019)
  • Annual ACM Symposium on Theory of Computing (STOC-2020)
  • International Joint Conference on Artificial Intelligence (IJCAI-2020, 2019, 2018, 2017)
  • The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020, 2019, 2018, 2017, 2016, 2015, 2014)
  • International Workshop on Machine learning, Optimization & big Data (MOD 2019, 2018, 2017)
  • International Conference on machine Learning, Optimization & Data science (LOD 2019, 2018)
  • International Symposium on Foundations and Applications of Big Data Analytics (FAB 2018, 2016)
  • The Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data (APWeb-WAIM-2020, 2019)
  • The China Computer Federation (CCF) Conference on Big Data (CCF Big Data 2019, 2018, 2017)

Journal Reviewer

  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • Data Mining and Knowledge Discovery (DAMI)
  • IEEE Transactions on Cybernetics (TCYB)
  • Information Sciences
  • Knowledge-based Systems (KBS)
  • Chaos: An Interdisciplinary Journal of Nonlinear Science
  • Physical A
  • Applied Soft Computing
  • IEEE Access
  • Neurocomputing