Junming Shao
According to our database1,
Junming Shao
authored at least 37 papers
between 2008 and 2019.
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Bibliography
2019
ProfitLeader: identifying leaders in networks with profit capacity.
World Wide Web, 2019
Semantic trajectory compression via multi-resolution synchronization-based clustering.
Knowl.-Based Syst., 2019
Dynamic runoff simulation in a changing environment: A data stream approach.
Environmental Modelling and Software, 2019
SemiSync: Semi-supervised Clustering by Synchronization.
Proceedings of the Database Systems for Advanced Applications, 2019
Towards Robust Arbitrarily Oriented Subspace Clustering.
Proceedings of the Database Systems for Advanced Applications, 2019
BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation.
Proceedings of the Database Systems for Advanced Applications, 2019
2018
Robust Prototype-Based Learning on Data Streams.
IEEE Trans. Knowl. Data Eng., 2018
Learning Individual Moving Preference and Social Interaction for Location Prediction.
IEEE Access, 2018
Overlapping Community Detection Based on Information Dynamics.
IEEE Access, 2018
Multi-view Discriminative Learning via Joint Non-negative Matrix Factorization.
Proceedings of the Database Systems for Advanced Applications, 2018
Graph Clustering with Local Density-Cut.
Proceedings of the Database Systems for Advanced Applications, 2018
2017
Learning in high-dimensional multimedia data: the state of the art.
Multimedia Syst., 2017
Synchronization-based scalable subspace clustering of high-dimensional data.
Knowl. Inf. Syst., 2017
Real-time social media retrieval with spatial, temporal and social constraints.
Neurocomputing, 2017
Identifying Influential Nodes in Complex Networks Based on Weighted Formal Concept Analysis.
IEEE Access, 2017
Exploring Common and Distinct Structural Connectivity Patterns Between Schizophrenia and Major Depression via Cluster-Driven Nonnegative Matrix Factorization.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
2016
Scalable Clustering by Iterative Partitioning and Point Attractor Representation.
TKDD, 2016
Reliable Semi-supervised Learning.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
Zero-shot Image Categorization by Image Correlation Exploration.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015
Community Detection based on Distance Dynamics.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
2014
Prototype-based learning on concept-drifting data streams.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
2013
Synchronization-Inspired Partitioning and Hierarchical Clustering.
IEEE Trans. Knowl. Data Eng., 2013
Robust Synchronization-Based Graph Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
2012
Predicting dam failure risk for sustainable flood retention basins: A generic case study for the wider Greater Manchester area.
Computers, Environment and Urban Systems, 2012
Insight into Disrupted Spatial Patterns of Human Connectome in Alzheimer's Disease via Subgraph Mining.
IJKDB, 2012
Multi-label classification models for sustainable flood retention basins.
Environmental Modelling and Software, 2012
Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms.
Adv. Artificial Neural Systems, 2012
Discovering Aberrant Patterns of Human Connectome in Alzheimer's Disease via Subgraph Mining.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
2011
Synchronization inspired data mining.
PhD thesis, 2011
Weighted Graph Compression for Parameter-free Clustering With PaCCo.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional Data.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
2010
Hierarchical Density-Based Clustering of White Matter Tracts in the Human Brain.
IJKDB, 2010
Synchronization Based Outlier Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Clustering by synchronization.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain.
Proceedings of the ICDMW 2010, 2010
2008
Multi-semantic Scene Classification Based on Region of Interest.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008