[Book] [Conference Paper] [Journal Article] Chronologically: [2016] [2015] [2014] [2013] [2012] [2011] [2010] [2009-2007]

List by Topics: [Data Mining] [Recommder System] [Neuroimaging] [Environmental Data Mining]


  • Yao Yang, Haoran Chen, Junming Shao. Triplet Enhanced AutoEncoder: Model-free Discriminative Graph Embedding, IJCAI, Accepted, 2019.
  • Junming Shao, Zhong Zhang, Zhongjing Yu, Jun Wang, Yi Zhao, Qinli Yang. Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion, IJCAI, Accepted, 2019.
  • Yanxi Li, Qing Zhu, Fen Chen, Junming Shao, Yunxin Luo, Yeting Zhang, Pengcheng Zhang, Weijun Yang. A Reliable Traffic Prediction Approach for Bike-sharing System by Exploiting Rich Information with Temporal Link Prediction Strategy, Transactions in GIS, Accepted, 2019.
  • Heng Zhang, Qinli Yang, Junming Shao, Guoqing Wang. Dynamic Streamflow Simulation via Online Gradient Boosted Regression Tree, Journal of Hydrologic Engineering, Accepted, 2019.
  • Chongming Gao, Yi Zhao, Ruizhi Wu, Qinli Yang, Junming Shao. Semantic trajectory compression via multi-resolution synchronization-based clustering, Knowledge-Based Systems,174, 177-193.
  • Qinli Yang, Shasha Luo, Hongcai Wu, Guoqing Wang, Dawei Han, Haishen Lü, Junming Shao. Attribution Analysis for Runoff Change on Multiple Scales in a Humid Subtropical Basin Dominated by Forest, East China, Forests, 10(2), 184.
  • Wei Han, Christian Sorg, Changgang Zheng, Qinli Yang, Xiaosong Zhang, Arvid Ternblom, Cobbinah B Mawuli, Lianli Gao, Cheng Luo, Dezhong Yao, Tao Li, Sugai Liang, Junming Shao. Low-rank Network Signatures in the Triple Network Separate Schizophrenia and Major Depressive Disorder, NeuroImage: Clinical, 2019.
  • Chongming Gao, Shuai Yuan, Zhong Zhang, Hongzhi Yin, Junming Shao. BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation, DASFAA,487-490, 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)
  • Zhong Zhang, Didi Kang, Chongming Gao, Junming Shao. SemiSync: Semi-supervised Clustering by Synchronization, DASFAA,358-362,2019.
  • Qinli Yang, Heng Zhang, Guoqing Wang, Shasha Luo, Dongzi Chen, Wanshan Peng, Junming Shao. Dynamic Runoff Simulation in a Changing Environment: A Data Stream Approach, Environmental Modelling & Software, 112, 157-165, 2019. [PDF]
  • Qinli Yang, Heng Zhang, Wanshan Peng, Yaoyao Lan, Shasha Luo, Junming Shao, Dongzi Chen, Guoqing Wang. Assessing Climate Impact on Forest Cover in Areas Undergoing Substantial Land Cover Change Using Landsat Imagery, Science of The Total Environment, 2019. [PDF]


  • Zejun Sun, Bin Wang, Jinfang Sheng, Zhongjing Yu, Junming Shao. Overlapping Community Detection Based on Information Dynamics
    , IEEE Access, Volume 6, 2018. Accepted. [PDF]
  • Junming Shao, Yue Tan, Lianli Gao, Qinli Yang, Claudia Plant, Ira Assent. Synchronization-based Clustering on Evolving Data Stream, Information Sciences, 2018. Accepted. [PDF]
  • Xiuli Song, Zhong Zhang, Rui Zhang, Miye Wang, Dongtao Lin, Tao Li, Junming Shao, Xiaohong Ma. Predictive markers of depression in hypertension, Medicine, Volume 97, Issue 32, 2018.
  • Junhua Chen, Wei Zeng, Junming Shao, Ge Fan. Preference modeling by exploiting latent components of ratings, Knowledge and Information Systems, pp. 1-27, 2018.
  • Sugai Liang, Yinfei Li, Zhong Zhang, Xiangzhen Kong, Qiang Wang, Wei Deng, Xiaojing Li, Liansheng Zhao, Mingli Li, Yajing Meng, Feng Huang, Xiaohong Ma, Xin-min Li, Andrew J Greenshaw, Junming Shao, Tao Li. Classification of First-Episode Schizophrenia Using Multimodal Brain Features: A Combined Structural and Diffusion Imaging Study, Schizophrenia Bulletin, 2018. Accepted
  • Zhong Zhang, Zhili Qin, Peiyan Li, Qinli Yang and Junming Shao. Multi-view Discriminative Learning via Joint Non-negative Matrix Factorization, International Conference on Database Systems for Advanced Applications (DASFAA), pp. 542-557, 2018. [PDF]
  • Junming Shao, Qinli Yang, Zhong Zhang, Jinhu Liu and Stefan Kramer. Graph Clustering with Local Density-Cut, International Conference on Database Systems for Advanced Applications (DASFAA), pp. 187-202, 2018. [PDF]
  • Zhongjing Yu, Qinli Yang, Zejun Sun, Junming Shao. ProfitLeader: Identifying Leaders in Networks with Profit Capacity, World Wide Web, pp 1–21, 2018. [PDF]
  • Ruizhi Wu, Guangchun Luo, Qinli Yang, Junming Shao. Learning Individual Moving Preference and Social Interaction for Location Prediction, IEEE ACCESS, 6:10675 – 10687, 2018. [PDF]
  • Junming Shao, Chun Meng, Masoud Tahmasian, Felix Brandl, Qinli Yang, Guangchun Luo, Cheng Luo, Dezhong Yao, Lianli Gao, Valentin Riedl, Wohlschläger, Christian Sorg. Common and distinct changes of default mode and salience network in schizophrenia and major depression, Brain Imaging and Behavior, pp.1–12, 2018. [PDF]
  • Ruizhi Wu, Guangchun Luo, Junming Shao, Ling Tian and Chengzong Peng. Location Prediction on Trajectory Data: A Review, Big Data Minging and Analytics, 2018. [PDF]


  • Hui He, Mi Yang, Mingjun Duan, Xi Chen, Yongxiu Lai, Junming Shao, Bharat B. Biswal, Cheng Luo and Dezhong Yao. Music intervention leads to increased insular connectivity and improved clinical symptoms in schizophrenia,Frontiers in Neuroscience, 2017, [PDF]
  • Qinli Yang, Miklas Scholz, Junming Shao*, Guoqing Wang, Xiaofang Liu. A generic framework to analyse the spatiotemporal variations of water quality data on a catchment scale, Environmental Modelling and Software, 2017, [PDF]
  • Junming Shao, Feng Huang, Qinli Yang, Guangchun Luo. Robust Prototype-based Learning on Concept-drift Data Streams, IEEE Transaction on Knowledge and Data Engineering (TKDE), 2017, Accepted.
  • Junming Shao, Chongming Gao, Wei Zeng, Jingkuan Song, and Qinli Yang. Synchronization-inspired Co-clustering and Its Application to Gene Expression Data,ICDM, 2017, [PDF]
  • Junming Shao, Zhongjing Yu, Peiyan Li, Wei Han, Christian Sorg, and Qinli Yang. Exploring Common and Distinct Structural Connectivity Patterns Between Schizophrenia and Major Depression via Cluster-driven Nonnegative Matrix Factorization,ICDM, 2017, [PDF]
  • Junming Shao, Xinzuo Wang, Qinli Yang, Claudia Plant and Christian Boehm. Synchronization-based Scalable Subspace Clustering of High-dimensional Data,Knowledge and Information Systems 52 (1), 83-111, 2017. [PDF]
  • Zejun Sun, Bin Wang, Jinfang Sheng, Yixiang Hu, Yihan Wang, Shao, Junming. Identifying Influential Nodes in Complex Networks Based on Weighted Formal Concept Analysis, IEEE Access 5, 3777-3789, 2017. [PDF][Bibtex]
  • Lianli Gao, Yuan Wang, Dongsheng Li, Shao, Junming, Jingkuan Song. Real-time social media retrieval with spatial, temporal and social constraints, Neurocomputing 253, 77-88, 2017. [PDF][Bibtex]


  • Wohlschläger, Afra M. and Glim, Sarah and Shao, Junming and Draheim, Johanna and Köhler, Lina and Lourenço, Susana and Riedl, Valentin and Sorg, Christian. Ongoing Slow Fluctuations in V1 Impact on Visual Perception, Frontiers in Human Neuroscience, 2016. [PDF][Bibtex]
  • Junming Shao , Chen Huang, Qinli Yang, Guangchun Luo. Reliable Semi-supervised Learning, The IEEE International Conference on Data Mining (ICDM), 2016. [PDF]
  • Wei Zeng, Meiling Fang, Junming Shao , Mingsheng Shang. Uncovering the essential links in online commercial networks, Scientific Reports, 2016. [PDF]
  • lianli gao, Dongsheng Li, Jingkuan Song, Junming Shao . Real-Time Social Media Retrieval with Spatial, Temporal and Social Constraints, Neurocomputing, 2016, to appear.
  • 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]
  • Henning Peters, Junming Shao, Martin Scherr, Dirk Schwerthöffer, Claus Zimmer, Hans Förstl, Josef Bäuml, Afra Wohlschläger, Valentin Riedl, Kathrin Koch*, Christian Sorg*. More Consistently Altered Connectivity Patterns for Cerebellum and Medial Temporal Lobes than for Amygdala and Striatum in Schizophrenia, Frontiers in human neuroscience, 10:55, 2016. [PDF] [Bibtex]
  • Jin-Hu Liu, Jun Wang, Junming Shao*, Tao Zhou*. Online Social Activity Reflects Economic Status, Physical A, 2016, to appear. [PDF] [Bibtex]
  • Xiao Hu, An Zeng, Mingsheng Shang. Recommendation in evolving online networks, The European Physical Journal B, 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]
  • Maoud Tahmasian*, Junming Shao, Chun Meng, Timo Grimmer, Janine Diehl-Schmid, Behrooz H Yousefi, Stefan Förster, Valentin Riedl, Alexander Drzezga, Christian Sorg. Based on the network degeneration hypothesis: separating individual patients with different neurodegenerative syndromes in a preliminary hybrid PET/MR study, Journal of Nuclear Medicine, jnumed. 115.165464. 2015. [PDF]
  • LianLi Gao, Jingkuan Song, Junming Shao, Xiaofeng Zhu, HengTao Shen. Zero-shot Image Categorization by Image Correlation Exploration, Proceedings of the 5th ACM on International Conference on Multimedia Retrieval (ICMR), pp. 487-490. 2015. [PDF]
  • Qinli Yang, Christian Boehm, Miklas Scholz, Claudia Plant, Junming Shao*. Predicting Multiple Functions of Sustainable Flood Retention Basins under Uncertainty via Multi-Instance Multi-Label Learning, Water, 7(4):1359-1377, 2015. [PDF]
  • Lianli Gao*, Jingkuan Song, Xingyi Liu, Junming Shao, Jiajun Liu, Jie Shao. Learning in high-dimensional multimedia data: the state of the art, Multimedia Systems, pp. 1-11, 2015. [PDF] [Bibtex]


  • 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]
  • 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]
  • Qinli Yang, Junming Shao, Miklas Scholz*. Self-organizing map to estimate sustainable flood retention basin types and variables, Environmental Engineering and Management Journal, 13(1):129-134, 2014. [PDF]
  • Wei Zeng, An Zeng, Hao Liu, Ming-sheng Shang and Tao Zhou. Uncovering the information core in recommender systems, Scientific Report, 4: 6140, 2014. [PDF] [Bibtex]
  • Wei Zeng, An Zeng, Hao Liu, Ming-Sheng Shang, Yi-Cheng Zhang. Similarity from multi-dimensional scaling: solving the accuracy and diversity dilemma in information filtering, PLoS ONE 9: e111005, 2014. [PDF] [Bibtex]
  • Qinli Yang, Christian Boehm, Miklas Scholz, Rui Li, Claudia Plant, A Sani, Junming Shao*. Uncertainty analysis in classification of wetlands used for flood and diffuse pollution control, 14th International Water Association (IWA) Conference on Wetland Systems for Water Pollution Control, pp. 145. 2014.


  • 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]
  • Masoud Tahmasian*, David C Knight, Andrei Manoliu, D Schwerthoffer, Martin Scherr, Chun Meng, Junming Shao, Henning Peters, Anselm Doll, Hatxtolah Khazaie, Alexander Drzezga, J Bauml, Claus Zimmer, Hans Forstl, AM Wohlschlager, Valentin Riedl, Christian Sorg. Aberrant intrinsic connectivity of hippocampus and amygdala overlap in the fronto-insular and dorsomedial-prefrontal cortex in major depressive disorder, Front Hum Neurosci, 7. 639. 10. 3389, 2013. [PDF] [Bibtex]
  • 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]
  • Wei Zeng, An Zeng, Ming-sheng Shang and Yi-cheng Zhang. Information filtering in sparse online systems: recommendation via semi-local diffusion., PLoS ONE 8: e79354, 2013. [PDF] [Bibtex]
  • Wei Zeng, An Zeng, Ming-sheng Shang and Yi-cheng Zhang. Membership in social networks and the application in information filtering., The European Physical Journal B, 86: 375, 2013. [PDF] [Bibtex]
  • Wei Zeng, Li Chen. Recommending Interest Groups to Social Media Users by Incorporating Heterogeneous Resources., In Proceedings of 26th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE’13), Amsterdam, Netherlands, June 17-21, 2013. [PDF] [Bibtex]
  • Wei Zeng, Li Chen. Heterogeneous Data Fusion via Matrix Factorization for Augmenting Item, Group and Friend Recommendations., The 28th ACM Symposium On Applied Computing, SAC 2013, Coimbra, Portugal, March 18 – 22, 2013. [PDF] [Bibtex]
  • Li Chen, Wei Zeng, Quan Yuan. A unified framework for recommending items, groups and friends in social media environment via mutual resource fusion., Expert Syst. Appl., 40: 2889-2903, 2013. [PDF] [Bibtex]


  • Junming Shao, Nicholas Myers, Qinli Yang, Jing Feng, Claudia Plant, Christian Böhm, Hans Förstl, Alexander Kurz, Claus Zimmer, Chun Meng, Valentin Riedl, Afra Wohlschläger, Christian Sorg*. Prediction of Alzheimer’s disease using individual structural connectivity networks., Neurobiology of aging, 33 (12), 2756-2765, 2012. [PDF] [Bibtex]
  • 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]
  • Ebenezer Danso-Amoako, Miklas Scholz, Nickolas Kalimeris, Qinli Yang, Junming Shao. Predicting dam failure risk for sustainable flood retention basins: A generic case study for the wider Greater Manchester area., Computers, Environment and Urban Systems, 36 (5), 423-433, 2012. [PDF] [Bibtex]
  • Qinli Yang,Junming Shao, Miklas Scholz*, Christian Boehm, Claudia Plant. Multi-label classification models for sustainable flood retention basins., Environmental Modelling & Software, 32, 27-36, 2012. [PDF] [Bibtex]
  • Qinli Yang, MiklasScholz, Junming Shao. Application of spatial statistics as a screening tool for sustainable flood retention basin management., Water and Environment Journal, 26 (2), 155-164, 2012. [PDF] [Bibtex]
  • Claudia Plant, Son Mai Thai, Junming Shao, Fabian J Theis, Anke Meyer-Baese, Christian Böhm. Measuring non-gaussianity by phi-transformed and fuzzy histograms., Advances in Artificial Neural Systems. 2012 (3), 2012. [PDF] [Bibtex]
  • 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. (Best paper award,最佳论文奖)


  • Junming Shao, Claudia Plant, Qinli Yang, Christian Böhm. Detection of arbitrarily oriented synchronized clusters in high-dimensional data. IEEE International Conference on Data Mining (ICDM), 607-616, 2011. [PDF] [Bibtex][Code]
  • Junming Shao. Synchronization Inspired Data Mining. Doctorial Thesis, LMU, 2011. [PDF] [Bibtex]
  • Christian Böhm, Jing Feng, Xiao He, Son T Mai, Claudia Plant, Junming Shao. A novel similarity measure for fiber clustering using longest common subsequence. Proceedings of the 2011 workshop on Data mining for medicine and healthcare, 1-9, 2011. [PDF] [Bibtex]
  • Nikola Mueller, KatrinHaegler, Junming Shao, Claudia Plant, Christian Böhm. Weighted Graph Compression for Parameter-free Clustering WithPaCCo. SDM, 932-943, 2011.[PDF] [Bibtex]


  • Junming Shao*, Klaus Hahn, Qinli Yang, Christian Böhm, AfraWohlschläger, Nicholas Myers, Claudia Plant. Combining time series similarity with density-based clustering to identify fiber bundles in the human brain. IEEE International Conference on Data Mining Workshops (ICDMW), 747-754, 2010. (Best paper award,最佳论文奖) [PDF] [Bibtex]
  • Junming Shao, Christian Böhm, Qinli Yang, Claudia Plant. Synchronization based outlier detection. Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 245-260, 2010. [PDF] [Bibtex][Code]
  • Christian Böhm, Claudia Plant, Junming Shao*, Qinli Yang. Clustering by synchronization. Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD), 583-592, 2010. [PDF] [Bibtex][Code]
  • Junming Shao*, Klaus Hahn, Qinli Yang, AfraWohlschläeger, Christian Boehm, Nicholas Myers and 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 paper award) [PDF] [Bibtex]
  • Bianca Wackersreuther, Annahita Oswald, Peter Wackersreuther, Junming Shao, Karsten M Borgwardt. Graph Mining on Brain Co-activation Networks. Database Technology For Life Sciences And Medicine (Book Chapter), 279-293, 2010.
  • 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. Proceedings of the 12th International Water Association International Conference on Wetland Systems for Water Pollution Control, 1581-1588, 2010.
  • Qinli Yang, Junming Shao, William McMinn, Miklas Scholz*. Sustainable Flood Retention Basins (SFRB) as adaptive measures. The Strategic Alliace for Integrated Water Management Actions (SAWA) conference, 32-33, 2010.
  • Qinli Yang , Junming Shao, Miklas Scholz*. Assessment of the classification of sustainable flood retention basins with a self-organizing map model. Proceedings of the 12th International Water Association International Conference on Wetland Systems for Water Pollution Control, 1101-1108, 2010.
  • Wei Zeng , Ming-Sheng Shang, Qian-Ming Zhang, LinYuan Lü, Tao Zhou. Can dissimilar users contribute to accuracy and diversity of personalized recommendation? International Journal of Modern Physics C, 21: 1217-1227, 2010. [PDF] [Bibtex]

Before 2010

  • JunmingShao*, Dongjian He, Qinli Yang. Multi-semantic scene classification based on region of interest. Computational Intelligence for Modelling Control & Automation, 2008 International Conference on, 732-737, 2008. [PDF] [Bibtex]
  • He Dongjian, ShaoJunming*, Gen Nan, Yang Qinli. A model for image categorisation based on a biological visual mechanism. New Zealand Journal of Agricultural Research. 50 (5), 781-787, 2007. [PDF] [Bibtex]