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Professor Yun Yang


Dr. Yun Yang

Professor Master Supervisor/Doctoral Supervisor University

E-mail: yangyan19@hotmail.com 

 

Education 

2011 PhD in Computer Science, University of Manchester, UK 

2006 MSc in Informatics, University of Manchester, UK 

2005 MSc in Advanced Computer Science, University of Bristol, U 

2004 Bachelor of Information Technology and Electronic Communication, Lancaster University, UK 

 

Incumbent 

Deputy Secretary-General, China Information Economics Society Internet Economy and Cross-border E-commerce Professional Committee 

Director, Kunming Key Laboratory of Data Science and Intelligent Computing 

Professor, Faculty of Software Engineering, Yunnan University 

 

 

Research directions 

Artificial intelligence 

Machine learning 

Data mining 

Pattern recognition 

Multimedia data analysis/indexing/retrieval 

Time series data analysis 

Research and application of deep learning algorithms 

Big data processing 

 

Research and publications 

Books 

Yang Y. (2016): Temporal Data Mining via Unsupervised Ensemble Learning, Elsevier, ISBN: 9780128116548. 

Yang Y. and Du F. (2018): Deep Learning in Action, Tsinghua University Press, ISBN: 9787302491026. 

 

Book Chapters 

Yang Y. and Chen K. (2007): Combining competitive learning networks of various representations for sequential data clustering, Trends in Neural Computation (Chapter 13, pp. 315-336), Springer, ISBN:3540361219 
 

Refereed Journal Articles 

    1. Yang Y. and Jiang J. (Early Access): Adaptive Bi-weighting towards Automatic Initialization and Model Selection for HMM-based Hybrid Meta-clustering Ensembles, IEEE Transactions on Cybernetics (SCI, IF: 8.803, CAS JCR Q1, ESI 1% tops journals) 

    1. Yang Y. and Jiang J. (2016): Hybrid sampling-based clustering ensemble with global and local constitutions, IEEE Transactions on Neural Networks and Learning Systems, 27(5):952-965. (SCI, IF: 7.982, CAS JCR Q1, ESI 1% top journal) 

    1. Yang Y. and Chen K. (2011): Temporal data clustering via weighted clustering ensemble with different representations, IEEE Transactions on Knowledge and Data Engineering, 23(2): 317-320. (SCI, IF:2.775, CAS JCR Q2, Chinese Computer Society Recommended Journal Category A) 

    1. Xie C., Cai H., Yang Y.*, Jiang L., Yang P. (To Appear): User Profiling in Elderly Healthcare Services in China: Scalper Detection, IEEE Journal of Biomedical and Health Informatics (SCI, IF: 3.850, CAS JCR Q2) 

    1. Li J., Yang Y.*, Wang X., Zhao Z., Li T. (2018): A Novel Parallel Distance Metric-based Approach for Diversified Ranking on Large Graphs, Future Generation Computer Systems, 88: 79-91. (SCI, IF: 4.639, CAS JCR Q2) 

    1. Yang Y., Liu X., Ye Q., Tao D. (To Appear): Ensemble Learning based Person Re-Identification with Multiple Feature Representations, Complexity (SCI, IF: 1.829, CAS JCR Q2) 

    1. Xie C.; Yang P.; Yang Y.* (2018): Open Knowledge Accessing Method in IoT-based Hospital Information System for Medical Record Enrichment, IEEE Access, 6(1): 15202-15211 (SCI, IF: 3.557, CAS JCR Q2) 

    1. Lee S.; Xu Z.; Li T.; Yang Y.* (2018): A Novel Bagging C4.5 Algorithm Based on Wrapper Feature Selection for Supporting Wise Clinical Decision Making, Journal of Biomedical Informatics, 78: 144-155 (SCI, IF: 2.882, CAS JCR Q2) 

    1. Yang Y. and Jiang J. (2018): Bi-weighted ensemble via HMM-based approaches for temporal data clustering, Pattern Recognition, 76: 391-403. (SCI, IF: 3.962, CAS JCR Q2) 

    1. Yang Y., Li Z., Wang W. and Tao D. (2017): An adaptive semi-supervised clustering approach via multiple density-based information, Neurocomputing, 257: 193-205. (SCI, IF: 3.241, CAS JCR Q2) 

    1. Yang Y. and Liu X. (2015): A Robust Semi-supervised Learning Approach via Mixture of Label Information, Pattern Recognition Letters, 68: 15-21. (SCI, IF: 1.952, JCR Q3) 

    1. Yang Y. and Jiang J. (2014): HMM-based hybrid meta-clustering ensemble for temporal data, Knowledge-based systems, 56: 299-310. (SCI, IF: 4.396, CAS JCR Q2) 

    1. Yang Y. and Chen K. (2011): Time Series Clustering via RPCL Ensemble Networks with Different Representations, IEEE Transactions on Systems, Man, and Cybernetics-Part C, 41(2): 190 – 199. (SCI, IF:2.171, CAS JCR Q2) 

    1. Dai Fei, Zhao Wenzhuo, Yang Yun*, Mo Qi, Li Tong, Zhou Hua (2017): Formal semantics and analysis of BPMN 2.0 orchestration, Journal of Software, DOI: 10.13328/j.cnki.jos.005280 (EI) 

 

Academic awards 

2016 Reserve Talent for Young and Middle-aged Academic and Technical Leaders in Yunnan Province 

2016 Yunnan Province “Overseas High-level Talent Introduction Program” Introduced Talent 

 

Professional Affiliations 

2015-present Senior Member of the China Computer Federation (CCF), Member of the IEEE, Member of the ACM, Member of the ACIS, Member of the CAAI 

 

 

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