楊雲 教授


楊雲 博士

教授 碩導/博導

✉ 學校郵箱:yangyan19@hotmail.com

 

學歷

2011 计算机科学博士,曼彻斯特大学, 英国

2006 信息学碩士, 曼彻斯特大学, 英国

2005 高等计算机科学碩士, 布里斯托大学, 英国

2004 信息技术与电子通信学士, 兰卡斯特大学, 英国

 

現任

中国信息经济学会互联网经济与跨境电商专业委员会副秘书长

昆明市数据科学与智能计算重点实验室主任

云南大学软件学院教授

 

研究方向

人工智能

机器学习

数据挖掘

模式识别

多媒体数据分析/索引/检索

时间序列数据分析

深度学习算法研究与应用

大数据处理

 

研究及出版

Books

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

杨云,杜飞 著 (2018):深度学习实战,清华大学出版社,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,中科院JCR一区, ESI 1% top期刊)
  2. 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,中科院JCR一区,ESI 1% top期刊)
  3. 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, 中科院JCR二区,中国计算机学会推荐期刊A类)
  4. 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,中科院JCR二区)
  5. 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,中科院JCR二区)
  6. 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,中科院JCR二区)
  7. 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,中科院JCR二区)
  8. 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,中科院JCR二区)
  9. 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,中科院JCR二区)
  10. 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,中科院JCR二区)
  11. 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,中科院JCR三区)
  12. 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,中科院JCR二区)
  13. 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,中科院JCR二区
  14. 代飞,赵文卓,杨云*,莫启,李彤,周华 (2017): BPMN 2.0编排的形式语义和分析, 软件学报, DOI:10.13328/j.cnki.jos.005280(EI)

 

學術獎項

2016 云南省中青年学术和技术带头人后备人才

2016  云南省 “海外高层次人才引进计划” 引进人才

 

專業屬會

2015-至今 中国计算机学会(CCF) 高级会员,  IEEE会员,  ACM会员,  ACIS会员,  CAAI会员