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Kun Yue: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Zhiming Pan, Yizhong Wu, Kun Yue, Xiaoling Wang, Aoying Zhou
    Efficient Community Management and Optimization Strategies of Web Services in Peer-to-Peer Environments. [Citation Graph (0, 0)][DBLP]
    APWeb, 2004, pp:301-310 [Conf]
  2. Kun Yue, Weiyi Liu, Aoying Zhou
    A Framework of Web Service Composition for Distributed XML Query Evaluation. [Citation Graph (0, 0)][DBLP]
    APWeb, 2005, pp:572-578 [Conf]
  3. Kun Yue, Zhengchuan Xu, Zhimao Guo, Aoying Zhou
    Constraint Preserving XML Updating. [Citation Graph (0, 0)][DBLP]
    APWeb, 2003, pp:47-58 [Conf]
  4. Kun Yue, Weiyi Liu, Xiaoling Wang, Aoying Zhou
    Modeling Web Services Based on the Bayesian Network. [Citation Graph (0, 0)][DBLP]
    ASIAN, 2005, pp:263-264 [Conf]
  5. Xiaoling Wang, Kun Yue, Joshua Zhexue Huang, Aoying Zhou
    Service Selection in Dynamic Demand-Driven Web Services. [Citation Graph (0, 0)][DBLP]
    ICWS, 2004, pp:376-383 [Conf]
  6. Aoying Zhou, Qing Wang, Zhimao Guo, Xueqing Gong, Shihui Zheng, Hongwei Wu, Jianchang Xiao, Kun Yue, Wenfei Fan
    TREX: DTD-Conforming XML to XML Transformations. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2003, pp:670- [Conf]
  7. Dunlu Peng, Yang Yuan, Kun Yue, Xiaoling Wang, Aoying Zhou
    Capacity Planning for Composite Web Services Using Queueing Network-Based Models. [Citation Graph (0, 0)][DBLP]
    WAIM, 2004, pp:439-448 [Conf]
  8. Kun Yue, Weiyi Liu, Weihua Li
    Towards Web Services Composition Based on the Mining and Reasoning of Their Causal Relationships. [Citation Graph (0, 0)][DBLP]
    APWeb/WAIM, 2007, pp:777-784 [Conf]

  9. Learning and Inferences of the Bayesian Network with Maximum Likelihood Parameters. [Citation Graph (, )][DBLP]


  10. Learning-Function-Augmented Inferences of Causalities Implied in Health Data. [Citation Graph (, )][DBLP]


  11. No-regret learning for cost constrained resource selection game. [Citation Graph (, )][DBLP]


  12. Representing and Inferring Causalities among Classes of Multidimensional Data. [Citation Graph (, )][DBLP]


  13. Quantifying influences in the qualitative probabilistic network with interval probability parameters. [Citation Graph (, )][DBLP]


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