TszHoChan MounirHamdi ChuiYingCheung MaodeMa A Link Adaptation Algorithm in MIMO-based WiMAX Systems. JCM 2 16-24 2007 ChristyM. K.Cheung MatthewK. O.Lee The Structure of Web-Based Information Systems Satisfaction: An Application of Confirmatory Factor Analysis. Springer 8 257-273 2007 HoiLingCheung CanqinTang Ding-XuanZhou Supports of Locally Linearly Independent M-Refinable Functions, Attractors of Iterated Function Systems and Tilings. Adv. Comput. Math. 17 257-268 2002 KevinK. F.Cheung MorrisSiu YungJong FongLokLee JimmyHo-ManLee EricT. H.Luk JunjieShang MartiK. H.Wong FARMTASIA: an online game-based learning environment based on the VISOLE pedagogy. Virtual Reality 12 17-25 2008 WilliamKwok-WaiCheung YuxiangSun Identifying a hierarchy of bipartite subgraphs for web site abstraction. Web Intelligence and Agent Systems 5 343-355 2007 Tien-ToanDo HolgerKropp MarkusSchwiegershausen PeterPirsch Implementation of pipelined multipliers on Xilinx FPGAs. Springer 1304 51-60 1997 WangLian DavidWai lokCheung NikosMamoulis Siu-MingYiu An Efficient and Scalable Algorithm for Clustering XML Documents by Structure IEEE Transactions on Knowledge and Data Engineering IEEE Educational Activities Department 16 82-96 2004 EricT. H.Luk MartiK. H.Wong KevinK. F.Cheung FongLokLee J.H. M.Lee Design and Implementation of Farmtasia: A Game Designed for the VISOLE Teaching Style. Springer 3942 566-571 2006 JianwuYang W.Cheung XiaoouChen Learning the Kernel Matrix for XML Document Clustering e-Technology, e-Commerce and e-Service, 2005. EEE '05. Proceedings. The 2005 IEEE International Conference on 353–358 2005 The rapid growth of XML adoption has urged for the need of a proper representation for semi-structured documents, where the document structural information has to be taken into account so as to support more precise document analysis. In this paper, an XML document representation named "structured link vector model" is adopted, with a kernel matrix included for modeling the similarity between XML elements. Our formulation allows individual XML elements to have their own weighted contribution to the overall document similarity while at the same time allows the between-element similarity to be captured. An iterative algorithm is derived to learn the kernel matrix. For performance evaluation, the ACM SIGMOD Record dataset as well as the CEDB dataset have been tested. Our proposed method outperforms significantly the traditional vector space model and the edit-distance based methods. In addition, the kernel matrix obtained as a by-product provides knowledge about the conceptual relationship between the XML elements. BaoyaoZhou SiuCheungHui AlvisCheuk MingFong Efficient sequential access pattern mining for web recommendations. KES Journal 10 155-168 2006