Cane Wing-Ki Leung B.A. (Hons), Ph.D. (HK PolyU)
Research Fellow

Knowledge Discovery Systems Lab
School of Information Systems
Singapore Management University
80 Stamford Road
Singapore 178902

e-mail: caneleung [at] smu [dot] edu [dot] sg

Short Bio

I am a research fellow in the School of Information Systems, Singapore Management University. I am working with Dr. Jing Jiang on unsupervised information extraction in collaboration with the DSO National Laboratories. I am also a member of the Social Network Mining Research Group, working with Professor Ee-Peng Lim on trust mining in social networks.

I received my Ph.D. in Computer Science from The Hong Kong Polytechnic University in 2009, under the supervision of Dr. Stephen Chi-Fai Chan and Dr. Fu-Lai Chung. My Ph.D. research focused on data and text mining techniques with applications to collaborative filtering and sentiment analysis.

Research Interests

I am interested in data and text mining approaches to recommendation and prediction problems involving user-generated content in general. I have been working on problems related to social network analysis, information extraction, sentiment analysis and collaborative-filtering-based recommender systems.

Selected Publications

Notice: The materials below are presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders.

Journal Articles

  • A Rating Inference Framework for Mining User Preferences from Reviews.
    by Cane Wing-ki Leung, Stephen Chi-fai Chan, Fu-lai Chung and Grace Ngai.
    World Wide Web Journal, 14(2): 187-215, March 2011.
  • An Empirical Study of a Cross-level Association Rule Mining Approach to Cold-start Recommendations.
    by Cane Wing-ki Leung, Stephen Chi-fai Chan and Fu-lai Chung.
    Knowledge-based Systems, 21(7): 515-529, October 2008. [link]
  • A Collaborative Filtering Framework Based on Fuzzy Association Rules and Multiple-Level Similarity.
    by Cane Wing-ki Leung, Stephen Chi-fai Chan and Fu-lai Chung.
    Knowledge and Information Systems (KAIS), 10(3): 357-381, October 2006. [link]
  • Supporting Real-time Collaborative Learning with Web-based Groupware.
    by Stephen C. F. Chan, Cane W. K. Leung, Cassidy Y. Yeung, Teddy C. Y. Chow, Edward W. C. Tsui, Vincent T. Y. Ng.
    Innovations in Education and Teaching International, 42(4): 349-362, November 2005. [link]

Book Chapters
  • Sentiment Analysis of Product Reviews.
    by Cane W. K. Leung and Stephen C. F. Chan.
    J. Wang (Eds.), Encyclopedia of Data Warehousing and Mining - 2nd Edition, Information Science Reference, pp. 1794-1799, August 2008.
  • Evaluation of a Rating Inference Approach to Utilizing Reviews for Collaborative Recommendation.
    by Cane W. K. Leung, Stephen C. F. Chan and Fu-lai Chung.
    A. T. S. Chan, et al. (Eds.), Cooperative Internet Computing, World Scientific, pp. 94-109, March 2008. [link]
    * extended version of "Integrating Collaborative Filtering and Sentiment Analysis: A Rating Inference Approach"

Conference/Workshop/Poster Papers
  • Unsupervised Information Extraction with Distributional Prior Knowledge.
    by Cane Wing-ki Leung, Jing Jiang, Kian Ming A. Chai, Hai Leong Chieu and Loo-Nin Teow.
    2011 Conference on Empirical Methods on Natural Language Processing, Edinburgh (EMNLP), pp. 814-824, Edinburgh, UK, Jul 2011. [ACL Anthology] (AR = 149/628 = 23.7%)
  • Modeling Link Formation Behaviors in Dynamic Social Networks.
    by Viet-An Nguyen, Cane Wing-ki Leung and Ee-Peng Lim.
    International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP), pp. 349-357, Maryland, USA, Mar 2011. [SpringerLink]
  • What Do People Want in Microblogs? Measuring Interestingness of Hashtags in Twitter.
    by Jianshu Weng, Ee-Peng Lim, Qi He and Cane Wing-ki Leung.
    10th IEEE International Conference on Data Mining (ICDM), pp. 1121-1126, Sydney, Australia, Dec 2010. [IEEE Xplore] (AR = 155/797 = 19.44%)
  • Mining Interesting Link Formation Rules in Social Networks.
    by Cane Wing-ki Leung, Ee-Peng Lim, David Lo and Jianshu Weng.
    19th ACM International Conference on Information and Knowledge Management (CIKM), pp. 209-218, Toronto, Canada, Oct 2010. [pdf] [ACM DL] (AR = 127/945 = 13.4%)
  • Applying Cross-level Association Rule Mining to Cold-start Recommendations.
    by Cane Wing-ki Leung, Stephen Chi-fai Chan and Fu-lai Chung.
    WI-IAT Workshop on Web Personalization and Recommender Systems, pp. 133-136, Fremont, USA, Nov 2007. [IEEE Xplore]
  • Integrating Collaborative Filtering and Sentiment Analysis: A Rating Inference Approach.
    by Cane Wing-ki Leung, Stephen Chi-fai Chan and Fu-lai Chung.
    ECAI 2006 Workshop on Recommender Systems, pp. 62-66, Riva del Garda, Italy, 2006. [pdf]
  • Towards Collaborative Travel Recommender Systems.
    by Cane Wing-ki Leung, Stephen Chi-fai Chan and Korris Fu-lai Chung.
    4th International Conference on Electronic Business, pp. 445-451, Beijing, China, 2004.
  • GroupUML: A PDA-based Graphical Editor To Support Real-time Collaboration in Student Group Projects.
    by Stephen C. F. Chan, Cane W. K. Leung and Vincent T. Y. Ng.
    International Conference on Computers in Education, pp. 222-223, Hong Kong, 2003.

Professional Activities

Reviewer:

  • ACM Transactions on Intelligent Systems and Technology (TIST) - 2012
  • Journal of the American Society for Information Science and Technology (JASIST) - 2010, 2011, 2012
  • Knowledge-based Systems (KNOSYS) - 2011
  • Journal of Information Technology Research - 2011
  • IEEE Transactions on Knowledge and Data Engineering (TKDE) - 2007, 2008, 2009
  • Encyclopedia of Data Warehousing and Mining - 2nd Edition - 2007
  • IEEE/WIC/ACM International Conference on Web Intelligence (WI 2009)
  • 9th International Conference in Web Information Systems Engineering (WISE 2008)

Program Committee (Selected):
  • IASTED International Conference on Artificial Intelligence and Applications (AIA 2010)
  • The Second Beijing-Hong Kong International PhD Forum (2007)

Teaching Assistantship

Department of Computing, The Hong Kong Polytechnic University:

  • COMP5134: Information System Development with Object-Oriented Methods (Spring 2007)
  • COMP311: Foundations of Database Systems (Fall 2004, 2005, 2006)
  • COMP316: Object-oriented Methods for Information Systems Development (Spring 2006)
  • COMP314/414: (Introduction To) Object-Oriented Technologies (Spring 2004)
  • COMP335: Fundamentals of Database Systems (Fall 2003)
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updated: Mar 2012