Web Intelligence and Social Computing Lab

The Web Intelligence and Social Computing (WISC) Lab focuses on the fundamental as well as applied computational techniques for collaborative and collective intelligence of group behaviors on the Internet. Our research topics include, but not limited to web intelligence, web data mining, knowledge discovery on the web, web analytics, web information retrieval, learning to rank, ranking algorithms, relevance feedback, collaborative filtering, recommender systems, human/social computation, social games, opinion mining, sentiment analysis, models and theories about social networks, large graph and link-based algorithms, social marketing, monetization of the web, security/privacy issues related to web intelligence and social computing, etc.

Interested Research Topics

Selected Publications (in recent years)

Machine Learning/Data Mining

  1. [2008, inproceedings | www]
    Irwin Huang Kaizhu King and Michael R. Lyu, "Direct Zero-norm Optimization for Feature Selection," in Proc. Proceedings to the Eighth IEEE International Conference on Data Mining (ICDM2008), Pisa, Italy, 2008.
  2. [2008, inproceedings | www]
    Kaizhu Huang, Zenglin Xu, Irwin King, and Michael R. Lyu, "Semi-supervised Learning from General Unlabeled Data," in Proc. Proceedings to the Eighth IEEE International Conference on Data Mining (ICDM2008), Pisa, Italy, 2008.
  3. [2008, inproceedings | www]
    Zenglin Xu, Rong Jin, Irwin King, and Michael Lyu, "An Extended Level Method for Efficient Multiple Kernel Learning," in Proc. Advances in Neural Information Processing System 21 (NIPS2008), Cambridge, MA, 2008.
  4. [2008, inproceedings | www]
    Haixuan Yang, Irwin King, and Michael Lyu, "Learning with Consistency between Inductive Functions and Kernels," in Proc. Advances in Neural Information Processing System 21 (NIPS2008), Cambridge, MA, 2008.
  5. [2008, inproceedings | www]
    Hao Ma, Haixuan Yang, Irwin King, and Michael R. Lyu, "Learning Latent Semantic Relaions from Query Logs for Query Suggestion," in Proc. Proceedings to the ACM 17th Conference on Information and Knowledge Management (CIKM2008), Napa Valley, USA, 2008.
  6. [2008, inproceedings | www]
    Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, and Irwin King, "Semi-supervised Text Categorization by Active Search," in Proc. Proceedings to the ACM 17th Conference on Information and Knowledge Management (CIKM2008), Napa Valley, USA, 2008.
  7. [2008, inproceedings | www]
    Haiqin Yang, Kaizhu Huang, Irwin King, and Michael R. Lyu, "Efficient Minimax Clustering Probability machine by Generalized Probability Product Kernel," in Proc. Proceedings to the World Congress on Computational Intelligence (WCCI2008), Hong Kong, 2008.
  8. [2007, inproceedings | www]
    Zenglin Xu, Ron Jin, Jianke Zhu, Irwin King, and Michael Lyu, "Efficient Convex Relaxation for Transductive Support Vector Machine," in Proc. Advances in Neural Information Processing System 20 (NIPS2007), Cambridge, MA, 2007.
  9. [2008, inproceedings | www]
    Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, and Michael Lyu, "Kernel Maximum a Posteriori Classification with Error Bound Analysis," in Proc. Proceedings of the International Conference on Neural Information Processing (ICONIP2007), Kitakyushu, Japan, 2008, pp. 841-850.
  10. [2007, inproceedings | www]
    Xiang Peng and Irwin King, "Large Scale Imbalanced Classification with Biased Minimax Probability Machine," in Proc. Proceedings of 20th International Joint Conference on Neural Networks (IJCNN2007), Orlando, Florida, 2007.
  11. [2007, inproceedings | www]
    Zenglin Xu, Jianke Zhu, Michael Lyu, and Irwin King, "Semi-supervised Spectral Kernel Learning," in Proc. Proceedings of 20th International Joint Conference on Neural Networks (IJCNN2007), Orlando, Florida, 2007.
  12. [2007, inproceedings | www]
    Xiang Peng and Irwin King, "Efficient Training on Biased Minimax Probability Machine for Imbalanced Text Classification," in Proc. Proceedings of 16th International Conference on World Wide Web (WWW2007) Poster Session, Banff, Alberta, Canada, 2007.

Collaborative Filtering/Recommender Systems

  1. [2008, inproceedings | www]
    Hao Ma, Haixuan Yang, Michael R. Lyu, and Irwin King, "SoRec: Social Recommendation Using Probabilistic Matrix Factorization," in Proc. Proceedings to the ACM 17th Conference on Information and Knowledge Management (CIKM2008), Napa Valley, USA, 2008.
  2. [2007, inproceedings | www]
    Hao Ma, Irwin King, and Michael R. Lyu, "Effective Missing Data Prediction for Collaborative Filtering," in Proc. Proceedings to the Special Interest Group on Information Retrieval (SIGIR2007), Amsterdam, Netherlands, 2007, pp. 39-46.

Human Computing/Social Games

  1. [2008, inproceedings | www]
    Ling Jyh Chen, Bo-Chun Wang, Kuan Ta Chen, Irwin King, and Jimmy Ho-Man Lee, "An Analytical Study of Puzzle Selection Strategies for the ESP Game," in Proc. Proceedings to the IEEE/WIC/ACM WI-2008 (WI2008), Sydney, Australia, 2008.
  2. [2008, inproceedings | www]
    Chien-Wei Lin, Kuan Ta Chen, Ling Jyh Chen, Irwin King, and Jimmy Ho-Man Lee, "An Analytical Approach to Optimizing The Utility of ESP Games," in Proc. Proceedings to the IEEE/WIC/ACM WI-2008 (WI2008), Sydney, Australia, 2008.

Learning to Rank

  1. [2009, inproceedings | www]
    Hongbo Deng, Irwin King, and Michael R. Lyu, "Effective Latent Space Graph-based Re-ranking Model with Global Consistency," in Proc. Proceedings to the Second ACM International Conference on Web Search and Data Mining (WSDM2009), Barcelona, Spain, 2009.
  2. [2007, inproceedings | www]
    Haixuan Yang, Irwin King, and Michael R. Lyu, "DiffusionRank: A Possible Penicillin for Web Spamming," in Proc. Proceedings to the Special Interest Group on Information Retrieval (SIGIR2007), Amsterdam, Netherlands, 2007, pp. 431-438.
  3. [2006, inproceedings | www]
    Haixuan Yang, Irwin King, and Michael R. Lyu, "Predictive random graph ranking on the Web," in Proc. 2006 International Joint Conference on Neural Networks (IJCNN2006), Vancouver, Canada, 2006, pp. 1825-1832.
  4. [2005, inproceedings | www]
    Haixuan Yang, Irwin King, and Michael R. Lyu, "Predictive Ranking: A Novel Page Ranking Approach by Estimating the Web Structure," in Proc. Poster Proceedings of the Fourteenth International World Wide Web Conference, 2005, pp. 944-945.

Web Intelligence

  1. [2007, inproceedings | www]
    Zenjiang Lin, Michael Lyu, and Irwin King, "Extending Link-based Algorithms for Similar Web Pages with Neighborhood Structure," in Proc. Proceedings to the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, (WI2007), Silicon Valley, CA, USA, 2007, pp. 263-266.
  2. [2007, inproceedings | www]
    Wei Wei, Irwin King, and Jimmy Ho-Man Lee, "Bibliographic Attributes Extraction with Layer-upon-Layer Tagging," in Proc. Proceedings of the Ninth International Conference on Document Analysis and Recognition (ICDAR2007), Brazil, 2007, pp. 804-808.
  3. [2007, inproceedings | www]
    Zenglin Xu, Irwin King, and Michael R. Lyu, "Kernel-based Heterogeneous Web Page Classification," in Proc. Proceedings of 16th International Conference on World Wide Web (WWW2007) Poster Session, Banff, Alberta, Canada, 2007.

Social Networks

  1. [2008, inproceedings | www]
    Hongbo Deng, Michael R. Lyu, and Irwin King, "Formal Models for Expert Finding on {DBLP} Bibliography Data," in Proc. Proceedings to the Eighth IEEE International Conference on Data Mining (ICDM2008), Pisa, Italy, 2008.
  1. [2008, inproceedings | www]
    Wei Wei, Irwin King, and Jimmy Ho-Man Lee, "RATE: a Review of Reviewers in a Manuscript Review Process," in Proc. Proceedings to the IEEE/WIC/ACM WI-2008 (WI2008), Sydney, Australia, 2008.
  2. [2008, inproceedings | www]
    Hao Ma, Haixuan Yang, Michael R. Lyu, and Irwin King, "Mining Social Networks Using Heat Diffusion Processes for Marketing Candidates Selection," in Proc. Proceedings to the ACM 17th Conference on Information and Knowledge Management (CIKM2008), Napa Valley, USA, 2008.
  3. [2007, inproceedings | www]
    Wei Wei, Jimmy Lee, and Irwin King, "Measuring Credibility of Users in an E-learning Environment," in Proc. Proceedings of 16th International Conference on World Wide Web (WWW2007) Poster Session, Banff, Alberta, Canada, 2007.

Conferences, Symposia, and Workshops

Conferences

Symposia

Workshops

Journals, Books, other Media

Journals

Books

Other Media

People, Groups, Labs

People

Groups

Labs

Software

  • Pajek–Pajek (Slovene word for Spider) is a program, for Windows, for analysis and visualization of large networks.

See Also

References

 
wisc_lab/home.txt · Last modified: 2015/10/09 14:58 by cathy     Back to top