BOOKS

  1. Bo Long , Zhongfei (Mark) Zhang, and Philip S. Yu,
    Relational Data Clustering: Models, Algorithms, and Applications,
    Chapman & Hall/CRC Publishers, ISBN: 9781420072617, 2010.


Patents

  1. Bo Long and Zhongfei (Mark) Zhang,
    Soft Correspondence Ensemble Clustering,
    US PTO serial number 60/867,288.

  2. Bo Long and Zhongfei (Mark) Zhang,
    Spectral Relational Clustering, Multi-type Relational Data, Collective Factorization on Related Matrices,
    US PTO serial number 60/867,288.

  3. Bo Long and Zhongfei (Mark) Zhang,
    Mixed Membership Relational Clustering,
    US PTO serial number 61/087,168.


Peer Refereed Papers

  1. Deepak K Agarwal, Bee-Chung Chen, Bo Long
    Locality-Sensitive Factor Models for Multi-Context Recommendation,
    In the proceedings of The 17th Annual ACM SIGKDD Conference,
    San Diego, USA, 2011. (KDD2011)

  2. Shuanghong Yang, Bo Long, Alex Smola, Hongyuan Zha, Zhaohui Zheng
    Collaborative-competitive filtering: Learning recommender using context of user choice,
    In the proceedings of The 34th Annual ACM SIGIR Conference,
    Beiing, China, 2011. (SIGIR2011)

  3. Shuanghong Yang, Bo Long, Alex Smola, Narayanan Sadagopan, Zhaohui Zheng, Hongyuan Zha
    Like like alike -- Joint friendship and interest propagation in social networks,
    In the proceedings of 20th International World Wide Web Conferences,
    Hyderabad, India, 2011. (WWW2011)

  4. Bo Long, Zhongfei (Mark) Zhang, Philip S.Yu,
    A general framework for relation graph clustering,
    In the Journal of Knowledge and information Systems,
    393-413, Vol 24, 2010 (KAIS)

  5. Bo Long, Yi Chang, Srinivas Vadrevu, Shuanghong Yang, Zhaohui Zheng
    Ranking with Auxilary Data,
    In the proceedings of 20th ACM International Conference on Information and Knowledge Management,
    Toronta, Canada, 2010. (CIKM2010)

  6. Bo Long, Olivier Chapelle, Ya Zhang, Yi Chang,Zhaohui Zheng,Belle Tseng
    Active Learning for Ranking through Expected Loss Optimization,
    In the proceedings of 33rd Annual ACM SIGIR Conference ,
    Geneva, Switzerland, 2010. (SIGIR2010)[Acceptance rate: 16%]

  7. Bo Long, Sudarshan Lamkhede, Srinivas Vadrevu, Ya Zhang, Belle Tseng
    A risk minimization framework for domain adaptation,
    In the proceedings of 19th ACM International Conference on Information and Knowledge Management,
    Hongkong, China, 2009. (CIKM2009)[Acceptance rate: 15%]

  8. Liangcai Shu, Bo Long, Weiyi Meng
    A Latent Topic Model for Complete Entity Resolution,
    In the proceedings of 25th IEEE International Conference on Data Engineering,
    Shanghai, China, 2008. (ICDE2008)[Acceptance rate: 17%]

  9. Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, Bo Long
    Dirichlet Process Based Evolutionary Clustering,
    In proceedings of the 8th IEEE International Conference on Data Mining,
    Pisa, Italy, 2008. (ICDM2008)[Acceptance rate: 9.7%]

  10. Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, Bo Long
    Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State,
    In proceedings of the 8th IEEE International Conference on Data Mining,
    Pisa, Italy, 2008. (ICDM2008)[Acceptance rate: 9.7%]

  11. Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu, Tianbing Xu
    Clustering on Complex Graphs,
    In proceedings of the 23nd National Conference on Artificial Intelligence,
    Chicago, Illinois, USA, 2008. (AAAI2008)[Acceptance rate: 24%]

  12. Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang,
    A General Model for Multiple View Unsupervised Learning,
    In proceedings of the 8th SIAM International Conference on Data Mining,
    Atlanta, Georgia, USA, 2008. (SDM2008) [Acceptance rate: 14%]

  13. Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip S. Yu,
    Community Learning by Graph Approximation,
    In proceedings of the 8th IEEE International Conference on Data Mining, 232-242,
    Omaha, NE, USA, 2007. (ICDM2007) [Acceptance rate: 7%]

  14. Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu,
    A Probabilistic Framework for Relational Clustering,
    In proceedings of the 13th ACM International Conference on Knowledge Discovery and Data Mining, 470-479,
    San Jose, CA, USA, 2007. (KDD2007)[Acceptance rate: 8%]

  15. Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu,
    Graph Partitioning Based on Link Distribution,
    In proceedings of the 22nd National Conference on Artificial Intelligence, 578-583,
    Vancouver, British Columbia, Canada, 2007. (AAAI2007)[Acceptance rate: 27%]

  16. Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip S. Yu,
    Relational Clustering by Symmetric Convex Coding,
    In proceedings of the 24th International Conference on Machine Learning, 569-576,
    Corvallis, OR, USA. (ICML2007) [Acceptance rate: 28%]

  17. Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip S. Yu,
    Unsupervised Learning on K-partite Graphs,
    In proceedings of the 12th ACM International Conference on Knowledge Discovery and Data Mining, 317-326
    Philadelphia, PA, USA, 2006. (KDD2006) [Acceptance rate: 11%]

  18. Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip S. Yu,
    Spectral Clustering for Multi-type Relational Data,
    In proceedings of the 23th International Conference on Machine Learning, 585-592,
    Pittsburgh, PA, USA. (ICML2006)[Acceptance rate: 20%]

  19. Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu,Philip S. Yu,
    A General Model for Relational Clustering,
    In proceedings of Statistical Relational Learning workshop in the 23th ICML,
    Pittsburgh, PA, USA. (SRL2006)

  20. Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu,
    Combine Multiple Clusterings by Soft Correspondence,
    In proceedings of the 6th IEEE International Conference on Data Mining, 282-289,
    Houston, TX, USA, 2005.(ICDM2005) [Acceptance rate: 11%]

  21. Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu,
    Co-clustering by Block Value Decomposition,
    In proceedings of the 11th ACM International Conference on Knowledge Discovery and Data Mining, 635-640,
    Chicago, IL, USA, 2005. (KDD2005)[Acceptance rate: 16%]