BOOKS

1. Bo Long , Zhongfei (Mark) Zhang, and Philip S. Yu,
   Relational Data Clustering: Models, Algorithms, and Applications,
   Chapman & Hall/CRC Publishers, ISBN: 9781420072617, 2008.

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.

Peer Refereed Conference Papers

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

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

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

4. 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%]

5. 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%]

6. 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%]

7. 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%]

8. 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%]

9. 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%]

10. 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%]

11. 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%]

12. 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%]

13. 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%]

Peer Refereed Workshop Papers

1. 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)