Journal Papers

H. Wang, H. Shan, A. Banerjee.

Bayesian Cluster Ensembles

Statistical Analysis and Data Mining, 2011 (Invited Paper)

[pdf] [code]

H. Shan, A. Banerjee.

Mixed-Membership Naive Bayes Models.
Data Mining and Knowledge Discovery (DMKD), 2010.

[pdf] [code] 

Conference Papers

H. Shan, J. Kattge, P. Reich, A. Banerjee, F. Schrodt, M. Reichstein.

Gap Filling in the Plant Kingdom---Trait Prediction Using Hierarchical Probabilistic Matrix Factorization.
International Conference on Machine Learning (ICML), Edinburgh, U.K., 2012.

(Acceptance rate: 27.3%) [pdf] 

T. Zhou, H. Shan, A. Banerjee, G. Sapiro.

Kernelized Probabilistic Matrix Factorization.
SIAM International Conference on Data Mining (SDM), Anaheim, U.S., 2012.

(Acceptance rate: 15%) [pdf] [code]

H. Shan and A. Banerjee.

Generalized Probabilistic Matrix Factorizations for Collaborative Filtering.
IEEE International Conference on Data Mining (ICDM), Sydney, Australia, 2010.

(Acceptance rate: 19.45%) [pdf] [data] [code]

                                        A. Agovic, H. Shan, and A. Banerjee.

                                        Analyzing aviation safety reports: From topic modeling to scalable multi-label classification.
                                        Conference on Intelligent Data Understanding (CIDU), Mountain View, U.S., 2010.

                                        [pdf]

                                        H. Shan, G. Jiang and K. Yoshihira.

                                        Extracting Overlay Invariants of Distributed Systems for Autonomic System Management.

                                        IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), Budapest, Hungary, 2010.

                                        (Acceptance rate: 28.09%) [pdf]

H. Shan, A. Banerjee.

Residual Bayesian Co-clustering for Matrix Approximation.

SIAM International Conference on Data Mining (SDM), Columbus, U.S., 2010.

(Acceptance rate: 23.36%) [pdf] [code]

H. Shan, A. Banerjee, Nikunj Oza.

Discriminative Mixed-membership Models.

IEEE International Conference on Data Mining (ICDM), Miami, U.S., 2009.

(Acceptance rate: 8.91%) [pdf] [code]

H. Wang, H. Shan, A. Banerjee.

Bayesian Cluster Ensembles.

SIAM International Conference on Data Mining (SDM), Sparks, U.S., 2009.

(Acceptance rate: 15.67%) [pdf] [code]

H. Shan, A. Banerjee.

Bayesian Co-clustering.

IEEE International Conference on Data Mining (ICDM), Pisa, Italy, 2008.

(Acceptance rate: 9.67%) [pdf] [code]

A. Banerjee, H. Shan.

Latent Dirichlet Conditional Naïve Bayes Models.

IEEE International Conference on Data Mining (ICDM), Omaha, U.S., 2007.

(Acceptance rate: 19.06%) [pdf] [code]

Y. Zhuang, H. Shan, F. Wu.

An Approach for Cross-media Retrieval with Cross-reference Graph and PageRank.

International Multimedia Modeling Conference (MMM), Beijing, China, 2006.

[pdf]

Book Chapters

H. Shan, A. Agovic, A. Banerjee.

Discriminative Topic Models                                                                               

Machine learning and Knowledge Discovery for Engineering Systems. CRC Press, 2011.

A. Banerjee, H. Shan

Model based Clustering                                                                               

Encyclopedia of Machine Learning. Springer, 2010

Posters

H. Shan, A. Banerjee.

Bayesian Multi-relational Clustering                                                                               

Doctoral Student Forum, Siam International Conference on Data Mining, Sparks, U.S., 2009.

H. Shan, A. Banerjee.

Anomaly Detection On ASRS Database of Text Reports                                                           

Conference on Intelligent Data Understanding (CIDU), 2008