Severity of Local Maxima for the EM Algorithm: Experiences with Hierarchical Latent Class Models. - Yi Wang 006; Nevin Lianwen Zhang (Probabilistic Graphical Models, 2006)

Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine. - Nevin Lianwen Zhang; Shihong Yuan; Tao Chen; Yi Wang 006 (AIME, 2007)

Latent tree models and diagnosis in traditional Chinese medicine. - Nevin Lianwen Zhang; Shihong Yuan; Tao Chen; Yi Wang 006 (Artif. Intell. Medicine, 2008)

Latent Tree Models and Approximate Inference in Bayesian Networks. - Yi Wang 006; Nevin Lianwen Zhang; Tao Chen (J. Artif. Intell. Res., 2008)

Discovery of latent structures: Experience with the CoIL Challenge 2000 data set. - Nevin Lianwen Zhang; Yi Wang 006; Tao Chen (J. Syst. Sci. Complex., 2008)

Variable Selection in Model-Based Clustering: To Do or To Facilitate. - Leonard K. M. Poon; Nevin Lianwen Zhang; Tao Chen; Yi Wang 006 (ICML, 2010)

The Role of Operation Granularity in Search-Based Learning of Latent Tree Models. - Tao Chen; Nevin Lianwen Zhang; Yi Wang 006 (JSAI-isAI Workshops, 2010)

Latent Tree Classifier. - Yi Wang 006; Nevin Lianwen Zhang; Tao Chen; Leonard K. M. Poon (ECSQARU, 2011)

Fast Multidimensional Clustering of Categorical Data. - Tengfei Liu; Nevin Lianwen Zhang; Kin Man Poon; Yi Wang 006; Hua Liu (MultiClust@ECML/PKDD, 2011)

Monte Carlo Bayesian Reinforcement Learning. - Yi Wang 006; Kok Sung Won; David Hsu; Wee Sun Lee (ICML, 2012)

A model-based approach to attributed graph clustering. - Zhiqiang Xu 003; Yiping Ke; Yi Wang 006; Hong Cheng 001; James Cheng (SIGMOD Conference, 2012)

Model-based multidimensional clustering of categorical data. - Tao Chen; Nevin Lianwen Zhang; Tengfei Liu; Kin Man Poon; Yi Wang 006 (Artif. Intell., 2012)

LTC: A latent tree approach to classification. - Yi Wang 006; Nevin Lianwen Zhang; Tao Chen; Leonard K. M. Poon (Int. J. Approx. Reason., 2013)

A Fast Inference Algorithm for Stochastic Blockmodel. - Zhiqiang Xu 003; Yiping Ke; Yi Wang 006 (ICDM, 2014)

GBAGC: A General Bayesian Framework for Attributed Graph Clustering. - Zhiqiang Xu 003; Yiping Ke; Yi Wang 006; Hong Cheng 001; James Cheng (ACM Trans. Knowl. Discov. Data, 2014)

Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach. - Xinxi Wang; Yi Wang 006; David Hsu; Ye Wang 007 (ACM Trans. Multim. Comput. Commun. Appl., 2014)

Greedy learning of latent tree models for multidimensional clustering. - Tengfei Liu; Nevin Lianwen Zhang; Peixian Chen; April Hua Liu; Leonard K. M. Poon; Yi Wang 006 (Mach. Learn., 2015)

Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression. - Haitao Liu 002; Jianfei Cai 001; Yi Wang 006; Yew-Soon Ong (ICML, 2018)

Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method. - Haitao Liu 002; Yew-Soon Ong; Jianfei Cai 001; Yi Wang 006 (Eng. Appl. Artif. Intell., 2018)

Understanding and comparing scalable Gaussian process regression for big data. - Haitao Liu 002; Jianfei Cai 001; Yew-Soon Ong; Yi Wang 006 (Knowl. Based Syst., 2019)