Yi Wang

According to our database, Yi Wang authored at least 20 papers between 2006 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Understanding and comparing scalable Gaussian process regression for big data.

Haitao Liu, Jianfei Cai, Yew-Soon Ong, Yi Wang

Knowl. Based Syst., 2019

2018

Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method.

Haitao Liu, Yew-Soon Ong, Jianfei Cai, Yi Wang

Eng. Appl. Artif. Intell., 2018

Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression.

Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong

Proceedings of the 35th International Conference on Machine Learning, 2018

2015

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

Mach. Learn., 2015

2014

Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach.

Xinxi Wang, Yi Wang, David Hsu, Ye Wang

ACM Trans. Multim. Comput. Commun. Appl., 2014

GBAGC: A General Bayesian Framework for Attributed Graph Clustering.

Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng

ACM Trans. Knowl. Discov. Data, 2014

A Fast Inference Algorithm for Stochastic Blockmodel.

Zhiqiang Xu, Yiping Ke, Yi Wang

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

LTC: A latent tree approach to classification.

Yi Wang, Nevin Lianwen Zhang, Tao Chen, Leonard K. M. Poon

Int. J. Approx. Reason., 2013

2012

Model-based multidimensional clustering of categorical data.

Tao Chen, Nevin Lianwen Zhang, Tengfei Liu, Kin Man Poon, Yi Wang

Artif. Intell., 2012

A model-based approach to attributed graph clustering.

Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Monte Carlo Bayesian Reinforcement Learning.

Yi Wang, Kok Sung Won, David Hsu, Wee Sun Lee

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Fast Multidimensional Clustering of Categorical Data.

Tengfei Liu, Nevin Lianwen Zhang, Kin Man Poon, Yi Wang, Hua Liu

Proceedings of the 2nd MultiClust Workshop: Discovering, 2011

Latent Tree Classifier.

Yi Wang, Nevin Lianwen Zhang, Tao Chen, Leonard K. M. Poon

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010

The Role of Operation Granularity in Search-Based Learning of Latent Tree Models.

Tao Chen, Nevin Lianwen Zhang, Yi Wang

Proceedings of the New Frontiers in Artificial Intelligence, 2010

Variable Selection in Model-Based Clustering: To Do or To Facilitate.

Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen, Yi Wang

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2008

Discovery of latent structures: Experience with the CoIL Challenge 2000 data set.

Nevin Lianwen Zhang, Yi Wang, Tao Chen

J. Syst. Sci. Complex., 2008

Latent Tree Models and Approximate Inference in Bayesian Networks.

Yi Wang, Nevin Lianwen Zhang, Tao Chen

J. Artif. Intell. Res., 2008

Latent tree models and diagnosis in traditional Chinese medicine.

Nevin Lianwen Zhang, Shihong Yuan, Tao Chen, Yi Wang

Artif. Intell. Medicine, 2008

2007

Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine.

Nevin Lianwen Zhang, Shihong Yuan, Tao Chen, Yi Wang

Proceedings of the Artificial Intelligence in Medicine, 2007

2006

Severity of Local Maxima for the EM Algorithm: Experiences with Hierarchical Latent Class Models.

Yi Wang, Nevin Lianwen Zhang

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006