Yi Wang

25 papers A* 5B 1C 1Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2019 J jnl
Understanding and comparing scalable Gaussian process regression for big data.
Knowl. Based Syst.
Haitao Liu, Jianfei Cai, Yew-Soon Ong, Yi Wang
2018 J jnl
Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method.
Eng. Appl. Artif. Intell.
Haitao Liu, Yew-Soon Ong, Jianfei Cai, Yi Wang
2018 A* conf
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression.
ICML
Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong
2018 J jnl
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression.
CoRR
Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong
2018 J jnl
Understanding and Comparing Scalable Gaussian Process Regression for Big Data.
CoRR
Haitao Liu, Jianfei Cai, Yew-Soon Ong, Yi Wang
2015 J jnl
Greedy learning of latent tree models for multidimensional clustering.
Mach. Learn.
Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen, April Hua Liu, Leonard K. M. Poon, Yi Wang
2014 A* conf
A Fast Inference Algorithm for Stochastic Blockmodel.
ICDM
Zhiqiang Xu, Yiping Ke, Yi Wang
2014 J jnl
Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach.
ACM Trans. Multim. Comput. Commun. Appl.
Xinxi Wang, Yi Wang, David Hsu, Ye Wang
2014 J jnl
GBAGC: A General Bayesian Framework for Attributed Graph Clustering.
ACM Trans. Knowl. Discov. Data
Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng
2014 J jnl
Latent Tree Models and Approximate Inference in Bayesian Networks.
CoRR
Yi Wang, Nevin Lianwen Zhang, Tao Chen
2013 J jnl
Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach.
CoRR
Xinxi Wang, Yi Wang, David Hsu, Ye Wang
2013 J jnl
LTC: A latent tree approach to classification.
Int. J. Approx. Reason.
Yi Wang, Nevin Lianwen Zhang, Tao Chen, Leonard K. M. Poon
2012 — conf
A model-based approach to attributed graph clustering.
SIGMOD Conference
Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng
2012 J jnl
Model-based multidimensional clustering of categorical data.
Artif. Intell.
Tao Chen, Nevin Lianwen Zhang, Tengfei Liu, Kin Man Poon, Yi Wang
2012 A* conf
Monte Carlo Bayesian Reinforcement Learning.
ICML
Yi Wang, Kok Sung Won, David Hsu, Wee Sun Lee
2011 — conf
Fast Multidimensional Clustering of Categorical Data.
MultiClust@ECML/PKDD
Tengfei Liu, Nevin Lianwen Zhang, Kin Man Poon, Yi Wang, Hua Liu
2011 C conf
Latent Tree Classifier.
ECSQARU
Yi Wang, Nevin Lianwen Zhang, Tao Chen, Leonard K. M. Poon
2010 — conf
The Role of Operation Granularity in Search-Based Learning of Latent Tree Models.
JSAI-isAI Workshops
Tao Chen, Nevin Lianwen Zhang, Yi Wang
2010 A* conf
Variable Selection in Model-Based Clustering: To Do or To Facilitate.
ICML
Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen, Yi Wang
2008 J jnl
Discovery of latent structures: Experience with the CoIL Challenge 2000 data set.
J. Syst. Sci. Complex.
Nevin Lianwen Zhang, Yi Wang, Tao Chen
2008 A* conf
Latent Tree Models and Approximate Inference in Bayesian Networks.
AAAI
Yi Wang, Nevin Lianwen Zhang, Tao Chen
2008 J jnl
Latent Tree Models and Approximate Inference in Bayesian Networks.
J. Artif. Intell. Res.
Yi Wang, Nevin Lianwen Zhang, Tao Chen
2008 J jnl
Latent tree models and diagnosis in traditional Chinese medicine.
Artif. Intell. Medicine
Nevin Lianwen Zhang, Shihong Yuan, Tao Chen, Yi Wang
2007 B conf
Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine.
AIME
Nevin Lianwen Zhang, Shihong Yuan, Tao Chen, Yi Wang
2006 — conf
Severity of Local Maxima for the EM Algorithm: Experiences with Hierarchical Latent Class Models.
Probabilistic Graphical Models
Yi Wang, Nevin Lianwen Zhang