Yi Wang

Orcid: 0000-0001-8534-6868

Affiliations:
  • Rolls-Royce Singapore, Singapore
  • Institute of High Performance Computing, Singapore (2012 - 2016)
  • National University of Singapore, Department of Computer Science, Singapore (2011 - 2012)
  • Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong (2009 - 2012)


According to our database1, Yi Wang authored at least 21 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Low-Latency Video Conferencing System for Geo-Distributed Data Centers.
CoRR, 2023

2019
Understanding and comparing scalable Gaussian process regression for big data.
Knowl. Based Syst., 2019

2018
Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method.
Eng. Appl. Artif. Intell., 2018

Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression.
Proceedings of the 35th International Conference on Machine Learning, 2018

2015
Greedy learning of latent tree models for multidimensional clustering.
Mach. Learn., 2015

2014
Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach.
ACM Trans. Multim. Comput. Commun. Appl., 2014

GBAGC: A General Bayesian Framework for Attributed Graph Clustering.
ACM Trans. Knowl. Discov. Data, 2014

A Fast Inference Algorithm for Stochastic Blockmodel.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
LTC: A latent tree approach to classification.
Int. J. Approx. Reason., 2013

2012
Model-based multidimensional clustering of categorical data.
Artif. Intell., 2012

A model-based approach to attributed graph clustering.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Monte Carlo Bayesian Reinforcement Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Fast Multidimensional Clustering of Categorical Data.
Proceedings of the 2nd MultiClust Workshop: Discovering, 2011

Latent Tree Classifier.
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.
Proceedings of the New Frontiers in Artificial Intelligence, 2010

Variable Selection in Model-Based Clustering: To Do or To Facilitate.
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.
J. Syst. Sci. Complex., 2008

Latent Tree Models and Approximate Inference in Bayesian Networks.
J. Artif. Intell. Res., 2008

Latent tree models and diagnosis in traditional Chinese medicine.
Artif. Intell. Medicine, 2008

2007
Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine.
Proceedings of the Artificial Intelligence in Medicine, 2007

2006
Severity of Local Maxima for the EM Algorithm: Experiences with Hierarchical Latent Class Models.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006


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