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Hypergraph Pre-training with Graph Neural Networks


May 23, 2021
Boxin Du, Changhe Yuan, Robert Barton, Tal Neiman, Hanghang Tong


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Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution


May 12, 2021
Robert A. Barton, Tal Neiman, Changhe Yuan

* Presented at the Knowledge Management for E-Commerce Workshop at WWW'21 

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Most Relevant Explanation in Bayesian Networks


Jan 16, 2014
Changhe Yuan, Heejin Lim, Tsai-Ching Lu

* Journal Of Artificial Intelligence Research, Volume 42, pages 309-352, 2011 

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Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks


Sep 26, 2013
Brandon Malone, Changhe Yuan

* Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013) 

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Solving Limited-Memory Influence Diagrams Using Branch-and-Bound Search


Sep 26, 2013
Arindam Khaled, Eric A. Hansen, Changhe Yuan

* Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013) 

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An Importance Sampling Algorithm Based on Evidence Pre-propagation


Oct 19, 2012
Changhe Yuan, Marek J. Druzdzel

* Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003) 

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An Improved Admissible Heuristic for Learning Optimal Bayesian Networks


Oct 16, 2012
Changhe Yuan, Brandon Malone

* Appears in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI2012) 

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Annealed MAP


Jul 11, 2012
Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel

* Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004) 

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Importance Sampling in Bayesian Networks: An Influence-Based Approximation Strategy for Importance Functions


Jul 04, 2012
Changhe Yuan, Marek J. Druzdzel

* Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005) 

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Most Relevant Explanation: Properties, Algorithms, and Evaluations


May 09, 2012
Changhe Yuan, Xiaolu Liu, Tsai-Ching Lu, Heejin Lim

* Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI2009) 

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Solving Multistage Influence Diagrams using Branch-and-Bound Search


Mar 15, 2012
Changhe Yuan, Xiaojian Wu, Eric A. Hansen

* Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010) 

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Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search


Feb 14, 2012
Brandon Malone, Changhe Yuan, Eric A. Hansen, Susan Bridges


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