Books Edited

Kobti, Ziad; Wu, Dan, Advances in Artificial Intelligence, 20th Conference of the Canadian Society for Computational

Studies of Intelligence, 4509, Springer, 2007, Published, May.

 

Articles in Refereed Journals

Wu, Dan, Maximal Prime Subgraph Decomposition of Bayesian Networks: A Relational Database Perspective,

International Journal of Approximate Reasoning, 2006, In Press, November.

 

Wu, Dan; Wong, Michael, Global Propagation in Bayesian Networks vs Semijoin Programs in Relational Databases,

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 13, 539-560, 2005, Published.

 

Wu, Dan; Wong, S.K.M, The Marginal Factorization of Bayesian Networks and Its Application, International Journal of

Intelligent Systems, Volume 19, 769-786, 2004, Published, August.

 

Wong, SKM, Butz, CJ, Wu, Dan, On the Implication Problem for Probabilistic Conditional Independency, IEEE

Transactions on Systems, Man, and Cybernetics, Part A, 30, 785-805, 2000, Published, November.

 

Edited Journals

Wu, Dan; Neufeld, Eric (guest editors), International Journal of Approximate Reasoning, 2006, In Progress.

Kern-Isberner, Gabriele; Wu, Dan (guest editors), International Journal of Approximate Reasoning, 2005, Published.

Articles in Refereed Conference Proceedings

Wu, Dan, Lossless Decomposition of Bayesian Networks, Proceedings of the 20th International Florida Artificial

Intelligence Research Symposium Conference, 164-169, 2007, Published, Editor(s) - David C. Wilson and Geoffrey C. J.

Sutcliffe, AAAI Press.

 

Wu, Dan, Critical Remarks on Belief Updating in Bayesian Networks, The IASTED International Conference on

Computational Intelligence (CI 2007), 168-174, 2007, Published, Editor(s) - R. Andonie, July, ACTA Press.

 

Wu, Dan and Wu, Libing, Hierarchical Junction Tree as The Secondary Structure for Inference in Bayesian Networks,

Proceedings of 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and

Parallel/Distributed Computing, 706-712, 2007, Published, Editor(s) - Wenying Feng and Feng Gao, July, IEEE CS

Society.

 

Wu, Dan and He, Liu, Path Propagation for Inference in Bayesian Networks, Proceedings of the 20th Canadian

Conference on Artificial Intelligence, 381-392, 2007, Published, Editor(s) - Z. Kobit, D. Wu, May, Springer, The 20th

Canadian Conference on Artificial Intelligence.

 

Wu, Dan; Jin Karen, Demystify the Messages in the Hugin Architecture for Probabilistic Inference and Its Application,

Proceedings of the 19th International Florida Artificial Intelligence Research Symposium Conference, 55-61, 2006,

Published.

 

Wu, Dan; Wang, Mingan, Triangulation of Bayesian Networks as a Constraint Satisfaction Problem, Proceedings of 2006

International Conference on Artificial Intelligence, 703-706, 2006, Published.

 

Xing, Zhengzheng; Wu, Dan, Modeling Multiple Time Units Delayed Gene Regulatory Network Using Dynamic Bayesian

Network, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 190-195, 2006, Published,

Editor(s) - Shusaku Tsumoto, Hong Kong, P.R. China, December, IEEE Computer Society, Sixth IEEE International

Conference on Data Mining.

 

Wu, Dan, An Improved Lower Bound on Identifying Compelled Edges in a DAG, the IASTED International Conference on

Computational Intelligence (CI 2006), 411-415, 2006, Published, November, ACTA Press.

 

Wu, Dan; Butz, C.J., On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks, Proceedings

of the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 581-590, 2005,

Published, Editor(s) - Slezak, Dominik et al., LNAI 3641, September, Springer, RSFDGrC 2005.

 

Wu, Dan; Wong. S.K.M., Maximal Prime Subgraph Decomposition of Bayesian Networks: A Relational Database

Perspective, Proceedings of the 18th International Florida Artificial Intelligence Research Symposium Conference,

793-798, 2005, Published, May, AAAI Press, FLAIRS 2005 Conference.

 

Wu, Dan, On-Demand Thrifty Propagation for Belief Updating in Bayesian Networks - A Preliminary Report, Proceedings

of the 18th International Florida Artificial Intelligence Research Symposium Conference, 862-863, 2005, Published, May,

AAAI Press, FLAIRS 2005.

 

Wu, Dan and Wong, SKM, Local Propagation in Bayesian networks Versus Semi-Join Program in Databases,

proceedings of the Seventeenth International Florida Artificial Intelligence Research Symposium Conference, 868-873,

2004, Published, AAAI Press, FLAIRS 2004, Starting from 2004, the conference organizer will not publish paper-based

proceedings. Instead, all the accepted papers will be on CDs..

 

Wong, SKM and Wu, Dan, A Simple Method for Identifying Compelled Edges in DAGs, proceedings of the Sixteenth

International Florida Artificial Intelligence Research Symposium Conference, 516-520, 2003, Published, AAAI Press,

FLAIRS 2003, This paper was nominated for the best paper award.

 

Wong, SKM, Wu, Dan and Yao, Y.Y, Critical Remarks on the Computational Complexity in Probabilistic Inference, Lecture

Notes in Computer Science, 2639/2003, 676-681, 2003, Published, Springer-Verlag Heidelberg, the 9th International

Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing.

 

Butz, CJ, Wong, SKM and Wu, Dan, A New Inference Axiom for Probabilistic Conditional Independence, Lecture Notes in

Computer Science, Volume 2671 / 2003, 568-574, 2003, Published, the Sixteenth Canadian Conference on Artificial

Intelligence, Halifax, Canada, 2003.

 

Wong, SKM and Wu, Dan, Probabilistic Inference in Bayesian networks: A Relational Databases Perspective, Lecture

Notes in Computer Science, Volume 2671/2003, 583-590, 2003, Published, the Sixteenth Canadian Conference on

Artificial Intelligence, Halifax, Canada, 2003.

Last Modified: 2007/09/12 8 of 13

 

Wong, SKM, Lin, Tao and Wu, Dan, Construction of a Bayesian DAG from Conditional Independencies, electronic

Proceedings of the 7th Int'l Symposium on Artificial Intelligence and Mathematics, 2002, Published, http://

rutcor.rutgers.edu/~amai/aimath02/.

 

Wong, SKM, Lin, Tao, and Wu, Dan, Construction of a Non-redundant Cover for Conditional Independencies, Lecture

Notes in Artificial Intelligence, LNAI 2338, 210-221, 2002, Published, the Fifteenth Canadian Conference on Artificial

Intelligence, Calgary, Canada, 2002.

 

Wong, S.K.Michael, Wu, Dan, Identifying Compelled Edges in a DAG - A Constraint Satisfaction Problem, Proceedings of

the International Conference on Artificial Intelligence, IC-AI '02, Volume 3., 993-1000, 2002, Published, CSREA Press

2002.

 

Wong, SKM and Wu, Dan, Triangulation of Bayesian Networks: a Relational Database Perspective, Lecture Notes in

Computer Science, Volume 2475 / 2002, 389-396, 2002, Published, Springer-Verlag Heidelberg, the 3rd International

Conference on Rough Sets and Current Trends in Computing (RSCTC?02).

 

Wong, SKM and Wu, Dan, An Algebraic Characterization of Equivalent Bayesian networks, Intelligent Information

Processing, 177-189, 2002, Published, Kluwer Academic Publishers, IFIP 2002 World Computer Congress.

 

Wong, SKM and Wu, Dan, A Structural Characterization of DAG-Isomorphic Dependency Models, Lecture Notes in

Artificial Intelligence, LNAI 2338, 195-210, 2002, Published, the Fifteenth Canadian Conference on Artificial Intelligence,

Calgary, Canada, 2002.

 

Wong, SKM and Wu, Dan, Automated Mining of Granular Database Scheme, Proceedings of the 2002 IEEE

International Conference on Fuzzy Systems, 690-694, 2002, Published.

 

Wong, SKM, Butz, CJ and Wu, Dan, On Undirected Representations of Bayesian Networks, ACM SIGIR Workshop on

Mathematical/Formal Models in Information Retrieval (MF/IR), 52-59, 2001, Published.

 

Articles in Non Refereed Conference Proceedings

Wong, SKM and Wu, Dan, A Common Framework For Rough Sets, Databases, and Bayesian Networks, Lecture Notes

in Computer Science, Volume 2639/2003, 99-103, 2003, Published, Springer-Verlag Heidelberg, the 9th International

Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2003, Invited Talk..