| Probabilistic Reasoning in Multiagent Systems: A graphical models approach Y Xiang Cambridge University Press, 2002 | 313 | 2002 |
| Multiply sectioned Bayesian networks and junction forests for large knowledge based systems Y Xiang, D Poole, M Beddoes Computational Intelligence 9 (2), 171-220, 1993 | 182 | 1993 |
| A Probabilistic Framework for Cooperative Multi-agent Distributed Interpretation and Optimization of Communication Y Xiang Artificial Intelligence 87 (1-2), 295-342, 1996 | 130 | 1996 |
| A `Microscopic' study of minimum entropy search in learning decomposable Markov networks Y Xiang, SKM Wong, N Cercone Machine Learning 26 (1), 65-92, 1997 | 87 | 1997 |
| Multiply sectioned Bayesian networks for neuromuscular diagnosis Y Xiang, B Pant, A Eisen, M Beddoes, D Poole Artificial Intelligence in Medicine 5, 293-314, 1993 | 84 | 1993 |
| Critical Remarks on Single Link Search in Learning Belief Networks Y Xiang, SKM Wong, N Cercone Proc. 12th Conf. on Uncertainty in Artificial Intelligence, 564-571, 1996 | 66* | 1996 |
| A method for implementing a probabilistic model as a relational database SKM Wong, C Butz, Y Xiang Proc. 11th Conf. on Uncertainty in Artificial Intelligence, 556-564, 1995 | 66* | 1995 |
| Justifying multiply sectioned Bayesian networks Y Xiang, V Lesser Proc. 6th Inter. Conf. on Multi-agent Systems, 349-356, 2000 | 55 | 2000 |
| Answer selection in community question answering via attentive neural networks Y Xiang, Q Chen, X Wang, Y Qin IEEE Signal Processing Letters 24 (4), 505-509, 2017 | 53 | 2017 |
| Modeling causal reinforcement and undermining for efficient CPT elicitation Y Xiang, N Jia IEEE Transactions on Knowledge and Data Engineering 19 (12), 1708-1718, 2007 | 47 | 2007 |
| Construction of a Markov Network from Data for Probabilistic Inference SKM Wong, Y Xiang Proc. 3rd Inter. Workshop on Rough Sets and Soft Computing, 562-569, 1994 | 46 | 1994 |
| Belief updating in multiply sectioned Bayesian networks without repeated local propagations Y Xiang International Journal of Approximate Reasoning 23, 1-21, 2000 | 45 | 2000 |
| Identifying dynamic network modules with temporal and spatial constraints R Jin, S McCallen, CC Liu, Y Xiang, E Almaas, XJ Zhou Biocomputing 2009, 203-214, 2009 | 42 | 2009 |
| On the Role of Multiply Sectioned Bayesian Networks to Cooperative Multiagent Systems Y Xiang, V Lesser IEEE Trans. Systems, Man, and Cybernetics-Part A 33 (4), 489-501, 2003 | 41 | 2003 |
| Inference in multiply sectioned Bayesian networks with extended Shafer-Shenoy and lazy propagation Y Xiang, F Jensen Proc. 15th Conf. on Uncertainty in Artificial Intelligence, 680-687, 1999 | 38* | 1999 |
| Acquisition of causal models for local distributions in Bayesian networks Y Xiang, M Truong IEEE transactions on cybernetics 44 (9), 1591-1604, 2013 | 35 | 2013 |
| Inference in Multiply Sectioned Bayesian Networks: Methods and Performance Comparison Y Xiang, FV Jensen, X Chen IEEE Trans. Systems, Man, and Cybernetics, Part B 36 (3), 546-558, 2005 | 35 | 2005 |
| Non-impeding Noisy-AND Tree Causal Models Over Multi-valued Variables Y Xiang International Journal of Approximate Reasoning 53, 988-1002, 2012 | 32 | 2012 |
| Verification of DAG structures in cooperative belief network based multi-agent systems Y Xiang Networks 31, 183-191, 1998 | 30 | 1998 |
| Dispersion-managed soliton molecules in a near zero-dispersion fiber laser Y Luo, Y Xiang, B Liu, Y Qin, Q Sun, X Tang, PP Shum IEEE Photonics Journal 10 (6), 1-10, 2018 | 29 | 2018 |
David PooleProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
