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ORCIDYang Xiang 0004
Person information
- affiliation: University of Guelph, School of Computer Science, Canada
- affiliation (former): University of Massachusetts, Amherst, MA, USA
- affiliation (former): Aalborg University, Denmark
- affiliation (former): University of Regina, Department of Computer Science, SK, Canada
- affiliation (former): Simon Fraser University, Burnaby, BC, Canada
- affiliation (PhD 1992): University of British Columbia, Vancouver, BC, Canada
Other persons with the same name
- Yang Xiang — disambiguation page
- Yang Xiang 0001
![[0000-0001-5252-0831]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5252-0831")
— Swinburne University of Technology, School of Software and Electrical Engineering, Hawthorn, VIC, Australia (and 4 more) - Yang Xiang 0002 — Hong Kong University of Science and Technology, Department of Mathematics, Hong Kong
- Yang Xiang 0003 — Pengcheng Laboratory, Shenzhen, China (and 1 more)
- Yang Xiang 0005 — Tongji University, State Key Laboratory of Marine Geology, Shanghai, China
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2020 – today
- 2022
[j27]Yang Xiang, Dylan Loker:
Trans-Causalizing NAT-Modeled Bayesian Networks. IEEE Trans. Cybern. 52(5): 3553-3566 (2022)- 2021
- [j26]Yang Xiang, Qian Wang:
Learning tractable NAT-modeled Bayesian networks. Ann. Math. Artif. Intell. 89(10-11): 1053-1073 (2021) - [c32]Yang Xiang, Abdulrahman Alshememry:
Constructing Junction Tree Agent Organization with Privacy. AAMAS 2021: 1746-1748 - 2020
- [j25]Yang Xiang, Abdulrahman Alshememry:
Privacy sensitive environment re-decomposition for junction tree agent organization construction. Auton. Agents Multi Agent Syst. 34(1): 15 (2020)
2010 – 2019
- 2019
- [j24]Yang Xiang:
Direct causal structure extraction from pairwise interaction patterns in NAT modeling Bayesian networks. Int. J. Approx. Reason. 105: 175-193 (2019) - 2018
- [j23]Yang Xiang, Qian Jiang:
NAT model-based compression of Bayesian network CPTs over multivalued variables. Comput. Intell. 34(1): 219-240 (2018) - [c31]Yang Xiang, Benjamin Baird:
Compressing Bayesian Networks: Swarm-Based Descent, Efficiency, and Posterior Accuracy. Canadian AI 2018: 3-16 - [c30]Yang Xiang, Dylan Loker:
De-Causalizing NAT-Modeled Bayesian Networks for Inference Efficiency. Canadian AI 2018: 17-30 - [c29]Yang Xiang, Abdulrahman Alshememry:
Privacy Sensitive Construction of Junction Tree Agent Organization for Multiagent Graphical Models. PGM 2018: 523-534 - 2017
- [j22]Yang Xiang, Yiting Jin:
Efficient probabilistic inference in Bayesian networks with multi-valued NIN-AND tree local models. Int. J. Approx. Reason. 87: 67-89 (2017) - [c28]Yang Xiang:
Extraction of NAT Causal Structures Based on Bipartition. FLAIRS 2017: 754-759 - [c27]Yang Xiang:
Fault Tolerant Direct NAT Structure Extraction from Pairwise Causal Interaction Patterns. SUM 2017: 134-148 - 2016
- [j21]Yang Xiang, Kamala Srinivasan:
Privacy preserving existence recognition and construction of hypertree agent organization. Auton. Agents Multi Agent Syst. 30(2): 220-258 (2016) - [c26]Yang Xiang, Qian Jiang:
Compression of General Bayesian Net CPTs. Canadian AI 2016: 285-297 - [c25]Yang Xiang, Yiting Jin:
Multiplicative Factorization of Multi-Valued NIN-AND Tree Models. FLAIRS 2016: 680-685 - [c24]Yang Xiang, Qian Jiang:
Compressing Bayes Net CPTs with Persistent Leaky Causes. Probabilistic Graphical Models 2016: 535-546 - 2015
- [j20]Yang Xiang, Frank Hanshar:
Multiagent Decision Making in Collaborative Decision Networks by Utility Cluster Based Partial Evaluation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(2): 149-192 (2015) - 2014
- [j19]Yang Xiang, Mohamed Younis, Wanling Zhang:
Distributed constraint satisfaction with multiply sectioned constraint networks. Int. J. Inf. Decis. Sci. 6(2): 127-152 (2014) - 2013
- [c23]Yang Xiang, Kamala Srinivasan:
Boundary Set Based Existence Recognition and Construction of Hypertree Agent Organization. Canadian AI 2013: 187-198 - [c22]Yang Xiang, Kamala Srinivasan:
Construction of Privacy Preserving Hypertree Agent Organization as Distributed Maximum Spanning Tree. Canadian AI 2013: 199-210 - [i4]Tongsheng Chu, Yang Xiang:
Exploring Parallelism in Learning Belief Networks. CoRR abs/1302.1529 (2013) - [i3]Yang Xiang:
Optimization of Inter-Subnet Belief Updating in Multiply Sectioned Bayesian Networks. CoRR abs/1302.4991 (2013) - [i2]Yang Xiang, David L. Poole, Michael P. Beddoes:
Exploring Localization in Bayesian Networks for Large Expert Systems. CoRR abs/1303.5438 (2013) - [i1]Yang Xiang, Michael P. Beddoes, David L. Poole:
Can Uncertainty Management be Realized in a Finite Totally Ordered Probability Algebra? CoRR abs/1304.1535 (2013) - 2012
- [j18]Yang Xiang:
Non-impeding noisy-AND tree causal models over multi-valued variables. Int. J. Approx. Reason. 53(7): 988-1002 (2012) - [c21]Yang Xiang, Franklin Hanshar:
Multiagent Decision by Partial Evaluation. Canadian AI 2012: 242-254 - 2011
- [j17]Yang Xiang, James Smith, Jeff Kroes:
Multiagent bayesian forecasting of structural time-invariant dynamic systems with graphical models. Int. J. Approx. Reason. 52(7): 960-977 (2011) - [j16]Yang Xiang, Franklin Hanshar:
Multiagent Expedition with Graphical Models. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 19(6): 939-976 (2011) - [c20]Yang Xiang, Franklin Hanshar:
Partial Evaluation for Planning in Multiagent Expedition. Canadian AI 2011: 420-432 - 2010
- [j15]Yang Xiang:
A. Darwiche, Modeling and Reasoning with Bayesian Networks , Cambridge (2009). Artif. Intell. 174(2): 147-151 (2010) - [j14]Yang Xiang, Franklin Hanshar:
Comparison of tightly and loosely coupled decision paradigms in multiagent expedition. Int. J. Approx. Reason. 51(5): 600-613 (2010) - [j13]Yang Xiang, Kevin Grant:
Preface: Special Issue on Uncertain Reasoning. J. Autom. Reason. 45(1): 1-2 (2010) - [c19]Yang Xiang:
Generalized Non-impeding Noisy-AND Trees. FLAIRS 2010
2000 – 2009
- 2009
- [c18]Yang Xiang, James Smith, Jeff Kroes:
Multiagent Bayesian Forecasting of Time Series with Graphical Models. FLAIRS 2009 - [r1]Yang Xiang:
Pseudo-Independent Models and Decision Theoretic Knowledge Discovery. Encyclopedia of Data Warehousing and Mining 2009: 1632-1638 - 2008
- [c17]Yang Xiang, Wanling Zhang:
Distributed University Timetabling with Multiply Sectioned Constraint Networks. FLAIRS 2008: 567-571 - [p2]Yang Xiang:
Building Intelligent Sensor Networks with Multiagent Graphical Models. Intelligent Decision Making: An AI-Based Approach 2008: 289-320 - 2007
- [c16]Yang Xiang, Wanling Zhang:
Multiagent Constraint Satisfaction with Multiply Sectioned Constraint Networks. Canadian AI 2007: 228-240 - [c15]Yang Xiang, Franklin Hanshar:
Planning in Multiagent Expedition with Collaborative Design Networks. Canadian AI 2007: 526-538 - [c14]Yang Xiang:
A Decision Theoretic View on Choosing Heuristics for Discovery of Graphical Models. FLAIRS 2007: 170-175 - [c13]Yang Xiang:
Tractable Optimal Multiagent Collaborative Design. IAT 2007: 257-260 - 2006
- [j12]Yang Xiang, Michael Janzen:
A computational framework for package planning. Int. J. Knowl. Based Intell. Eng. Syst. 10(2): 93-104 (2006) - 2004
- [c12]Yang Xiang, Junjiang Chen, Abhi Deshmukht:
A Decision-Theoretic Graphical Model for Collaborative Design on Supply Chains. Canadian AI 2004: 355-369 - [c11]Yang Xiang, Michael Janzen:
Package Planning with Graphical Models. FLAIRS 2004: 874-879 - 2003
- [j11]Yang Xiang, Victor R. Lesser:
A Constructive Graphical Model Approach for Knowledge-Based Systems: A Vehicle Monitoring Case Study. Comput. Intell. 19(3): 284-309 (2003) - [j10]Yang Xiang:
Comparison of multiagent inference methods in multiply sectioned Bayesian networks. Int. J. Approx. Reason. 33(3): 235-254 (2003) - [j9]Yang Xiang, Victor R. Lesser:
On the role of multiply sectioned Bayesian networks to cooperative multiagent systems. IEEE Trans. Syst. Man Cybern. Part A 33(4): 489-501 (2003) - [c10]Michael Janzen, Yang Xiang:
Probabilistic Reasoning for Meal Planning in Intelligent Fridges. AI 2003: 575-582 - [e1]Yang Xiang, Brahim Chaib-draa:
Advances in Artificial Intelligence, 16th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2003, Halifax, Canada, June 11-13, 2003, Proceedings. Lecture Notes in Computer Science 2671, Springer 2003, ISBN 3-540-40300-0 [contents] - 2002
- [j8]Eugene Santos, Yang Xiang:
Editorial advances on uncertain reasoning in intelligent systems. IEEE Trans. Syst. Man Cybern. Part B 32(1): 2-3 (2002) - [c9]Yang Xiang, Chenwen Ye:
Deborah Ann Stacey, Application of Bayesian Networks to Shopping Assistance. AI 2002: 344-348 - 2001
- [j7]Yang Xiang:
Cooperative triangulation in MSBNs without revealing subnet structures. Networks 37(1): 53-65 (2001) - [c8]Yang Xiang, J. Lee:
Local Score Computation in Learning Belief Networks. AI 2001: 152-161 - 2000
- [j6]Yang Xiang:
Belief updating in multiply sectioned Bayesian networks without repeated local propagations. Int. J. Approx. Reason. 23(1): 1-21 (2000) - [c7]Yang Xiang, Victor R. Lesser:
Justifying Multiply Sectioned Bayesian Networks. ICMAS 2000: 349-358
1990 – 1999
- 1999
- [j5]Yang Xiang, Tongsheng Chu:
Parallel Learning of Belief Networks in Large and Difficult Domains. Data Min. Knowl. Discov. 3(3): 315-339 (1999) - [p1]Yang Xiang:
Temporally Invariant Junction Tree for Interference in Dynamic Bayesian Network. Artificial Intelligence Today 1999: 473-488 - 1998
- [j4]Yang Xiang:
Verification of DAG structures in cooperative belief network-based multiagent systems. Networks 31(3): 183-191 (1998) - [c6]Yang Xiang:
Temporally Invariant Junction Tree for Inference in Dynamic Bayesian Network. Canadian AI 1998: 363-377 - 1997
- [c5]Tongsheng Chu, Yang Xiang:
Exploring Parallelism in Learning Belief Networks. UAI 1997: 90-98 - 1996
- [j3]Yang Xiang:
A Probabilistic Framework for Cooperative Multi-Agent Distributed Interpretation and Optimization of Communication. Artif. Intell. 87(1-2): 295-342 (1996) - [c4]Yang Xiang:
Semantics of Multiply Selectioned Bayesian Networks for Cooperative Multi-agent Distributed Interpretation. AI 1996: 213-226 - 1995
- [c3]Yang Xiang:
Optimization of Inter-Subnet Belief Updating in Multiply Sectioned Bayesian Networks. UAI 1995: 565-573 - 1993
- [j2]Yang Xiang, B. Pant, Andrew Eisen, Michael P. Beddoes, David Poole:
Multiply sectioned Bayesian networks for neuromuscular diagnosis. Artif. Intell. Medicine 5(4): 293-314 (1993) - [j1]Yang Xiang, David Poole, Michael P. Beddoes:
Multiply Sectioned Bayesian Networks and Junction Forests for Large Knowledge-Based Systems. Comput. Intell. 9: 171-220 (1993) - 1992
- [c2]Yang Xiang, David Poole, Michael P. Beddoes:
Exploring Localization in Bayesian Networks for Large Expert Systems. UAI 1992: 344-351
1980 – 1989
- 1989
- [c1]Yang Xiang, Michael P. Beddoes, David Poole:
Can Uncertainty Management be Realized in a Finite Totally Ordered Probability Algebra? UAI 1989: 41-60
Coauthor Index
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