default search action
Yang 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 — 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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-06 21:35 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint