A formal model of diagnostic inference, II. Algorithmic solution and application. - James A. Reggia; Dana S. Nau; Pearl Y. Wang; Yun Peng 001 (Inf. Sci., 1985)

Plausibility of Diagnostic Hypotheses: The Nature of Simplicity. - Yun Peng 001; James A. Reggia (AAAI, 1986)

Diagnostic problem-solving with causal chaining. - Yun Peng 001; James A. Reggia (Int. J. Intell. Syst., 1987)

A Probabilistic Causal Model for Diagnostic Problem Solving Part I: Integrating Symbolic Causal Inference with Numeric Probabilistic Inference. - Yun Peng 001; James A. Reggia (IEEE Trans. Syst. Man Cybern., 1987)

A Probabilistic Causal Model for Diagnostic Problem Solving Part II: Diagnostic Strategy. - Yun Peng 001; James A. Reggia (IEEE Trans. Syst. Man Cybern., 1987)

A comfort measure for diagnostic problem solving. - Yun Peng 001; James A. Reggia (Inf. Sci., 1989)

A connectionist model for diagnostic problem solving. - Yun Peng 001; James A. Reggia (IEEE Trans. Syst. Man Cybern., 1989)

Design and Analysis of Competition-Based Neural Networks. - Tao Li; Yun Peng 001 (Complex Syst., 1991)

A Connectionist Approach to Vertex Covering Problems. - Yun Peng 001; James A. Reggia; Tao Li (Int. J. Neural Syst., 1992)

Minimizing Complexity in Cellular Automata Models of Self-Replication. - James A. Reggia; Hui-Hsien Chou; Steven L. Armentrout; Yun Peng 001 (ISMB, 1993)

A connectionist approach to diagnostic problem solving using causal networks. - James A. Reggia; Yun Peng 001; Stanley Tuhrim (Inf. Sci., 1993)

Local conditions for phase transitions in neural networks with variable connection strengths. - Frank E. McFadden; Yun Peng 001; James A. Reggia (Neural Networks, 1993)

High-specificity neurological localization using a connectionist model. - Stanley Tuhrim; James A. Reggia; Yun Peng 001 (Artif. Intell. Medicine, 1994)

Relaxing backpropagation networks as associative memories. - Yun Peng 001; Zonglin Zhou; Erik McClenney (ICNN, 1995)

A neural network learning method for belief networks. - Yun Peng 001; Zonglin Zhou (Int. J. Intell. Syst., 1996)

A Multi-Agent System for Enterprise Integration. - Yun Peng 001; Tim Finin; Yannis Labrou; Bei-tseng Chu; Junsheng Long; William J. Tolone; Akram Boughannam (PAAM, 1998)

Computational Models for the Formation of Protocell Structures. - Linglan Edwards; Yun Peng 001; James A. Reggia (Artif. Life, 1998)

Mobile agents can benefit from standards efforts on interagent communication. - Timothy W. Finin; Yannis Labrou; Yun Peng 001 (IEEE Commun. Mag., 1998)

Agent Development with Jackal. - R. Scott Cost; Timothy W. Finin; Yannis Labrou; Xiaocheng Luan; Yun Peng 001; Ian Soboroff; James Mayfield; Akram Boughannam (Agents, 1999)

The Interoperability Problem: Bringing together Mobile Agents and Agent Communication Languages. - Yannis Labrou; Timothy W. Finin; Yun Peng 001 (HICSS, 1999)

A neural network approach to MAP in belief networks. - Yun Peng 001; Miao Jin; Kaihua Chen (IJCNN, 1999)

An Agent-Based Infrastructure for Enterprise Integration. - R. Scott Cost; Timothy W. Finin; Yannis Labrou; Xiaocheng Luan; Yun Peng 001; Ian Soboroff; James Mayfield; Akram Boughannam (ASA/MA, 1999)

Agent-Based Approach for Manufacturing Integration: The Ciimplex Experience. - Yun Peng 001; Timothy W. Finin; Yannis Labrou; R. Scott Cost; Bei-tseng Chu; Junsheng Long; William J. Tolone; Akram Boughannam (Appl. Artif. Intell., 1999)

Agent communication languages: the current landscape. - Yannis Labrou; Tim Finin; Yun Peng 001 (IEEE Intell. Syst., 1999)

Constructing belief networks from realistic data. - Yun Peng 001; Zonglin Zhou; Sungzoon Cho (Int. J. Intell. Syst., 1999)

Using Colored Petri Nets for Conversation Modeling. - R. Scott Cost; Ye Chen; Timothy W. Finin; Yannis Labrou; Yun Peng 001 (Issues in Agent Communication, 2000)

Modeling Agent Systems by Bayesian Belief Networks. - Yun Peng 001 (FAABS, 2000)

Multi-Agent Systems, Internet and Applications - Introduction. - Timothy W. Finin; Anupam Joshi; Yannis Labrou; Yun Peng 001 (HICSS, 2000)

B2B E-Commerce Infrastructure Using Agents and Standards - A Potential Impact Analysis and Architecture. - Nenad Ivezic; Elizabeth Fong; Yun Peng 001; Thomas Rhodes (DIISM, 2000)

A Mean Field Approach to MAP in Belief Networks. - Yun Peng 001; Miao Jin (IJCNN (5), 2000)

ITTALKS: An Application of Agents in the Semantic Web. - Filip Perich; Lalana Kagal; Harry Chen 001; Sovrin Tolia; Youyong Zou; Timothy W. Finin; Anupam Joshi; Yun Peng 001; R. Scott Cost; Charles K. Nicholas (ESAW, 2001)

ITTALKS: A Case Study in the Semantic Web and DAML. - R. Scott Cost; Timothy W. Finin; Anupam Joshi; Yun Peng 001; Charles K. Nicholas; Harry Chen 001; Lalana Kagal; Filip Perich; Youyong Zou; Sovrin Tolia (SWWS, 2001)

Ontologies as a New Cost Factor in Enterprise Integration. - H. Ted Goranson; Bei-tseng Chu; Michael Grüninger; Nenad Ivezic; Boonserm Kulvatunyou; Yannis Labrou; Ryusuke Masuoka; Yun Peng 001; Amit P. Sheth; David N. Shorter (ICEIMT, 2002)

An Extended Bayesian Belief Network Model of Multi-agent Systems for Supply Chain Managements. - Ye Chen; Yun Peng 001 (WRAC, 2002)

Agents Making Sense of the Semantic Web. - Lalana Kagal; Filip Perich; Harry Chen 001; Sovrin Tolia; Youyong Zou; Timothy W. Finin; Anupam Joshi; Yun Peng 001; R. Scott Cost; Charles K. Nicholas (WRAC, 2002)

Learning in the Broker Agent. - Xiaocheng Luan; Yun Peng 001; Timothy W. Finin (WRAC, 2002)

Semantic Resolution for E-commerce. - Yun Peng 001; Youyong Zou; Xiaocheng Luan; Nenad Ivezic; Michael Grüninger; Albert T. Jones (WRAC, 2002)

Agent Communication in DAML World. - Youyong Zou; Timothy W. Finin; Yun Peng 001; Anupam Joshi; R. Scott Cost (WRAC, 2002)

ITtalks: A Case Study in the Semantic Web and DAML+OIL. - R. Scott Cost; Timothy W. Finin; Anupam Joshi; Yun Peng 001; Charles K. Nicholas; Ian Soboroff; Harry Chen 001; Lalana Kagal; Filip Perich; Youyong Zou; Sovrin Tolia (IEEE Intell. Syst., 2002)

A Neural Network Approach to Approximating Map in Belief Networks. - Yun Peng 001; Miao Jin (Int. J. Neural Syst., 2002)

Swoogle: a search and metadata engine for the semantic web. - Li Ding 001; Timothy W. Finin; Anupam Joshi; Rong Pan; R. Scott Cost; Yun Peng 001; Pavan Reddivari; Vishal Doshi; Joel Sachs (CIKM, 2004)

A Probabilistic Extension to Ontology Language OWL. - Zhongli Ding; Yun Peng 001 (HICSS, 2004)

Quantitative Agent Service Matching. - Xiaocheng Luan; Yun Peng 001; Timothy W. Finin (Web Intelligence, 2004)

Swoogle: Searching for Knowledge on the Semantic Web. - Timothy W. Finin; Li Ding 001; Rong Pan; Anupam Joshi; Pranam Kolari; Akshay Java; Yun Peng 001 (AAAI, 2005)

A Framework for Bayesian Network Mapping. - Rong Pan; Yun Peng 001 (AAAI, 2005)

On Homeland Security and the Semantic Web: A Provenance and Trust Aware Inference Framework. - Li Ding 001; Pranam Kolari; Tim Finin; Anupam Joshi; Yun Peng 001; Yelena Yesha (AAAI Spring Symposium: AI Technologies for Homeland Security, 2005)

Finding and Ranking Knowledge on the Semantic Web. - Li Ding 001; Rong Pan; Timothy W. Finin; Anupam Joshi; Yun Peng 001; Pranam Kolari (ISWC, 2005)

A Bayesian Network Approach to Ontology Mapping. - Rong Pan; Zhongli Ding; Yang Yu; Yun Peng 001 (ISWC, 2005)

Modifying Bayesian Networks by Probability Constraints. - Yun Peng 001; Zhongli Ding (UAI, 2005)

Search on the Semantic Web. - Li Ding 001; Timothy W. Finin; Anupam Joshi; Yun Peng 001; Rong Pan; Pavan Reddivari (Computer, 2005)

Belief Update in Bayesian Networks Using Uncertain Evidence. - Rong Pan; Yun Peng 001; Zhongli Ding (ICTAI, 2006)

Learning the Semantic Meaning of a Concept from the Web. - Yang Yu; Yun Peng 001 (Canadian AI, 2007)

An Efficient Method for Probabilistic Knowledge Integration. - Shenyong Zhang; Yun Peng 001; Xiaopu Wang (ICTAI (2), 2008)

A layered approach to semantic similarity analysis of XML schemas. - Jaewook Kim; Yun Peng 001; Boonserm Kulvatunyou; Nenad Ivezic; Albert T. Jones (IRI, 2008)

BayesOWL: A Prototype System for Uncertainty in Semantic Web. - Shenyong Zhang; Yi Sun; Yun Peng 001; Xiaopu Wang (IC-AI, 2009)

Semantic Similarity Analysis of XML Schema using Grid Computing. - Jaewook Kim; Sookyoung Lee; Milton Halem; Yun Peng 001 (IRI, 2009)

Integrating Probability Constraints into Bayesian Nets. - Yun Peng 001; Shenyong Zhang (ECAI, 2010)

Bayesian Network Reasoning with Uncertain Evidences. - Yun Peng 001; Shenyong Zhang; Rong Pan (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2010)

Extensible Dynamic Form approach for supplier discovery. - Yan Kang; Jaewook Kim; Yun Peng 001 (IRI, 2011)

Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE Training Method. - James Ting-Ho Lo; Yichuan Gui; Yun Peng 001 (ISNN (1), 2012)

Bayesian Network Revision with Probabilistic Constraints. - Yun Peng 001; Zhongli Ding; Shenyong Zhang; Rong Pan (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012)

A Framework for Developing Manufacturing Service Capability Information Model. - Yunsu Lee; Yun Peng 001 (APMS (1), 2013)

Ontology-Based Dynamic Forms for Manufacturing Capability Information Collection. - Yun Peng 001; Yan Kang (APMS, 2013)

Overcoming the local-minimum problem in training multilayer perceptrons by gradual deconvexification. - James Ting-Ho Lo; Yichuan Gui; Yun Peng 001 (IJCNN, 2013)

Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE-MSE Training Method. - James Ting-Ho Lo; Yichuan Gui; Yun Peng 001 (ISNN (1), 2013)

A pairwise algorithm for training multilayer perceptrons with the normalized risk-averting error criterion. - Yichuan Gui; James Ting-Ho Lo; Yun Peng 001 (IJCNN, 2014)

A framework to canonicalize manufacturing service capability models. - Boonserm Kulvatunyou; Yunsu Lee; Nenad Ivezic; Yun Peng 001 (Comput. Ind. Eng., 2015)

Semantic web-based supplier discovery system for building a long-term supply chain. - Jaehun Lee; Kiwook Jung; Bo Hyun Kim; Yun Peng 001; Hyunbo Cho (Int. J. Comput. Integr. Manuf., 2015)

The normalized risk-averting error criterion for avoiding nonglobal local minima in training neural networks. - James Ting-Ho Lo; Yichuan Gui; Yun Peng 001 (Neurocomputing, 2015)

Training deep neural networks with gradual deconvexification. - James Ting-Ho Lo; Yichuan Gui; Yun Peng 001 (IJCNN, 2016)

Solving the Local-Minimum Problem in Training Deep Learning Machines. - James Ting-Ho Lo; Yichuan Gui; Yun Peng 001 (ICONIP (1), 2017)