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ORCIDYun Peng 0001
Person information
- affiliation: University of Maryland, Department of Computer Science and Electrical Engineering, Baltimore County, MD, USA
Other persons with the same name
- Yun Peng — disambiguation page
- Yun Peng 0002
![[0000-0001-6358-2333]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6358-2333")
— Guangzhou University, Guangdong Provincial Key Laboratory of Blockchain Security, China (and 1 more) - Yun Peng 0003 — Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- Yun Peng 0004 — Jiangxi Normal University, College of Computer Information Engineering, Nanchang, China
- Yun Peng 0005 — Capital Medical University, Beijing Children's Hospital, Department of Radiology, China
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2010 – 2019
- 2017
[c48]James Ting-Ho Lo, Yichuan Gui, Yun Peng:
Solving the Local-Minimum Problem in Training Deep Learning Machines. ICONIP (1) 2017: 166-174- 2016
- [c47]James Ting-Ho Lo, Yichuan Gui, Yun Peng:
Training deep neural networks with gradual deconvexification. IJCNN 2016: 1000-1007 - 2015
- [j25]Boonserm Kulvatunyou, Yunsu Lee, Nenad Ivezic, Yun Peng:
A framework to canonicalize manufacturing service capability models. Comput. Ind. Eng. 83: 39-60 (2015) - [j24]Jaehun Lee, Kiwook Jung, Bo Hyun Kim, Yun Peng, Hyunbo Cho:
Semantic web-based supplier discovery system for building a long-term supply chain. Int. J. Comput. Integr. Manuf. 28(2): 155-169 (2015) - [j23]James Ting-Ho Lo, Yichuan Gui, Yun Peng:
The normalized risk-averting error criterion for avoiding nonglobal local minima in training neural networks. Neurocomputing 149: 3-12 (2015) - 2014
- [c46]Yichuan Gui, James Ting-Ho Lo, Yun Peng:
A pairwise algorithm for training multilayer perceptrons with the normalized risk-averting error criterion. IJCNN 2014: 358-365 - 2013
- [c45]Yunsu Lee, Yun Peng:
A Framework for Developing Manufacturing Service Capability Information Model. APMS (1) 2013: 325-333 - [c44]Yun Peng, Yan Kang:
Ontology-Based Dynamic Forms for Manufacturing Capability Information Collection. APMS 2013: 468-476 - [c43]James Ting-Ho Lo, Yichuan Gui, Yun Peng:
Overcoming the local-minimum problem in training multilayer perceptrons by gradual deconvexification. IJCNN 2013: 1-6 - [c42]James Ting-Ho Lo, Yichuan Gui, Yun Peng:
Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE-MSE Training Method. ISNN (1) 2013: 83-90 - 2012
- [j22]Yun Peng, Zhongli Ding, Shenyong Zhang, Rong Pan:
Bayesian Network Revision with Probabilistic Constraints. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 20(3): 317-337 (2012) - [c41]James Ting-Ho Lo, Yichuan Gui, Yun Peng:
Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE Training Method. ISNN (1) 2012: 440-447 - [i1]Yun Peng, Zhongli Ding:
Modifying Bayesian Networks by Probability Constraints. CoRR abs/1207.1356 (2012) - 2011
- [c40]Yan Kang, Jaewook Kim, Yun Peng:
Extensible Dynamic Form approach for supplier discovery. IRI 2011: 83-87 - 2010
- [j21]Yun Peng, Shenyong Zhang, Rong Pan:
Bayesian Network Reasoning with Uncertain Evidences. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 18(5): 539-564 (2010) - [c39]Yun Peng, Shenyong Zhang:
Integrating Probability Constraints into Bayesian Nets. ECAI 2010: 981-982
2000 – 2009
- 2009
- [c38]Shenyong Zhang, Yi Sun, Yun Peng, Xiaopu Wang:
BayesOWL: A Prototype System for Uncertainty in Semantic Web. IC-AI 2009: 678-684 - [c37]Jaewook Kim, Sookyoung Lee, Milton Halem, Yun Peng:
Semantic Similarity Analysis of XML Schema using Grid Computing. IRI 2009: 57-62 - 2008
- [c36]Shenyong Zhang, Yun Peng, Xiaopu Wang:
An Efficient Method for Probabilistic Knowledge Integration. ICTAI (2) 2008: 179-182 - [c35]Jaewook Kim, Yun Peng, Boonserm Kulvatunyou, Nenad Ivezic, Albert T. Jones:
A layered approach to semantic similarity analysis of XML schemas. IRI 2008: 274-279 - [e1]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Francis Fung, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Yun Peng, Michael Pool, Pavel Smrz, Peter Vojtás:
Proceedings of the Third ISWC Workshop on Uncertainty Reasoning for the Semantic Web Busan, Korea, November 12, 2007. CEUR Workshop Proceedings 327, CEUR-WS.org 2008 [contents] - 2007
- [c34]Yang Yu, Yun Peng:
Learning the Semantic Meaning of a Concept from the Web. Canadian AI 2007: 98-109 - 2006
- [c33]Rong Pan, Yun Peng, Zhongli Ding:
Belief Update in Bayesian Networks Using Uncertain Evidence. ICTAI 2006: 441-444 - 2005
- [j20]Li Ding, Timothy W. Finin, Anupam Joshi, Yun Peng, Rong Pan, Pavan Reddivari:
Search on the Semantic Web. Computer 38(10): 62-69 (2005) - [c32]Rong Pan, Yun Peng:
A Framework for Bayesian Network Mapping. AAAI 2005: 1622-1623 - [c31]Timothy W. Finin, Li Ding, Rong Pan, Anupam Joshi, Pranam Kolari, Akshay Java, Yun Peng:
Swoogle: Searching for Knowledge on the Semantic Web. AAAI 2005: 1682-1683 - [c30]Li Ding, Pranam Kolari, Tim Finin, Anupam Joshi, Yun Peng, Yelena Yesha:
On Homeland Security and the Semantic Web: A Provenance and Trust Aware Inference Framework. AAAI Spring Symposium: AI Technologies for Homeland Security 2005: 157-160 - [c29]Li Ding, Rong Pan, Timothy W. Finin, Anupam Joshi, Yun Peng, Pranam Kolari:
Finding and Ranking Knowledge on the Semantic Web. ISWC 2005: 156-170 - [c28]Rong Pan, Zhongli Ding, Yang Yu, Yun Peng:
A Bayesian Network Approach to Ontology Mapping. ISWC 2005: 563-577 - [c27]Yun Peng, Zhongli Ding:
Modifying Bayesian Networks by Probability Constraints. UAI 2005: 459-466 - 2004
- [c26]Li Ding, Timothy W. Finin, Anupam Joshi, Rong Pan, R. Scott Cost, Yun Peng, Pavan Reddivari, Vishal Doshi, Joel Sachs:
Swoogle: a search and metadata engine for the semantic web. CIKM 2004: 652-659 - [c25]Zhongli Ding, Yun Peng:
A Probabilistic Extension to Ontology Language OWL. HICSS 2004 - [c24]Xiaocheng Luan, Yun Peng, Timothy W. Finin:
Quantitative Agent Service Matching. Web Intelligence 2004: 334-340 - 2002
- [j19]R. Scott Cost, Timothy W. Finin, Anupam Joshi, Yun Peng, Charles K. Nicholas, Ian Soboroff, Harry Chen, Lalana Kagal, Filip Perich, Youyong Zou, Sovrin Tolia:
ITtalks: A Case Study in the Semantic Web and DAML+OIL. IEEE Intell. Syst. 17(1): 40-47 (2002) - [j18]Yun Peng, Miao Jin:
A Neural Network Approach to Approximating Map in Belief Networks. Int. J. Neural Syst. 12(3-4): 271-290 (2002) - [c23]Yun Peng, Youyong Zou, Xiaocheng Luan, Nenad Ivezic, Michael Grüninger, Albert T. Jones:
Semantic resolution for e-commerce. AAMAS 2002: 1037-1038 - [c22]H. Ted Goranson, Bei-tseng Chu, Michael Grüninger, Nenad Ivezic, Boonserm Kulvatunyou, Yannis Labrou, Ryusuke Masuoka, Yun Peng, Amit P. Sheth, David N. Shorter:
Ontologies as a New Cost Factor in Enterprise Integration. ICEIMT 2002: 253-263 - [c21]Xiaocheng Luan, Yun Peng, Timothy W. Finin:
Learning in the Broker Agent. WRAC 2002: 106-124 - [c20]Ye Chen, Yun Peng:
An Extended Bayesian Belief Network Model of Multi-agent Systems for Supply Chain Managements. WRAC 2002: 335-346 - [c19]Youyong Zou, Timothy W. Finin, Yun Peng, Anupam Joshi, R. Scott Cost:
Agent Communication in DAML World. WRAC 2002: 347-354 - [c18]Yun Peng, Youyong Zou, Xiaocheng Luan, Nenad Ivezic, Michael Grüninger, Albert T. Jones:
Semantic Resolution for E-commerce. WRAC 2002: 355-366 - [c17]Lalana Kagal, Filip Perich, Harry Chen, Sovrin Tolia, Youyong Zou, Timothy W. Finin, Anupam Joshi, Yun Peng, R. Scott Cost, Charles K. Nicholas:
Agents Making Sense of the Semantic Web. WRAC 2002: 417-433 - 2001
- [c16]Filip Perich, Lalana Kagal, Harry Chen, Sovrin Tolia, Youyong Zou, Timothy W. Finin, Anupam Joshi, Yun Peng, R. Scott Cost, Charles K. Nicholas:
ITTALKS: An Application of Agents in the Semantic Web. ESAW 2001: 175-194 - [c15]R. Scott Cost, Timothy W. Finin, Anupam Joshi, Yun Peng, Charles K. Nicholas, Harry Chen, Lalana Kagal, Filip Perich, Youyong Zou, Sovrin Tolia:
ITTALKS: A Case Study in the Semantic Web and DAML. SWWS 2001: 477-494 - 2000
- [c14]R. Scott Cost, Ye Chen, Timothy W. Finin, Yannis Labrou, Yun Peng:
Using Colored Petri Nets for Conversation Modeling. Issues in Agent Communication 2000: 178-192 - [c13]Yun Peng:
Modeling Agent Systems by Bayesian Belief Networks. FAABS 2000: 321-322 - [c12]Timothy W. Finin, Anupam Joshi, Yannis Labrou, Yun Peng:
Multi-Agent Systems, Internet and Applications - Introduction. HICSS 2000 - [c11]Nenad Ivezic, Elizabeth Fong, Yun Peng, Thomas Rhodes:
B2B E-Commerce Infrastructure Using Agents and Standards - A Potential Impact Analysis and Architecture. DIISM 2000: 198-205 - [c10]Yun Peng, Miao Jin:
A Mean Field Approach to MAP in Belief Networks. IJCNN (5) 2000: 652
1990 – 1999
- 1999
- [j17]Yun Peng, Timothy W. Finin, Yannis Labrou, R. Scott Cost, Bei-tseng Chu, Junsheng Long, William J. Tolone, Akram Boughannam:
Agent-Based Approach for Manufacturing Integration: The Ciimplex Experience. Appl. Artif. Intell. 13(1-2): 39-63 (1999) - [j16]Yannis Labrou, Tim Finin, Yun Peng:
Agent communication languages: the current landscape. IEEE Intell. Syst. 14(2): 45-52 (1999) - [j15]Yun Peng, Zonglin Zhou, Sungzoon Cho:
Constructing belief networks from realistic data. Int. J. Intell. Syst. 14(7): 671-695 (1999) - [c9]Xiaocheng Luan, Yun Peng, Timothy W. Finin:
Learning in Broker Agent. AAAI/IAAI 1999: 969 - [c8]R. Scott Cost, Timothy W. Finin, Yannis Labrou, Xiaocheng Luan, Yun Peng, Ian Soboroff, James Mayfield, Akram Boughannam:
Agent Development with Jackal. Agents 1999: 358-359 - [c7]Yannis Labrou, Timothy W. Finin, Yun Peng:
The Interoperability Problem: Bringing together Mobile Agents and Agent Communication Languages. HICSS 1999 - [c6]Yun Peng, Miao Jin, Kaihua Chen:
A neural network approach to MAP in belief networks. IJCNN 1999: 4111-4114 - [c5]R. Scott Cost, Timothy W. Finin, Yannis Labrou, Xiaocheng Luan, Yun Peng, Ian Soboroff, James Mayfield, Akram Boughannam:
An Agent-Based Infrastructure for Enterprise Integration. ASA/MA 1999: 219-233 - 1998
- [j14]Linglan Edwards, Yun Peng, James A. Reggia:
Computational Models for the Formation of Protocell Structures. Artif. Life 4(1): 61-77 (1998) - [j13]Timothy W. Finin, Yannis Labrou, Yun Peng:
Mobile agents can benefit from standards efforts on interagent communication. IEEE Commun. Mag. 36(7): 50-56 (1998) - [c4]Yun Peng, Tim Finin, Yannis Labrou, Bei-tseng Chu, Junsheng Long, William J. Tolone, Akram Boughannam:
A Multi-Agent System for Enterprise Integration. PAAM 1998: 155-172 - 1996
- [j12]Yun Peng, Zonglin Zhou:
A neural network learning method for belief networks. Int. J. Intell. Syst. 11(11): 893-915 (1996) - 1995
- [c3]Yun Peng, Zonglin Zhou, Erik McClenney:
Relaxing backpropagation networks as associative memories. ICNN 1995: 1777-1782 - 1994
- [j11]Stanley Tuhrim, James A. Reggia, Yun Peng:
High-specificity neurological localization using a connectionist model. Artif. Intell. Medicine 6(6): 521-532 (1994) - 1993
- [j10]James A. Reggia, Yun Peng, Stanley Tuhrim:
A connectionist approach to diagnostic problem solving using causal networks. Inf. Sci. 70(1-2): 27-48 (1993) - [j9]Frank E. McFadden, Yun Peng, James A. Reggia:
Local conditions for phase transitions in neural networks with variable connection strengths. Neural Networks 6(5): 667-676 (1993) - [c2]James A. Reggia, Hui-Hsien Chou, Steven L. Armentrout, Yun Peng:
Minimizing Complexity in Cellular Automata Models of Self-Replication. ISMB 1993: 337-344 - 1992
- [j8]Yun Peng, James A. Reggia, Tao Li:
A Connectionist Approach to Vertex Covering Problems. Int. J. Neural Syst. 3(1): 43-56 (1992) - 1991
- [j7]Tao Li, Yun Peng:
Design and Analysis of Competition-Based Neural Networks. Complex Syst. 5(5) (1991)
1980 – 1989
- 1989
- [j6]Yun Peng, James A. Reggia:
A comfort measure for diagnostic problem solving. Inf. Sci. 47(2): 149-184 (1989) - [j5]Yun Peng, James A. Reggia:
A connectionist model for diagnostic problem solving. IEEE Trans. Syst. Man Cybern. 19(2): 285-298 (1989) - 1987
- [j4]Yun Peng, James A. Reggia:
Diagnostic problem-solving with causal chaining. Int. J. Intell. Syst. 2(3): 265-302 (1987) - [j3]Yun Peng, James A. Reggia:
A Probabilistic Causal Model for Diagnostic Problem Solving Part I: Integrating Symbolic Causal Inference with Numeric Probabilistic Inference. IEEE Trans. Syst. Man Cybern. 17(2): 146-162 (1987) - [j2]Yun Peng, James A. Reggia:
A Probabilistic Causal Model for Diagnostic Problem Solving Part II: Diagnostic Strategy. IEEE Trans. Syst. Man Cybern. 17(3): 395-406 (1987) - 1986
- [c1]Yun Peng, James A. Reggia:
Plausibility of Diagnostic Hypotheses: The Nature of Simplicity. AAAI 1986: 140-147 - 1985
- [j1]James A. Reggia, Dana S. Nau, Pearl Y. Wang, Yun Peng:
A formal model of diagnostic inference, II. Algorithmic solution and application. Inf. Sci. 37(1-3): 257-285 (1985)
Coauthor Index
aka: Timothy W. Finin
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