Publications
2016:
2015:
5.
Kulvatunyou, B., Lee, Y., Ivezic, N., and Peng, Y.: “A Framework to Canonicalize
Manufacturing Service Capability Models”, Computers & Industrial
Engineering, 83, 39-60, May 2015.
6.
Lo, J., Gui, Y., Peng, Y: “The Normalized
Risk-Averting Error Criterion For Avoiding Nonglobal Local Minima In Training
Neural Networks”, Neurocomputing,
149(A), 3 – 12, Feb. 2015.
2014:
7.
Lo, J., Gui, Y., and Peng, Y: “A Pairwise Algorithm for Training
Multilayer Perceptrons with the Normalized Risk-Averting Error Criterion”, in Proceedings of the International Joint
Conference on Neural Networks (IJCNN 2014), Beijing, China, July 6 - 11,
2014.
2013:
8.
Lee, J., Jung, K., Kim, B.H, Peng, Y. and Cho, H: “Semantic
Web-Based Supplier Discovery System For Building A Long-Term Supply Chain”,
International Journal of Computer
Integrated Manufacturing, 28(2), 2013.
9.
Lo, J., Gui, Y., and Peng, Y: “Overcoming The Local-Minimum Problem In
Training Multilayer Perceptrons With The NRAE-MSE Training Method”, in Proceedings of the Tenth International Symposium on
Neural Networks (ISNN 2013), pp. 83 – 90, Dalian, China, July 4 – 6, 2013.
10. Lo, J., Gui, Y., and Peng,
Y: “Overcoming The Local-Minimum Problem In Training Multilayer Perceptrons By
Gradual Deconvexification”, in Proceedings
of the International Joint Conference on Neural Networks (IJCNN 2013),
Dallas TX, August 4 – 9, 2013.
11. Lee, Y., and Peng, Y: “A
Framework for Developing Manufacturing Service Capability Information Model”,
in Proceedings of IFIP WG 5.7
International Conference, APMS 2013, Part II, Volume 414, 2013, pp 325-333,
State College, PA, USA, September 9-12, 2013.
12. Peng, Y. and Kang, Y:
"Ontology-Based Dynamic Forms for Manufacturing Capability Information
Collection", in Proceedings of IFIP
WG 5.7 International Conference, APMS 2013, Part II, Volume 415, 2013, pp
468-476, State College, PA, USA, September 9-12, 2013.
2012:
13. Peng, Y., Ding, Z., Zhang,
S., and Pan, R.: “Bayesian Network Revision
with Probabilistic Constraints”, International
Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 20(3),
1 – 21, June 2012.
14. Lo, J., Gui, Y., and Peng,
Y: “Overcoming The Local-Minimum Problem In
Training Multilayer Perceptrons With The NRAE Training Method”, in Proceedings of the Ninth International Symposium on
Neural Networks (ISNN 2012), pp. 440 – 447, Shengyang, China, July 11 – 14,
2012.
2011:
15. Kim, J. Peng, Y. Ivezic, N and
Shin, J: “An
optimization approach for semantic-based XML schema matching”, International Journal of Trade, Economics,
and Finance, 2 (1), 78 – 86, 2011.
16. Kang, Y., Kim, J. and Peng,
Y: “Extensible Dynamic Form Approach for
Supplier Discovery”, in Proceedings
of the IEEE International Conference on Information Reuse and Integration,
Las Vegas, NV, Aug. 3 – 5, 2011.
17. Lee, C., Lee, YH., Peng, Y.
and Cho, H: “A Supplier Discovery Framework For
Effective And Efficient Configuration Of A Supply Chain”, International
Journal of Industrial Engineering, 18(3), 109 – 119, 2011.
2010:
18.
Kim, J. and Peng, Y.: “A semantic
similarity analysis for data mappings between heterogeneous XML schemas”,
in E. Kajan (ed.) Electronic Business
Interoperability: Concepts, Opportunities and Challenges, IGI Global,
19.
Zhang, S., Sun,
Y., Peng, Y., and Wang, X.: “A Practical Tool for
Uncertainty in Owl Ontologies”, In Proceedings
of IASTED International Conference on
Artificial Intelligence and Applications,
20.
Peng, Y. and
Zhang, S: “Integrating Probability
Constraints into Bayesian Nets”, in
The Proceedings of 9th European
Conference on Artificial Intelligence (ECAI2010), Lisbon, Portugal, August,
2010.
21.
Peng, Y., Zhang, S., Pan, R.: “Bayesian
Network Reasoning with Uncertain Evidences”, International Journal of Uncertainty, Fuzziness and Knowledge-Based
Systems, 18 (5),
539-564, 2010
22.
Kim, J. Peng, Y., Ivezic, N.
and Shin, J: “Semantic-based
Optimal XML Schema Matching: A Mathematical Programming Approach”, in The Proceedings of International Conference
on E-business, Management and Economics – ICEME 2010, Hongkong, China, Dec.
28 – 30, 2010
2009:
23.
Zhang, S., Sun,
Y., Peng, Y., and Wang, X.: “BayesOWL: A
Prototype System for Uncertainty in Semantic Web”, In Proceedings of the International Conference on Artificial Intelligence
(ICAI 2009), Las Vegas, NV, July, 13 – 16, 2009.
24.
Kim, J., Lee, S.,
Halem, M., and Peng, Y.: “Semantic
Similarity Analysis of XML Schema Using Grid Computing”, In Proceedings of the IEEE International
Conference on Information Reuse and Integration,
25.
Yan, X., Peng, Y., et al:
“From Ontology Selection and Semantic
Web to an Integrated Information System for Food-Borne Diseases and Food Safety”,
in Software Tools and Algorithms for Biological Systems, Springer, accepted for
publication, Dec. 2009.
26.
Cho, H., Wu, J.,
Ivezic, N., Jones, A., Peng, Y.: “An
Integration Technology for Long Distance Logistics and Supply Chain Management”,
in Proceedings of the 18th International
Conference on Management of Technology, Orlando, FL, April 5 – 9, 2009.
2008:
27.
Kim, J. Peng, Y., et
al: “A Layered Approach to Semantic
Similarity Analysis of XML Schemas”, in Proceedings
of The 2008 IEEE International Conference on Information Reuse and Integration,
Las Vegas, NV, July 13 - 15, 2008.
28.
Zhang, S. and Peng, Y:
“An
Efficient Method for Probabilistic Knowledge Integration”, in Proceedings of The 20th IEEE International
Conference on Tools with Artificial Intelligence (ICTAI-2008), Dayton,
Ohio, Nov. 3-5, 2008
29.
Peng, Y. and
Augsburger, L: “Knowledge-Based Systems and Other
AI Applications for Tableting”, in Pharmaceutical
Dosage Forms, L. Augsburger and S. Hoag (eds.), Informa, New York, NY, 2008
2007:
30.
Yu, Y. and Peng, Y:
“Learning
the Semantic Meaning of a Concept from the Web”, in Proceedings of the Twentieth Canadian Conference
on Artificial Intelligence (CanAI-2007), Montreal, Québec, Canada, May 28 – 30, 2007.
31.
Peng, Y. et al: “A
Probabilistic Framework for Semantic Similarity and Ontology Mapping” ,
in Proceedings of the 2007 Industrial
Engineering Research Conference, G. Bayraksan, W. Lin, Y. Son, and R. Wysk
(eds.), Nashville, TN, May 19 – 23, 2007.
2006:
32.
Pan, R., Peng, Y., and Ding, Z: Belief
Update in Bayesian Networks Using Uncertain Evidence, in Proceedings of the IEEE International
Conference on Tools with Artificial Intelligence (ICTAI-2006), Washington,
DC,13 – 15, Nov. 2006.
33.
Ding, Z., Peng, Y. and
Pan, R: BayesOWL: Uncertainty Modeling
in Semantic Web Ontologies”, in Soft
Computing in Ontologies and Semantic Web, Springer-Verlag, March 2006.
2005:
34.
Wilson, W., Peng,
Y. and Augsburger
L: “Comparison of statistical
analysis and Bayesian Networks in the evaluation of dissolution performance on
BCS Class II Model Drugs”, Journal of
Pharmaceutical Sciences, 12/2005; 94(12).
35.
Pan, R., Ding,
Z., Yu, Y. and Peng, Y.: “A Bayesian Network Approach to Ontology
Mapping”, in Proceedings of the
Fourth International Semantic Web
Conference (ISWC 2005), Galway, Ireland, November 6-10, 2005.
36.
Ding, L., Pan,
R., Finin, T., Joshi, A., Peng, Y., and Kolari, P.: “Finding and Ranking Knowledge on the Semantic Web”,
in Proceedings of the Fourth
International Semantic Web Conference (ISWC 2005), Galway, Ireland,
November 6-10, 2005.
37.
Ding, L., Finin,
T., Peng, Y. Joshi, A., da Silva P.,
and McGuinness, D.: “Tracking RDF Graph Provenance Using RDF Molecules”,
poster presented at Fourth International
Semantic Web Conference (ISWC 2005),
38.
Ding, L., Pan,
R., Finin, T., Joshi, A., Peng, Y., and Kolari, P.: “Search
on the Semantic Web”, IEEE Computer,
October 2005, 62 – 69.
39.
40.
Pan, R. and Peng,
Y.: “A Framework for Bayesian Network
Mapping”, The Twentieth National
Conference on Artificial Intelligence (AAAI-05), Pittsburgh, PA, July 9-13,
2005.
41.
Ding, Z., Peng, Y.
Pan, R., and Yu, Y: “A Bayesian Methodology Towards Automatic Ontology
Mapping”, AAAI-05 Workshop on
Contexts and Ontologies: Theory, Practice and Applications (C&O-2005),
42.
Peng, Y. and
Ding, Z.: “Modifying Bayesian Networks by
Probability Constraints”, in Proceedings
of 21st Conference on Uncertainty in Artificial Intelligence
(UAI-2005), Edinburgh, Scotland, July 26-29, 2005.
43.
Ding, L., Kolari,
P., Finin, T., Joshi, A., Peng, Y., and Yesha, Y.: “On Homeland Security and the Semantic Web: A
Provenance and Trust Aware Inference Framework”, In Proceedings of the AAAI
Spring Symposium on AI Technologies for Homeland Security, March 2005.
2004:
44.
Ding, Z. and
Peng, Y:“A probabilistic extension to the web
ontology language OWL”, Thirty-Seventh
45.
Finin, T., Peng,
Y., Cost, R.S., Sachs, J., Joshi, A., Reddivari, P., Pan, R., Doshi, V., Li, D:
“Swoogle – a search and metadata engine for the
semantic web”, in Proceedings of Conference on Information and Knowledge
Management (CIKM04), 2004.
46.
Watthayu, W. and
Peng, Y: “A Bayesian Network Based Framework
For Multi-Criteria Decision Making”, International Conference on
Multi-Criteria Decision Making (MCDM2004), Whistler, B. C. Canada August
6-11, 2004.
47.
Luan, X., Peng,
Y., and Finin, T: “Quantitative Agent Service
Matching”, in Proceedings of
the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI'04), 20-24 September, 2004, Beijing,
China.
48.
Li Ding et al.,
"Swoogle: A Search and Metadata Engine for the
Semantic Web", in Proceedings of
the Thirteenth ACM Conference on Information and Knowledge Management ,
November 2004.
49.
Zhongli Ding et
al., "A Bayesian Approach to
Uncertainty Modeling in OWL Ontology", in Proceedings of the International Conference on Advances in Intelligent
Systems - Theory and Applications, November 2004, Luxembourg.
2003:
50.
Kunjithapatham,
A., Sheshagiri, M., Finin, T., Joshi, A. and Peng, Y: “Personal Agents on the Semantic Web”, the
Second International Semantic Web Conference (ISWC2003), Oct. 20 – 23,
2003.
51.
Luan, X., Peng,
Y., and Finin, T.: “Learning in Broker Agent in Innovative Concepts for Agent-Based Systems, Springer-Verlag, 2003,
106-121.
52.
Chen, Y. and Peng
Y.: “An Extended Bayesian Belief Network
Model of Multi-agent Systems for Supply Chain Management”, in Innovative Concepts for Agent-Based Systems,
Springer-Verlag, 2003, 335-346.
53.
Zou, Y., Finin,
T., Peng, Y., Joshi, A., and Cost, R.S: “Agent
Communication in DAML World”, in Innovative
Concepts for Agent-Based Systems, Springer-Verlag, 2003, 347-354.
54. Peng, Y., Zou, Y., Luan, X., Ivezic, N., Gruninger,
M., and Jones, A.: “Semantic Resolution
for E-Commerce”, in Innovative
Concepts for Agent-Based Systems, Springer-Verlag, 2003, 355-366.
2002:
55.
Cost, R.S.,
Finin, T., Joshi, A., Peng, Y., Nicholas, C., Soboroff, I., Chen, H., Kagal,
L., Perich, F., Zou, Y., Tolia S.: “ITTALKS:
A Case Study in the Semantic Web and DAML”, IEEE Intelligent Systems,
17(1), 40-47, 2002.
56.
Peng, Y. and Jin,
M.: “A Neural Network Approach to MAP in Belief
Networks”, International Journal of Neural Systems, 12(3, 4),
2002, 271 – 290.
57.
Guo, M., Kalra,
G., Peng, Y., and Augsburger, L. “A
Prototype Intelligent Hybrid System For Hard Gelatin Capsule Formulation
Development”, Pharmaceutical Research, 26(9), 44-60, 2002.
58.
Peng, Y., Zou,
Y., Luan, X., Ivezic, N., Gruninger, M., and Jones, A.: “Semantic Resolution for E-Commerce”,
the NASA Workshop for Radical Agent Concept,
59.
Chen, Y. and Peng
Y.: “An Extended Bayesian Belief Network
Model of Multi-agent Systems for Supply Chain Management”, the NASA
Workshop for Radical Agent Concept,
60.
Luan, X., Peng,
Y., and Finin, T.: “Learning in Broker Agent”, NASA Workshop for Radical Agent
Concept,
61.
Peng, Y., Zou,
Y., Luan, X., Ivezic, N., Gruninger, M., and Jones, A.: “Towards Semantic-Based
Integration for E-business”, International Symposium on manufacturing and Applications,
62.
Prasad, S., Peng,
Y., and Finin, T.: “A Tool For Mapping
Between Two Ontologies”, International Semantic Web Conference (ISWC02),
(poster),
63.
Shah, U., Finin,
T., Peng, Y., and Mayfield, J.: “Information Retrieval on the Semantic Web”,
International Semantic Web Conference (ISWC02), (poster),
64.
Prasad, S., Peng,
Y., and Finin, T.: “A Tool For Mapping Between Two
Ontologies Using Explicit Information”, Ontologies in Agent Systems (OAS)
workshop, International Conference on Autonomous Agents and Multi-Agent Systems
(AAMAS02), Bonogna, Italy, July, 2002.
65.
Peng, Y., Zou,
Y., Luan, X., Ivezic, N., Gruninger, M., and Jones, A.: “Semantic Resolution for E-Commerce”
(poster), International Conference on Autonomous Agents and Multi-Agent Systems
(AAMAS02),
66.
Zou, Y., Finin, T., Peng, Y., Joshi, A., and Cost, R.S: “Agent Communication in DAML World”, NASA
Workshop for Radical Agent Concept,
67.
Prasad, S., Peng,
Y., and Finin, T.: “A Tool For Mapping Between
Two Ontologies Using Explicit Information”, AAAI Workshop on Meaning
Negotiation,
68.
Kalra, G., Peng,
Y., Guo, M., and Augsburger, L: “A Hybrid
Intelligent System For Formulation Of BCS Class II Drugs In Hard Gelatin
Capsules”, Proceedings of the International Conference on Neural
Information Processing,
69. Kumar, S., Kunjithapatham, A., Sheshagiri, M., Finin,
T., Joshi, A., Peng, Y., and Cost, R.S: “A personal agent application for the
semantic web”, AAAI Fall Symposium on Personalized Agents,
2001:
70.
Peng, Y. and
Ivezic, N.: “Semantic Resolution for E-Commerce”,
Workshop on Ontologies in Agent Systems (OAS), International Conference on
Autonomous Agents (AA01),
71.
Perich, F.,
Kagal, L., Chen, H., Tolia, S., Zou, Y., Finin, T., Joshi, A., Peng, Y., Cost,
R.S., and Nicholas, C.: “ITTALKS: An
Application of Agents in the Semantic Web”, Second International Workshop
of the Engineering Societies in the Agents' World, Prague,
Czech Republic, July, 2001.
72.
Kalra, G., Guo,
M., Peng, Y., and Augsburger, L: “A Hybrid
Expert System-Neural Network for Capsule Formulation Support”, (poster)
Annual Meeting of the American Association of Pharmaceutical Scientists (AAPS),
Denver, CO, Oct. 2001.
73.
Kagal, L., Finin,
T. and Peng, Y: “A Delegation Based Model for Distributed Trust Management”, in
Proceedings of IJCAI-01 Workshop on Autonomy, Delegation, and Control,
August 2001. ???
74.
Cost, R.S.,
Finin, T., Joshi, A., Peng, Y., Nicholas, C., Soboroff, I., Chen, H., Kagal,
L., Perich, F., Zou, Y., Tolia S.: “ITTALKS: A
Case Study in the Semantic Web and DAML”, Semantic Web Working Symposium,
477-494, Stanford Univeristy, CA, July 30 - Aug. 7, 2001.
75.
Kagal, L., Cost,
C., Finin, T. and Peng, Y: “A Framework for Distributed Trust Management”, in Proceedings
of Second Workshop on Norms and Institutions in MAS, Autonomous Agents, May
2001. ???
76. Luan, X., Peng, Y. and Finin, T.: “Agent Consumer Reports: Of the
Agents, By the Agents, and For the agents”, in Proceedings
of the Second Asia-Pacific Conference on Intelligent Agent Technology (IAT'01).
2000:
77.
Cost, R. S.,
Chen, Y., Finin, T., Labrou, Y, and Peng, Y: “Using Colored Petri Nets for
Conversation Modeling”, in Agent Communication Languages, F. Dignum and
M. Greaves (editors), Springer-Verlag, Lecture Notes in AI, 2000, 178-192. ??
78.
Peng, Y. and Jin,
M.: “A Mean Field Approach to MAP in Belief
Networks”, in Proceedings of The International Joint Conference on
Neural Networks,
79.
Peng, Y.:
“Modeling Multiagent Systems by Bayesian Belief Networks”, (poster), The
NASA Workshop on Formal Approaches to Agent-based Systems, Greenbelt, MD,
April 5-7, 2000. ???
80. Fong, E., Ivezic, N., Rhodes, T., and Y. Peng, "Agent-based Services for B2B Electronic Commerce,"
in Network Intelligence: Internet-based Manufacturing, Nina M. Berry
(d.), July 30 – August 4, 2000, San Diego, CA. Proceedings of SPIE Vol. 4208,
106-113, 2000.
1999:
81.
Peng, Y., Finin,
T., Labrou, Y.,
82.
Peng Y, Zhou Z,
and Cho S: “Constructing Belief Networks From
Realistic Data”, International Journal of Intelligent Systems, 14(7),
671-695, 1999.
83.
Labrou, Y., Finin,
T., and Peng, Y: “Agent Communication Languages: The
current landscape”, IEEE Intelligent Systems, 14(2), 1999,
45-52.
84.
Labrou, Y.,
Finin, T., and Peng, Y: “The Interoperability
Problem: Bringing together Mobile Agents and Agent Communication Languages”,
In Proceedings of the 32nd Hawaii International Conference On System
Sciences, Maui,
85.
Cost, R.S.,
Finin, T., Labrou, Y., Luan, X., Peng, Y., Soboroff,
86.
Cost, R.S., Chen,
Y., Finin, T., Labrou, Y., Peng, Y: “Modeling
Agent Conversation with Colored Petri Nets”, Workshop on Specifying and
Implementing Conversation Policies, The International Conference on Autonomous
Agents (Agents '99), 1999.
87.
Cost, R.S., Chen,
Y., Finin, T., Labrou, Y., Peng, Y.: “Using Colored
Petri Nets for Conversation Modeling”, in Workshop on Agent
Communication Languages Sixteenth International Joint Conference on Artificial
Intelligence (IJCAI-99),
88.
Cost, R.S.,
Finin, T., Labrou, Y., Luan, X., Peng, Y., Soboroff, I., Mayfield, J., and
Boughannam, A: “An Agent-Based Infrastructure
for Enterprise Integration”, First International Symposium on Agent
Systems and Applications (ASA'99) & Third International Symposium on Mobile
Agents (MA'99), 1999.
89.
Peng Y., Finin,
T., Chen, L., Wang, L., Cost, S., Labrou, Y.,
90.
Chen, Y., Peng,
Y., Finin, T., Labrou, Y., Cost, R.S., Chu, B.,Yao, J., Sun, R., Wilhelm, R: “A Negotiation-Based Multi-agent System for Supply
Chain Management”, in Workshop on Agent based Decision-Support for
Managing the Internet-Enable Supply-Chain, Proceedings of The International
Conference on Autonomous Agents (Agents '99), Seattle, May, 1999.
91.
Chen, Y., Peng, Y.,
Finin, T., Labrou, Y., and Cost, R.S: “Negotiating
agents for Supply Chain Management,” in Work Note of AAAI Workshop of
Electronic Commerce,
92.
Peng, Y., Jin,
M., and Chen, K.: “A Neural Network Approach to
MAPs in Belief Networks”, in Proceedings of The International Joint
Conference on Neural Networks,
93. Luan, X., Peng, Y.
and Finin, T.: “Learning in Broker Agent” (Poster abstract), in Proceedings of the Sixteenth National
Conference on Artificial Intelligence (AAAI-99), Orlando, FL, 1999.
1998:
94.
Peng, Y., Finin,
T., Labrou, Y., Chu, B., Long, J., Tolone, W.J., Boughanam, A: “A Multi-Agent System for Enterprise
Integration”, International Journal of Agile Manufacturing, 1(2),
201-212, 1998.
95.
Tolone, W.J.,
96.
Finin T, Labrou
Y. and Peng Y: “Mobile Agents Can Benefit from Standard Efforts on Inter-Agent
Communication”, IEEE Communications Magazine, 36(7), 50-56, 1998.
97.
Edwards L., Peng,
Y., and Reggia, J: “Computational Models for the
Formation of Protocell Structure”, Artificial Life, 4(1),
61-77, 1998.
98.
Peng, Y., Finin,
T., Labrou, Y., Chu, B., Long, J., Tolone, W.J., and Boughannam, A: “A Multi-Agent System for Enterprise Integration”,
in Proceedings of Third International Conference on Practical Applications
of Intelligent Agents and Multi-Agents, London, UK, March 23-25, 1998,
155-169.
99.
Edwards, L. and
Peng, Y: “A Computational Model for the Formation
of Protocell Structures”, (abstract). Poster presentation at The
Second Annual International Conference on Computational Molecular Biology,
New York, NY, March, 1998
100.
Edwards, L. and
Peng, Y: “Computational Models for the Formation of Protocell Structures”, (a
plenary talk presented at the Sixth International Conference on Artificial
Life), in Artificial Life VI, Proceedings of The Sixth International
Conference on Artificial Life, Los Angeles, CA. June, 1998, 35-42.
101.
Edwards, L. and
Peng, Y: “Computer Simulations of Lipid Aggregates”, The Third German
Workshop on Artificial Life, Berlin, September, 1998.
102. Cost, R.S., Finin, T., Labrou, Y., Luan, X., Peng, Y.,
Soboroff, I., Mayfield, J., and Boughannam, A: “Jackal: A JAVA-based tool for
agent development”, Working Notes of the Workshop on Tools for Developing
Agents (AAAI Technical Report), AAAI, Madison, WI, July 26-30, 1998,
1997:
103.
Chu, B., Long,
J., Tolone, W.J., Wilhelm, R., Peng, Y., Finin, T., Mathews, M.: “Towards
Intelligent Integrated Manufacturing Planning-Execution”, International
Journal of Advanced Manufacturing Systems, 1(1), 77-83, 1997.
1996:
104.
Reggia J, Peng Y,
and Tuhrim S: “Abductive Causal Models of Diagnosis and Their Realization as
Connectionist Models”, in Abduction: Inventing and Evaluating Explanations,
P. O'Rorke and J. Josephson (Eds.), The MIT Press, Cambridge, MA, 1996.
105.
Peng Y and Zhou
Z: “A Neural Network Learning Method for
Belief Networks”, International Journal of Intelligent Systems,
11, 1996, 893-916.
106.
Peng Y and Zhou
Z: “Turning Backpropagation Networks into High-Capacity Associative Memories”,
in Proceedings of the World Congress on Neural Networks, San Diego, CA,
Sept. 15-18, 1996, 743-748.
107.
Kim H, Cho S, and
Peng Y: “Learning Belief Networks from Realistic Data: A Comparative Study”, in
Proceedings of the International Conference on Neural Information Processing
(ICONIP), Hong Kong, Sep. 1996, 221-226.
108.
Chu, B., Tolone,
W. J., Wilhelm, R., Hegedus, M., Fesko, J., Finin, T., Peng, Y., Jones, C.
Long, J., Matthews, M., Mayfied, J., Shimp, J., and Su, S: “Integrating Manufacturing Softwares for
Intelligent Planning-Execution: A CIIMPLEX Perspective”, in Plug and
Play Software for Agile Manufacturing, Proceedings of SPIE, 2913,
Boston, MA, 1996, 96-108.
1995:
109.
Tuhrim S, Reggia
J, and Peng Y: “High-Specificity Neurological Localization Using a
Connectionist Model”, AI in Medicine, 1995.
110.
Peng Y, Zhou Z
and McLenney E: “Relaxing Backpropagation Networks as Associative Memories”, in
Proceedings of The IEEE International Conference on Neural Networks,
Perth, Australia, Nov. 27 - Dec. 1, 1995, 1777-1782.
Prior to 1995:
111.
Peng Y and Jiang
N: “A Learning Method for Belief Networks”, in Proceedings of The Third
International Workshop on Principle of Diagnosis, New Paltz, NY, October,
1994, 234-251.
112.
Peng Y and Jiang
N: “A Learning Method for Belief Networks”, in Proceedings of The
International Workshop on Knowledge Engineering and Applications, PRICAI
'94, Beijing, China, Aug. 1994, 23-34.
113.
Peng Y: “A Neural
Network Learning Method for Causal Networks”, in Proceedings of the IEEE
International Conference on Systems, Man and Cybernetics, Le Touquet,
France, Oct. 1993, I, 731-736.
114.
Reggia J, Chou H,
Armentrout L and Peng Y: “Minimizing Complexity in Cellular Automata Models of
Self-Replication”, in Proceedings of the First International Conference on
Intelligent Systems for Molecular Biology, Washington, DC, July 1993,
337-344.
115.
Peng Y. and
Reggia J: “A Neural Network Model for Diagnostic Problem-Solving”, in Intelligent
Modeling, Diagnosis and Control of Manufacturing Processes, B. Chu and S.
Chen (Eds.), World Scientific Publishing, 1992, 83-110.
116.
Reggia J, Peng Y,
and Bourret P: “Recent Applications of Competitive Activation Mechanisms”, in Neural
Networks: Advances and Applications, E. Gelenbe (Ed.), North-Holland, 1990,
33-62.
117.
Peng Y and Reggia
J: Abductive Inference Models for Diagnostic Problem Solving,
Springer-Verlag, New York, 1990.
118.
Peng Y and Reggia
J: “Integration of Symbolic Causal Inference and Numeric Probabilistic
Inference”, in Systems and Control Encyclopedia (First Supplement), M.
Singh (Ed.), Pergamon Books Ltd., Oxford, United Kingdom, 1990, 567-573.
119.
McFadden F, Peng
Y, and Reggia J: “Phase Transitions in Neural Networks with Variable Connection
Strengths: New Results”, Neural Networks, 6, 1993, 667-676.
120.
Reggia J,
Armentrout S, Chou H, and Peng, Y: “Simple Systems Exhibiting Self-Directed
Replication”, Science, 259, 26 Feb. 1993, 1282-1287.
121.
Reggia J, Peng Y,
and Tuhrim S: “A Connectionist Approach to Diagnostic Problem-Solving Using
Causal Networks”, Information Sciences, 70, 1993, 27-48.
122.
McFadden F, Peng
Y, and Reggia J: “Local Analysis of Phase Transitions in Neural Networks with
Varying Connection Strengths”, in Proceedings of the International Joint
Conference on Neural Networks, Baltimore, MD, June, 1992, III, 109-114
123.
Peng Y: “Learning
Probabilities for Causal networks”, in Proceedings of the International
Joint Conference on Neural Networks, Baltimore, MD, June, 1992, IV, 97-102.
124.
Peng Y, Reggia J,
and Li T: “A Connectionist Approach to Vertex Covering Problems'', International
Journal of Neural Systems, 3 (1) 1992, 43-56.
125.
Li T and Peng Y:
“Design and Analysis of Competition Based Neural Networks”, Complex Systems,
5 (2), 1991, 509-524.
126.
Goodall S, Reggia
J, Peng Y, and Berndt R: “A Model of Oral Reading with Relevance to Acquired
Dyslexia”, in Proceedings of the 14th Annual Symposium on Computer
Applications in Medical Care, Washington, DC, Aug. 1990.
127.
Reggia J, Peng Y,
and Tuhrim S: “The Role of Connectionist Methods in Abductive Diagnostic
Problem-Solving”, in Proceedings of the First International Workshop on
Principles of Diagnosis, AAAI, Palo Alto, CA, July 1990, 83-91.
128.
Reggia J and Peng
Y: “Parsimonious Covering Theory and Non-Diagnostic Tasks”, in Proceedings
of the AAAI Spring Symposium on Abduction, Palo Alto, CA, March 1990.
129.
Peng Y: “A Neural
Network Approach to Vertex Cover Problems”, in Proceedings of The
International Joint Conference on Neural Networks, Washington, DC, Aug.
1989, II-590.
130.
Peng Y and Reggia
J: “A Connectionist Model for Diagnostic Problem Solving”, IEEE Transactions
on System, Man and Cybernetics, 19 (2), 1989, 285-298.
131.
Peng Y and Reggia
J: “Comfort Measure for Diagnostic Problem-Solving”, Information Sciences,
47, 1989, 149-184.
132.
Peng Y: “A
Connectionist Solution for Vertex Cover Problems, in Learning and Recognition:
A Modern Approach, Proceedings of The Beijing International Workshop on Neural
Networks, Beijing, China, Sept. 1988, 72-80.
133.
Reggia J and Peng
Y: “Modeling Diagnostic Reasoning: A Summary of Parsimonious Covering Theory”, Computer
Methods and Programs in Biomedicine, 25, 1987, 125-134.
134.
Peng Y and Reggia
J: “Diagnostic Problem-Solving with Causal Chaining”, International Journal
of Intelligent Systems, 2, 1987, 265-302.
135.
Peng Y and Reggia
J: “A Probabilistic Causal Model for Diagnostic Problem-Solving, Part Two:
Diagnostic Strategy”, IEEE Transactions on Systems, Man and Cybernetics,
17 (3) 1987, 395-406.
136.
Peng Y and Reggia
J: “A Probabilistic Causal Model for Diagnostic Problem Solving. Part One:
Integrating Symbolic Causal Inference with Numeric Probabilistic Inference”, IEEE
Transactions on Systems, Man and Cybernetics, 17 (2), 1987, 146-162.
137.
Reggia J and Peng
Y: “Modeling Diagnostic Reasoning: A Summary of Parsimonious Covering Theory”,
in Proceedings of the 10th Annual Symposium on Computer Applications in
Medical Care, Washington, DC, Oct. 1986, 17-29.
138.
Peng Y and Reggia
J: “Plausibility of Diagnostic Hypotheses: the Nature of Simplicity”, in Proceedings
of the Fifth National Conference on Artificial Intelligence, Philadelphia,
PA, 1986, 140-145.
139.
Reggia J, Nau D,
Wang P, and Peng Y: “A Formal Model of Diagnostic Inference, Part Two:
Algorithmic Solution and Application”, Information Sciences, 37,
1985, 257-285.
140.
Reggia J,
Perricone B, Nau D, and Peng Y: “Answer Justification in Diagnostic Expert
Systems. Part Two: Supporting Plausible Justifications”, IEEE Transactions
on Biomedical Engineering, 32 (4) 1985, 268-272.
141.
Reggia J,
Perricone B, Nau D, and Peng Y: “Answer Justification in Diagnostic Expert
Systems. Part One: Abductive Inference and Its Justification”, IEEE
Transactions on Biomedical Engineering, 32(4) 1985, 263-267.
142.
Reggia J, Nau D,
Peng Y, and Perricone B: “A Theoretical Foundation for Abductive Expert
System”, in Approximate Reasoning in Expert System, M.
Gupta, A. Kandel, W. Bandler and J. Kiszka (Eds.), Elsevier Science Publishers
(North Holland), Amsterdam, Netherlands, 1985, 459-472.