Artificial Intelligence, Machine Learning and Data Mining,
Applications of Machine Learning in Cognitive Science
Machine Learning Applications in Engineering, Security, and
Web/text Mining, Natural Language Processing, Ontology
Fuzzy Logic and Fuzzy Systems
Intelligent Information Retrieval
Knowledge Representation, Logic in AI, Non-monotonic reasoning
Recent NSF Grant
From August 2003 to January 2010, Professor Chen was the
Co-Principal Investigator of a large NSF-funded project on the
profiling of terrorists and malicioius cyber transactions for
counter terrorism and crimes. For more detailed information about
this project and its publications, please browse the web
CSC3102 (Advanced Data Structures and Algorithm
CSC4402 (Introduction to Database
CSC7442 (Data Mining and Knowledge Discovery from
CSc7444 (Advanced Artificial
CSC7700 (Special Topics in Computer Science)
Selected Journal Publications
Guoji Xu, Qin Chen, Jianhua Chen. Prediction of
Solitary Wave Forces on Coastal Bridge Decks Using Artificial
Neural Networks, Journal of Bridge Engineering. 23(5),
David Sithiaraj. Xinbo Huang, Jianhua Chen.
Predicting climate types for the Continental United States using
unsupervised clustering techniques. Environmetrics.
Jianhua Chen. Properties of a new adaptive sampling method
with applications to scalable learning.Web Intelligence13(4): 215-227 (2015)
Ímer M. Soysal, Jianhua Chen. Object recognition
by spectral feature derived from canonical shape representation.
Machine Vision and Applications 24(4): 855-868 (2013)
Ímer M. Soysal, Jianhua Chen, Helmut Schneider.
Efficient photometric feature extraction in a hierarchical
learning scheme for nodule detection. IJGCRSIS 2(4):
Janardhana Punuru, Jianhua Chen. Learning
non-taxonomical semantic relations from domain texts. Journal
of Intelligent Information Systems 38(1): 191-207 (2012)
Guoli Ding, Robert F. Lax, Jianhua Chen, Peter P. Chen,
Brian D. Marx. Transforms of pseudo-Boolean random
variables. Discrete Applied Mathematics 158(1): 13-24
Patrick McDowell, Brian
Bourgeois, Pamela J. McDowell, S.S. Iyengar and Jianhua Chen.
Positioning for Team Robot Navigation. Autonomous Robots22(2): 133-148 (2007)
S. Seiden, P. Chen, R. Lax,
J. Chen, G. Ding. New Bounds on Randomized Busing. Theoretical Computer Science,
332 (2005), 63-81.
D. Kraft, M.J.
Martin-Bautista, J. Chen, and D. Sanchez, Rules
and Fuzzy Rules in Text: Concept, Extraction and Usage. Special
Issue of International Journal
of Approximate Reasoning, August 2003.
S. N. Sanchez, E.
Triantaphyllou, J. Chen, W. Liao, An incremental
learning algorithm for constructing Boolean functions from
positive and negative examples, Journal of Computers and Operations Research,
29(2002), pp. 1677-1700.
J. Chen, The Generalized Logic of Only Knowing That
Covers the Notion of Epistemic Specifications, Journal of
Logic and Computation, Vol. 7, No. 2, 1997, pp. 159-174.
S. Kundu, J. Chen, Fuzzy Logic or Lukasiewicz Logic:
A Clarification, Fuzzy Sets and Systems Vol. 95, 1998,
R.R. Brooks, S.S. Iyengar, J. Chen, Automatic
Correlation and Calibration of Noisy Sensor Readings using Elite
Genetic Algorithms, Artificial Intelligence, 84(1-2),
July 1996, pp. 339-354.
J. Chen, Relating Only Knowing to Minimal Knowledge
and Negation as Failure, Journal of Experimental and
Theoretical Artificial Intelligence, 6(1994), pp. 409-429.
W. Wang, J. Chen, Learning by Discovering Problem
Solving Heuristics through Experience, IEEE Transactions on
Knowledge and Data Engineering, (4) Vol 3, 1991, pp.
Selected Conference Publications
Marzieh Mousavian, Jianhua Chen, Steven G. Greening.
Feature Selection and Imbalanced Data Handling for Depression
Detection. Brain Informatics. 2018: 349-358
Guoji Xu, Jianhua Chen, Qin Chen. Application of
artificial neural networks to wave load prediction for coastal
bridges. ICCIP 2017: 526-531
Qian Wang, Jianhua Chen, Kelin Hu. Storm Surge
Prediction for Louisiana Coast Using Artificial Neural Networks.
ICONIP (3) 2016: 396-405
Jianhua Chen. Boosting with Adaptive Sampling for
Multi-class Classification. ICMLA 2015: 667-672
Robert Firth, Jianhua Chen. Neural Network
Implementation of a Mesoscale Meteorological Model. Proceedings of International Symposium on
Methodologies for Intelligent Systems(ISMIS)
Jianhua Chen, Jian Xu. Sampling Adaptively Using
the Massart Inequality for Scalable Learning. ICMLA (2)
Jianhua Chen, Xinjia Chen. A New Method for Adaptive
Sequential Sampling for Learning and Parameter Estimation. ISMIS
Jian Xu, Jianhua Chen, Bin Li. Random forest for
relational classification with application to terrorist
profiling. IEEE Int.
Conf. on Granular Computing. 2009: 630-633
J.R. Punuru and J. Chen.
Automatic Acquisition of Concepts from Domain Texts. Proceedings of the IEEE Int.
Conf. on Granular Computing. Atlanta, GA, May 2006.
R. Lax, G. Ding, P. Chen and
J. Chen. Approximating Pseudo-Boolean Functions
in Non-Uniform Domains. Proceedings of International
Joint Conference on Artificial Intelligence (IJCAI),
Scotland, August 2005.
G. Ding, J. Chen, R. Lax, P.
Chen. Efficient Learning of Pseudo-Boolean Functions
from Limited Training Data. Lecture Notes in Computer
Science, Vol. 3488(2005), Proceedings of International Symposium on
Methodologies for Intelligent Systems, Saratoga
Springs, NY, May 2005. pp. 323-331.
L. Moscovich and J. Chen.
Learning Hidden Markov Models using the State distribution
Oracle. Proceedings of Int. Conference
on Machine Learning and Applications (ICMLA),
Louisville, KY, Dec. 2004.
J. Chen, J. Chen and G.P.
Kemp, Fuzzy Clustering and Decision Tree Learning for
Time-series Tidal Data
of FUZZ-IEEE2003, May 2003, St. Louis.