Huanjing Wang photo Dr. Huanjing Wang
Professor of Computer Science
School of Engineering and Applied Sciences
Ogden College of Science and Engineering
Western Kentucky University
1906 College Heights Blvd. #11078
Bowling Green, KY 42101-1078		 Associate Editor: Journal of Big Data

Office: COHH 4139
Phone: 270-745-2672
Fax: 270-745-3699
Email: huanjing.wang@wku.edu
 
Referred Publications


2023
  1. H. Wang, J. Hancock, R. Bauder, H. Wang, and T. M. Khoshgoftaar, "Explainable machine learning models for Medicare fraud detection," Journal of Big Data, volume 10, Article number: 154 (2023)
  2. H. Wang, Q. Liang, J. Hancock, and T. M. Khoshgoftaar, " Enhancing Credit Card Fraud Detection Through a Novel Ensemble Feature Selection Technique," Proceedings of 24th IEEE International Conference on Information Reuse and Integration (IRI), Bellevue, WA, August 4-6, 2023
  3. H. Wang, T. M. Khoshgoftaar, "Review of Feature Selection Techniques for Credit Card Fraud Detection," Proceedings of 28th International Conference on Reliability and Quality in Design (RQD 2023), pages 396-401, San Francisco, CA, August 3-5, 2023
  4. H. Wang, J. Hancock, and T. M. Khoshgoftaar, "Determining Optimal Feature Subset Size for Credit Card Fraud Detection," Proceedings of 28th International Conference on Reliability and Quality in Design (RQD 2023), pages 407-411, San Francisco, CA, August 3-5, 2023
  5. H. Wang, J. Hancock, and T. M. Khoshgoftaar, "Improving Medicare Fraud Detection through Big Data Size Reduction Techniques," Proceedings of 2023 IEEE International Conference on Service-Oriented System Engineering (SOSE 2023), pages 208-217, Athens, Greece, July 17-20, 2023
2019
  1. H. Wang, T. M. Khoshgoftaar, "A study on Software Metric Selection for Software Fault Prediction, " Proceedings of the 2019 18th IEEE International Conference on Machine Learning and Applications (ICMLA), pages 1045-1050, Boca, Raton, FL, U.S.A
2017
  1. H. Wang, T. M. Khoshgoftaar, K. Gao, "Performance of Feature Subset Evaluators for Software Engineering Dataset," Proceedings of the 23rd ISSAT International Conference on Reliability and Quality in Design, pages 131-135, August 3-5, 2017, Chicago, IL, U.S.A
2016
  1. H. Wang, T. M. Khoshgoftaar, N. Seliya, "Similarity of Feature Subset Selection Methods on Software Metrics Data," Proceedings of the 22nd ISSAT International Conference on Reliability and Quality in Design, pages 186-191, August 4-6, 2016, Los Angeles, CA, U.S.A
2015
  1. H. Wang, T. M. Khoshgoftaar, N. Seliya, "On the Stability of Feature Selection Methods in Software Quality Prediction: An Empirical Investigation," International Journal of Software Engineering and Knowledge Engineering 25(9-10): 1467-1490 (2015)
  2. H. Wang, T. M. Khoshgoftaar, A. Napolitano, "An Empirical Investigation on Wrapper-Based Feature Selection for Predicting Software Quality," International Journal of Software Engineering and Knowledge Engineering 25(1): 93-114 (2015)
  3. H. Wang, T. M. Khoshgoftaar, and A. Napolitano, Stability of Three Forms of Feature Selection Methods on Software Engineering Data," The 27th International Conference on Software Engineering and Knowledge Engineering (SEKE 2015), pages 385-390, Pittsburgh, PA, USA, July 6-8, 2015
2014
  1. T. M. Khoshgoftaar, H. Wang, N. Seliya, "Performance of Filter-based Feature Subset Selection for Software Quality Data Classification," Proceedings of the 20th ISSAT International Conference on Reliability and Quality in Design, August 7-9, 2014, Seattle, Washington, U.S.A
  2. H. Wang, T. M. Khoshgoftaar, and A. Napolitano, "Choosing the Best Classification Performance Metric for Wrapper-based Software Metric Selection for Defect Prediction," The 26th International Conference on Software Engineering and Knowledge Engineering (SEKE 2014), pages 540-545, Vancouver, BC, Canada, July 1-3, 2014
2013
  1. H. Wang, T. M. Khoshgoftaar, and Q. Liang, "A Study of Software Metric Selection Techniques: stability Analysis and Defect Prediction Model Performance," International Journal on Artificial Intelligence Tools, Volume 22, Issue 05, October 2013.
  2. H. Wang, T. M. Khoshgoftaar, and A. Napolitano, "An Empirical Study on Wrapper-Based Feature Selection for Software Engineering Data," the 12th International Conference on Machine Learning and Applications (ICMLA 2013), volume 2, pages 84-89, Miami, Florida, USA, December 4-7, 2013.
  3. T. M. Khoshgoftaar, A. Fazelpour, H. Wang, and R. Wald, "A survey of stability analysis of feature subset selection techniques," In Proceedings of The 14th IEEE International Conference on Information Reuse and Integration (IRI 2013), pages 424-431, San Francisco, California, USA, August 14-16, 2013.
2012
  1. H. Wang, T. M. Khoshgoftaar, and A. Napolitano, "Software Measurement Data Reduction Using Ensemble Techniques with manuscript number," Neurocomputing, 92: 124-132 (2012).
  2. K. Gao, T. M. Khoshgoftaar, and H. Wang, "Exploring Filter-Based Feature Selection Techniques for Software Quality Classification," International Journal of Information and Decision Sciences, 4(2/3): 217-250 (2012).
  3. H. Wang, T. M. Khoshgoftaar, R. Wald, and A. Napolitano, "A Comparative Study on the Stability of Software Metric Selection Techniques," ICMLA (2) 2012: 301-307
2011
  1. H. Wang, T.M. Khoshgoftaar, J. Van Hulse, and K. Gao, "Metric Selection for Software Defect Prediction," The International Journal of Software Engineering and Knowledge Engineering, Volume 21, Issue 2, pages 237-257, March 2011.
  2. K. Gao, T. Khoshgoftaar, H. Wang, and N. Seliya, "Choosing Software Metrics for Defect Prediction: An Investigation on Feature Selection Techniques," Software: Practice and Experience, Volume 41, Issue 5, pages 579-606, April 2011.
  3. H. Wang, T. M. Khoshgoftaar, and N. Seliya, "How Many Software Metrics Should be Selected for Defect Prediction?" In Proceedings of The 24th Florida Artificial Intelligence Research Society Conference (FLAIRS-24), pages 69-74, Palm Beach, FL, May 18-20, 2011.
  4. H. Wang, T. M. Khoshgoftaar, and A. Napolitano, "An Empirical Study of Software Metrics Selection Using Support Vector Machine," In Proceedings of The 23rd International Conference on Software Engineering and Knowledge Engineering (SEKE 2011), pages 83-88, Miami, FL, July 7-9, 2011.
  5. H. Wang, T. M. Khoshgoftaar, and R. Wald, "Measuring Robustness of Feature Selection Techniques on Software Engineering Datasets," In Proceedings The 12th IEEE International Conference on Information Reuse and Integration (IRI 2011), pages 309-314, Las Vegas, Nevada, August 3-5, 2011.
  6. H. Wang and T. M. Khoshgoftaar, "Measuring Stability of Threshold-based Feature Selection Techniques," The 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2011), pages 986-993, Boca Raton, FL, November 7-9, 2011.
  7. D. Dittman, T. M. Khoshgoftaar, R. Wald and H. Wang, "Stability Analysis of Feature Ranking Techniques on Biological Datasets," the 2011 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2011), Atlanta, GA, November 12-15, 2011.
  8. H. Wang, T. M. Khoshgoftaar and Q. Liang, "Stability and Classification Performance of Feature Selection Techniques," the 10th International Conference on Machine Learning and Applications (ICMLA 2011), Honolulu Hawaii, December 18-21, 2011.
  9. H. Wang, T.M. Khoshgoftaar, J. Van Hulse. "A Comparative Evaluation of Feature Ranking Algorithms," International Journal of Granular Computing, Rough Sets and Intelligent Systems. In press.
2010
  1. H. Wang, T. M. Khoshgoftaar and J. Van Hulse, "A Comparative Study of Ensemble Feature Selection Techniques for Software Defect Prediction", The Ninth International Conference on Machine Learning and Applications (ICMLA 2010), pages 135-140, Washington DC, December 12-14, 2010.
  2. H. Wang, T. M. Khoshgoftaar, and J. Van Hulse, "A Comparative Study of Threshold-based Feature Selection Techniques", The 2010 IEEE International Conference on Granular Computing (Grc 2010), pages 499-504, Silicon Valley, USA, August 14-16, 2010. [pdf]
  3. H. Wang, T. M. Khoshgoftaar, and A. Napolitano, "A Novel Strategy for Enhancing Software Quality Models", The 16th ISSAT International Conference on Reliability and Quality in Design (ISSAT 2010), Washington D.C., August 5-7, 2010.
  4. T. M. Khoshgoftaar, L. A. Bullardand, K. Gao, and H. Wang, "A Hybrid Approach for Software Fault Prediction", The 16th ISSAT International Conference on Reliability and Quality in Design (ISSAT 2010), Washington D.C., August 5-7, 2010.
  5. H. Wang, T. M. Khoshgoftaar, and K. Gao, "A Comparative Study of Filter-based Feature Ranking Techniques", The 11th IEEE International Conference on Information Reuse and Integration (IRI 2010) (IEEE IRI 10), pages 43-48, Las Vegas, Nevada, August 4-6, 2010. [pdf]
  6. H. Wang, T. M. Khoshgoftaar, and K. Gao, "Ensemble Feature Selection Technique for Software Quality Classification", In Proceedings of 22nd International Conference on Software Engineering and Knowledge Engineering (SEKE 2010), pages 215-220, Redwood City, CA, July 1-3, 2010.
2009
  1. H. Wang, T. M. Khoshgoftaar, K. Gao and N. Seliya, "Mining Data from Multiple Software Development Projects", In Proceedings of The 9th IEEE International Conference on Data Mining - Workshops (IEEE ICDMW 09), pages 551-557, Miami, Florida, December 6-9, 2009. [pdf]
  2. H. Wang, T. M. Khoshgoftaar, K. Gao and N. Seliya, "High-Dimensional Software Engineering Data and Feature Selection", In Proceedings of 21st IEEE International Conference on Tools with Artificial Intelligence (IEEE ICTAI 09), pages 83-90, Newark, New Jersey, November 2-5, 2009. [pdf]
  3. K. Gao, T. M. Khoshgoftaar and H. Wang, "An Empirical Investigation of Filter Attribute Selection Techniques for Software Quality Classification", In Proceedings of 10th IEEE International Conference on Information Reuse and Integration (IEEE IRI 2009), pages 272-277, Las Vegas, Nevada, August 10-12, 2009. [pdf]
  4. P. Lin, H. Wang and T. M. Khoshgoftaar, "A Novel Hybrid Search Algorithm for Feature Selection", In Proceedings of 21st International Conference on Software Engineering and Knowledge Engineering (SEKE 2009), pages 81-86, Boston, MA, July 1-3, 2009.
  5. H. Wang, "Feature Selection for Large Scale Dataset", In Proceedings of 2009 International Conference on Artificial Intelligence and Pattern Recognition (AIPR-09), Orlando, Florida, July 13-16, 2009.

2008
  1. H. Wang, G. Xing and K. Chen, "Categorical Data Transformation Methods for Neural Networks", In Proceedings of the 2008 International Conference on Information and Knowledge Engineering, pages 262-266, Las Vegas, Nevada, July 2008
  2. G. Xing, Z. Xia and H. Wang, "Xdiff+: A Visualization System for XML Document and Schema", In Proceedings of 46th ACM Southeast Regional Conference, pages 40-45, Auburn, Alabama, March 2008.

2002-2007
  1. H. Wang, A. Parrish, R. Smith and S. Vrbsky, "Improved Variable and Value Ranking Techniques for Mining Categorical Data", Expert Systems of Applications, Vol. 29, No. 4, pages 795-806, December 2005.
  2. H. Wang and J. Zhang, "Performance Comparison of Location Areas and Reporting Centers under Individualized Mobility Models", International Journal of High Performance Computing and Networking, Vol. 3, Nos. 5/6, pages 405-416, 2005.
  3. H. Wang, A. Parrish, R. Smith and S. Vrbsky, "Strategies to Improve Variable Selection Performance," In Proceedings of the 2005 International Conference on Information and Knowledge Engineering, pages 209-214, Las Vegas, June 2005.
  4. H. Wang, A. Parrish, R. Smith and S. Vrbsky, "Variable Selection and Ranking for Analyzing Automobile Traffic Accident Data", In Proceedings of 20th Annual ACM Symposium on Applied Computing, pages 32-37, Santa Fe, New Mexico, March 2005.
  5. H. Wang, H. C. Chen and A. Parrish, "Automated Selection of Auto Crash Causes", In Proceedings of 42th ACM Southeast Regional Conference, pages 375-378, Huntsville, Alabama, April 2004.
  6. H. Wang, A. Parrish and H. C. Chen, "Automated Selection of Automobile Crash Countermeasures," In Proceedings of 41th ACM Southeast Regional Conference, Savannah, Georgia, March 2003.
  7. H. Wang, G. Fan and J. Zhang, "Performance Comparison of Location Areas and Reporting Centers under Aggregate Movement Behavior Mobility Models", In Proceedings of the 31th Annual International Conference on Parallel Processing (ICPP02), pages 445-454, Vancouver, Canada, August 2002.