Huanjing Wang photo Dr. Huanjing Wang
Associate Professor
Department of Computer Science
Western Kentucky University
1906 College Heights Blvd. #11076
Bowling Green, KY 42101-1076
Office: COHH 3101
Phone: 270-745-2672
Fax: 270-745-3699
Email: huanjing.wang@wku.edu
 
Referred Publications


2012
  1. H. Wang, T. M. Khoshgoftaar, Randall Wald, and Amri Napolitano, "A Novel Dataset-similarity-aware Approach for Evaluating Stability of Software Metric Selection Techniques," In Proceedings The 13th IEEE International Conference on Information Reuse and Integration (IRI 2012), pages 1-8, Las Vegas, Nevada, August 8-10, 2012.
  2. H. Wang, T. M. Khoshgoftaar, Randall Wald, and Amri Napolitano, "An Empirical Study of Software Metric Selection Techniques for Defect Prediction," In Proceedings The 24th International Conference on Software Engineering and Knowledge Engineering (SEKE 2012), Redwood City, California, July 1-3, 2012.
  3. H. Wang, T. M. Khoshgoftaar, and A. Napolitano, "Software Measurement Data Reduction Using Ensemble Techniques with manuscript number," Neurocomputing, 92: 124-132 (2012).
  4. 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).
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.