Publications

Peer Reviewed Journal and Conference Papers

1. Juan F. Ramirez Rochac, Lily R. Liang, Nian Zhang and Timothy Oladunni, A Gaussian Data Augmentation Technique on Highly Dimensional, Limited Labeled Data for Multiclass Classification using Deep Learning, to appear in Proc. of the Tenth International Conference on Intelligent Control and Information Processing (ICICIP 2019), Marrakesh, Morocco, December 14-19, 2019.

2. Tolessa Deksissa, Lily R. Liang, Pradeep Behera and Suzan Harkness. “Fostering Significant Learning in Sciences,” International Journal for the Scholarship of Teaching and Learning, Vol. 8, No. 2, 2014.

3. Sherali Zeadally, Byunggu Yu, Dong Jeong, Lily R. Liang, “Detecting Insider Threats: Solutions and Trends,” Information Security Journal: A Global Perspective, Vol. 21, No.4, pp. 183-192, June, 2012.

4. Anthony Benites and Lily R. Liang, “Cloud-Computing-based Parallel Genetic Algorithm for Gene Microarray Data Analysis,” in Proc. of International Conference on Tools with Artificial Intelligence (ICTAI), Nov. 7-9, 2011, Boca Raton, FL, USA, pp. 932 – 933.

5. Lily R. Liang, Carl G. Looney and Vinay Mandal, “Fuzzy-Inferenced Decisionmaking under Uncertainty and Incompleteness,” International Journal of Applied Soft Computing, Vol. 11, No. 4, pp. 3534–3545, June, 2011.

6. Zhao Lu, Lily R. Liang , Gangbing Song, Shufang Wang, “Polychotomous kernel Fisher discriminant via top-down induction of binary tree”, Computers and Mathematics with Applications, Vol. 60, No. 3, pp.511-519, Aug., 2010.

7. Juan F Ramirez Rochac, Lily R. Liang, Byunggu Yu, Zhao Lu, “An Adaptive Fuzzy Classifier Approach to Edge Detection in Latent Fingerprint Images,” in Proc. 22nd International Conference on Tools with Artificial Intelligence, Arras, France, October 27-29, 2010, pp.178 – 185.

8. Rommel A. Benites Palomino, Lily R. Liang, Zhao Lu, Vinay Mandal, Deepak Kumar, “Identifying Significant Genes with FM/CM-GA,” in Proc. 11th International Conference on Mathematical and Computational Methods in Science and Engineering (MACMESE'09), Baltimore, MD, November 7-9, 2009, pp. 236-240.

9. Yi Lu, Lily R. Liang, “Identify Feature Association on Categorical Data through Hierarchical Clustering,” International Journal of Electronics and Computer Science (IJECS), Vol.10, No.2, pp. 61-69, Dec. 2008.

10. Yi Lu, Lily R. Liang, “Hierarchical Clustering of Features on Categorical Data for Biomedical Applications,” in Proc. 21st international conference on Computer Applications in Industry and Engineering (CAINE 2008), Honolulu, HI, November 12-14, 2008, pp. 26-31.

11. Lily R. Liang, Vinay Mandal, Yi Lu and Deepak Kumar, “MCM-test: a fuzzy-set-theory-based approach to differential analysis of gene pathway,” BMC Bioinformatics, 2008, 9(Suppl 6): S16, May 2008.

12. Lily R. Liang, Vinay Mandal, Yi Lu and Deepak Kumar, “Multi-dimensional Cluster Misclassification Test for Pathway Differential Analysis of Diabetes,” in Proc. International Multi-Symposiums on Computer and Computational Sciences 2007, Iowa City, IA, August 12-15, 2007, pp. 84 - 91.

13. Xubo Fei, Shiyong Lu, Horia F. Pop, and Lily R. Liang, “GFBA: A Biclustering Algorithm for Discovering Value-Coherent Biclusters,” in Proc. of the International 3rd Symposium on Bioinformatics Research and Applications (ISBRA’2007), Atlanta, GA, May 7-10, 2007.

14. Lily R. Liang, Shiyong Lu, Xuena Wang, Yi Lu, Vinay Mandal, Dorrelyn Patacsil, Deepak Kumar, “FM-test: A Fuzzy-Set-Theory-Based Approach to Differential Gene Expression Data Analysis,” International journal of BMC Bioinformatics 2006, 7 (Suppl 4): S7, Dec., 2006.

15. Lily R. Liang, Shiyong Lu, Yi Lu, Puneet Dhawan, and Deepak Kumar, “CM-test: An Innovative Divergence Measurement and Its Application in Diabetes Gene Expression Data Analysis,” in Proc. 2006 IEEE International Conference on Granular Computing, Atlanta, GA, May 2006, pp. 262 - 268.

16. Yi Lu, Shiyong Lu, Lily R. Liang, and Deepak Kumar, “FM-test: A Fuzzy Set Theory Based Approach for the Identification of Diabetes Genes,” in Proc. Symposium of Computations in Bioinformatics and Bioscience (SCBB06), Zhejiang, P.R. China., 2006, pp. 48-55.

17. Yi Lu, Shiyong Lu, Farshad Fotouhi, Yan Sun, Zijiang Yang, and Lily R. Liang, “PDC: Pattern Discovery with Confidence in DNA Sequences,” in Proc. of the IASTED International Conference on Advances in Computer Science and Technology, Puerto Vallarta, Mexico, 2006, pp.345-350.

18. Chunxia Zhang, Shiyong Lu and Lily R. Liang, “MetaFinder: a Meta-Search Engine with an Open Architecture,” in Proc. of the 20th International Conference on Computers and Their Applicaitons (CATA’2005), New Orleans, LA, March 2005, pp 80-89.

19. Lily R. Liang and Carl G. Looney, "Decisionmaking with Fuzzy-Belief-State-Based Reasoning," IEEE International Conference on Information Reuse and Integration (IEEE IRI-2004), Las Vegas, NV, Nov. 2004, pp 553 - 558.

20. Chang-Tien Lu and Lily R. Liang, "Wavelet Fuzzy Classification for Detecting and Tracking Region Outliers in Meteorological Data Stream," in Proc. the 12th ACM International Workshop on Geographic Information Systems (ACM GIS 2004), Washington, DC, Nov., 2004, pp. 258-265.

21. Seema Nambiar, Chang-Tien Lu and Lily R. Liang, "Analysis of Payment Transaction Security in Mobile Commerce," IEEE International Conference on Information Reuse and Integration (IEEE IRI-2004), Las Vegas, NV, Nov.2004, pp.475-480 .

22. *Lily R. Liang, Carl G. Looney, “Competitive Fuzzy Edge Detection,” International Journal of Applied Soft Computing, Vol. 3, No. 2, pp. 123-137, Sep., 2003.

23. *Carl G. Looney, Lily R. Liang, “Cognitive Situation and Threat Assessment of Ground Battlespaces,” International Journal of Information Fusion, 2003, Vol.4, No.4, pp. 297-308, Dec., 2003.

24. *Carl G. Looney, Lily R. Liang, “Inference via Fuzzy Belief Petri Nets,” in Proc. of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI’2003), Sacramento, CA, Nov., 2003, pp. 510--514.

25. *Lily R. Liang and Carl G. Looney, “Image Fusion with Spatial Frequency,” in Proc. of the ISCA 15th International Conference on Computer Applications in Industry and Engineering (CAINE’2002), San Diego, CA, Nov., 2002, pp. 98--100.

26. *Carl G. Looney and Lily R. Liang, “Inference via Fuzzy Belief Networks,” in Proc. of the ISCA 15th International Conference on Computer Applications in Industry and Engineering (CAINE’2002), San Diego, CA, Nov., 2002, pp. 25--28.

27. *Lily R. Liang and Carl G. Looney, “Competitive Fuzzy Classifier Image Edge Detection”, in Proc. of the ISCA 17th International Conference on Computers and Their Applications (CATA’2002), San Francisco, CA, USA, April, 2002, pp. 140-143.

28. *Carl G. Looney and Lily R. Liang, “Battlespace Situation Assessment via Clustering and Case-base Reasoning,” in Proc. of the ISCA 17th International Conference on Computers and Their Applications (CATA’2002), San Francisco, CA, USA, April 2002, pp. 172-175.

29. *Lily R. Liang, Ernesto Bassalo and Carl G. Looney, “Image Edge Detection with Fuzzy Classifier," in Proc. of the ISCA 14th International Conference on Computer Applications In Industry and Engineering (CAINE’2001), Las Vegas, NV, USA, Nov., 2001, pp. 279-282.

Book chapters

  1. Lily R. Liang, Rommel A. Benites Palomino, Zhao Lu, Vinay Mandal, Deepak Kumar, “FM-GA and CM-GA for Gene Microarray Analysis,” in Advances in Computational Biology, Springer, 2010, pp. 199-204.

2. Xubo Fei, Shiyong Lu, Horia F. Pop, and Lily R. Liang, “GFBA: A Biclustering Algorithm for Discovering Value-Coherent Biclusters”, Lecture Notes in Computer Science, Vol. 4463, Springer, 2007, pp 1-12.

Scholarly Article

· Lily Liang, Dong Jeong, Briana Wellman, David Barnett, Chen Li and Byunggu Yu, “Academic Advising Records on GoogleDrive: Sharing, Accuracy and Accessibility,” Academic Advising Today, September 2014, Vol. 37:3, Published by National Academic Advising Association (NACADA).

Conference Presentations

1. Lily Liang, Jeffrey Enamorado, Yanxia Jia, Briana Wellman, “Integrating Fashion into Robotics for Broadening Participation,” Poster Presentation at the annual conference of Consortium for Computing Sciences in Colleges Eastern Region (CCSC Eastern), October 25-26, 2019, Robert Morris University in Moon Township, Pennsylvania. Abstract is included in The Journal of Computing Sciences in Colleges, Vol. 34, No. 3.

2. Lily Liang, Jeffrey Enamorado, Yanxia Jia, "Robotics with Fashion for Broadening Participation in Computing," Poster Presentation at "Braches of the Same Tree: A National Convening on the Integration of Arts, Humanities, and STEMM in Higher Education," National Academy of Sciences, Washington, D.C., April 12th, 2019.

3. Lily R. Liang, “Motivating Students with Classroom Honor Roll,” 2018 ASEE Mid-Atlantic Spring Conference, Washington, D.C., April 6, 2018

4. Tolessa Deksissa, Jon Cooper, Pradeep Behera, Lily R. Liang and Suzan Harknes, “Integrating Sustainability and Liberal Educations: Climate Change Solution,” poster, NCSE’s 14th National Conference and Global Forum on Science, Policy, and the Environment: Building Climate Solutions, Washington, D.C., Jan 28-30, 2014.

5. Pradeep K Behera, Tolessa Deksissa, Lily R. Liang, and Suzan Harkness, “Infusion of Sustainability Concepts to Civil Engineering Courses at UDC,” ASEE-2013 Mid-Atlantic Fall Conference: Knowledge, Competencies and Skills in Engineering Education, Washington, D.C., Oct., 11-12, 2013.

6. Tolessa Deksissa, Lily R. Liang, Pradeep Behera and Suzan Harkness, “Effect of problem-based learning on fostering significant learning in sciences,” 32nd Annual NABG Conference, Houston, 2013.

7. Tolessa Deksissa, Pradeep Behera, Lily R. Liang, and Suzan Harkness, “Attracting and Preparing Underrepresented Minority Students in Science and Engineering,” NABG conference, Arlington, VA, Sep 5- 8, 2012.

8. Lily R. Liang, “Learner-centered Teaching Scheme: Research-Present-Propose-Develop,” poster, National Academy of Engineering (NAE) Frontiers of Engineering Education Conference (FOEE), Nov., 2011, CA,

9. Byunggu Yu, Feodor Vainstein, Lily R. Liang, et. al. “DC-TAMUT-BMSTU Joint Effort for Engineering Higher Education and Research in the U.S. and Russia,” International Theoretical & Practical Seminar: Development of Research-Educational Collaboration between Russian and U.S. Universities in the Field of Engineering, Bauman Moscow State Technical University, Russia, Oct., 2008.