Publications

Publications/Presentations

  1. C. Li, T. Tsahai, "A Study of Skeletal-Based Image Processing Technique For CNN-Based Image Classification", presented in the 10th International Congress of Industrial and Applied Mathematics(ICIAM), Tokyo, Japan, Aug 20-25th, 2023.
  2. M. Chowdhury, C. Li, and K. Poudel, "Combining Deep Learning with Traditional Machine Learning to Improve Phonocardiography Classification Accuracy", in the Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium, Dec, 2021.
  3. L. Miao, C. Li, "Engaging Minority and Underrepresented Engineering Students to Fight "Sophomore Slump" Through a Summer Research and Enrichment Program (Research)". 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. https://strategy.asee.org/37046. July 2021.
  4. L. Miao, T. Karim, T. Hussain, C. Li, "TNT Board: An Interactive Electronic Board Game". 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. https://peer.asee.org/37911, July 2021.
  5. C. Li, M. Hains, J. Wallin, Q. Wu, "Applying Data Science Methods for Early Prediction of Undergraduate Student Retention", in the proceedings of the 2019 International Conference on Computational Sciences and Computational Intelligence(CSCI'19: 5-7, December 2019, Las Vegas, Nevada, USA.); pp: 1337-1340, Publisher: IEEE Computer Society. ISBN-13: 978-1-7281-5584-5.
  6. C. Li, E. Imeokparia, M. Ketzner, and T. Tsahai, "Teaching the NAO Robot to Play a Human-Robot Interactive Game", in the proceedings of the 2019 International Conference on Computational Sciences and Computational Intelligence(CSCI'19: 5-7, December 2019, Las Vegas, Nevada, USA.); pp: 712-715, Publisher: IEEE Computer Society. ISBN-13: 978-1-7281-5584-5.
  7. S. Pitigala and C. Li, "Classification based Filtering for Personalized Information Retrieval", in the Proceedings of the 14th International Conference on Information and Knowledge Engineering. pp 125-131. July 2015.
  8. S. Pitigala and C. Li, "Extending PubMed Related Article (PMRA) for Multiple Citations", in Advances in Data Mining, Applications and Theorectical Aspects, Lecture Notes in Computer Science series, Vol 8557, pp 55-69, 2014.
  9. C. Li, Z.J. Dong, R. Untch, and M. Chasteen, "Engaging Computer Science Students through Gamification in an Online Social Network based Collaborative Learning Environment", in the International Journal of Information and Education Technology, pp. 72-77, Vol(3), Num(1), Feb 2013.
  10. C. Li, Z.J. Dong, R. Untch, and D. Jagadeesh, "Developing an Interactive Practice Tool In PeerSpace for First Year Computer Science Students", in the International Journal of Information and Education Technology, pp. 48-53, Vol(3), Num(1), Feb 2013.
  11. C. Li, Z.J. Dong, R. Untch, and M. Chasteen, "Facilitating Peer Review in an Online Collaborative Learning Environment for Computer Science Students", in the Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering. pp. 183-189. July 2012.
  12. S. Pitigala, C. Li, and S. Seo, "A Comparative Study of Text Classification Approaches for Personalized Retrieval in PubMed", in the Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, pp. 919-921, Atlanta, GA. Nov 12-15th, 2011.
  13. B. Stratman, S. Mahadevan, C. Li, and G. Biswas, "Identification of Critical Inspection Samples Among Railroad Wheels by Similarity-based Agglomerative Clustering", in the Journal of Integrated Computer-Aided Engineering, Vol(18) pp 203-219, 2011.
  14. C. Li, Z.J. Dong, R. Untch, M. Chasteen, N. Reale, "PeerSpace -- An Online Collaborative Learning Environment for Computer Science Students", in the proceedings of the 11th IEEE International Conference on Advanced Learning Technologies, pp. 409-412, Athens, GA, July 6-8th, 2011.
  15. C. Li, Z.J. Dong, R. Untch, N. Reale, M. Chasteen, "Developing An Online Peer Learning Environment for Computer Science Students", in the proceedings of the 9th International Conference on Computer Supported Collaborative Learning, pp. 696-701, Hong Kong, China, July 6-8th, 2011.
  16. J.T. Dong and C. Li, "A Comparative Study of the Classification Techniques in Isolated Mandarin Syllable Tone Recognition", in the Proceedings of the 28th ACM Southeast Conference, pp. 263-268, Kennesaw, GA, March 24-26th, 2011.
  17. Z.J. Dong, C. Li, R. Untch, "Building Peer Support Network for CS2 Students", in the proceedings of the 28th ACM Southeast Conference, pp. 42-47, Kennesaw, GA, March 24-26th, 2011.
  18. C. Li, Z.J. Dong, R. Untch, D. Jagadeesh, "Preparation Station: A Practice Tool Developed Based on The Elgg Social Network Engine", in the Proceedings of the 28th ACM Southeast Conference, pp 322-323, Kennesaw, GA, March 24-26th, 2011.
  19. C. Li, S. Pitigala, S.J. Seo, "Identifying Training Sets for Personalized Article Retrieval System", in the Proceedings of the 28th ACM Southeast Conference, pp. 350-351, Kennesaw, GA, March 24-26th, 2011.
  20. C. Li, "From LEGO Robotics Summer Camp Projects to CS1 KAREL Assignments", talk abstract included in the Proceedings of the Mid SouthEast ACM Conference. Gatlinburg TN, Nov 2010.
  21. C. Li, S, Seo, and R. Butler, Hunting for Truly Relevant Articles in Bioinformatics Literature -- A Preliminary Study, (link) in the Proceedings of the ACM International Conference on Bioinformatics and Computational Biology. 481-483, Niagara Falls, NY, Aug 2010.
  22. R. Detmer, C. Li, Z.J. Dong, and J. Hankins, "Incorporating Real-World Projects in Teaching Computer Science Courses", (link) in the Proceedings of the 48th ACM Southeast Conference, Oxford, MS, April 2010.
  23. C. Li, Z.J. Dong, R. Untch, "Promote Peer Learning in a Social Network Environment -- A Preliminary Study", Instructional Tech Conference, Murfreesboro, TN, March 30th, 2009.
  24. J. Leblond, A. Lasiter, C. Li, R. Logares, K. Rengefors, T. J. Evens, "A Data Mining Approach to Dinoflagellate Clustering According to Sterol Composition: Correlations with Evolutionary History", in the International Journal of Data Mining in Bioinformatics (IJDMB), Volume 4, Number 4, (link), pp. 431-451, 2010.
  25. C. Li, B. Bodkin, and J. Lancaster, "Programming Khepera II Robot for Autonomous Navigation and Exploration using the Hybrid Architecture", in the Proceedings of the ACM Southeast Conference, Clemson University, article 31 ( link) Clemson, SC, March 19-21, 2009.
  26. C. Gray, A. Lasiter, C. Li, J. Leblond, "Mono- and Digalactosyldiacylglycerol Composition of Dinoflagellates. I. Peridinin-Containing Taxa", European Journal of Phycology, Volume 44, Issue 2, pages 191-197, (link), May 2009.
  27. J. Leblond, A.D. Lasiter, C. Li, R. Logares, K. Rengefors, and T.J. Evens, "Applying Clustering and Phylogeny Analysis to Study Dinoflagellates based on Sterol Composition", (link), in the Proceedings of the IEEE International Conference in Bioinformatics and Biomedicine. pp. 90-97, Philadelphia, PA, Nov 3-5th, 2008.
  28. C. Li and J. Leblond, "A Study of the Sterol Compositions in Dinoflagellates Using Cluster Validation", talk abstract included in the Proceedings of the Mid SouthEast ACM Conference. Gatlinburg TN, Nov 2007.
  29. C. Li, "Classifying Imbalanced Data Using A Bagging Ensemble Variation", (link) in the Proceedings of the ACMSE 2007: The 45th ACM Southeast Conference, pp. 203-208, Winston-Salem, North Carolina, March 23-24th, 2007.
  30. C. Li, Stratman, B., and Mahadevan, S., "Improving Railroad Wheel Inspection Planning using Classification Methods", (link) in the Proceedings of the ISTED International Conference on Artificial Intelligence and Applications, pp. 366-371, Innsbruck, Austria, Feb 12-14th, 2007.
  31. C. Li, "Extending the 'Bagging' Ensemble Approach for Classifying Highly Skewed Data", talk abstract included in the Annual Conference of the Mid-Southeast Chapter of the ACM, Gatlinburg, TN, Nov 16-17th, 2006. Paper abstract included in the conference proceedings.
  32. C. Li and J. Yoo, "Modeling Student Online Learning using Clustering", (link) in the proceedings of the 44th ACM Southeast Conference, pp 146-151. Melbourne, FL, March 10-12th, 2006.
  33. J. Yoo, C. Pettey, S. Yoo, J. Hankins, C. Li, and S. Seo, "Intelligent Tutoring System for CS-I and II Laboratory", (link) in the proceedings of the 44th ACM Southeast Conference, pp 186-191. Melbourne, FL, March 10-12th, 2006.
  34. C. Li and J.Yoo, "A Study of the effects of Bias in Criterion Functions for Temporal Data Clustering", in the Proceedings of the 43rd ACM Southeast Conference, pp 85-89. Kennesaw, Georgia, March 18-20, 2005.
  35. J. Yoo, C. Li, and C. Pettey, "Adaptive Teaching Strategy for Online Learning", in the proceedings of the International Conference on User Interface, 266-268. San Diego, CA, Jan 2005.
  36. Li, C. and Yoo, J., "An Empirical Study of the Importance of Ordering Relation in Temporal Sequence Analysis", talk abstract included in the Annual Conference of the Mid-Southeast Chapter of the ACM, Gatlinburg, TN, Nov, 2004. Paper abstract included in the conference proceedings.
  37. A. Wisitora-at, W.P. Kang, J.L. Davidson, C. Li, D.V. Kerns, and M. Howell, "Modeling of the Transistor Characteristics of a Monolithic Diamond Vacuum Triode", in the Journal of Vaccum Science Technology, B 21(4), page 1665-1670, Aug 2003.
  38. Li, C, "Developing HMM Based Approach for Dynamic System Forecasting", talk abstract included in the Annual Conference of the Mid-Southeast Chapter of the ACM, Gatlinburg, TN, November 13-14th, 2003. Paper abstract included in the conference proceedings.
  39. C. Li and G. Biswas, M. Dale, and P. Dale, "Matryoshka: A HMM Based Temporal Data Clustering Methodology for Modeling System Dynamics", (paper abstract), Intelligent Data Analysis, Volume 6, Number 3, page 281-308, 2002.
  40. C. Li and G. Biswas, "A Bayesian Approach for Learning Hidden Markov Models from Data", (paper abstract), in the special issue on Markov Chain and Hidden Markov Models, Scientific Programming, Volume 10, Number 3, pp 201-219, 2002.
  41. M. Dale, P. Dale, C. Li, and G. Biswas, "Assessing Impacts of Small Perturbations using a Model-based Approach", (abstract)Ecological Modelling, Volume 156, issue 2-3, page 185-199, November, 2002.
  42. C. Li and G. Biswas, "Applying the Hidden Markov Model Methodology for Unsupervised Learning of Temporal Data", in the International Journal of Knowledge-based Intelligent Engineering Systems, M. Aladjem and F. Steimann, editors, Volume 6, Number 3, page 152-160, July, 2002.
  43. C. Li and G. Biswas, "Unsupervised Learning with Numeric and Nominal Mixed Data", (abstract) , in the IEEE Transactions on Knowledge and Data Engineering, Volume 14, Number 4, page 673-690. July/August, 2002.
  44. C. Li and G. Biswas, M. Dale, and P. Dale, "Building Models of Ecological Dynamics using HMM based Temporal Data Clustering" (abstract), in Advances in Intelligent Data Analysis, the Fourth International Conference on Intelligent Data Analysis, Lecture Notes in Computer Science Series, Vol 2189, Springer, pp. 53-62, 2001.
  45. C. Li and G. Biswas, "Applying the Hidden Markov Model Methodology for Unsupervised Learning of Temporal Data", in proceedings of the "Second International ICSC Symposium on Advances in Intelligent data Analysis (AIDA'2001)", invited paper, Bangor, Wales, United Kingdom, June 19-22, 2001
  46. C. Li and G. Biswas, "Improving HMM clustering with Bayesian Model selection", in proceedings of the "IEEE International conference on systems, man, and cybernetics 2000", Nashville, Oct 2000.
  47. C. Li and G. Biswas, "Bayesian Clustering for Temporal Data using Hidden Markov Model Representation", in proceedings of the "Seventeenth International Conference on Machine Learning", page 543-550, Stanford University, June 29 - July 2nd, 2000.
  48. C. Li and G. Biswas, "Temporal Behavior Profiling using Hidden Markov Model based Unsupervised Classification", (abstract) in Advances in Intelligence in Data Analysis, Lecture Notes in Computer Science, Vol. 1642, page 245-256, edited by D. Hand, J. Kok, and M. Berthold. New York, NY: Springer, 1999.
  49. C. Li, "Dynamic System Behavior Profiling using Combination of Supervised and Unsupervised Classifications", in Proceedings of the Sixteenth National Conference on Artificial Intelligence, Orlando, FL, July 18-22, 1999.
  50. C. Li and G. Biswas, "Profiling of Dynamic System Behaviors using Hidden Markov Model Representation", in the Proceedings of the ICSC'99 Advances in Intelligent Data Analysis(AIDA'99), Rochester, NY, June 22-25, 1999.
  51. C. Li and G. Biswas, "Clustering Sequence Data using Hidden Markov Model Representation", in the SPIE'99 Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology, page 14-21, Orlando, FL, April 4-6,1999.
  52. L. Frey, C. Li, D. Talbert, D. Fisher, "A Review of the Fourteenth International Conference on Machine Learning", in Intelligent Data Analysis, Volume 2, Number 3, page 245-256, 1998.
  53. C. Li and G. Biswas, "Clustering with Mixed Numeric and Nominal Data", in Proceedings of the First Asian Pacific Conference on Knowledge Discovery from Databases, pp. 35-61, Singapore, February, 1997.
  54. C. Li and G. Biswas, "Clustering with Numeric and Nominal Mixed Data -- A New Similarity Based Agglomerative System", in Working Notes of the Sixth International Workshop on AI and Statistics, pp.327- 346, Ft. Lauderdale, FL, January, 1997.
  55. G. Biswas, J. Weinberg, C. Li, "ITERATE: A Conceptual Clustering Method for Knowledge Discovery in Databases", in Artificial Intelligence in the Petroleum Industry, Ch 3, pp.111-139, B.Braunschweig and R. Day, Editors. Editions Technip, 1995.
  56. C. Li and G. Biswas, "Knowledge-based Scientific Discovery from Geological Databases", in Proceedings of the First International Conference on Knowledge Discovery & Data Mining, pp.204- 209, Montreal, Canada, August, 1995.
  57. C. Li and G. Biswas, "A Framework for Scientific Discovery in Geological Databases", in Working notes of AAAI Spring Symposium Series on Systematic Scientific Discovery, pp.145-150, Stanford University, Palo Alto, CA, March, 1995.

Dissertation

Master Paper

Technical Reports