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  1. Y. Chen, Q. Zheng, P. Chen, A Set Space Model for Feature Calculus, to appear in IEEE Intelligent Systems.
  2. Carl Tony Fakhry, Choudhary, Parul, Gutteridge, Alex, Sidders, Ben, Chen, Ping, Ziemek, Daniel and Kourosh Zarringhalam. Interpreting transcriptional changes using causal graphs: new methods and their practical utility on public networks. BMC Bioinformatics, 17 (1), 2016.
  3. Ji-Peng Qiang, Ping Chen, Wei Ding, Fei Xie, Xindong Wu, Multi-document Summarization using Closed Patterns, Journal of Knowledge-based Systems, Volume 99, 1 May 2016, Pages 28–38.
  4. C. Yu, W. Ding, P. Chen, M. Morabito, Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 28, no. 4, pp. 979-993, April 1 2016.
  5. T. Wang, P. Chen, D. Simovici, A New Evaluation Measure Using Compression Dissimilarity on Text Summarization, Applied Intelligence, pp 1-8, January 2016.
  6. Y. Chen, Q. Zheng, P. Chen, A Boundary Assembling Method for Chinese Entity Mention Recognition, IEEE Intelligent Systems, No. 30 page 50-58, Nov./Dec. 2015.
  7. Z. Zhang, Y. Liu, W. Ding, W. Huang, Q. Su, P. Chen, Proposing a New Friend Recommendation Method, FRUTAI, to Enhance Social Media Providers' Performance, Decision Support Systems, 79, C (November 2015), 46-54.
  8. Y. Chen, Q. Zheng, P. Chen, Feature Assembly Method for Extracting Relations in Chinese, Artificial Intelligence Journal, Volume 228, November 2015, Pages 179–194.
  9. D. Simovici, P. Chen, T. Wang, D. Pletea, Compression and Data Mining, Journal of Communication, Volume 10, No. 9, September 2015.
  10. Guoqing J. Chen, Jennifer Arney, Ashley Helm, Ursula Braun, Peter Richardson, P. Chen, Hong-Jen Yu, and Teresa G. Hayes, Genomic-based targeted therapy and management of advanced non-small cell lung cancer: Protocol for a qualitative study of oncologists' perceptions and behaviors regarding genomic-based targeted therapy, Journal of Solid Tumors, Vol 5, No 1, 2015.
  11. Yu Cao, Shawn Steffey, Jianbiao He, Degui Xiao, Cui Tao , P. Chen, Henning Müller, Medical Image Retrieval: A Multi-modal Approach, Cancer Informatics, 2015:7:125-136.
  12. D. Wang, W. Ding, H. Lo, M. Morabito, P. Chen, Understanding the Spatial Distribution of Crime Based on Its Related Variables Using Geospatial Discriminative Patterns, Computers, Environment and Urban Systems, Volume 39, May 2013, Pages 93–106.
  13. P. Chen, D. Hinote*, G. Chen, A Rule Based Solution to Co-reference Resolution in Clinical Text, Journal of the American Medical Informatics Association, 2013;20:891-897.
  14. P. Chen, W. Ding, M. Choly*, C. Bowes*, Word Sense Disambiguation with Automatically Acquired Knowledge, IEEE Intelligent System, Volume: 27, Issue: 4 Page(s): 46 – 55, 2012.
  15. R. Verma, P. Chen, A Data Mining Hypertextbook: Design, Implementation and Experience, Journal of Computing Sciences in Colleges, Vol. 27, Number 3 January 2012.
  16. P. Chen, W. Ding, W. Garcia*, Adaptive Study Design through Semantic Association Rule Analysis, International Journal of Software Science and Computational Intelligence, Vol. 2, No. 3., 2011, page 34-48.
  17. P. Chen, I. Chen, R. Verma, Designing an undergraduate data mining course by matching teaching strategies with student learning styles, Journal of Computing Sciences in Colleges, Volume 26 Issue 4, April 2011.
  18. Y. Wang, W. Pedrycz, G. Baciu, P. Chen, G. Wang, Y. Yao, Perspectives on Cognitive Computing and Applications, International Journal of Software Science and Computational Intelligence, Vol. 2, No. 4., 2010, page 32-44
  19. P. Chen, I. Chen, R. Verma, Improving an Undergraduate Data Mining Course with Real-world Projects, Journal of Computing Sciences in Colleges, 25, 4 (Apr. 2010), 62-67.
  20. H. Lin, O. Sirisaengtaksin, P. Chen, A Cluster Computing Environment at a Small Institution to Support Faculty/Student Projects, Journal of Computing Sciences in Colleges, 25, 4 (Apr. 2010), 30-36.
  21. P. Chen, W. Ding, C. Ding, A Lexical Knowledge Representation Model for Natural Language Understanding. International Journal of Software Science and Computational Intelligence, Vol. 1, No. 4, Page 17 – 35, 2009
  22. H. Al-Mubaid, P. Chen, Application of Word Prediction and Disambiguation to Improve Text Entry for People with Physical Disabilities, International Journal of Social and Humanistic Computing, ISSN: 1752-6124, Vol.1 No.1, Page 10 – 27, 2008.
  23. A. de Korvin, P. Chen, J. Yoon, Information Retrieval Using Relevance Vectors: A Soft Computing Approach, International Journal of Pure and Applied Mathematics, Volume 44, No. 1, 2008, 51-62.
  24. K. Yue, T. A. Yang, W. Ding, P. Chen, Open Courseware and Computer Science Education, Journal of Computing Sciences in Colleges. Vol. 20, Issue 1. October 2004.
  25. T. Yang, K. Yue, M. Liaw, G. Collins, J. Venkatraman, S. Achar, K. Sadasivam, P. Chen, Design of Distributed Computer Security Lab, Journal of Computing Sciences in Colleges. Volume 20, Issue 1. October 2004.
  26. E. Deeba, A. de Korvin, P. Chen, Generating and applying rules for web documents retrieval, Far East Journal of Applied Mathematics, vol. 16(3)(2004) P249 - 272.
  27. H. Lynn, P. Chen, C. Hu, Y. Simon, High-dimensionality 3D seismic data visualization and interpretation: Simultaneous interpretation of nine co-rendered volumes, the Canadian Society of Exploration Geophysicists Recorder, Page 28-33, June 2003.
  28. D. Barbara, P. Chen, Using self-similarity to cluster large data sets, Journal of Knowledge Discovery and Data Mining, 7, Page 123 – 152, 2003.
  29. P. Chen, D. Barbara, Fractal Clustering, Lambert Academic Publishing, 2010, ISBN: 978-3-8433-6212-2 (Ph.D Dissertation).
  30. W. Ding, P. Chen, An Interactive Visualization Model for Large High-dimensional Datasets: A Case Study, a book chapter in Data Engineering: Mining, Information, and Intelligence. Editors: Yupo Chan, John Talburt, Terry Talley. Springer, 2009, ISBN: 978-1-4419-0175-0.
  31. D. Barbara, P. Chen, Fractal Mining, in Data Mining and Knowledge Discovery Handbook: A Complete Guide for Practitioners and Researchers, published by Kluwer Academic Publishers, Page 627-647, 2004.
  32. P. Chen, W. Ding, Knowledge Management for Agent-Based Tutoring Systems in Designing Distributed Learning Environments: With Intelligent Software Agents, Editor Fuhua Oscar Lin, Page 146-161, published by Idea Group, 2004.
  33. J. Qiang, P. Chen, T. Wang, X. Wu, Topic Modeling over Short Texts by Incorporating Word Embeddings, PAKDD 2017.
  34. Soussan Djamasbi, Mina Shojaeizadeh, Ping Chen, John Rochford, Text Simplification and Pupillometry, HCI International 2017, Vancouver, Canada, 7/2017
  35. Mina Shojaeizadeh, Ping Chen, John Rochford, Soussan Djamasbi, Text Simplification and Generation Y: an Eye Tracking Study, Poster, SIGHCI workshop at International Conference of Information Systems (ICIS) 2016, Dublin, Ireland. December 11-14, 2016
  36. J. Qiang, P. Chen, W. Ding, T. Wang, F. Xie, X. Wu Topic Discovery from Heterogeneous Texts, The 28th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2016), San Jose, CA, Nov. 2016
  37. P. Chen, J. Rochford, D. Kennedy, S. Djamasbi, P. Fay, W. Scott, Automatic Text Simplification for People with Intellectual Disabilities, International Conference on Artificial Intelligence Science and Technology, July 2016. Shanghai, China.
  38. J. Li, W. Huang, P. Chen, A Comprehensive Literature Review on Big Data in Healthcare, the 22nd Americas Conference on Information Systems, San Diego, CA. August 11 - 13, 2016
  39. Carl Tony Fakhry, Kourosh Zarringhalam, P. Chen, Biomedical Relation Extraction Using Stochastic Difference Equations, 2015 IEEE High Performance Extreme Computing Conference(HPEC ’15), September 2015, Waltham, MA
  40. Q. Xia, X. Zhao, W. Huang, P. Chen, Cloud Computing platform Based Chinese Network Opinion Monitoring on Flu Trend, The Second International Conference on Data Science (ICDS), Sydney, Australia, August 8-9, 2015
  41. J. Li, W. Huang, P. Chen, LDA Based Event Extraction: Detecting Influenza Epidemics Using Microblog, The Second International Conference on Data Science (ICDS), Sydney, Australia, August 8-9, 2015
  42. T. Wang, Vish Viswanath, P. Chen, Extended Topic Model for Word Dependency, ACL-IJCNLP 2015, July 2015. Beijing, China
  43. D. A. Simovici, P. Chen, and T. Wang, D. Pletea, Compression and Data Mining, position paper, International Conference on Computing, Networking and Communications (ICNC) 2015, Anaheim, California, February 16-19, 2015
  44. K. Amaral, P. Chen, W. Carter and J. Sanchez, Access My Campus, the 12th International Conference on Smart Homes and Health Telematics, June 2014, Denver, CO.
  45. C. Yu, W. Ding, P. Chen, M. Morabito, Crime Forecasting Using Spatio-Temporal Pattern with Ensemble Learning, Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May, 2014, Tainan, Taiwan.
  46. C. Fakhry*, D. Di, P. Chen, Using Lexical Units to Build a Large-Scale Knowledge-base, International Symposium on Big Data and Social Network (AIS SIG-ISAP), Milan, Italy, Dec., 2013.
  47. F. Bustos*, C. Ding, P. Chen, Visualization of Big Travel Data, International Symposium on Big Data and Social Network (AIS SIG-ISAP), Milan, Italy, Dec., 2013.
  48. D. Wang, W. Ding, K. Yu, X. Wu, P. Chen, D. Small, S. Islam, Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification, SIGKDD 2013, Chicago, IL, August 2013.
  49. I. Chen, J. Nath, P. Chen, Education Professors Create Technology For Daily Use: A Case Study On The Process Of Creating An App, The World Association for Case Method Research & Application. BERLIN, GERMANY, July 7-11, 2013
  50. L. Ghemri, P. Chen, Introducing Privacy in a Data Mining Course, poster, SIGCSE 2013, Denver, Colorado.
  51. D. Hinote*, C. Ramirez*, and P. Chen, Effective Co-reference Resolution in Clinical Text, The 25th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems , Dalian, China, June 9, 2012
  52. K. Zhao, C. Ordonez, W. Garcia*, P. Chen, Efficient Algorithms based on Relational Queries to Mine Frequent Graphs, PIKM Workshop in conjunction with the 19th ACM Conference on Information and Knowledge Management CIKM 2010, Oct. 2010. Toronto, Canada.
  53. P. Chen, A. Barrera*, C. Rhodes*, Semantic Analysis of Free Text and its Application on Automatically Assigning ICD-9-CM Codes to Patient Records, The 9th IEEE International Conference on Cognitive Informatics, July 7-9, 2010, Beijing, China. (Acceptance rate: 29%).
  54. P. Chen, N. Ozoka*, R. Ortiz*, A. Tran*, D. Brown*, Word Sense Distribution in a Web Corpus, The 9th IEEE International Conference on Cognitive Informatics, July 7-9, 2010, Beijing, China. (Acceptance rate: 29%).
  55. P. Chen, W. Garcia*, Hypothesis Generation and Data Quality Assessment through Association Mining, The 9th IEEE International Conference on Cognitive Informatics, July 7-9, 2010, Beijing, China. (Acceptance rate: 29%).
  56. P. Chen, I. Chen, R. Verma, A. Tran*, An Undergraduate Data Mining Course Integrated with Research and Industry Projects (poster), SIGCSE 2010, March, 2010.
  57. P. Chen, W. Ding, C. Bowes*, D. Brown*, Large-scale Dependency Knowledge Acquisition and its Extrinsic Evaluation Through Word Sense Disambiguation, the 21st IEEE International Conference on Tools with Artificial Intelligence, November 2009, New Jersey.
  58. W. Ding, P. Chen, H. Al-Mubaid, M. Pomplun, A Gaze-Controlled Interface to Virtual Reality Applications for Motor- and Speech-Impaired Users, the 13th International Conference on Human-Computer Interaction, July 2009, San Diego, CA
  59. P. Chen, W. Ding, C. Bowes*, D. Brown*, A Fully Unsupervised Word Sense Disambiguation Method and Its Evaluation on Coarse-grained All-words Task, NAACL 2009, Boulder, Colorado.
  60. P. Chen, R. Verma, J. C. Meininger, W. Chan, Semantic Analysis of Association Rules, the 21st AAAI International FLAIRS Conference, May 2008, Miami, Florida.
  61. R. Verma, D. Kent*, P. Chen, Semantic Multi-Document Update Summarization Techniques, Proceedings of the First Text Analysis Conference, 2008, National Institute of Standards and Technology, Gaithersburg, Maryland, USA
  62. R. Verma, P. Chen, W. Lu*, A Semantic Free-text Summarization System Using Ontology Knowledge, NIST Document Understanding Conference held with NAACL-HLT 2007, April, 2007. Rochester, NY
  63. H. Lin, S. Ongard, P. Chen, Supercomputing in undergraduate education, ACM & IEEE Super Computing (SC07), Reno, Nevada, November 9-13, 2007.
  64. P. Chen, W. Ding, C. Ding, SenseNet: A Knowledge Representation Model for Computational Semantics, In Proceedings of the 5th IEEE International Conference on Cognitive Informatics, July 2006, Beijing, China.
  65. P. Chen, R. Verma, A Query-based Medical Information Summarization System Using Ontology Knowledge, In Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems, Page 37-42, June 2006, Salt Lake City, Utah.
  66. P. Chen, H. Al-Mubaid, Context-based Term Disambiguation in Biomedical Literature, In Proceedings of The 19th AAAI International FLAIRS Conference, May 2006, Melbourne, Florida.
  67. C. Ding, P. Chen, Mining Executive Compensation Data from SEC Filings, In Proceedings of IEEE ICDE Workshop on Challenges in Web Information Retrieval and Integration, Page 49-53, April, 2006, Atlanta, Georgia.
  68. H. Al-Mubaid, P. Chen, Biomedical Term Disambiguation: An Application to Gene-Protein Name Disambiguation, In Proceedings of IEEE Third International Conference on Information Technology: New Generations, April 2006, Las Vegas, Nevada.
  69. X. Wang, P. Chen, Web-Based Interactive Visualization of Data Cubes, In Proceedings of The 2005 IEEE International Conference on Modeling, Simulation and Visualization Methods, Page 136-143, June 2005, Las Vegas, Nevada.
  70. A. de Korvin, P. Chen, C. Hu, A Genetic Algorithm Approach for Analyzing Network Intrusion Hyperalerts, In Proceedings of The 11th World Congress of International Fuzzy Systems Association, July 2005, Beijing, China.
  71. H. Al-Mubaid, P. Chen, Context-Based Similar Words Detection and Its Application in Specialized Search Engines, In Proceedings of ACM International Conference on Intelligent User Interfaces, Page 260-264, January 2005, San Diego, CA.
  72. A. de Korvin, P. Chen, C. Hu, Generating and Applying Rules for Interval Valued Fuzzy Observations, Lecture Notes in Computer Science, Vol. 3177, Page 279-284, Springer-Verlag, 2004.
  73. D. Barbara, P. Chen, Self-similar Mining of Time Association Rules, In Proceedings of The Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’04), Page 86-95, Sydney, Australia, May 2004.
  74. K. Yue, T. Yang, W. Ding, P. Chen, A model for open content communities to support effective learning and teaching, In Proceedings of International Conference on Web Based Communities, Lisbon, Portugal, March 2004.
  75. P. Chen, C. Hu, W. Ding, H. Lynn, Icon-based Visualization of Large High-Dimensional Datasets, In Proceedings of Third IEEE International Conference on Data Mining (ICDM'03), Page 505-508, Melbourne, Florida, November 2003.
  76. P. Chen, C. Hu, H. Lynn, Y. Simon, Visualizing High Dimensional Data, In Proceedings of Conference on Applied Research in Data Engineering 2002, Little Rock, AR, November 2002.
  77. P. Chen, A. de Korvin, C. Hu, Association Analysis with Interval Valued Fuzzy Sets and Body of Evidence, In Proceedings of 2002 IEEE International Conference on Fuzzy Systems, Page 518-523, Honolulu, HI, May 2002.
  78. D. Barbara, P. Chen, Tracking Clusters in Evolving Data Sets, In Proceedings of AAAI FLAIRS'2001, Page 239-243, Key West, FL, May 2001.
  79. P. Chen, D. Wijesekera, Hierarchical and Modular Model Checking of Finite State Machines, In Proceedings of 8th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems, Vienna, VA. April 2001.
  80. D. Barbara, P. Chen, Using the Fractal Dimension to Cluster Datasets, In Proceedings of 2000 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Page 260-264, Boston, MA. August 2000.