Research

My research interests include computer science education, and machine learning in a distributed manner (such as cell phones). I am also very interested in privacy guarantee in data analysis. 

Google Scholar Link

1. Computer Science Education (active)

   • P. Cao, L. Porter, S. Liam, R. Ord. Paper or Online? A Comparison of Exam Grading Techniques. ITiCSE 2019.

   • J Chen, P. Cao, L Du, Y. Ouyang, L. Shen. Improve Student Performance Using Moderated Two-Stage Projects. CompEd 2019.

   • H Yuan, P. Cao, Hybrid Pair Programming - A Promising Alternative to Standard Pair Programming, SIGCSE 2019.

   • H. Yuan, P. Cao. Collaborative Assessments in Computer Science Education: A Survey. Tsinghua Science and Technology Journal. Vol. 24, No. 4, August 2019. 

   • D. Zingaro, M. Craig, L. Porter, B. Becker, P. Cao, P. Conrad, D. Cuckierman, A. Hellas, D. Loksa, N. Thota, "Achievement Goals in CS1: Replication and Extension", SIGCSE 2018.

   • A. Awasthi, L. Battestilli, P. Cao, "Two-Stage Programming Projects: Individual Work Followed by Peer Collaboration", SIGCSE 2018.

   • A. Reilly, B. Becker, P. Cao, R. McDermott, C. Mirolo, A. Muhling, A. Petersen, K. Sanders, Simon, and J. Whalley, "Developing Assessments to Determine Mastery of Programming Fundamentals", ITiCSE 2017 Working Group report. 

   • Poster - Keyue Bao, Qiqi Wu (advisor: Paul Cao), "Evaluating Gender-Based Collaborative Exam and Its Impact on Introductory Computing", CCSC-SW, 3/25/2017-3/26/2017, San Diego, CA, USA.

   • P. Cao, L. Porter, " Impact of Performance Level and Group Composition on Student Learning during Collaborative Exams", ITiCSE 2017 (acceptance rate 56/175).

   • P. Cao, L. Porter, "Evaluating Student Learning from Collaborative Group Tests in Introductory Computing", SIGCSE 2017 (acceptance rate 105/350). (Exemplary paper award)

   • P. Cao, SD. Anderson, "The Power of Analogies in Introductory CS Education", Birds of a Feather, SIGCSE 2017 (acceptance rate 34/74).

   • C. Alvarado, P. Cao, M. Minnes, "Gender Differences in Students' Behaviors in CS Classes throughout the CS Major", SIGCSE 2017 (acceptance rate 105/350).

   • P. Cao, L. Porter, D. Zingaro, "Examining the Value of Analogies in Introductory Computing", 12th International Computing Education Research (ICER) Workshop. Melbourne, Australia, September 9-11, 2016 (acceptance rate: 26/102).

   • P. Cao, I. Ajwa, "Enhancing Computational Science Curriculum at Liberal Arts Institutions: A Case Study in the Context of Cybersecurity'', Workshop on Teaching Computational Science 2016 (WTCS 2016) in conjunction with The International Conference on Computational Science 2016 (ICCS 2016). June 6-8, 2016 (acceptance rate: 218/500).

2. Distributed learning and mobile data (active)

   • P. Cao, G. Li, A. Champion, D. Xuan, S. Romig, W. Zhao, "On Human Mobility Predictability Via WLAN Logs", INFOCOMM 2017 (accepted, acceptance rate, 292/1395)

   • J. Ham, P. Cao, M. Belkins, "Learning Privately from Multiparty Data", ICML 2016 (acceptance rate: 322/1327).

   • P. Cao, G. Li, G. Chen, G. Chen, “Mobile Data and Collection Framework: a Survey”, in Proc. of ACM Workshop on Mobidata 2015 in conjunction with Mobihoc 2015. Hangzhou China 2015 (acceptance rate: N/A)

3. Fuzzy Logic Networks (non-active)

• 1. P. Cao, P. Schneider, “A study of three-concept Fuzzy CMAP”, Critical Review, Center of Mathematics of Uncertainty at Creighton University, Volume V, 2011.

  2. G. Weinreb and P. Cao, “Fuzzy Causal Mapping (F-CMAP) - a Proposal to Develop a New Systems Biology Tool,” Journal of New Mathematics and Natural Computation. vol. 6, no. 1, pp. 97–107, 2010.

  3. P. Cao, “Fuzzy CMAP and CMAP comparisons using Monte-Carlo Simulations,” in Proc. 11th Joint Conference on Information Sciences. Shenzhen, China: Atlantic Press,  2008.

  4. P. Cao, G. Resconi, and P. Wang, “Reverse Engineering of NK Boolean Network and Its Extensions - Fuzzy Logic Network (FLN),” Journal of New Mathematics and Natural Computation, vol. 3, no. 1, pp. 69–87, 2007.

  5. P. Cao, L. Yu, A. Tokuta, and P. Wang, “A Random Approach to Study the Stability of Fuzzy Logic Networks,” in Proc. 2 nd International Joint Conferences on Computer, Information, Systems Sciences, and Engineering. 2006, pp. 17–21.

  6. P. Cao, P. Wang, H. Clark, and A. Tokuta, “Fuzzy Logic Network (FLN) on Gene Regulatory Network Modeling,” Dynamics of Continuous, Discrete and Impulsive Systems Series B, vol. 13, no. 2, pp. 1–6, 2006.

  7. P. Cao, P. Wang, and A. Tokuta, “SORE (Self Organizable Regulating Engine) - a Possible Building Block for a “Biogizing” Control System.” in Proc. 4 th International Symposium on Intelligent Manufacturing., Sakarya University, Turkey, 2004, pp. 42–48.

  8. P. Wang, P. Cao, J. Robinson, and A. Tokuta, “A Study of the Two Gene Network - the Simplest Special Case of SORE (Self Organizable Regulating Engine).” in Proc. of 7 th Joint Conference on Information Science, 2002, pp. 1716–1720.

4. Gene Expression Analysis (non-active)

• 1. G. Zheng, T. Sangutei, and Y. Cao, “A Case Study of Genetic Influence via Principal Component Analysis and Bayesian Factor Analysis”, in Proc. of BIOCOMP. 2008, 1015-1021

  2. P. Cao, L. Yu, P. Wang, and A. Tokuta, “S. pombe Regulatory Network Construction Using the Fuzzy Logic Network,” Journal of New Mathematics and Natural Computation, vol. 4, no. 1, pp. 1–16, 2008.

  3. P. Cao, P. Wang, and A. Tokuta, S. pombe and S. cerevisiae Regulatory Network Construction Using the Fuzzy Logic Network, ser. Computational Intelligence in Bioinformatics. Springer Verlag, 2008. vol. 94, ch. 10, pp. 237-256.

  4. P. Cao, L. Yu, A. Tokuta, and P. Wang, “Genetic Correlation Analysis in Human Leukemia Disease Using Bayesian Factor,” in Proc. 10 th Joint Conference on Information Sciences (JCIS 2007). Salt Lake City, Utah: World Scientific, July 2007, pp. 130–137.

  5. P. Cao, P. Wang, and A. Tokuta, Gene Regulatory Network Modeling: a Data Driven Approach, ser. Studies in Fuzziness and Soft Computing. Springer Berlin/Heidelberg, 2007, vol. 215, ch. 12, pp. 241–287.

  6. P. Cao, P. Wang, and A. Tokuta, “S. pombe Regulatory Network Inference Using Fuzzy Logic Network,” Poster, Computational Systems Bioinformatics Conference, Stanford University, CA, August 2006.

  7. G. Resconi, P. Cao, and P. Wang, “Fuzzy Biology,” in Proc. 5 th International Symposium on Intelligent Manufacturing Systems, Sakarya, Turkey, 2006.

  8. P. Cao, P. Wang, and A. Tokuta, Gene Regulating Network Discovery, ser. Studies in Computational Intelligence. Springer Verlag Gmbh, 2005, vol. 5, ch. 3, pp. 49–78.