1. Pei, B., Cheng, Y., & Liu, C. (2025). Balancing Act: Early, Fair, and Accurate Identification of At-risk Students. Journal of Learning Analytics, 12(3).
  2. McClure, K., Ammerman, B. A., Liu, C., Blacutt, M., O'Brien, C., & Jacobucci, R. (2025). Initial Development of a Multidimensional Computerized Adaptive Test for Intensive Longitudinal Assessment of Suicide Risk: Development and Usability Study. JMIR formative research, 9, e76544.
  3. D’Agostino, T. J., Liu, C., Soares, F., Conaghan, B., Brunette, T., Reddy Nakamura, P., Donovan, C., & Pentimonti, J. (2025). Seeing emerging comprehenders: Refining reading comprehension assessment in international contexts. International Journal of Educational Development, 117.
  4. Soares, F., Liu, C., D’Agostino, T. J., Nakamura, P., & Freeman, C. (2025). Unveiling the learning crisis: Understanding the reading comprehension challenges in multilingual contexts. Comparative Education Review.
  5. Ober, T. M., Cheng, Y., Carter, M. F., & Liu, C. (2024). Leveraging performance and feedback-seeking indicators from a digital learning platform for early prediction of students' learning outcomes. Journal of Computer Assisted Learning, 40(1).
  6. Setzer, C., Cheng, Y., & Liu, C. (2023). Decision accuracy of compensatory composite test scores. Journal of Educational Measurement, 60(3).
  7. Ober, T. M., Cheng, Y., Carter, M. F., & Liu, C. (2023). Disruptiveness of COVID-19: Differences in course engagement, self-appraisal, and learning. Aera Open, 9.
  8. Ober, T. M., Lu, Y., Blacklock, C. B., Liu, C., & Cheng, Y. (2023). Development and Validation of a Cognitive Load Measure for General Educational Settings. Journal of Psychoeducational Assessment, 41(6).
  9. Ober, T., Liu, C., & Cheng, Y. (2023). Development, validation, and evidence of measurement Invariance of a Shortened Measure of Trait Test Anxiety. European Journal of Psychological Assessment, 40(3).
  10. Lu, Y., Ober, T. M., Liu, C., & Cheng, Y. (2022). Application of neighborhood components analysis to process and survey data to predict student learning of statistics. 2022 International Conference on Advanced Learning Technologies (ICALT). 147-151.
  11. Ober, T. M., Brodersen, A., Rebouças-Ju, D., Hong, M., Liu, C., & Cheng, Y. (2022). Math attitudes and engagement-related behaviors: Direct and indirect effects on proficiency in high and low-stakes tests of statistics knowledge. Journal for STEM Education Research, 5(3).
  12. Ober, T. M., Hong, M., Carter, M., Brodersen, S. A., Rebouças, D. A., Liu, C., & Cheng, Y. (2022). Are high school students accurate in predicting their AP exam scores? Assessment in Education: Principles, Policy & Practice, 29(1), 27–50.
  13. Ober, T. M., Hong, M., Rebouças, D. A., Carter, M., Liu, C., & Cheng, Y. (2021). Linking Self-report and Process Data to Performance across Different Assessment Types. Computers & Education, 167 (2021) 104188.
  14. Liu, C., Han, K. T., & Li, J. (2019). Compromised item detection for computerized adaptive testing. Frontiers in Psychology.
  15. Liu, C., & Cheng, Y. (2018). An application of the support vector machine for attribute-by-attribute classification in cognitive diagnosis. Applied Psychological Measurement, 42(1), 58-72.
  16. Cheng, Y., & Liu, C. (2016). A note on the relationship between pass rate and multiple attempts. Journal of Educational Measurement, 53(4), 431-447.
  17. McBurney, P. W., Liu, C., & McMillan, C. (2016). Automated feature discovery via sentence selection and source code summarization. Journal of Software: Evolution and Process, 28(2), 120-145.
  18. Schiedler, N. H., Liu, C., Hamby, K. A., Zalom, F. G., & Syed, Z. (2015). Volatile codes: evolution of olfactory signals and reception in drosophila-yeast chemical communication. Nature Scientific Reports, 5, 14059.
  19. Rodeghero, P., Liu, C., McBurney, P. W., & McMillan, C. (2015). An eye-tracking study of Java programmers and application to source code summarization. IEEE Transactions on Software Engineering, 41(11), 1038-1054.
  20. Cheng, Y., Liu, C., & Behrens, J. (2015). Standard error of ability estimates and the classification accuracy and consistency of binary decisions in linear and adaptive testing. Psychometrika, 80(3), 645-664.
  21. Cheng, Y., & Liu, C. (2015). The effect of upper and lower asymptotes of IRT models in computerized adaptive testing. Applied Psychological Measurement. 39(7), 551–565.
  22. Sullivan, G. A., Liu, C., and Syed, Z. (2014). Oviposition signals and their neuroethological correlates in the Culex pipiens complex. Infection, Genetics and Evolution, 28, 735-743.
  23. Kijewski-Correa, T., Smith, N., Taflanidis, A., Kennedy, A., Liu, C., Krusche, M. & Vardeman, C. (2014). CyberEye: Development of integrated cyber-infrastructure to support rapid hurricane risk assessment. Journal of Wind Engineering & Industrial Aerodynamics, 133, 211-224.
  24. Reidenbach, K. R., Cheng, C., Liu, F., Liu, C., Besansky, N. J. & Syed, Z. (2014). Cuticular differences associated with aridity acclimation in African malaria vectors carrying alternative arrangements of inversion 2La. Parasites & Vectors, 7, 176.
  25. Nabrzyski, J., Liu, C., Vardeman, C., Gesing, S. & Budhatoki, M. (2014). Agriculture data for all: integrated tools for agriculture data integration, analytics and sharing. BigData 2014, June 27-July 2, 2014, Anchorage, Alaska, US.
  26. McBurney, P. W., Liu, C., McMillan, C., & Weninger, T. (2014). Improving topic model source code summarization. Proc. of 22nd International Conference on Program Comprehension, Early Research Achievements Track (ICPC'14 ERA), June 2-3 2014, Hyderabad, India. 3
  27. Shi, X., Jung, Y., Lin, C., Liu, C., Wu, C., Cann, I. K. O., & T. Ha. (2012). Quantitative fluorescent labeling of aldehyde-tagged proteins for single-molecule imaging. Nature Methods, 9(5), 499-503.
  28. Ragunathan, K., Liu, C., & Ha, T. (2012). RecA filament sliding on DNA facilitates homology search. eLife, 1, e00067. Pubmed ID: 23240082.
  29. Cheng, Y., Yuan, K-H., & Liu, C. (2012). Comparison of reliability measures under factor analysis and item response theory. Educational and Psychological Measurement, 72(1), 52-67.
  30. Liu, C., McKinney, M. C., Chen, Y. H., Earnest, T. M., Shi, X., Lin, L. J., Ishino, Y., Dahmen, K., Cann, I. K. O., & Ha, T. (2011). Reverse-chaperoning activity of an AAA+ protein, Biophysical Journal, 100(5), 1344-1352.
  31. Zhu, J., Liu, C., & Wang, Z. (2006). Monte-Carlo simulation of a small gamma camera using fibers and YAP scintillation crystal. ACTA PHOTONICA SINICA, 35(10), 1497-1500.