Jialin Cui

Cui, J., Zhang, R., Li, R., Zhou, F., Song, Y., & Gehringer, E. (2024). A Comparative Analysis of GitHub Contributions Before and After An OSS Based Software Engineering Class. PROCEEDINGS OF THE 2024 CONFERENCE INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, VOL 1, ITICSE 2024, pp. 576–582. https://doi.org/10.1145/3649217.3653535

Cui, J., Zhang, R., Li, R., Zhou, F., Song, Y., & Gehringer, E. (2024). How Pre-class Programming Experience Influences Students' Contribution to Their Team Project: A Statistical Study. PROCEEDINGS OF THE 55TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE 2024, VOL. 1, pp. 255–261. https://doi.org/10.1145/3626252.3630870

Cui, J., Zhou, F., Liu, C., Jia, Q., Song, Y., & Gehringer, E. (2024). Utilizing the Constrained K-Means Algorithm and Pre-Class GitHub Contribution Statistics for Forming Student Teams. PROCEEDINGS OF THE 2024 CONFERENCE INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, VOL 1, ITICSE 2024, pp. 569–575. https://doi.org/10.1145/3649217.3653634

Cui, J., Zhang, R., Li, R., Song, Y., Zhou, F., & Gehringer, E. (2023). Correlating Students' Class Performance Based on GitHub Metrics: A Statistical Study. PROCEEDINGS OF THE 2023 CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2023, VOL 1, pp. 526–532. https://doi.org/10.1145/3587102.3588799

Cui, J., Li, R., Lou, K., Liu, C., Xiao, Y., Jia, Q., … Zhang, R. (2022). Can Pre-class GitHub Contributions Predict Success by Student Teams? 2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING EDUCATION AND TRAINING (ICSE-SEET 2022), pp. 40–49. https://doi.org/10.1109/ICSE-SEET55299.2022.9794264

Xiao, Y., Wang, T., Sun, X., Li, L., Song, Y., Cui, J., … Gehringer, E. (2022). Modeling review helpfulness with augmented transformer neural networks [CA and online,]. 2022 IEEE 16th International Conference on Semantic Computing (ICSC), 83–90. https://doi.org/10.1109/ICSC52841.2022.00019

Shen, B.-W., Pielke Sr, R., Zeng, X., Cui, J., Faghih-Naini, S., Paxson, W., … Atlas, R. (2022). The Dual Nature of Chaos and Order in the Atmosphere. ATMOSPHERE, 13(11). https://doi.org/10.3390/atmos13111892

Cui, J., & Shen, B.-W. (2021). A kernel principal component analysis of coexisting attractors within a generalized Lorenz model. CHAOS SOLITONS & FRACTALS, 146. https://doi.org/10.1016/j.chaos.2021.110865