Jialin Cui

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., 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