2024

* denotes equal contributions; ^ means corresponding author; + denotes the students (co-)supervised by Dr. Chen.

TSE'24a J. Gong+, T. Chen^ and R. Bahsoon Dividable Configuration Performance Learning. IEEE Transactions on Software Engineering, 2024.

TOSEM'24 J. Gong+, T. Chen^. Deep Configuration Performance Learning: A Systematic Survey and Taxonomy. IEEE Transactions on Software Engineering, 2024.

ESEM'24 C. Du+, T. Chen^. Contexts Matter: An Empirical Study on Contextual Influence in Fairness Testing for Deep Learning Systems. the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 2024.

ICONIP'24 Y. Zhang, X. Tao, H. Ai, T. Chen^, Y. Gan. Multimodal Emotion Recognition by Fusing Video Semantic in MOOC Learning Scenarios the 31st International Conference on Neural Information Processing, 2024.

FSE'24a J. Gong+ and T. Chen^. Predicting Configuration Performance in Multiple Environments with Sequential Meta-learning. the 32nd ACM International Conference on the Foundations of Software Engineering, 2024.

FSE'24b T. Chen*^ and M. Li*. Adapting Multi-objectivized Software Configuration Tuning. the 32nd ACM International Conference on the Foundations of Software Engineering, 2024.

TSE'24b P. Chen+, T. Chen^ and M. Li. MMO: Meta Multi-Objectivization for Software Configuration Tuning. IEEE Transactions on Software Engineering, 2024.