Profil

LI Yinghua

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX

ORCID
0000-0003-1390-0393
Main Referenced Co-authors
BISSYANDE, Tegawendé  (8)
KLEIN, Jacques  (8)
DANG, Xueqi  (7)
LE TRAON, Yves  (4)
Ma, Lei (3)
Main Referenced Keywords
Graph Neural Networks (1); Mutation (1); Patch correctness (1); Patch overfitting (1); Program repair (1);
Main Referenced Disciplines
Computer science (10)

Publications (total 10)

The most downloaded
55 downloads
TIAN, H., Liu, K., LI, Y., KABORE, A. K., KOYUNCU, A., HABIB, A., Li, L., Wen, J., KLEIN, J., & BISSYANDE, T. F. D. A. (2022). The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches. ACM Transactions on Software Engineering and Methodology. https://hdl.handle.net/10993/54368

The most cited

18 citations (Scopus®)

TIAN, H., LI, Y., PIAN, W., KABORE, A. K., Liu, K., HABIB, A., KLEIN, J., & BISSYANDE, T. F. D. A. (2022). Predicting Patch Correctness Based on the Similarity of Failing Test Cases. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3511096 https://hdl.handle.net/10993/52239

LI, Y., DANG, X., Tian, H., SUN, T., Wang, Z., Ma, L., KLEIN, J., & BISSYANDE, T. F. D. A. (2024). An Empirical Study of AI Techniques in Mobile Applications. Journal of Systems and Software. doi:10.1016/j.jss.2024.112233
Peer Reviewed verified by ORBi

LI, Y. (2024). Test Input Prioritization for Deep Neural Networks [Doctoral thesis, SnT]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/62064

LI, Y., DANG, X., Ma, L., KLEIN, J., & BISSYANDE, T. F. D. A. (22 July 2024). Prioritizing test cases for deep learning-based video classifiers. Empirical Software Engineering, 29 (5), 111. doi:10.1007/s10664-024-10520-1
Peer Reviewed verified by ORBi

DANG, X., LI, Y., Wei Ma, Yuejun Guo, Qiang Hu, PAPADAKIS, M., CORDY, M., & LE TRAON, Y. (22 July 2024). Towards Exploring the Limitations of Test Selection Techniques on Graph Neural Networks: An Empirical Study. Empirical Software Engineering, 29 (5). doi:10.1007/s10664-024-10515-y
Peer Reviewed verified by ORBi

LI, Y., DANG, X., Ma, L., KLEIN, J., LE TRAON, Y., & BISSYANDE, T. F. D. A. (04 June 2024). Test Input Prioritization for 3D Point Clouds. ACM Transactions on Software Engineering and Methodology, 33 (5), 1-44. doi:10.1145/3643676
Peer Reviewed verified by ORBi

LI, Y., DANG, X., PIAN, W., Habib, A., KLEIN, J., & BISSYANDE, T. F. D. A. (05 April 2024). Test Input Prioritization for Graph Neural Networks. IEEE Transactions on Software Engineering, 50 (6), 1396 - 1424. doi:10.1109/TSE.2024.3385538
Peer Reviewed verified by ORBi

DANG, X.* , LI, Y.* , PAPADAKIS, M., KLEIN, J., BISSYANDE, T. F. D. A., & LE TRAON, Y. (05 January 2024). Test Input Prioritization for Machine Learning Classifiers. IEEE Transactions on Software Engineering, 50 (3), 413 - 442. doi:10.1109/TSE.2024.3350019
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

DANG, X., LI, Y., PAPADAKIS, M., KLEIN, J., BISSYANDE, T. F. D. A., & LE TRAON, Y. (2023). GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3607191
Peer Reviewed verified by ORBi

TIAN, H., LI, Y., PIAN, W., KABORE, A. K., Liu, K., HABIB, A., KLEIN, J., & BISSYANDE, T. F. D. A. (2022). Predicting Patch Correctness Based on the Similarity of Failing Test Cases. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3511096
Peer Reviewed verified by ORBi

TIAN, H., Liu, K., LI, Y., KABORE, A. K., KOYUNCU, A., HABIB, A., Li, L., Wen, J., KLEIN, J., & BISSYANDE, T. F. D. A. (2022). The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches. ACM Transactions on Software Engineering and Methodology.
Peer Reviewed verified by ORBi

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