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PIAN Weiguo

Main Referenced Co-authors
BISSYANDE, Tegawendé  (8)
KLEIN, Jacques  (8)
SUN, Tiezhu  (4)
TIAN, Haoye  (4)
HABIB, Andrew  (3)
Main Referenced Keywords
Software (2); Abstract Syntax Trees (1); Classification tasks (1); Code changes (1); Computational costs (1);
Main Referenced Disciplines
Computer science (9)

Publications (total 9)

The most downloaded
136 downloads
SUN, T., DAOUDI, N., PIAN, W., KIM, K., ALLIX, K., BISSYANDE, T., & KLEIN, J. (2024). Temporal-Incremental Learning for Android Malware Detection. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3702990 https://hdl.handle.net/10993/62892

The most cited

31 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

PIAN, W. (2025). Representation Learning of Software Source Code [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/66023

PIAN, W., LI, Y., TIAN, H., SUN, T., SONG, Y., TANG, X., HABIB, A., KLEIN, J., & BISSYANDE, T. (2025). You Don’t Have to Say Where to Edit! jLED – Joint Learning to Localize and Edit Source Code. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3712187
Peer Reviewed verified by ORBi

SUN, T., DAOUDI, N., PIAN, W., KIM, K., ALLIX, K., BISSYANDE, T., & KLEIN, J. (2024). Temporal-Incremental Learning for Android Malware Detection. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3702990
Peer Reviewed verified by ORBi

SUN, T., PIAN, W., DAOUDI, N., ALLIX, K., BISSYANDE, T., & KLEIN, J. (2024). LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning. In A. Rapp & L. Di Caro (Eds.), Natural Language Processing and Information Systems - 29th International Conference on Applications of Natural Language to Information Systems, NLDB 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-70239-6_5
Peer reviewed

Yang, B., Tian, H., PIAN, W., Yu, H., Wang, H., KLEIN, J., BISSYANDE, T. F. D. A., & Jin, S. (2024). CREF: An LLM-Based Conversational Software Repair Framework for Programming Tutors. In M. Christakis (Ed.), ISSTA 2024 - Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (pp. 882-894). Association for Computing Machinery, Inc. doi:10.1145/3650212.3680328
Peer reviewed

TANG, X., TIAN, H., Chen, Z., PIAN, W., EZZINI, S., KABORE, A. K., HABIB, A., KLEIN, J., & BISSYANDE, T. F. D. A. (2024). Learning to Represent Patches. In Proceedings - 2024 ACM/IEEE 46th International Conference on Software Engineering: Companion, ICSE-Companion 2024. IEEE Computer Society. doi:10.1145/3639478.3643521
Peer reviewed

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

PIAN, W., Peng, H., TANG, X., SUN, T., TIAN, H., Habib, A., KLEIN, J., & BISSYANDE, T. F. D. A. (February 2023). MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 37 (4), 5239-5247. doi:10.1609/aaai.v37i4.25654
Peer reviewed

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

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