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TIAN Haoye

Main Referenced Co-authors
KLEIN, Jacques  (11)
BISSYANDE, Tegawendé  (9)
TANG, Xunzhu  (6)
HABIB, Andrew  (5)
Liu, Kui (5)
Main Referenced Keywords
Computer Science - Software Engineering (2); Patch correctness (2); Patch overfitting (2); Program repair (2); Software (2);
Main Referenced Disciplines
Computer science (12)
Engineering, computing & technology: Multidisciplinary, general & others (1)
Physics (1)

Publications (total 14)

The most downloaded
280 downloads
Yang, D., Liu, K., Kim, D., Koyuncu, A., KIM, K., TIAN, H., Lei, Y., Mao, X., KLEIN, J., & BISSYANDE, T. F. D. A. (2021). Where were the repair ingredients for Defects4j bugs? Empirical Software Engineering, 26 (6), 1--33. doi:10.1007/s10664-021-10003-7 https://hdl.handle.net/10993/49399

The most cited

87 citations (Scopus®)

TIAN, H., LIU, K., KABORE, A. K., KOYUNCU, A., Li, L., KLEIN, J., & BISSYANDE, T. F. D. A. (2020). Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair. In H. TIAN, 35th IEEE/ACM International Conference on Automated Software Engineering, September 21-25, 2020, Melbourne, Australia. doi:10.1145/3324884.3416532 https://hdl.handle.net/10993/45494

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

TANG, X., KIM, K., SONG, Y., LOTHRITZ, C., Li, B., EZZINI, S., TIAN, H., KLEIN, J., & Tegawendé F BISSYANDE. (2024). CodeAgent: Autonomous Communicative Agents for Code Review. In T. F. D. A. BISSYANDE, CodeAgent: Autonomous Communicative Agents for Code Review (pp. 11279–11313). MIAMI, United States: Association for Computational Linguistics.
Peer reviewed

CHUAI, Y., TIAN, H., Pröllochs, N., & LENZINI, G. (08 November 2024). Did the Roll-Out of Community Notes Reduce Engagement With Misinformation on X/Twitter? Proceedings of the ACM on Human-Computer Interaction, 8 (CSCW2), 1-52. doi:10.1145/3686967
Peer Reviewed verified by ORBi

OUEDRAOGO, W. A. M. C., KABORE, A. K., TIAN, H., SONG, Y., KOYUNCU, A., KLEIN, J., LO, D., & BISSYANDE, T. F. D. A. (2024). LLMs and Prompting for Unit Test Generation: A Large-Scale Evaluation. In Proceedings - 2024 39th ACM/IEEE International Conference on Automated Software Engineering, ASE 2024. Association for Computing Machinery, Inc. doi:10.1145/3691620.3695330
Editorial reviewed

TANG, X., TIAN, H., KONG, P., EZZINI, S., LIU, K., Xia, X., KLEIN, J., & Bissyandé, T. F. (26 July 2024). App review driven collaborative bug finding. Empirical Software Engineering, 29 (5). doi:10.1007/s10664-024-10489-x
Peer Reviewed verified by ORBi

TIAN, H. (2023). Learning Code Change Semantics for Patch Correctness Assessment in Program Repair [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57027

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

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

TIAN, H., TANG, X., HABIB, A., Wang, S., Liu, K., Xia, X., KLEIN, J., & BISSYANDE, T. F. D. A. (2022). Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness. In Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness.
Peer reviewed

TIAN, H., TANG, X., HABIB, A., Wang, S., Liu, K., Xia, X., KLEIN, J., & BISSYANDE, T. F. D. A. (2022). Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness. In Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness.
Peer reviewed

Yang, D., Liu, K., Kim, D., Koyuncu, A., KIM, K., TIAN, H., Lei, Y., Mao, X., KLEIN, J., & BISSYANDE, T. F. D. A. (2021). Where were the repair ingredients for Defects4j bugs? Empirical Software Engineering, 26 (6), 1--33. doi:10.1007/s10664-021-10003-7
Peer Reviewed verified by ORBi

TIAN, H., LIU, K., KABORE, A. K., KOYUNCU, A., Li, L., KLEIN, J., & BISSYANDE, T. F. D. A. (2020). Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair. In H. TIAN, 35th IEEE/ACM International Conference on Automated Software Engineering, September 21-25, 2020, Melbourne, Australia. doi:10.1145/3324884.3416532
Peer reviewed

Chen, L., Xu, C., TIAN, H., Xiang, H., Iñiguez, J., Yang, Y., & Bellaiche, L. (21 June 2019). Electric-Field Control of Magnetization, Jahn-Teller Distortion, and Orbital Ordering in Ferroelectric Ferromagnets. PHYSICAL REVIEW LETTERS, 122 (24). doi:10.1103/PhysRevLett.122.247701
Peer reviewed

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