  | TANG, X., KIM, K., EZZINI, S., SONG, Y., TIAN, H., KLEIN, J., & BISSYANDE, T. (2025). Just-in-Time Detection of Silent Security Patches. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3749370  Peer Reviewed verified by ORBi |
 | 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 |
 | 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 |
 | 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 |
 | TANG, X., Chen, Z., EZZINI, S., TIAN, H., SONG, Y., KLEIN, J., & BISSYANDE, T. F. D. A. (2023). Multilevel Semantic Embedding of Software Patches: A Fine-to-Coarse Grained Approach Towards Security Patch Detection. In Semantic Patch Embedding for Security Detection: A Fine-to-Coarse Grained Approach. In 12th International Conference on Learning Representations. 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., 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 |
 | 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 |
 | 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 |