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 |
CHUAI, Y., TIAN, H., Pröllochs, N., & LENZINI, G. (2023). The Roll-Out of Community Notes Did Not Reduce Engagement With Misinformation on Twitter. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/59462. |
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., 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 |
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 |
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 |