  | SONG, Y., SUN, T., TANG, X., RAJPUT, P. K., BISSYANDE, T., & KLEIN, J. (16 November 2025). Measuring LLM Code Generation Stability via Structural Entropy [Paper presentation]. 40th IEEE/ACM International Conference on Automated Software Engineering, Seoul, South Korea.  Peer reviewed |
 | SUN, T., ALECCI, M., SONG, Y., TANG, X., KIM, K., SAMHI, J., BISSYANDE, T. F. D. A., & KLEIN, J. (2025). RAML: Toward Retrieval-Augmented Localization of Malicious Payloads in Android Apps. In The 40th IEEE/ACM International Conference on Automated Software Engineering, ASE 2025. IEEE/ACM. Peer reviewed |
 | TANG, X., SUN, T., SONG, Y., Siyuan Ma, KLEIN, J., & BISSYANDE, T. F. D. A. (07 September 2025). ExpertCache: GPU-Efficient MoE Inference through Reinforcement Learning-Guided Expert Selection [Paper presentation]. The 41st International Conference on Software Maintenance and Evolution, New Ideas and Emerging Results Track. Peer reviewed |
 | SUN, T., ALECCI, M., PILGUN, A., SONG, Y., TANG, X., SAMHI, J., BISSYANDE, T. F. D. A., & KLEIN, J. (2025). MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs. In The 41st International Conference on Software Maintenance and Evolution (ICSME) 2025 conference. IEEE. doi:10.1109/ICSME64153.2025.00076 Peer reviewed |
 | 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. (2024). Boosting Android Malware Learning [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/63170 |
 | 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 |
 | KIM, K., Kim, J., Park, B., KIM, D., Chong, C. Y., Wang, Y., SUN, T., Tang, D., KLEIN, J., & BISSYANDE, T. (2024). DataRecipe --- How to Cook the Data for CodeLLM? In DataRecipe --- How to Cook the Data for CodeLLM?New York City, United States: Association for Computing Machinery (ACM). doi:10.1145/3691620.3695593 Peer reviewed |
 | SUN, T., DAOUDI, N., KIM, K., ALLIX, K., BISSYANDE, T., & KLEIN, J. (2024). DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware. In DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware. New York City, United States: Association for Computing Machinery (ACM). doi:10.1145/3674805.3690745 Peer reviewed |
 | 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 |
 | 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 |
 | SUN, T., ALLIX, K., KIM, K., Zhou, X., KIM, D., Lo, D., Bissyande, T. F., & KLEIN, J. (01 September 2023). DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode. IEEE Transactions on Software Engineering, 49 (10), 4691 - 4706. doi:10.1109/TSE.2023.3310874 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 |
 | SUN, T., DAOUDI, N., ALLIX, K., & BISSYANDE, T. F. D. A. (2021). Android Malware Detection: Looking beyond Dalvik Bytecode. In 2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW). doi:10.1109/ASEW52652.2021.00019 Peer reviewed |
