![]() | LE, V. H., BIANCULLI, D., & Nguyen, H.-T. (in press). Towards Universal Segmentation for Log Parsing. In Proceedings of the 34th IEEE/ACM International Conference on Program Comprehension conference. ACM. doi:10.1145/3794763.3794811 Peer reviewed |
![]() | LE, V. H., Xiao, Y., & Zhang, H. (2025). Unleashing the True Potential of Semantic-Based Log Parsing with Pre-Trained Language Models. In Proceedings - 2025 IEEE/ACM 47th International Conference on Software Engineering, ICSE 2025. IEEE Computer Society. doi:10.1109/ICSE55347.2025.00174 Peer reviewed |
![]() | Xiao, Y., LE, V. H., & Zhang, H. (2024). Demonstration-Free: Towards More Practical Log Parsing with Large Language Models. In Proceedings - 2024 39th ACM/IEEE International Conference on Automated Software Engineering, ASE 2024. Association for Computing Machinery, Inc. doi:10.1145/3691620.3694994 Peer reviewed |
Liu, Y., Zhang, H., LE, V. H., Miao, Y., & Li, Z. (2024). Local Search-based Approach for Cost-effective Job Assignment on Large Language Models. In GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc. doi:10.1145/3638530.3654104 Peer reviewed |
![]() | LE, V. H., & Zhang, H. (29 May 2024). PreLog: A Pre-trained Model for Log Analytics. Proceedings of the ACM on Management of Data, 2 (3), 1-28. doi:10.1145/3654966 Peer reviewed |
Nguyen, H.-T., Nguyen, L.-V., LE, V. H., Zhang, H., & Le, M.-T. (2024). Efficient Log-based Anomaly Detection with Knowledge Distillation. In R. N. Chang (Ed.), Proceedings - 2024 IEEE International Conference on Web Services, ICWS 2024. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/ICWS62655.2024.00078 Peer reviewed |
Liu, Y., Zhang, H., Miao, Y., LE, V. H., & Li, Z. (2024). OptLLM: Optimal Assignment of Queries to Large Language Models. In R. N. Chang (Ed.), Proceedings - 2024 IEEE International Conference on Web Services, ICWS 2024. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/ICWS62655.2024.00098 Peer reviewed |