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2. LogShrink: Effective Log Compression by Leveraging Commonality and Variability of Log Data;Proceedings of the 46th IEEE/ACM International Conference on Software Engineering;2024-02-06
3. FSMFLog: Discovering Anomalous Logs Combining Full Semantic Information and Multifeature Fusion;IEEE Internet of Things Journal;2024-02-01
4. Graph-Based Log Anomaly Detection via Adversarial Training;Dependable Software Engineering. Theories, Tools, and Applications;2023-12-15
5. Hue: A User-Adaptive Parser for Hybrid Logs;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30