2025
KPIRoot+: An Efficient Integrated Framework for Anomaly Detection and Root Cause Analysis in Large-Scale Cloud Systems.
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CoRR, June, 2025
Hierarchical Prediction-based Management for LMaaS Systems.
CoRR, April, 2025
Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features.
ACM Trans. Softw. Eng. Methodol., March, 2025
ADAMAS: Adaptive Domain-Aware Performance Anomaly Detection in Cloud Service Systems.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025
2024
A Memory-Disaggregated Radix Tree.
ACM Trans. Storage, August, 2024
Go Static: Contextualized Logging Statement Generation.
Proc. ACM Softw. Eng., 2024
Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in Virtual Reality Apps.
Proc. ACM Softw. Eng., 2024
LILAC: Log Parsing using LLMs with Adaptive Parsing Cache.
Proc. ACM Softw. Eng., 2024
Combating Missed Recalls in E-commerce Search: A CoT-Prompting Testing Approach.
CoRR, 2024
Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in VR Apps.
CoRR, 2024
Combating Missed Recalls in E-commerce Search: A CoT-Prompting Testing Approach.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024
Contextualized Data-Wrangling Code Generation in Computational Notebooks.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024
A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024
KPIRoot: Efficient Monitoring Metric-based Root Cause Localization in Large-scale Cloud Systems.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024
AutoConsis: Automatic GUI-driven Data Inconsistency Detection of Mobile Apps.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024
2023
LLMParser: A LLM-based Log Parsing Framework.
CoRR, 2023
A Large-scale Benchmark for Log Parsing.
CoRR, 2023
Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection.
CoRR, 2023
Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop.
CoRR, 2023
Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System.
Proceedings of the 29th Symposium on Operating Systems Principles, 2023
BiasAsker: Measuring the Bias in Conversational AI System.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
Appaction: Automatic GUI Interaction for Mobile Apps via Holistic Widget Perception.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
SMART: A High-Performance Adaptive Radix Tree for Disaggregated Memory.
Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
Revealing Performance Issues in Server-Side WebAssembly Runtimes Via Differential Testing.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
Validating Multimedia Content Moderation Software via Semantic Fusion.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023
2022
Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
2021
Detecting Deep Neural Network Defects with Data Flow Analysis.
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2021
2020
Efficient customer incident triage via linking with system incidents.
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Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020
Efficient incident identification from multi-dimensional issue reports via meta-heuristic search.
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Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020
2019
Detecting Deep Neural Network Defects with Data Flow Analysis.
CoRR, 2019
2018
Efficient Scheduling for Multi-Block Updates in Erasure Coding Based Storage Systems.
IEEE Trans. Computers, 2018
2017
DeepProf: Performance Analysis for Deep Learning Applications via Mining GPU Execution Patterns.
CoRR, 2017
2016
Bandwidth-aware delayed repair in distributed storage systems.
Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016
Cloud-of-Clouds Storage Made Efficient: A Pipeline-Based Approach.
Proceedings of the IEEE International Conference on Web Services, 2016