Lin, Qingwei

Robust log-based anomaly detection on unstable log data

Zhang, X., Xu, Y., Lin, Q., Qiao, B., Zhang, H., Dang, Y., Xie, C., Yang, X., Cheng, Q., Li, Z., et al. (2019) · Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 761

AIOps: Real-World Challenges and Research Innovations

Dang, Y., Lin, Q., & Huang, P. (2019) · 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 238

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Chen, Y., Xie, H., Ma, M., Kang, Y., Gao, X., Shi, L., Cao, Y., Gao, X., Fan, H., Wen, M., et al. (2024) · Proceedings of the Nineteenth European Conference on Computer Systems

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 190

ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection

Chen, Y., Zhang, C., Ma, M., Liu, Y., Ding, R., Li, B., He, S., Rajmohan, S., Lin, Q., & Zhang, D. (2023) · Proceedings of the VLDB Endowment

Anomaly Detection Techniques and ApplicationsTime Series Analysis and Forecasting

Cited by 139

WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Luo, Z., Xu, C., Zhao, P., Sun, Q., Geng, X., Hu, W., Tao, C., Ma, J., Lin, Q., & Jiang, D. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 120

Towards intelligent incident management: why we need it and how we make it

Chen, Z., Kang, Y., Li, L., Zhang, X., Zhang, H., Xu, H., Zhou, Y., Yang, L., Sun, J., Xu, Z., et al. (2020) · Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 99

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Pan, Z., Wu, Q., Jiang, H., Xia, M., Luo, X., Zhang, J., Lin, Q., Rühle, V., Yang, Y., Lin, C.-Y., et al. (2024) · Findings of the Association for Computational Linguistics: ACL 2024

Topic ModelingNatural Language Processing Techniques

Cited by 58

How to mitigate the incident? An effective troubleshooting guide recommendation technique for online service systems

Jiang, J., Lu, W., Chen, J., Lin, Q., Zhao, P., Kang, Y., Zhang, H., Xiong, Y., Gao, F., Xu, Z., et al. (2020) · Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 56

Assess and Summarize: Improve Outage Understanding with Large Language Models

Jin, P., Zhang, S., Ma, M., Li, H., Kang, Y., Li, L., Liu, Y., Qiao, B., Zhang, C., Zhao, P., et al. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 50

Identifying linked incidents in large-scale online service systems

Chen, Y., Yang, X., Dong, H., He, X., Zhang, H., Lin, Q., Chen, J., Zhao, P., Kang, Y., Gao, F., et al. (2020) · Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 47

Xpert: empowering incident management with query recommendations via large language models

Jiang, Y., Zhang, C., He, S., Yang, Z., Ma, M., Qin, S., Kang, Y., Dang, Y., Rajmohan, S., Lin, Q., et al. (2024) · Proceedings of the IEEE/ACM 46th International Conference on Software Engineering

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 45

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Luo, H., Sun, Q., Xu, C., Zhao, P., Lou, J., Tao, C., Geng, X., Lin, Q., Chen, S., Tang, Y., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 33

MonitorAssistant: simplifying cloud service monitoring via large language models

Yu, Z., Ma, M., Zhang, C., Qin, S., Kang, Y., Bansal, C., Rajmohan, S., Dang, Y., Pei, C., Pei, D., et al. (2024) · Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 32

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation

Feng, J., Sun, Q., Xu, C., Zhao, P., Yang, Y., Tao, C., Zhao, D., & Lin, Q. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsMultimodal Machine Learning Applications

Cited by 26

Large Language Model-Brained GUI Agents: A Survey

Zhang, C., He, S., Qian, J., Li, B., Li, L., Qin, S., Kang, Y., Ma, M., Liu, G., Lin, Q., et al. (2024) · arXiv

Robotic Process Automation ApplicationsSoftware Testing and Debugging Techniques

Cited by 10

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Pan, Z., Wu, Q., Jiang, H., Xia, M., Luo, X., Zhang, J., Lin, Q., Rühle, V., Yang, Y., Lin, C.-Y., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation

Feng, J., Sun, Q., Xu, C., Zhao, P., Yang, Y., Tao, C., Zhao, D., & Lin, Q. (2022) · arXiv

Speech and dialogue systemsMultimodal Machine Learning Applications

Cited by 0