| Building AI Agents for Autonomous Clouds: Challenges and Design Principles M Shetty, Y Chen, G Somashekar, M Ma, Y Simmhan, X Zhang, J Mace, ... arXiv preprint arXiv:2407.12165, 2024 | | 2024 |
| MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models Z Yu, M Ma, C Zhang, S Qin, Y Kang, C Bansal, S Rajmohan, Y Dang, ... Companion Proceedings of the 32nd ACM International Conference on the …, 2024 | 1 | 2024 |
| Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4 X Zhang, S Ghosh, C Bansal, R Wang, M Ma, Y Kang, S Rajmohan Companion Proceedings of the 32nd ACM International Conference on the …, 2024 | 6 | 2024 |
| A Scenario-Oriented Benchmark for Assessing AIOps Algorithms in Microservice Management Y Sun, J Wang, Z Li, X Nie, M Ma, S Zhang, Y Ji, L Zhang, W Long, ... arXiv preprint arXiv:2407.14532, 2024 | | 2024 |
| Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis S Zhang, S Xia, W Fan, B Shi, X Xiong, Z Zhong, M Ma, Y Sun, D Pei arXiv preprint arXiv:2407.01710, 2024 | | 2024 |
| Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection J Liu, C Zhang, J Qian, M Ma, S Qin, C Bansal, Q Lin, S Rajmohan, ... arXiv preprint arXiv:2405.15370, 2024 | 2 | 2024 |
| Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective Z Wang, C Pei, M Ma, X Wang, Z Li, D Pei, S Rajmohan, D Zhang, Q Lin, ... Proceedings of the ACM on Web Conference 2024, 3096-3105, 2024 | 4 | 2024 |
| Automatic root cause analysis via large language models for cloud incidents Y Chen, H Xie, M Ma, Y Kang, X Gao, L Shi, Y Cao, X Gao, H Fan, M Wen, ... Proceedings of the Nineteenth European Conference on Computer Systems, 674-688, 2024 | 38* | 2024 |
| Xpert: Empowering incident management with query recommendations via large language models Y Jiang, C Zhang, S He, Z Yang, M Ma, S Qin, Y Kang, Y Dang, ... Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 15 | 2024 |
| AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models C Zhang, Z Ma, Y Wu, S He, S Qin, M Ma, X Qin, Y Kang, Y Liang, X Gou, ... arXiv preprint arXiv:2403.15157, 2024 | 2 | 2024 |
| Ufo: A ui-focused agent for windows os interaction C Zhang, L Li, S He, X Zhang, B Qiao, S Qin, M Ma, Y Kang, Q Lin, ... arXiv preprint arXiv:2402.07939, 2024 | 15 | 2024 |
| Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction H Li, M Ma, Y Liu, P Zhao, L Zheng, Z Li, Y Dang, M Chintalapati, ... arXiv preprint arXiv:2402.00034, 2024 | | 2024 |
| Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space Z Xie, S Zhang, Y Geng, Y Zhang, M Ma, X Nie, Z Yao, L Xu, Y Sun, W Li, ... | | 2024 |
| Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer Z Yu, C Pei, X Wang, M Ma, C Bansal, S Rajmohan, Q Lin, D Zhang, ... | | 2024 |
| Detection is better than cure: A cloud incidents perspective V Ganatra, A Parayil, S Ghosh, Y Kang, M Ma, C Bansal, S Nath, J Mace Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 8 | 2023 |
| TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems R Ding, C Zhang, L Wang, Y Xu, M Ma, X Wu, M Zhang, Q Chen, X Gao, ... Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 6 | 2023 |
| Assess and summarize: Improve outage understanding with large language models P Jin, S Zhang, M Ma, H Li, Y Kang, L Li, Y Liu, B Qiao, C Zhang, P Zhao, ... Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 20 | 2023 |
| Taskweaver: A code-first agent framework B Qiao, L Li, X Zhang, S He, Y Kang, C Zhang, F Yang, H Dong, J Zhang, ... arXiv preprint arXiv:2311.17541, 2023 | 14 | 2023 |
| Everything of thoughts: Defying the law of penrose triangle for thought generation R Ding, C Zhang, L Wang, Y Xu, M Ma, W Zhang, S Qin, S Rajmohan, ... arXiv preprint arXiv:2311.04254, 2023 | 28 | 2023 |
| Codec: Cost-effective duration prediction system for deadline scheduling in the cloud H Li, M Ma, Y Liu, S Qin, B Qiao, R Yao, H Chaturvedi, T Tran, ... 2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023 | 2 | 2023 |
Dan PeiAssociate Professor of Computer Science, Tsinghua UniversityVerified email at tsinghua.edu.cn