| Outage prediction and diagnosis for cloud service systems Y Chen, X Yang, Q Lin, H Zhang, F Gao, Z Xu, Y Dang, D Zhang, H Dong, ... The World Wide Web Conference, 2659-2665, 2019 | 79 | 2019 |
| Identifying linked incidents in large-scale online service systems Y Chen, X Yang, H Dong, X He, H Zhang, Q Lin, J Chen, P Zhao, Y Kang, ... Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 36 | 2020 |
| Modeling and change detection for count-weighted multilayer networks H Dong, N Chen, K Wang Technometrics 62 (2), 184-195, 2020 | 25 | 2020 |
| Wafer yield prediction using derived spatial variables H Dong, N Chen, K Wang Quality and Reliability Engineering International 33 (8), 2327-2342, 2017 | 20 | 2017 |
| 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 | 12 | 2023 |
| Introspective Tips: Large Language Model for In-Context Decision Making L Chen, L Wang, H Dong, Y Du, J Yan, F Yang, S Li, P Zhao, S Qin, ... arXiv preprint arXiv:2305.11598, 2023 | 11 | 2023 |
| Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System X Sun, H Cheng, H Dong, B Qiao, S Qin, Q Lin IEEE Transactions on Knowledge and Data Engineering, 2023 | 6 | 2023 |
| Predictive Job Scheduling under Uncertain Constraints in Cloud Computing. H Dong, B Wang, B Qiao, W Xing, C Luo, S Qin, Q Lin, D Zhang, G Virdi, ... IJCAI, 3627-3634, 2021 | 4 | 2021 |
| Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning J Sheng, L Wang, F Yang, B Qiao, H Dong, X Wang, B Jin, J Wang, S Qin, ... Proceedings of the ACM Web Conference 2023, 2927-2936, 2023 | 3 | 2023 |
| Interaction Event Network Modeling based on Temporal Point Process H Dong, K Wang IISE Transactions, 2021 | 2 | 2021 |
| Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction Z Zhu, L Wang, P Zhao, C Du, W Zhang, H Dong, B Qiao, Q Lin, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
| Allocating computing resources for deferrable virtual machines Y Yuwen, G Virdi, B Qiao, H Dong, K Subramanian, M Lalic, S Zhou, ... US Patent App. 17/229,551, 2022 | 1 | 2022 |
| Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property B Wang, J Yi, H Dong, B Qiao, C Luo, Q Lin International Conference on Learning Representations, 2021 | 1 | 2021 |
| Effective low capacity status prediction for cloud systems H Dong, S Qin, Y Xu, B Qiao, S Zhou, X Yang, C Luo, P Zhao, Q Lin, ... Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 1 | 2021 |
| Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning L Wang, M Das, F Yang, J Sheng, B Qiao, H Dong, S Qin, V Rühle, ... arXiv preprint arXiv:2401.07033, 2024 | | 2024 |
| COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy L Wang, M Das, F Yang, C Duo, B Qiao, H Dong, S Qin, C Bansal, Q Lin, ... arXiv preprint arXiv:2401.07051, 2024 | | 2024 |
| Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem T Cheng, H Dong, L Wang, B Qiao, S Qin, Q Lin, D Zhang, S Rajmohan, ... Companion Proceedings of the ACM Web Conference 2023, 391-395, 2023 | | 2023 |
