| CocoSketch: High-Performance Sketch-Based Measurement Over Arbitrary Partial Key Query R Miao, Y Zhang, Z Zheng, R Wang, R Zhang, T Yang, Z Liu, J Jiang IEEE/ACM Transactions on Networking, 2023 | 105 | 2023 |
| Hypercalm sketch: One-pass mining periodic batches in data streams Z Liu, C Kong, K Yang, T Yang, R Miao, Q Chen, Y Zhao, Y Tu, B Cui 2023 IEEE 39th International Conference on Data Engineering (ICDE), 14-26, 2023 | 7 | 2023 |
| Chamelemon: Shifting measurement attention as network state changes K Yang, Y Wu, R Miao, T Yang, Z Liu, Z Xu, R Qiu, Y Zhao, H Lv, Z Ji, ... Proceedings of the ACM SIGCOMM 2023 Conference, 881-903, 2023 | 4 | 2023 |
| Sketchconf: A framework for automatic sketch configuration R Miao, F Dong, Y Zhao, Y Zhao, Y Wu, K Yang, T Yang, B Cui 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2022-2035, 2023 | 4 | 2023 |
| BurstSketch: Finding Bursts in Data Streams R Miao, Z Zhong, J Guo, Z Li, T Yang, B Cui IEEE Transactions on Knowledge and Data Engineering 35 (11), 11126-11140, 2022 | 2 | 2022 |
| Hyper-USS: Answering Subset Query Over Multi-Attribute Data Stream R Miao, Y Zhang, G Qu, K Yang, T Yang, B Cui Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
| {AAsclepius}: Monitoring, Diagnosing, and Detouring at the Internet Peering Edge K Yang, Y Li, S Long, T Yang, R Miao, Y Zhao, C Ji, P Mi, G Yang, Q Xie, ... 2023 USENIX Annual Technical Conference (USENIX ATC 23), 655-671, 2023 | 1 | 2023 |
| An Efficient Inference Framework for Early-exit Large Language Models R Miao, Y Yan, X Yao, T Yang arXiv preprint arXiv:2407.20272, 2024 | | 2024 |
