| Load Shedding for Complex Event Processing: Input-based and State-based Techniques B Zhao, QVH Nguyen, M Weidlich 2020 IEEE 36th International Conference on Data Engineering (ICDE), 2020 | 40 | 2020 |
| EIRES: Efficient Integration of Remote Data in Event Stream Processing B Zhao, H van der Aa, TT Nguyen, QVH Nguyen, M Weidlich 2021 International Conference on Management of Data (SIGMOD), 2128–2141, 2021 | 24 | 2021 |
| Dependence-based code transformation for coarse-grained parallelism B Zhao, Z Li, A Jannesari, F Wolf, W Wu Proceedings of the 2015 International Workshop on Code Optimisation for …, 2015 | 16 | 2015 |
| Complex event processing under constrained resources by state-based load shedding B Zhao 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1699-1703, 2018 | 8 | 2018 |
| Beyond data parallelism: Identifying parallel tasks in sequential programs Z Li, B Zhao, A Jannesari, F Wolf Algorithms and Architectures for Parallel Processing: 15th International …, 2015 | 7 | 2015 |
| Adaptive incentive-based demand response with distributed non-compliance assessment G Raman, B Zhao, JCH Peng, M Weidlich Applied Energy 326, 2022 | 6 | 2022 |
| MSRL: Distributed Reinforcement Learning with Dataflow Fragments H Zhu, B Zhao, G Chen, W Chen, Y Chen, S Liang, Y Yang, P Pietzuch, ... USENIX Annual Technical Conference (ATC), 977--993, 2023 | 5 | 2023 |
| Dynamic Decision Making for Demand Response through Adaptive Event Stream Monitoring G Raman, JCH Peng, B Zhao, M Weidlich IEEE Power & Energy Society General Meeting (PESGM), 2019 | 3 | 2019 |
| 面向局部性和并行优化的循环分块技术 刘松， 伍卫国， 赵博， 蒋庆 计算机研究与发展 52 (5), 1160-1176, 2015 | 2 | 2015 |
| 一种面向循环优化和非规则代码段的粗粒度半自动并行化方法 刘松， 赵博， 蒋庆， 伍卫国 计算机学报 40 (9), 2127-2147, 2017 | 1 | 2017 |
| An Empirical Study on Low GPU Utilization of Deep Learning Jobs Y Gao, Y He, X Li, B Zhao, H Lin, Y Liang, J Zhong, H Zhang, J Wang, ... Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | | 2024 |
| Distributional Counterfactual Explanation With Optimal Transport L You, L Cao, M Nilsson, B Zhao, L Lei arXiv preprint arXiv:2401.13112, 2024 | | 2024 |
| TENPLEX: Changing Resources of Deep Learning Jobs using Parallelizable Tensor Collections M Wagenländer, G Li, B Zhao, L Mai, P Pietzuch https://arxiv.org/abs/2312.05181, 2023 | | 2023 |
| TurboStencil: You only compute once for stencil computation S Liu, X Wan, Z Zhang, B Zhao, W Wu Future Generation Computer Systems, 2023 | | 2023 |
| MSRL: Distributed Reinforcement Learning with Dataflow Fragments H Zhu, B Zhao, G Chen, W Chen, Y Chen, L Shi, Y Yang, P Pietzuch, ... https://doi.org/10.48550/arXiv.2210.00882, 2022 | | 2022 |
| State Management for Efficient Event Pattern Detection B Zhao Humboldt-Universität zu Berlin, 2022 | | 2022 |
| Future Scalable and Sustainable Data-Intensive Systems B Zhao | | |
Matthias WeidlichHumboldt-Universität zu Berlin在 hu-berlin.de 的电子邮件经过验证
