Summary
I am a post-doctoral researcher in the Department of Computing at Imperial College London, working in the Large-Scale Data & Systems (LSDS) group with Prof. Peter Pietzuch. My research interests include data stream management system, machine learning system, large-scale distributed data processing, and code optimization for parallel computing.
Before joining Imperial, I was a research assistant (link) and obtained my PhD in the Databases and Information Systems Group at Humboldt-Universität zu Berlin, supervised by Prof. Matthias Weidlich.
Publications
- Bo Zhao
State Management for Efficient Event Pattern Detection
Dissertation, Humboldt-Universität zu Berlin, 2022. - Bo Zhao, Han van der Aa, Nguyen Thanh Tam, Nguyen Quoc Viet Hung, Matthias Weidlich
EIRES: Efficient Integration of Remote Data in Event Stream Processing
In Proc. of the 47th ACM SIGMOD International Conference on Management of Data (SIGMOD), Xi'an, China, ACM, June 2021. - Bo Zhao, Nguyen Quoc Viet Hung, Matthias Weidlich
Load Shedding for Complex Event Processing: Input-based and State-based Techniques
In Proc. of the 36th IEEE International Conference on Data Engineering (ICDE), Dallas, TX, USA, IEEE, April 2020. - Gururaghav Raman, Jimmy Chih-Hsien Peng, Bo Zhao, Matthias Weidlich
Dynamic Decision Making for Demand Response through Adaptive Event Stream Monitoring
In Proc. of 2019 IEEE Power & Energy Society General Meeting (PESGM), Atlanta, GA, USA. IEEE, August 2019. - Bo Zhao
Complex Event Processing under Constrained Resources by State-based Load Shedding
In Proc. of the 34th IEEE International Conference on Data Engineering (ICDE), Paris, France, IEEE, April 2018.
Before PhD - Song Liu, Bo Zhao, Qing Jiang, Weiguo Wu
A Semi-Automatic Coarse-Grained Parallelization Approach for Loop Optimization And Irregular Code Sections
In Chinese Journal of Computers, 2017, 40(9): 2127-2147. - Bo Zhao, Zhen Li, Ali Jannesari, Felix Wolf, Weiguo Wu
Dependence-Based Code Transformation for Coarse-Grained Parallelism
In Proc. of the International Workshop on Code Optimisation for Multi and Many Cores (COSMIC) held in conjunction with CGO, San Francisco, CA, USA, ACM, February 2015. - Zhen Li, Bo Zhao, Ali Jannesari, Felix Wolf
Beyond Data Parallelism: Identifying Parallel Tasks in Sequential Programs
In Proc. of 15th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), Zhangjiajie, China, Lecture Notes in Computer Science, Springer, November 2015. - Song Liu, Weiguo Wu, Bo Zhao, Qing Jiang
Loop Tiling for Optimization of Locality and Parallelism
In Journal of Computer Research and Development, 2015, 52(5): 1160-1176.
Academic Services
PC Member: CIKM 2021, CIKM 2022
Availability Committee: SIGMOD 2022
Publications
Conference
Zhao B, van der Aa H, Thanh TN, et al. , 2021, EIRES: Efficient Integration of Remote Data in Event Stream Processing, ACM SIGMOD International Conference on Management of Data (SIGMOD), ASSOC COMPUTING MACHINERY, Pages:2128-2141, ISSN:0730-8078
Zhao B, Nguyen QVH, Weidlich M, 2020, Load Shedding for Complex Event Processing: Input-based and State-based Techniques, IEEE 36th International Conference on Data Engineering (ICDE), IEEE COMPUTER SOC, Pages:1093-1104, ISSN:1084-4627
Raman G, Peng JCH, Zhao B, et al. , 2019, Dynamic Decision Making for Demand Response through Adaptive Event Stream Monitoring, ISSN:1944-9925
Zhao B, 2018, Complex Event Processing under Constrained Resources by State-Based Load Shedding, 34th IEEE International Conference on Data Engineering Workshops (ICDEW), IEEE, Pages:1699-1703, ISSN:1084-4627
Zhao B, Li Z, Jannesari A, et al. , 2015, Dependence-Based Code Transformation for Coarse-Grained Parallelism, COSMIC '15: International Workshop on Code Optimisation for Multi and Many Cores, ACM