PhD student @ Northeastern UniversityI am a Ph.D. student in Computer Science at Northeastern University (China), supervised by Prof. Yanfeng Zhang.
I’m interested in building distributed database systems, cloud-native databases, transaction processing, and new hardware for databases.
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Northeastern UniversityPh.D. StudentSep. 2023 - present
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Northeastern UniversityM.S. in Computer ScienceSep. 2020 - Jul. 2023
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Harbin University of Science and TechnologyB.S. in Computer ScienceSep. 2016 - Jul. 2020
Honors & Awards
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Liaoning Province Outstanding Master's Thesis Award2023
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Northeastern University Outstanding Master's Thesis Award2023
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Lan Qiao Cup, Heilongjiang Division, First Prize2019
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ACM International Collegiate Programming Contest (Qingdao), Silver Medal2017
Participated Research Projects
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National Key Research and Development Program of ChinaDatabase Storage Systems Based on Non-Volatile MemoryDec. 2023 – Nov. 2026
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Huawei Database System Scalability ResearchSep. 2024 - Aug. 2027
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CCF-Huawei Database Innovation Research ProgramCoordination-Free Distributed Transaction Processing Mechanism for Cross-Region High Availability (CCF-HuaweiDBIR2020009B)Outstanding Project of the YearSep. 2020 - Apr. 2023
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CCF-Huawei Huyanglin FundMulti-Master Cloud Native Database Based on Coordination-Free Strong Consistency Technology (CCF-HuaweiDBIR2022003B)Outstanding Project of the YearSep. 2022 - Jul. 2024
Selected Publications (view all )
Concurrency Control as a Service
Weixing Zhou, Yanfeng Zhang, Xinji Zhou, Zhiyou Wang, Zeshun Peng,, Yang Ren, Sihao Li, Huanchen Zhang, Guoliang Li, Ge Yu
Proceedings of the International Conference on Vary Large Data Bases (VLDB) 2025
Existing disaggregated databases simply couple CC either with the execution layer or the storage layer, which limits the performance and elasticity of these systems. This paper proposes Concurrency Control as a Service (CCaaS), which decouples CC from databases, building an execution-CC-storage three-layer decoupled database, allowing independent scaling and upgrades for improved elasticity, resource utilization, and development agility.
Concurrency Control as a Service
Weixing Zhou, Yanfeng Zhang, Xinji Zhou, Zhiyou Wang, Zeshun Peng,, Yang Ren, Sihao Li, Huanchen Zhang, Guoliang Li, Ge Yu
Proceedings of the International Conference on Vary Large Data Bases (VLDB) 2025
Existing disaggregated databases simply couple CC either with the execution layer or the storage layer, which limits the performance and elasticity of these systems. This paper proposes Concurrency Control as a Service (CCaaS), which decouples CC from databases, building an execution-CC-storage three-layer decoupled database, allowing independent scaling and upgrades for improved elasticity, resource utilization, and development agility.
MassBFT: Fast and Scalable Geo-Distributed Byzantine Fault-Tolerant Consensus
Zeshun Peng, Yanfeng Zhang, Tinghao Feng, Weixing Zhou, Xiaohua Li, Ge Yu
Proceedings of the International Conference on Data Engineering (ICDE) 2025
In this work, we present MassBFT, a Byzantine fault-tolerant geoconsensus protocol that achieves high performance and scalability. We design an encoded bijective log replication to eliminate the leader bottleneck and reduce the cross-datacenter network consumption. We also propose asynchronous log ordering to eliminate synchronization across groups.
MassBFT: Fast and Scalable Geo-Distributed Byzantine Fault-Tolerant Consensus
Zeshun Peng, Yanfeng Zhang, Tinghao Feng, Weixing Zhou, Xiaohua Li, Ge Yu
Proceedings of the International Conference on Data Engineering (ICDE) 2025
In this work, we present MassBFT, a Byzantine fault-tolerant geoconsensus protocol that achieves high performance and scalability. We design an encoded bijective log replication to eliminate the leader bottleneck and reduce the cross-datacenter network consumption. We also propose asynchronous log ordering to eliminate synchronization across groups.
GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database
Weixing Zhou*, Qi Peng, Zijie Zhang, Yanfeng Zhang, Yang Ren, Sihao Li, Guo Fu, Yulong Cui, Caiyi Wu, Shangjun Han, Shengyi Wang, Guoliang li, Ge Yu
Proceedings of the International Conference on Management of Data (SIGMOD) 2023
In this work, we propose a strongly consistent OLTP database GeoGauss with full replica multi-master architecture. To efficiently merge the updates from different master nodes, we propose a multi-master OCC that unifies data replication and concurrent transaction processing. By leveraging an epoch-based delta state merge rule and the optimistic asynchronous execution, GeoGauss ensures strong consistency with light-coordinated protocol and allows more concurrency with weak isolation, which are sufficient to meet our needs
GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database
Weixing Zhou*, Qi Peng, Zijie Zhang, Yanfeng Zhang, Yang Ren, Sihao Li, Guo Fu, Yulong Cui, Caiyi Wu, Shangjun Han, Shengyi Wang, Guoliang li, Ge Yu
Proceedings of the International Conference on Management of Data (SIGMOD) 2023
In this work, we propose a strongly consistent OLTP database GeoGauss with full replica multi-master architecture. To efficiently merge the updates from different master nodes, we propose a multi-master OCC that unifies data replication and concurrent transaction processing. By leveraging an epoch-based delta state merge rule and the optimistic asynchronous execution, GeoGauss ensures strong consistency with light-coordinated protocol and allows more concurrency with weak isolation, which are sufficient to meet our needs