About Me
Hi! I am currently a Ph.D. student at school of data science and engineering (DASE), ECNU. My research interests are blockchain systems.
More specifically, I am committed to building high-performance, reliable, secure permissioned blockchain/ledger systems from the perspectives of system architecture, sharding, authenticated data structures, zkRollup and etc.
If you are interested in my works, please follow me on ResearchGate for latest updates.
I am the founder and maintainer of 1000+ stars GitHub repo ccf-deadlines that helps researchers track deadlines of cs conferences.
I have broad interests in cryptography, graph databases, and TEEs. I am still twisting and struggling with indirect hesitation and persistence, to catch up my important 3 SIGMOD deadlines.
Contact
wechatid: czh199638
email: chenzh@stu.ecnu.edu.cn
Publications
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BlockOPE: Efficient Order-Preserving Encryption for Permissioned Blockchain
Zhihao Chen, Qingqing Li, Xiaodong Qi, Zhao Zhang, Cheqing Jin, Aoying Zhou
In Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE 2022), Pages TBD, Kuala Lumpur, Malaysia, May, 2022.
[slides] [video] -
SChain: A Scalable Consortium Blockchain Exploiting Intra- and Inter-Block Concurrency
Zhihao Chen, Haizhen Zhuo, Quanqing Xu, Xiaodong Qi, Chengyu Zhu, Zhao Zhang, Cheqing Jin, Aoying Zhou, Ying Yan, Hui Zhang
In Proceedings of the 47th International Conference on Very Large Data Bases (VLDB 2021), pages 2799-2802, Copenhagen, Denmark, August, 2021.
[paper] [slides] [poster] [video] -
PEEP: A Parallel Execution Engine for Permissioned Blockchain Systems
Zhihao Chen, Xiaodong Qi, Xiaofan Du, Zhao Zhang, Cheqing Jin
In Proceedings of the 26th International Conference on Database Systems for Advanced Applications (DASFAA 2021), Part III, Pages 341-357, Taipei, China, April, 2021.
[paper] [slides] [video] -
A Byzantine Fault Tolerant Storage for Permissioned Blockchain
Xiaodong Qi, Zhihao Chen, Zhao Zhang, Cheqing Jin, Aoying Zhou, Haizhen Zhuo, Quanqing Xu
In Proceedings of the 40th ACM SIGMOD International Conference on Management of Data (SIGMOD 2021), Pages 2770-2774, Xi'an, China, June, 2021.
[paper] [video]