Yicong Zhu

dblp:295/1506 · DBLP profile ↗
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5ranked-venue papers
0as first author
5since 2021 · last 2026
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 2 since 2021Theory of computation · 2 · 2 since 2021Security and privacy · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021
YearPublicationVenuePosition
2026 PolarStore: High-Performance Data Compression for Large-Scale Cloud-Native Databases
Qingda Hu, Xinjun Yang, Feifei Li 0001, Ya Lin, Yicong Zhu, Rongbiao Xie, Bin Wu 0003, Wenchao Zhou
FAST7
2026 Parameterized algorithms and complexity for scheduling with precedence constraints and time windows
Feng Shi 0003, Na Feng, Yicong Zhu, Guangwei Wu
Theor. Comput. Sci.3
2025 Improved Parameterized Algorithms for Scheduling with Precedence Constraints and Time Windows
Feng Shi 0003, Yicong Zhu, Guangwei Wu, Jianxin Wang 0001
COCOON (2)2
2022 Compositional Model Checking of Consensus Protocols via Interaction-Preserving Abstraction
abstract
Consensus protocols are widely used in building reliable distributed software systems and their correctness is of vital importance. TLA+ is a lightweight formal specification language which enables precise specification of system design and exhaustive checking of the design without any human effort. The features of TLA+ make it widely used in the specification and model checking of consensus protocols, both in academia and in industry. However, the application of TLA+ is limited by the state explosion problem in model checking. Though compositional model checking is essential to tame the state explosion problem, existing compositional checking techniques do not sufficiently consider the characteristics of TLA+. In this work, we propose the Interaction-Preserving Abstraction (IPA) framework, which leverages the features of TLA+ and enables practical and efficient compositional model checking of consensus protocols specified in TLA+. In the IPA framework, system specification is partitioned into multiple modules, and each module is divided into the internal part and the interaction part. The basic idea of the interaction-preserving abstraction is to omit the internal part of each module, such that another module cannot distinguish whether it is interacting with the original module or the coarsened abstract one. We apply the IPA framework to the compositional checking of the TLA+ specifications of two consensus protocols Raft and ParallelRaft. Raft is a consensus protocol which was originally developed in academia and then widely used in industry. ParallelRaft is the replication protocol in PolarFS, the distributed file system for the commercial database Alibaba PolarDB. We demonstrate that the IPA framework is easy to use in realistic scenarios and at the same time significantly reduces the model checking cost.
Xiaosong Gu, Yicong Zhu, Yu Huang 0002, Xiaoxing Ma
SRDS3
2022 Scalable multiscale modeling of platelets with 100 million particles
Changnian Han, Yicong Zhu, Guojing Cong, James R. Kozloski, Chih-Chieh Yang, Leili Zhang, Yuefan Deng
J. Supercomput.3