Zhiyong Wu

According to our database, Zhiyong Wu authored at least 21 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Hulk: Exploring Data-Sensitive Performance Anomalies in DBMSs via Data-Driven Analysis.

Zhiyong Wu, Jie Liang, Jingzhou Fu, Mingzhe Wang, Yu Jiang

Proc. ACM Softw. Eng., 2025

DepState: Detecting Synchronization Failure Bugs in Distributed Database Management Systems.

Cundi Fang, Jie Liang, Zhiyong Wu, Jingzhou Fu, Zhouyang Jia, Chun Huang, Yu Jiang, Shanshan Li

Proc. ACM Softw. Eng., 2025

DDLumos: Understanding and Detecting Atomic DDL Bugs in DBMSs.

Zhiyong Wu, Jie Liang, Jingzhou Fu, Wenqian Deng, Yu Jiang

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

Thanos: DBMS Bug Detection via Storage Engine Rotation Based Differential Testing.

Ying Fu, Zhiyong Wu, Yuanliang Zhang, Jie Liang, Jingzhou Fu, Yu Jiang, Shanshan Li, Xiangke Liao

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Coni: Detecting Database Connector Bugs via State-Aware Test Case Generation.

Wenqian Deng, Jie Liang, Zhiyong Wu, Jingzhou Fu, Mingzhe Wang, Yu Jiang

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

PUPPY: Finding Performance Degradation Bugs in DBMSs via Limited-Optimization Plan Construction.

Zhiyong Wu, Jie Liang, Jingzhou Fu, Mingzhe Wang, Yu Jiang

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Understanding and Detecting SQL Function Bugs: Using Simple Boundary Arguments to Trigger Hundreds of DBMS Bugs.

Jingzhou Fu, Jie Liang, Zhiyong Wu, Yanyang Zhao, Shanshan Li, Yu Jiang

Proceedings of the Twentieth European Conference on Computer Systems, 2025

2024

Data Coverage for Guided Fuzzing.

Mingzhe Wang, Jie Liang, Chijin Zhou, Zhiyong Wu, Jingzhou Fu, Zhuo Su, Qing Liao, Bin Gu, Bodong Wu, Yu Jiang

Proceedings of the 33rd USENIX Security Symposium, 2024

WingFuzz: Implementing Continuous Fuzzing for DBMSs.

Jie Liang, Zhiyong Wu, Jingzhou Fu, Yiyuan Bai, Qiang Zhang, Yu Jiang

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

When Fuzzing Meets LLMs: Challenges and Opportunities.

Yu Jiang, Jie Liang, Fuchen Ma, Yuanliang Chen, Chijin Zhou, Yuheng Shen, Zhiyong Wu, Jingzhou Fu, Mingzhe Wang, Shanshan Li, Quan Zhang

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Dodrio: Parallelizing Taint Analysis Based Fuzzing via Redundancy-Free Scheduling.

Jie Liang, Mingzhe Wang, Chijin Zhou, Zhiyong Wu, Jianzhong Liu, Yu Jiang

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Sedar: Obtaining High-Quality Seeds for DBMS Fuzzing via Cross-DBMS SQL Transfer.

Jingzhou Fu, Jie Liang, Zhiyong Wu, Yu Jiang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Mozi: Discovering DBMS Bugs via Configuration-Based Equivalent Transformation.

Jie Liang, Zhiyong Wu, Jingzhou Fu, Mingzhe Wang, Chengnian Sun, Yu Jiang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

Towards Better Semantics Exploration for Browser Fuzzing.

Chijin Zhou, Quan Zhang, Lihua Guo, Mingzhe Wang, Yu Jiang, Qing Liao, Zhiyong Wu, Shanshan Li, Bin Gu

Proc. ACM Program. Lang., October, 2023

Sequence-Oriented DBMS Fuzzing.

Jie Liang, Yaoguang Chen, Zhiyong Wu, Jingzhou Fu, Mingzhe Wang, Yu Jiang, Xiangdong Huang, Ting Chen, Jiashui Wang, Jiajia Li

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

PATA: Fuzzing with Path Aware Taint Analysis.

Jie Liang, Mingzhe Wang, Chijin Zhou, Zhiyong Wu, Yu Jiang, Jianzhong Liu, Zhe Liu, Jiaguang Sun

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Odin: on-demand instrumentation with on-the-fly recompilation.

Mingzhe Wang, Jie Liang, Chijin Zhou, Zhiyong Wu, Xinyi Xu, Yu Jiang

Proceedings of the PLDI '22: 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, San Diego, CA, USA, June 13, 2022

Griffin : Grammar-Free DBMS Fuzzing.

Jingzhou Fu, Jie Liang, Zhiyong Wu, Mingzhe Wang, Yu Jiang

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Unicorn: detect runtime errors in time-series databases with hybrid input synthesis.

Zhiyong Wu, Jie Liang, Mingzhe Wang, Chijin Zhou, Yu Jiang

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

2021

Industrial Oriented Evaluation of Fuzzing Techniques.

Mingzhe Wang, Jie Liang, Chijin Zhou, Yuanliang Chen, Zhiyong Wu, Yu Jiang

Proceedings of the 14th IEEE Conference on Software Testing, Verification and Validation, 2021

Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing.

Mingzhe Wang, Zhiyong Wu, Xinyi Xu, Jie Liang, Chijin Zhou, Huafeng Zhang, Yu Jiang

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2021