Biography
Zongwei Li is a Ph.D. Candidate in Cyberspace Security at Hainan University, supervised by Prof. Xiaoqi Li(李晓琦). His research interests lie in blockchain security, smart contract vulnerability detection, and the application of AI in software security. He has published papers at top-tier conferences such as WWW and AAAI. His work has been recognized with the National Scholarship and multiple awards.
Education
- B.Sc. Internet of Things Engineering, Xihua University.
- M.Sc. Cyberspace Security, Hainan University.
- Ph.D. Cyberspace Security, Hainan University. (Present)
Research Interests
- Blockchain, Software Engineering, Artificial Intelligence
Selected Awards
- National Scholarship, 2024
- Outstanding Graduate Student, Hainan University, 2024
- Outstanding Paper Award, Journal of Information Security Research, 2023-2024
- Outstanding Academic Report Award, Hainan University, 2024
- BlackHat Asia Scholarship, 2025
- Outstanding Graduate, Hainan University, 2025
- Person of the Year Award, Hainan University, 2025
- Silver Medal, The 11th China International Invention Exhibition, 2025
- Second Prize, Hainan Province AI Education and Teaching Achievement Award, Hainan Association for Artificial Intelligence, 2026
- First Prize, National University Algorithm Courses and Programming Design Competition, Computer Education Research Association of Chinese Universities, 2026
Participated Research Projects
- CCF-Tencent Rhino-Bird Fund Project (CCF-Tencent RAGR20230115), 2023~2024.
- National Natural Science Foundation of China (No. 62362021, No. 62402146), 2024~Present.
Selected Publications | More in Google Scholar
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No More Hidden Pitfalls? Exposing Smart Contract Bad Practices with LLM-Powered Hybrid Analysis
[PDF]
Xiaoqi Li, Zongwei Li*, Wenkai Li, Yuqing Zhang, Xin Wang
[ACM Transactions on Software Engineering and Methodology, (TOSEM'26)]
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AtomGraph: Tackling Atomicity Violation in Smart Contracts using Multimodal GCNs
[PDF]
Xiaoqi Li, Zongwei Li*, Wenkai Li, Zeng Zhang, Lei Xie
[2026 IEEE/ACM 48th International Conference on Software Engineering, (ICSE'26)]
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SCALM: Detecting Bad Practices in Smart Contracts through LLMs
[PDF]
Zongwei Li, Xiaoqi Li*, Wenkai Li, Xin Wang
[The 39th AAAI Conference on Artificial Intelligence, (AAAI'25)]
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Guardians of the Ledger: Protecting Decentralized Exchanges from State Derailment Defects
[PDF]
Zongwei Li, Wenkai Li, Xiaoqi Li*, Yuqing Zhang
[IEEE Transactions on Reliability, (TRel'24)]
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StateGuard: Detecting State Derailment Defects in Decentralized Exchange Smart Contract
[PDF]
Zongwei Li, Wenkai Li, Xiaoqi Li*, Yuqing Zhang
[The 33rd ACM International World Wide Web Conference, (WWW'24)]
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Towards a Privacy-preserving Research for AI and Blockchain Integration
[PDF]
Zongwei Li, Dechao Kong, Yuanzheng Niu, Hongli Peng, Xiaoqi Li*, Wenkai Li
[Journal of Information Security Research, 2023 (CCF-T3,Excellent Paper Award 2023-2024)]
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COBRA: Interaction-Aware Bytecode-Level Vulnerability Detector for Smart Contracts
[PDF]
Wenkai Li, Xiaoqi Li*, Zongwei Li, Yuqing Zhang
[The 39th IEEE/ACM International Conference on Automated Software Engineering (ASE'24)]
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DeFi Protocol Inspection through Cross-Contract Execution Analysis
[PDF]
Wenkai Li, Xiaoqi Li*, Yuqing Zhang, Zongwei Li
[The 33rd ACM International World Wide Web Conference, (WWW'24)]
Others
- Common Vulnerabilities and Exposures (CVE): CVE-2023-47033, CVE-2023-47034, CVE-2023-47035, CVE-2025-57247
- China Patent, Method and System for Smart Contract Code Auditing Using Retrieval-Augmented Generation and Step-Back Prompting (ZL 202411458762.6), 2025.
- China Software Copyright, Retrieval-Augmented Generation and Multi-Model Collaboration Based Smart Contract Security Audit Software (2025SR0397291), 2025.
- China Software Copyright, State Defect-Aware Smart Contract Detection Software (2024SR0268508), 2024.
- China Software Copyright, Malicious Behavior Detection Software for Decentralized Financial Protocols (2024SR0384256), 2024.
- China Software Copyright, Interactive Perception Smart Contract Vulnerability Detection Software (2023SR1384723), 2023.