Projects per year
Personal profile
Name in Chinese
吳道遠
Biography
Dr. Daoyuan Wu is currently an Assistant Professor at School of Data Science in Lingnan University (LU). He is leading the AIS2Lab (Artificial Intelligence and Systems Security Lab) at LU. For details, please visit his lab page at https://AIS2Lab.github.io and his homepage at https://daoyuan14.github.io.
[Positions in 2026] We are hiring one postdoc or two RAs who (try to) understand GPU software security or medical system security.
We are always looking for students (PhDs/interns) with persistence in AI/LLM;Blockchain/GPU/MedicalSoftware;PL/Fuzzing to join AIS2Lab.
吴道远博士现任香港岭南大学助理教授、博士生导师，并创立人工智能与系统安全实验室AIS2Lab。此前，他在香港中文大学担任研究助理教授（三年独立 PI），期间成功指导一名博士生顺利毕业；其后分别在香港华为研究院、南洋理工大学和香港科技大学担任高级研究员及研究助理教授。吴博士团队的研究聚焦于大模型赋能安全、智能体安全、区块链安全、AI 基础软件和智能医疗设备安全。近年已发表 29 篇 CCF-A 类安全与软工顶会论文和 7 篇 CCF-A 顶刊论文，并获得安全四大会之一的 NDSS 2025 杰出论文奖、区块链基金会学术科研奖基金、CCF–华为胡杨林系统软件专项基金等多项荣誉。AIS2Lab常年有RA/Postdoc职位和可能的博士名额，欢迎邮件咨询。
Research interests
Large Language Model and AI Security: LLMs for Cybersecurity; Security of LLMs; AI Safety.
Blockchain and Smart Contract Security: Chain & DeFi Security, Consensus Security, Transaction Compliance.
GPU Software and Medical System Security: AI Infrastructure Security; Healthcare and Medical Security; EdgeAI Security.
Novel Program Analysis and Mobile Security: Novel Program Analysis & Fuzzing; LLM for Mobile; EdgeAI Security.
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Collaborations and top research areas from the last five years
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Projects
- 6 Active
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(Non-LU) Navigating AI Regulations: Participatory standard-setting, firm compliance, and self-regulation
LIU, N. (PI) & WU, D. (CoI)
1/01/26 → 31/12/28
Project: Non-LU Projects
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Evolving LLMs for Whole-Cycle Smart Contract Vulnerability Analysis: A RAG-based Framework
WU, D. (PI)
1/01/26 → 31/08/27
Project: Grant Research
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Combining Rigorous Static Analysis and Flexible LLM Analysis for Exploitable Reentrancy Vulnerabilities
WU, D. (PI)
1/01/26 → 31/08/27
Project: Grant Research
Research output
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ACFix: Guiding LLMs with Mined Common RBAC Practices for Context-Aware Repair of Access Control Vulnerabilities in Smart Contracts
ZHANG, L., LI, K., SUN, K., WU, D., LIU, Y., TIAN, H. & LIU, Y., Sept 2025, In: IEEE Transactions on Software Engineering. 51, 9, p. 2512-2532 21 p., 11086587.Research output: Journal Publications › Journal Article (refereed) › peer-review
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Advanced Smart Contract Vulnerability Detection via LLM-Powered Multi-Agent Systems
WEI, Z., SUN, J., SUN, Y., LIU, Y., WU, D., ZHANG, Z., ZHANG, X., LI, M., LIU, Y., LI, C., WAN, M., DONG, J. & ZHU, L., Oct 2025, In: IEEE Transactions on Software Engineering. 51, 10, p. 2830-2846 17 p.Research output: Journal Publications › Journal Article (refereed) › peer-review
3 Citations (Scopus) -
API-Guided Dataset Synthesis to Finetune Large Code Models
LI, Z., WU, D., WANG, S. & SU, Z., Apr 2025, In: Proceedings of the ACM on Programming Languages. 9, OOPSLA1, p. 786-815 30 p.Research output: Journal Publications › Journal Article (refereed) › peer-review
Open Access3 Citations (Scopus)
Prizes
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Distinguished Paper Award at NDSS Symposium 2025 (Non-LU)
LIU, Y. (Recipient), XUE, Y. (Recipient), WU, D. (Recipient), SUN, Y. (Recipient), LI, Y. (Recipient), SHI, M. (Recipient) & LIU, Y. (Recipient), Feb 2025
Prize: Prize (CDCF)
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