教师介绍

肖艳，副教授，硕士生导师，中山大学“百人计划”引进人才、逸仙学者，教育部及广东省级青年人才，香港城市大学博士，曾担任新加坡国立大学研究员。长期从事人工智能可信性分析以及软件缺陷定位研究，包括大模型推理、智能体安全、自动驾驶的可信度评估。研究属于软件工程和人工智能领域，涉及软件缺陷定位、软件代码可读性、软件集成测试等应用领域。在TDSC、TIFS、ICSE、ASE、TOSEM和TSE等软件工程和安全顶级会议/期刊上发表论文60余篇，发明/授权中国发明专利10余项。指导的本科生以一作身份发表了2篇CCF-A 论文，并且指导本科生获得中山大学2025及2026届校级优秀本科毕业论文。

 

研究方向

大模型：大模型推理、AI Agent等

软件工程：软件缺陷定位、漏洞挖掘、自动驾驶系统安全等

网络安全：网络告警预测、网络流量分类、分段路由分析等

 

*课题组长期与新加坡国立大学、香港城市大学、不列颠哥伦比亚大学（University of British Columbia）、乔治梅森大学（George Mason University）、上海交通大学等海内外高校保持合作，同时与腾讯、字节、货拉拉等企业保持合作，欢迎对科研有浓厚兴趣、有志于攻读硕士/博士的同学与我联系，同时欢迎对以上研究方向感兴趣的本科同学加入课题组实习!

*课题组长期招聘博士后，欢迎联系!

 

联系方式

邮箱：xiaoy367@mail.sysu.edu.cn
主页：https://yanxiao6.github.io/
DBLP：https://dblp.org/pid/00/6220-2.html
谷歌学术: https://scholar.google.com/citations?user=rSL_uscAAAAJ

 

教育与工作经历

2016.09-2019.10，香港城市大学，计算机科学，博士

2019.11-2023.05，新加坡国立大学，计算机科学，研究员

2023.06-至今，中山大学，网络空间安全学院，副教授

 

代表性论文

LLM推理

  1. Xiaoyue Lu#, Xianglin Yang#*, Haijun Liu, Jiahao Liu, Kuntai Cai, Yan Xiao*, Jin Song Dong. Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications. The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026. (CCF-A)

  2. Wengiang Wang, Wen Yujia, Yan Xiao, Zhifeng Chen, Yangshijie Zhang, Peng Chen, Mingbo Yang,Xiaochun Cao. Incomplete In-context Learning. The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026. (CCF-A)

  3. Wenqiang Wang, Peng Chen, Yan Xiao, Yangshjie Zhang , Xiaoyue Lu, Jianjie huang, Xiaochun Cao.Task-Related In-Context Learning. The 64th Annual Meeting of the Association for Computational Linguistics (ACL) Findings, 2026.

  4. Xinyue Zuo, Yan Xiao*, Xiaochun Cao, Wenya Wang, Jin Song Dong. DT4LM: Differential Testing for Reliable Language Model Updates in Classification Tasks. IEEE Transactions on Software Engineering (TSE), 2025. (CCF-A)

  5. Wenqiang Wang, Yan Xiao, Hao Lin, Yangshijie Zhang, Xiaochun Cao. Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025. (CCF-A)

 

网络空间安全

  1. Jingyu Zhang, Fan Wang, Jacky Keung, Yihan LIAO, Yan Xiao*, Lei Ma. Empirical Insights of Test Selection Metrics under Multiple Testing Objectives and Distribution Shifts. ACM International Conference on the Foundations of Software Engineering (FSE), 2026. (CCF-A) 

  2. Haoqi He (本科生一作), Yan Xiao*, Wenzhi Xu (本科生), Ruoying Liu (本科生), Xiaokai Lin (本科生), Kai Wen. HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks. Association for the Advancement of Artificial Intelligence (AAAI), 2026. (CCF-A)

  3. Haoqi He (本科生一作), Xiaokai Lin (本科生), Jiancai Chen (本科生), Yan Xiao*. Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method. International Joint Conference on Artificial Intelligence (IJCAI), 2025. (CCF-A)

  4. Rajdeep Singh Hundal, Yan Xiao*, Xiaochun Cao, Jin Song Dong, Manuel Rigger. On the Mistaken Assumption of Interchangeable Deep Reinforcement Learning Implementations. 47th International Conference on Software Engineering (ICSE), 2025. (CCF-A)

  5. Pengcheng Zhang*, Qifan Yu, Yan Xiao*, Hai Dong, Xiapu Luo, Xiao Wang, Meng Zhang. BiAn: Smart Contract Source Code Obfuscation. IEEE Transactions on Software Engineering (TSE), 49(9), pp. 4456-4476. IEEE, 2023. (CCF-A)

  6. Yan Xiao, Yun Lin, Ivan Beschastnikh, Changsheng Sun, David S. Rosenblum, Jin Song Dong. Repairing Failure-inducing Inputs with Input Reflection. In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 1-13. ASE, 2022. (CCF-A)

  7. Yan Xiao, Ivan Beschastnikh, Yun Lin, Rajdeep Singh Hundal, Xiaofei Xie, David S. Rosenblum and Jin Song Dong. Self-checking deep neural networks for anomalies and adversaries in deployment. IEEE Transactions on Dependable and Secure Computing (TDSC), pp. 1-18. IEEE, 2022. (CCF-A)

  8. Yan Xiao, Ivan Beschastnikh, David S. Rosenblum, Changsheng Sun, Sebastian Elbaum, Yun Lin, Jin Song Dong. Self-checking deep neural networks in deployment. In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), pp. 372-384. IEEE, 2021. (CCF-A)

 

科研项目

  1. 国家自然科学基金委员会，青年科学基金项目（C类），2026-01-01至2028-12-31，30万，主持，在研。

  2. 教育部，2025-09-01至2027-12-31，90万，主持，在研。

  3. 深圳市科创局重大专项，2025-01-01至2027-12-31，320万，参与（中山大学负责人），在研。

 

获奖与荣誉

  1. 教育部青年人才

  2. 广东省重大人才工程青年

  3. IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2026). Distinguished Paper Award

  4. 指导本科生获得第九届“强网杯”创新创业专项赛国家三等奖

  5. 指导本科生获得国机器人及人工智能大赛全国二等奖，获省级优秀指导教师奖

  6. 指导本科生获得APMCM亚太地区大学生数学建模竞赛—五岳杯量子计算挑战赛全国一等奖与铜奖，获得优秀指导老师奖

  7. 指导本科生毕业论文获得中山大学2025及2026届校级优秀本科毕业论文

  8. 中山大学优秀班主任

 

学术兼职

国际期刊审稿人：Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Software Engineering (TSE), Transactions on Software Engineering and Methodology (TOSEM), IEEE Transactions on Reliability (TR), IEEE Transactions of Service Computing (TSC), Information and Software Technology (IST), Journal of Systems and Software (JSS), Journal of Empirical Software Engineering (EMSE), Applied Soft Computing (ASOC), Software Testing, Verification and Reliability (STVR), IEEE Access, Journal of Software: Evolution and Process.