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,香港城市大学博士,长期从事人工智能可信性分析以及软件缺陷定位研究,包括自动驾驶的可信度评估、提高模型准确性的深度神经网络修复、深度学习系统输入判别。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、数据挖掘和大数据分析等应用领域。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40余篇,发明/授权中国发明专利5项。

 

研究方向

人工智能安全:深度神经网络可信性分析、自动驾驶系统安全等

软件工程:软件缺陷定位、漏洞挖掘、异常检测、软件测试等

网络安全:网络告警预测、网络流量分类、分段路由分析等

 

联系方式

邮箱:xiaoy367@mail.sysu.edu.cn

主页:https://yanxiao6.github.io/

 

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

  1. Yan Xiao, Yun Lin, Ivan Beschastnikh, Changsheng Sun, David S. Rosenblum and Jin Song Dong: Repairing Failure-inducing Inputs with Input Reflection. IEEE/ACM Automated Software Engineering (ASE 2022). (CCF-A)
  2. Yan Xiao, Ivan Beschastnikh, David S. Rosenblum, Changsheng Sun, Sebastian Elbaum, Yun Lin and Jin Song Dong: Self-checking deep neural networks in deployment. in 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE 2021). (CCF-A)
  3. 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 2022). (CCF-A)
  4. Yan Xiao, Xinyue Zuo, Xiaoyue Lu, Jin Song Dong, Xiaochun Cao, Ivan Beschastnikh. Promises and Perils of Using Transformer-based Models for SE Research. Neural Networks (NN 2024). (中科院一区)
  5. Rajdeep Singh Hundal, Yan Xiao*, Xiaochun Cao, Jin Song Dong, Manuel Rigger. On the Mistaken Assumption of Interchangeable Deep Reinforcement Learning Implementations. IEEE/ACM International Conference on Software Engineering (ICSE 2025). (CCF-A)

 

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.