个人简介
教育经历
1998年09月-2002年07月，南开大学数学专业，学士
2005年09月-2008年07月，首都师范大学数学专业，硕士
2008年09月-2011年07月，中国科学院研究生院信息安全专业，博士
工作经历
2011年10月-2016年12月，清华大学深圳研究生院，讲师
2016年12月-2019年8月，清华大学深圳研究生院，副教授
2019年8月至今，清华大学深圳国际研究生院，副教授
学术兼职
中国密码协会会员，中国计算机学会会员
TDSC、Computer & Security、Information Sciences、Neutral Networks、JSS等期刊审稿人
AAAI、ICSE、CVPR、SIGIR、NeurIPS、IJCAI、WWW、ICCASP、IWQOS等会议审稿人
国家自然基金委项目评审专家
深圳市科技创新委员会专家
荣誉奖项
深圳市后备级人才
讲授课程的教学评估多次位居清华大学全校前5%
荣获清华大学2016年度“青年教师教学优秀奖”
指导的毕业论文获2017年，2018年清华大学校优秀硕士学位论文
指导学生获2016年，2019年国家奖学金
指导学生获2019年北京市优秀毕业生
指导学生获2019年中国AI+创新创业大赛总决赛三等奖
研究领域
主要研究方向为机器学习和网络安全，包括深度学习算法、强化学习算法及其在漏洞挖掘、网络流量识别、谣言检测、网络钓鱼及病毒检测等安全问题上的应用和区块链技术。
近期论文
查看导师最新文章
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Xi Xiao, Wentao Xiao, Rui Li, Xiapu Luo, Haitao Zheng, and Shutao Xia. EBSNN: Extended Byte Segment Neural Network for Network Traffic Classification, IEEE Transactions on Dependable and Secure Computing, doi: 10.1109/TDSC.2021.3101311..
Kunpeng Zhang, Xi Xiao, Xiaogang Zhu, Ruoxi Sun, Minhui Xue, Sheng Wen. Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States, Proc. 44th International Conference on Software Engineering (ICSE 2022), Pittsburgh, PA, USA, 2022/05/21-2022/05/29.
Xi Xiao, Wentao Xiao, Dianyan Zhang, Bin Zhang, Guangwu Hu, Qing Li, Shutao Xia. Phishing websites detection via CNN and multi-head self-attention on imbalanced datasets, Computers & Security, 2021, 108(2021), 102372.
Tian Bian, Xi Xiao, Tingyang Xu,Peilin Zhao,Wenbing Huang,Yu Rong,Junzhou Huang. Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks, Proc. 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, 2020/2/7-2020/2/12.
Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shutao Xia, “ Maintaining Discrimination and Fairness in Class Incremental Learning”, Proc. Internaltional Conference on Computer Vision and Pattern Recogintion (CVPR 2020), Washington, USA, 2020/6/16-2020/6/18.
Sifan Wu, Xi Xiao, Qianggang Ding, Peilin Zhao, Ying Wei, Junzhou Huang. Adversary Sparse Transformer for Time Series Forecasting, Proc. 34rd Conference on Neural Information Processing Systems (NeurIPS 2020), virtual, 2020/12/6-2020/12/12.
Xi Xiao, Rui Li, HaiTao Zheng, Runguo Ye, Arun Kumar Sangaiah, Shutao Xia. Novel Dynamic Multiple Classification System for Network Traffic, Information Science, 2019, 479(2019): 526–541.
Xi Xiao, Yuqing Pan, Bin Zhang, Guangwu Hu, Qing Li, Runiu Lu. ALBFL: A novel neural ranking model for software fault localization via combining static and dynamic features, Information and Software Technology, 2021, 139(2021), 106653.
Kelong Mao, Xi Xiao, Guangwu Hu, Xiapu Luo, Bin Zhang, Shutao Xia. Byte-Label Joint Attention Learning for Network Traffic Classification, Proc. 2021 IEEE/ACM International Symposium on Quality of Service (IWQoS 2021),Tokyo, Japan,2021/06/25-2021/06/28.
Xi Xiao, Dianyan Zhang, Guangwu Hu.Yong Jiang,Shutao Xia. CNN–MHSA: A Convolutional Neural Network and multi-head self-attention combined approach for detecting phishing websites, Neural Networks, 2020,125(2020): 303-312.
Mingzhe Chen, Xi Xiao, Wanpeng Zhang, Xiaotian Gao, Efficient And Stable Information Directed Exploration For Continuous Reinforcement Learning, 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), Singapore, 2022/05/07-2022/05/13..
Xi Xiao, Zhenlong Wang, Qing Li, Shutao Xia, Yong Jiang. Back-Propagation Neural Network on Markov Chains from System Call Sequences: A New Approach for Detecting Android Malware with System Call Sequences, IET Information Security, 2016, 11(1): 8-15.
Xi Xiao, XinguangTian, Qibin Zhai, Shutao Xia. A variable-length model for masquerade detection, Journal of Systems and Software, 2012, 85 (11), 2470-2478.
Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He. Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach, Proc. 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China, 2020/7/25-2020/7/30.
Yuzhao Chen, Yatao Bian, Xi Xiao*, Yu Rong, Tingyang Xu, Junzhou Huang. On Self-Distilling Graph Neural Network, Proc. 30th International Joint Conference on Artificial Intelligence (IJCAI-21), Montreal, Canada, 2021/08/21 - 2021/08/26.
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