🙋♂️ AP at BUPT
🎓 Ph.D. at THU
📍 Beijing, China
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[Last Update June 13, 2025]
韩东岐，北京邮电大学特聘副研究员。2024年6月博士毕业于清华大学网络研究院（导师为王之梁副教授），清华大学网络研究院优秀毕业生。曾获国家公派留学资格在新加坡南洋理工大学刘杨教授课题组联合培养。主要研究方向为态势感知、可信AI和网络安全，在CCS、NDSS、JSAC、TIFS等网络及安全领域国际期刊和会议上发表论文十余篇，申请发明专利十项，相关研究获得IRTF应用网络研究奖。作为主要人员参与了重点研发、国网、阿里、奇安信等项目。
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课题组经费充足，氛围良好，和国内外多所高校和企业有合作关系，欢迎有意从事相关科研的同学邮箱联系！
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1BIT: Persistent Path Validation with Customized Noise Signal Characteristics Keji Miao, Jie Yuan, Xinghai Wei, Xingwu Wang, Dongqi Han#, Haiguang Wang, Runshan Hu, Xiaoyong Li, Zitong Jin, Wenqi Chen CCS’25 (acceptance rate: ??/?? = ??%) [Code][Paper][Slides][Talk]
Rules Refine the Riddle: Global Explanation for Deep Learning-Based Anomaly Detection in Security Applications
Dongqi Han, Zhiliang Wang, Ruitao Feng, Minghui Jin, Wenqi Chen, Kai Wang, Su Wang, Jiahai Yang, Xingang Shi, Xia Yin, Yang Liu
CCS’24 (acceptance rate: 331/1964 = 16.9%) [Code][Paper][Slides][Talk], 🏅Artifact (Available, Evaluated-Reusable, Results Reproduced), 🏆**Distinguished Artifact Awards!**
Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation Dongqi Han, Zhiliang Wang, Wenqi Chen, Kai Wang, Rui Yu, Su Wang, Han Zhang, Minghui Jin, Jiahai Yang, Xingang Shi, Xia Yin NDSS’23 (acceptance rate: 58/398=14.5%) [Code][Paper][Slides][Talk], 🎙️IEEE Meeting 119, 🏆IRTF **Applied Networking Research Prize!**
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications Dongqi Han, Zhiliang Wang, Wenqi Chen, Ying Zhong, Su Wang, Han Zhang, Jiahai Yang, Xingang Shi, Xia Yin CCS’21 (acceptance rate: 65/315=20.6%) [Code][Paper][Cite]
Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors Dongqi Han, Zhiliang Wang, Wenqi Chen, Ying Zhong, Su Wang, Han Zhang, Jiahai Yang, Xingang Shi, Xia Yin JSAC’21 (IEEE Journal on Selected Areas in Communications) ****[Code][Paper][Cite]
