[中文] [Eng]

• AP at BUPT
• Ph.D. at THU
• Beijing, China

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• Internal Links

  Publication

  Biography

  韩东岐

About Me

I’m currently an associate researcher (assistant professor) at the Beijing University of Posts and Telecommunications (BUPT). Before that, I received my Ph.D. from Tsinghua University in 2024, advised by Prof. Zhiliang Wang, and also a joint Ph.D. at Nanyang Technological University advised by Prof. Yang Liu. My research focuses on building trustworthy and practical AI (including LLM/Agents) for Cybersecurity, as well as other intersections between AI and Security (See my full biography here).

Research Interests

1. AI/LLM + Security: trustworthy AI & AI for cybersecurity
2. Traffic Analysis: ETA, anomaly detection, fingerprinting, classification
3. Network Security: measurement and security analysis on diverse network architectures and protocols

Education

• [2019/09 — 2024/07] Ph.D. in Computer Science, Tsinghua University, Beijing, China
• [2022/10 — 2023/10] CSC Visiting Ph.D. in Computer Science, Nanyang Technological University, Singapore
• [2015/09 — 2019/07] Bachelor's in Computer Science, Jilin University, Jilin, China

Experience

• [2024/07 — Now] Faculty at Beijing University of Posts and Telecommunications (BUPT), Beijing, China
• [2022/06 — 2024/07] Research Intern, Alibaba Cloud, Beijing, China.
• [2021/06 — 2022/05] Research Intern, Qi-anxin Group, Beijing, China.

Selected Publications [More]

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corresponding author, * equal contribution,

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• Keji Miao, Jie Yuan, Xinghai Wei, Xingwu Wang, Dongqi Han#, Haiguang Wang, Runshan Hu, Xiaoyong Li, Zitong Jin, Wenqi Chen. 1BIT: Persistent Path Validation with Customized Noise Signal Characteristics. ACM Conference on Computer and Communications Security (CCS), 2025 (acceptance rate: ??/?? = ??%) [Code][Paper][Slides][Talk]
• Dongqi Han, Zhiliang Wang, Ruitao Feng, Minghui Jin, Wenqi Chen, Kai Wang, Su Wang, Jiahai Yang, Xingang Shi, Xia Yin, Yang Liu. Rules Refine the Riddle: Global Explanation for Deep Learning-Based Anomaly Detection in Security Applications. ACM Conference on Computer and Communications Security (CCS), 2024 (acceptance rate: 331/1964 = 16.9%) [Code][Paper][Slides][Talk], :badge: Artifact (Available+Evaluated-Reusable+Results Reproduced), :award: Distinguished Artifact Awards
• Dongqi Han, Zhiliang Wang, Wenqi Chen, Kai Wang, Rui Yu, Su Wang, Han Zhang, Minghui Jin, Jiahai Yang, Xingang Shi, Xia Yin. Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation. Annual Network and Distributed System Security Symposium (NDSS) (acceptance rate: 58/398=14.5%) [Code][Paper][Slides][Talk], :microphone1: IEEE Meeting 119, :award: IRTF Applied Networking Research Prize
• Dongqi Han, Zhiliang Wang, Wenqi Chen, Ying Zhong, Su Wang, Han Zhang, Jiahai Yang, Xingang Shi, Xia Yin. DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications. ACM Conference on Computer and Communications Security (CCS), 2021 (acceptance rate: 65/315=20.6%) [Code][Paper][Cite]
• Dongqi Han, Zhiliang Wang, Wenqi Chen, Ying Zhong, Su Wang, Han Zhang, Jiahai Yang, Xingang Shi, Xia Yin. Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors. IEEE Journal on Selected Areas in Communications (JSAC), 2021 [Code][Paper][Cite]

Selected Awards

• 2024, ACM CCS **Distinguished Artifact Award** (award rate: 10/121=8.2%)
• 2024, Outstanding graduate of INSC, Tsinghua University
• 2024, IRTF Applied Networking Research Prize (6 nominates worldwide)
• 2023, First Class Scholarship in Tsinghua Univ.
• 2021, National Scholarship for Postgraduates
• 2018, CCF (China Computer Federation) Outstanding Student.
• 2016, 2017, 2018, National Scholarship for Undergraduates

Services

Journal/Conference Reviewer

• 2025: TIFS, SIGCOMM(W), Computer Network, BigCom (PC), Computer & Security
• 2024: ICDCS, ToN, EuroS&P(W), TaPP (PC), Computer & Security, ICDE, CyberSecurity
• 2023: TDSC, Securecomm, ToN, CyberSecurity, Internet Journal of Network Management
• 2022: NOMS, TNSE, Computer & Security, TDSC, TIFS
• 2021: TOPS, JSAC, Journal of Machine Learning Research

Teaching

• Spring 2025. Computer Network. Teaching Assistant.
• Spring 2021. Network Intrusion Detection. Teaching Assistant.