Assoc. Prof. Dr. Xi Xiao | Computer Science | Best Researcher Award

Education

Assoc. Prof. Dr. Xi Xiao’s academic journey reflects a solid foundation built on mathematics, computer science, and information security. He began his higher education at Capital Normal University, earning a bachelor’s degree in mathematics, where he developed analytical reasoning and problem-solving skills. Pursuing deeper expertise, he continued to Nankai University, completing his master’s degree in mathematics, which refined his theoretical and computational proficiency. His academic trajectory culminated with a Ph.D. in Information Security from the Graduate School of the Chinese Academy of Sciences, where his research laid the groundwork for future contributions in artificial intelligence security, adversarial defense, and cyber resilience. This multidisciplinary background uniquely positioned him to bridge mathematics with cutting-edge security applications, blending theory and practice. Dr. Xiao’s education not only empowered him with advanced knowledge but also cultivated an interdisciplinary vision that continues to guide his impactful research and academic leadership in AI-driven security.

Experience

Assoc. Prof. Dr. Xi Xiao currently serves at the Tsinghua University Shenzhen International Graduate School, where he has established himself as an authority in AI security and intelligent networks. His professional career reflects a balance between academic leadership, research innovation, and industrial collaboration. He has spearheaded multiple projects funded by the National Natural Science Foundation of China (NSFC) and the National Key R&D Program, focusing on applied AI in security-sensitive environments. Beyond academia, Dr. Xiao has worked closely with Huawei, Tencent, and Alibaba, translating advanced theories into practical solutions for cybersecurity challenges. His work on vulnerability detection, phishing identification, rumor tracking, and adversarial model robustness demonstrates his commitment to addressing real-world digital threats. Through his extensive teaching, mentoring, and conference participation, he has trained the next generation of researchers while actively shaping the global discourse on AI safety. His professional journey showcases resilience, leadership, and a vision for secure, trustworthy AI systems.

Research Interest

Dr. Xi Xiao’s research interests lie at the intersection of artificial intelligence, cybersecurity, and intelligent networks, with a strong emphasis on ensuring the safety, transparency, and robustness of AI-driven systems. His work spans adversarial AI defense, developing frameworks to protect machine learning models from malicious manipulation, as well as phishing detection and rumor analysis, ensuring social and digital platforms remain secure and reliable. Additionally, he investigates intelligent network traffic classification, leveraging AI and machine learning to optimize large-scale communication systems. His research also explores the application of predictive models for vulnerability detection, reinforcing system-level resilience against cyber threats. Beyond technical depth, Dr. Xiao maintains a forward-looking perspective, integrating AI with emerging digital ecosystems and national security requirements. His contributions not only advance theoretical knowledge but also bridge academia with industry, addressing global challenges in cyber resilience, AI trustworthiness, and secure digital transformation for sustainable technological growth.

Award and Honor

Throughout his career, Assoc. Prof. Dr. Xi Xiao has received notable recognition for his research excellence, innovation, and contributions to AI security. His extensive publication record in IEEE journals, CCF A-ranked conferences, and Scopus-indexed outlets has positioned him among leading researchers in cybersecurity and intelligent systems. Dr. Xiao has been awarded national research grants and competitive funding for pioneering projects under NSFC and national R&D initiatives, underscoring the significance of his work in advancing both theoretical and applied AI security. He has also secured over 20 patents, reflecting his commitment to practical innovation and industry impact. His collaborations with technology giants like Huawei, Tencent, and Alibaba further highlight his influence in shaping secure, scalable digital ecosystems. Alongside his academic achievements, he has been honored as a mentor and contributor to academic communities, inspiring young researchers worldwide. These distinctions affirm his status as a leading voice in AI-driven cybersecurity research.

Publication Top Notes

• Title: Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model
  Authors: Xi Xiao, et al.
  Year: 2025
  Citations: 2

• Title: Fast optimal control performance evaluation for wave energy control co-design
  Authors: Xi Xiao, et al.
  Journal: Renewable Energy
  Year: 2025
  Citations: 3

• Title: Prediction and Analysis of PWM-Induced Current Ripple of PMSM at Low Switching-to-Fundamental Frequency Ratios
  Authors: Xi Xiao, et al.
  Journal: IEEE Transactions on Industrial Electronics
  Year: 2025
  Citations: 2

• Title: DetecVFuzz: Enhancing Security in Consumer Electronic Devices Through Scalable Vulnerability Testing of Virtual Devices
  Authors: Xi Xiao; Yongjian Guo; Alireza Jolfaei; Chuan Chen; Mohammad Sayad Haghighi; Sheng Wen; Yuanyi Lin
  Journal: IEEE Transactions on Consumer Electronics
  Year: 2025

• Title: Image Shooting Parameter-Guided Cascade Image Retouching Network: Think Like an Artist
  Authors: Hailong Ma; Sibo Feng; Xi Xiao; Chenyu Dong; Xingyue Cheng
  Journal: IEEE Transactions on Multimedia
  Year: 2025

• Title: One Mutation Fits All: Exploring Universal Library Fuzzing based on Exogenous Mutation
  Authors: Ruiqi Dong; Fanke Tong; He Huang; Xiaogang Zhu; Xi Xiao; Shaohua Wang; Sheng Wen; Yang Xiang
  Journal: IEEE Transactions on Dependable and Secure Computing
  Year: 2025 

• Title: MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series
  Authors: Zhicheng Chen; Xi Xiao; Ke Xu; Zhong Zhang; Yu Rong; Qing Li; Guojun Gan; Zhiqiang Xu; Peilin Zhao
  Journal: Neurocomputing
  Year: 2025 

• Title: Patch the Leak: Strengthening CodeLLMs Against Privacy Extraction Threats
  Authors: Yongjian Guo; Wanlun Ma; Xi Xiao; Sheng Wen; Peng Di; Xiaogang Zhu
  Conference: ACM (DOI: 10.1145/3713081.3732931)
  Year: 2025 

• Title: RBLJAN: Robust Byte-Label Joint Attention Network for Network Traffic Classification
  Authors: Xi Xiao; Shuo Wang; Guangwu Hu; Qing Li; Kelong Mao; Xiapu Luo; Bin Zhang; Shutao Xia
  Journal: IEEE Transactions on Dependable and Secure Computing
  Year: 2025 

• Title: Robust k-Means-Type Clustering for Noisy Data
  Authors: Xi Xiao; Hailong Ma; Guojun Gan; Qing Li; Bin Zhang; Shutao Xia
  Journal: IEEE Transactions on Neural Networks and Learning Systems
  Year: 2025 

• Title: DTPN: A Diffusion-based Traffic Purification Network for Tor Website Fingerprinting
  Authors: Chenchen Yang; Xi Xiao; Guangwu Hu; Zhen Ling; Hao Li; Bin Zhang
  Conference: ACM (DOI: 10.1145/3701551.3703547)
  Year: 2025

• Title: InforTest: Informer-Based Testing for Applications in the Internet of Robotic Things
  Authors: Yuanxiang Shi; Xi Xiao; Qing-Long Han; Jiong Jin; Sheng Wen; Yang Xiang
  Journal: IEEE Transactions on Industrial Informatics
  Year: 2025 

• Title: BazzAFL: Moving Fuzzing Campaigns Towards Bugs via Grouping Bug-Oriented Seeds
  Authors: Kai Ye; Xiaogang Zhu; Xi Xiao; Sheng Wen; Minhui Xue; Yang Xiang
  Journal: IEEE Transactions on Dependable and Secure Computing
  Year: 2025 

• Title: Incremental Context-free Grammar Inference in Black Box Settings
  Authors: Feifei Li; Xiao Chen; Xi Xiao; Xiaoyu Sun; Chuan Chen; Shaohua Wang; Jitao Han
  Conference: ACM (DOI: 10.1145/3691620.3695494)
  Year: 2024 

• Title: ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance
  Authors: Ling-Hao Chen; Yuanshuo Zhang; Taohua Huang; Liangcai Su; Zeyi Lin; Xi Xiao; Xiaobo Xia; Tongliang Liu
  Conference: ACM (DOI: 10.1145/3627673.3679552)
  Year: 2024 

• Title: CEBin: A Cost-Effective Framework for Large-Scale Binary Code Similarity Detection
  Authors: Hao Wang; Zeyu Gao; Chao Zhang; Mingyang Sun; Yuchen Zhou; Han Qiu; Xi Xiao
  Conference: ACM (DOI: 10.1145/3650212.3652117)
  Year: 2024 

Conclusion

In summary, Assoc. Prof. Dr. Xi Xiao stands as a visionary scholar, researcher, and innovator, whose career is dedicated to the advancement of secure and intelligent digital systems. With a strong educational foundation in mathematics and information security, he has transformed his expertise into pioneering contributions that bridge artificial intelligence and cybersecurity. His professional journey at Tsinghua University Shenzhen International Graduate School reflects both academic distinction and real-world impact, strengthened through collaborations with leading industries and government-backed initiatives. Dr. Xiao’s research leadership in adversarial AI defense, network resilience, and cyber vulnerability detection has set benchmarks for the field, while his publications, patents, and mentorship continue to influence the next generation of scholars. Recognized nationally and internationally, he embodies the ideals of innovation, academic excellence, and global collaboration. His work not only secures present-day digital systems but also lays the groundwork for a trusted, sustainable AI-driven future.