About me

  • I am a final-year PHD candidate from Department of Computer Science at Rutgers University, advised by Prof. Shiqing Ma.
  • My research focuses on system security and artificial intelligence, particularly at the intersection of AI-driven security as well as the security of AI systems.
    • I am especially interested in leveraging AI to automate traditional system security solutions, including anomaly/threat detection, forensics, large-scale security data analysis (e.g., logs, provenance, graph databases, and security-related documents), and program analysis.
    • Additionally, I work on enhancing the trustworthiness and robustness of AI systems, with a focus on mitigating backdoor and adversarial attacks, developing explainable AI models, and addressing emerging threats in large language models (LLMs).
  • This summer, I was a security and privacy research intern at IBM Research. I was a machine learning and AI research intern at Bell Lab where I focused on data mining on large-scale industry logs in Summer 2023. Before joining Rutgers, I obtained my B.E. from Central South University in 2020.

  • I am on the market and look for a full time job!

News

  • [2024-08] One paper is accepted by ACSAC 2024.
  • [2024-05] I joined IBM Research as a security and privacy intern!
  • [2024-04] One paper is accepted by ASPLOS 2024.
  • [2023-09] I am invited as a reviewer of NeurIPS BUGs 2023, ICLR 2024, ICML 2024.
  • [2023-06] I joined Bell Lab as a Machine Learning and AI intern (2023 summer).
  • [2023-05] Two papers are accepted to Usenix Security 2023.
  • [2023-04] I am invited as a reviewer of NeurIPS 2023.
  • [2022-09] Two papers are accepted to NeurIPS 2022.
  • [2022-01] I am invited as a reviewer of ICML 2022.
  • [2022-01] I am a member of Usenix Security 2022 Artifact Evaluation Committee.
  • [2021-09] One paper is accepted to Usenix Security 2021.

Publication

Service

  • Program Committee, AAAI 2025
  • Reviewer, TIFS
  • SubReviewer, CODASPY 2024
  • Reviewer, ICLR 2024, 2025
  • Reviewer, NeurIPS Workshop on Backdoors in Deep Learning: The Good, the Bad, and the Ugly (BUGS) 2023
  • Reviewer, NeurIPS 2023
  • Reviewer, International Conference on Machine Learning (ICML), 2022, 2024
  • Artifact Evaluation Committee, USENIX Security Symposium, 2022

Award

  • National Scholarship (2017, 2019, 0.2% of Chinese undergraduate students)
  • First Level Scholarship of Central South University (2017, 2018, 2019, Top 3%)
  • Diamond Scholarship (2017, 15 person in 30,000 undergraduate students)
  • First Prize in The Hack, Hack Shanghai (2018)