Pronounced “Koon Lee-oh”

Kun Liu [刘坤]

Ph.D. Student

Department of Computer Science

Tulane University

Portrait of Kun Liu

I am a Ph.D. student in Computer Science at Tulane University, advised by Dr. Jiang Ming. I also work closely with Dr. Zhengming (Allan) Ding on the AI aspects of my research. My research focuses on advancing the learning foundations of AI-based program analysis for software security, spanning practical applications and foundational research in learning algorithms and binary code representations. Prior to joining Tulane, I received my master's degree from Johns Hopkins University and my bachelor's degree from BJTU. I am always open to research collaborations and discussions. If you are interested in my work, please feel free to reach out at .

News

  • [Jul. 2026] One paper was directly accepted to ACM CCS 2026 (Cycle 2).
  • [Jul. 2026] One poster was accepted to USENIX Security 2026. See you in Baltimore!

Publications

[CCS '26] Long-Range Indirect Control-Flow Prediction in Stripped Binaries via Dual Virtual Hubs and Multi-Task Graph Learning

Kun Liu, Zhengming Ding, Chenke Luo, Tianyi Xu, Zizhan Zheng, Haotian Zhang, and Jiang Ming

to appear in ACM Conference on Computer and Communications Security, November 2026

Academic Service

  • Research Assistant, Department of Computer Science, Tulane University — Jan 2023 – Present
  • Course Assistant, Computer Networks, Johns Hopkins University — Sep 2020 – Dec 2020
  • External Reviewer: USENIX Security Symposium 2024–2027; PLDI 2026