I am a final-year Ph.D. student in Computer Science at Tulane University, advised by Dr. Jiang Ming. I also work closely with Dr. Zhengming Ding on the AI aspects of my research. My research focuses on AI-driven and agentic approaches at the intersection of software security, program analysis, and software engineering. Prior to joining Tulane, I briefly worked at Tencent. I received my master's degree from Johns Hopkins University and my bachelor's degree from Beijing Jiaotong University. I welcome research collaborations, discussions, and peer-review invitations from anyone; please drop me an email.
Recent Research Interests
AI-driven program analysis for software security and binary analysis.
Agentic AI systems for software engineering and security automation.
News
One paper was directly accepted to ICSE 2027.
One paper was directly accepted to ACM CCS 2026 (Cycle B).
One poster was accepted to USENIX Security 2026. See you in Baltimore!
One poster was accepted to the PLDI Student Research Competition (SRC). See you in Denver!
Publications
[ICSE '27] Beyond Tokens: NumAnchor for Address-Grounded Numeric Operand Representation in Assembly Language Models
Kun Liu, Keith Mitchell, Xin Hu, Jiangcheng Yu, Chenke Luo, Zhengming Ding, Haotian Zhang, and Jiang Ming
To appear in Proceedings of the 49th IEEE/ACM International Conference on Software Engineering, Dublin, Ireland, April 25–May 1, 2027 (Direct acceptance rate 5.0%=119/2375).
[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 Proceedings of the 33rd ACM Conference on Computer and Communications Security, The Hague, the Netherlands, November 15–19, 2026 (Direct acceptance rate 8.4%=183/2188 (Cycle B)).
