This is Yi Qian’s home page! (Under construction).

Currently, I am a Ph.D candidate in Nanjing University, National Key Laboratory for Novel Software Technology, supervised by Professor Bing Mao.

I received my B.E. degree in information security from College of Computer Science, Chongqing University, China, in 2021. In the same year, I was admitted to pursue for a Ph.D degree in Nanjing University.

Research Interest

My current research interests mainly include agent security, LLM security, and LLM-assisted binary security.

Publications

1. Qian, Y., Peng, F., Wu, H., Chen, L., & Mao, B. (2025, November). Uncovering Prompt Elements: Cloning System Prompts from Behavioral Traces. In 2025 40th IEEE/ACM International Conference on Automated Software Engineering (ASE) (pp. 457-468). IEEE. (CCF-A Conference)

2. Chen, L., He, Z., Qian, Y., & Mao, B. (2025). CATI++: Empirical Study and Evaluation for Adjacent Instruction Enhanced Type Inference. The Computer Journal, bxaf004. (CCF-B Journal)

3. Chen, L., Qian, Y., Wang, Y., & Mao, B. (2023). Nimbus++: Revisiting Efficient Function Signature Recovery with Depth Data Analysis. International Journal of Software Engineering and Knowledge Engineering, 33(10), 1537-1565. (CCF-C Journal)

4. Qian, Y., Chen, L., Wang, Y., & Mao, B. (2022, December). Nimbus: Toward Speed Up Function Signature Recovery via Input Resizing and Multi-Task Learning. In 2022 IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS) (pp. 454-463). IEEE. (CCF-C Conference)

5. Chen, L., He, Z., Wu, H., Xu, F., Qian, Y., & Mao, B. (2022, March). Dicomp: Lightweight Data-Driven Inference of Binary Compiler Provenance with High Accuracy. In 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) (pp. 112-122). IEEE. (CCF-B Conference)