Siliang Qin

Siliang Qin

Siliang Qin is a Ph.D. student in Insititute of Information Engineering, Chinese Academy of Sciences from 2022. His research interests include artificial intelligent security and software security.

About Me

I am a Phd student at Institute of Information Engineering, Chinese Academy of Sciences starting in September 2022, supervised by Kai Chen. Before that, I received my bachelor degree from University of Chinese Academy of Sciences. I’m also a member of the CTF team NeSE since 2022, specialized in reverse engineering and AI related tasks.

My research interests include artificial intelligent security and software security. I’m working on engineering a decompiler incorporating Aritificial Intelligence and Program Analysis.

Publication

  • [USENIX Security’25] Tady: A Neural Disassembler without Structural Constraint Violations. Siliang Qin, Fengrui Yang, Hao Wang, Bolun Zhang, Zeyu Gao, Chao Zhang, Kai Chen. [Code] [Paper]
  • [ISSTA’25] BinQuery: A Novel Framework for Natural Language-Based Binary Code Retrieval. Bolun Zhang, Zeyu Gao, Hao Wang, Yuxin Cui, Siliang Qin, Chao Zhang, Kai Chen, Beibei Zhao. [Paper]
  • [ACL’25] DecompileBench: A Comprehensive Benchmark for Evaluating Decompilers in Real-World Scenarios. Zeyu Gao, Yuxin Cui, Hao Wang, Siliang Qin, Yuanda Wang, Bolun Zhang, Chao Zhang. [Code] [Paper].
  • [USENIX Security’23] AlphaEXP: An Expert System for Identifying Security-Sensitive Kernel Objects. Ruipeng Wang, Kaixiang Chen, Chao Zhang, Zulie Pan, Qianyu Li, Siliang Qin, Shenglin Xu, Min Zhang, Yang Li. [Paper].