Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases. - Zian Su; Xiangzhe Xu; Ziyang Huang 004; Kaiyuan Zhang 002; Xiangyu Zhang 001 (NeurIPS, 2024)

CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking. - Zian Su; Xiangzhe Xu; Ziyang Huang 004; Zhuo Zhang 002; Yapeng Ye; Jianjun Huang 001; Xiangyu Zhang 001 (Proc. ACM Softw. Eng., 2024)

Unleashing the Power of Generative Model in Recovering Variable Names from Stripped Binary. - Xiangzhe Xu; Zhuo Zhang 002; Zian Su; Ziyang Huang 004; Shiwei Feng 002; Yapeng Ye; Nan Jiang 012; Danning Xie; Siyuan Cheng 005; Lin Tan 001; Xiangyu Zhang 001 (NDSS, 2025)

μKE: Matryoshka Unstructured Knowledge Editing of Large Language Models. - Zian Su; Ziyang Huang 004; Kaiyuan Zhang 002; Xiangyu Zhang 001 (CoRR, 2025)