4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.SE2024
CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision
Hao Wang, Zeyu Gao, Chao Zhang +7
Binary code representation learning has shown significant performance in binary analysis tasks. But existing solutions often have poor transferability, particularly in few-shot and…
cs.SE2023★ 4 cited
kTrans: Knowledge-Aware Transformer for Binary Code Embedding
Wenyu Zhu, Hao Wang, Yuchen Zhou +4
Binary Code Embedding (BCE) has important applications in various reverse engineering tasks such as binary code similarity detection, type recovery, control-flow recovery and data-…
quant-ph2023★ 2 cited
VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum
Huanyu Bian, Zhilong Jia, Menghan Dou +13
With the rapid development of classical and quantum machine learning, a large number of machine learning frameworks have been proposed. However, existing machine learning framework…