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20212026
most citedContrastive Learning for Robust Android Malware Familial Classification

7 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Atria Dawn: The Dawn of Agentic Superintelligence

Honglin Guo, Tao Gui, Yicheng Chen +139

As AI agents become participants in the development of their successors, they reshape both the production of intelligence and the role of human researchers. We introduce Atria Dawn…

cs.AI2026

Towards Security-Auditable LLM Agents: A Unified Graph Representation

Chaofan Li, Lyuye Zhang, Jintao Zhai +9

LLM-based agentic systems are rapidly evolving to perform complex autonomous tasks through dynamic tool invocation, stateful memory management, and multi-agent collaboration. Howev…

cs.SE2023

Gitor: Scalable Code Clone Detection by Building Global Sample Graph

Junjie Shan, Shihan Dou, Yueming Wu +2

Code clone detection is about finding out similar code fragments, which has drawn much attention in software engineering since it is important for software maintenance and evolutio…

cs.CR2021

Boosting the Capability of Intelligent Vulnerability Detection by Training in a Human-Learning Manner

Shihan Dou, Yueming Wu, Wenxuan Li +3

Due to its powerful automatic feature extraction, deep learning (DL) has been widely used in source code vulnerability detection. However, although it performs well on artificial d…

cs.CR2021★ 7 cited

Contrastive Learning for Robust Android Malware Familial Classification

Yueming Wu, Shihan Dou, Deqing Zou +3

Due to its open-source nature, Android operating system has been the main target of attackers to exploit. Malware creators always perform different code obfuscations on their apps…