3 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
This work argues that closing this gap requires alignment at every level of the pipeline, including execution, supervision, optimization, and evaluation, rather than scale alone, and presents Wuying-Browser-Agent, a unified framework that addresses each of these levels.
ScGFormer is equipped with a biology-guided adaptive contrastive learning strategy, which is designed to account for zero inflation, balance class distributions, and refine dynamic graphs during training, thereby facilitating robustness and adaptability.
The multi-modal approach improves accuracy, reduces mistakes, and adapts better to new phishing methods, and performs better than single-method systems and has strong potential for future improvement.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
