no code implementations • 9 Sep 2024 • Yifan Jia, Yanbin Wang, Jianguo Sun, Yiwei Liu, Zhang Sheng, Ye Tian
To address these challenges, we propose TLMG4Eth that combines a transaction language model with graph-based methods to capture semantic, similarity, and structural features of transaction data in Ethereum.
no code implementations • 2 Sep 2024 • Tianxu Liu, Yanbin Wang, Jianguo Sun, Ye Tian, Yanyu Huang, Tao Xue, Peiyue Li, Yiwei Liu
As blockchain technology rapidly evolves, the demand for enhanced efficiency, security, and scalability grows. Transformer models, as powerful deep learning architectures, have shown unprecedented potential in addressing various blockchain challenges.
no code implementations • 13 May 2024 • Tao Xue, Ying Zhang, Yanbin Wang, Wenbo Wang, Shuailou Li, Haibin Zhang
IoT edge computing positions computing resources closer to the data sources to reduce the latency, relieve the bandwidth pressure on the cloud, and enhance data security.
1 code implementation • 12 Apr 2024 • Yujie Li, Yanbin Wang, Haitao Xu, Bin Liu, Jianguo Sun, Zhenhao Guo, Wenrui Ma
Unlike data-driven classifiers, TMDC, guided by Bayesian principles, utilizes the conditional likelihood from diffusion models to determine the class probabilities of input images, thereby insulating against the influences of data shift and the limitations of adversarial training.
1 code implementation • 18 Feb 2024 • Yujie Li, Yanbin Wang, Haitao Xu, Zhenhao Guo, Zheng Cao, Lun Zhang
To address this gap, this paper introduces URLBERT, the first pre-trained representation learning model applied to a variety of URL classification or detection tasks.