no code implementations • 19 Nov 2023 • Jiashu Wu, Hao Dai, Kenneth B. Kent, Jerome Yen, Chengzhong Xu, Yang Wang
The OSDN model performs intrusion knowledge transfer from the knowledge-rich source network intrusion domain to facilitate more accurate intrusion detection for the data-scarce target IoT intrusion domain.
no code implementations • 25 Mar 2023 • Jiashu Wu, Yang Wang, Hao Dai, Chengzhong Xu, Kenneth B. Kent
The ABRSI achieves fine-grained intrusion knowledge transfer via adaptive bi-recommendation matching.
no code implementations • 24 Jan 2023 • Jiashu Wu, Hao Dai, Yang Wang, Kejiang Ye, Chengzhong Xu
In this paper, a Geometric Graph Alignment (GGA) approach is leveraged to mask the geometric heterogeneities between domains for better intrusion knowledge transfer.
no code implementations • 10 Nov 2022 • Jiashu Wu, Hao Dai, Yang Wang, Zhiying Tu
In this paper, we allocate IoT devices as resources for smart services with time-constrained resource requirements.
no code implementations • 28 Oct 2022 • Jiashu Wu, Yang Wang, Binhui Xie, Shuang Li, Hao Dai, Kejiang Ye, Chengzhong Xu
The scenario semantic endows source NI and II domain with characteristics from each other to ease the knowledge transfer process via a confused domain discriminator and categorical distribution knowledge preservation.
no code implementations • 9 Aug 2022 • Jiashu Wu, Hao Dai, Yang Wang, Shigen Shen, Chengzhong Xu
With the fast growing quantity of data generated by smart devices and the exponential surge of processing demand in the Internet of Things (IoT) era, the resource-rich cloud centres have been utilised to tackle these challenges.
no code implementations • 4 Jul 2022 • Jiashu Wu
Over the past decades, researchers had put lots of effort investigating ranking techniques used to rank query results retrieved during information retrieval, or to rank the recommended products in recommender systems.
1 code implementation • 4 Aug 2020 • Shuang Li, Binhui Xie, Jiashu Wu, Ying Zhao, Chi Harold Liu, Zhengming Ding
In this paper, we propose a Simultaneous Semantic Alignment Network (SSAN) to simultaneously exploit correlations among categories and align the centroids for each category across domains.