Search Results for author: Jiashu Wu

Found 8 papers, 1 papers with code

Open Set Dandelion Network for IoT Intrusion Detection

no code implementations19 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.

Domain Adaptation Intrusion Detection +1

Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach

no code implementations24 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.

Domain Adaptation Network Intrusion Detection +2

Multi-Scenario Bimetric-Balanced IoT Resource Allocation: An Evolutionary Approach

no code implementations10 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.

Joint Semantic Transfer Network for IoT Intrusion Detection

no code implementations28 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.

Computational Efficiency Domain Adaptation +3

PECCO: A Profit and Cost-oriented Computation Offloading Scheme in Edge-Cloud Environment with Improved Moth-flame Optimisation

no code implementations9 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.

Learning to Rank with Small Set of Ground Truth Data

no code implementations4 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.

Information Retrieval Learning-To-Rank +2

Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation

1 code implementation4 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.

Domain Adaptation Pseudo Label

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