Search Results for author: Peiying Zhang

Found 16 papers, 0 papers with code

Text-Guided Vector Graphics Customization

no code implementations21 Sep 2023 Peiying Zhang, Nanxuan Zhao, Jing Liao

In this paper, we propose a novel pipeline that generates high-quality customized vector graphics based on textual prompts while preserving the properties and layer-wise information of a given exemplar SVG.

Vector Graphics

A multi-domain VNE algorithm based on multi-objective optimization for IoD architecture in Industry 4.0

no code implementations8 Feb 2022 Peiying Zhang, Chao Wang, Zeyu Qin, Haotong Cao

Network virtualization technology is a promising technology to support IoD, so the allocation of virtual resources becomes a crucial issue in IoD.

Network Embedding

VNE Strategy based on Chaotic Hybrid Flower Pollination Algorithm Considering Multi-criteria Decision Making

no code implementations7 Feb 2022 Peiying Zhang, Fanglin Liu, Gagangeet Singh Aujla, Sahil Vashist

A chaotic optimization strategy is introduced to replace the random sequence-guided crossover process to strengthen the global search capability and reduce the probability of producing invalid individuals.

Decision Making Network Embedding

Semantic Similarity Computing Model Based on Multi Model Fine-Grained Nonlinear Fusion

no code implementations5 Feb 2022 Peiying Zhang, Xingzhe Huang, Yaqi Wang, Chunxiao Jiang, Shuqing He, Haifeng Wang

Experimental results show that the matching of sentence similarity calculation method based on multi model nonlinear fusion is 84%, and the F1 value of the model is 75%.

Semantic Similarity Semantic Textual Similarity +2

A multi-domain virtual network embedding algorithm with delay prediction

no code implementations3 Feb 2022 Peiying Zhang, Xue Pang, Yongjing Ni, Haipeng Yao, Xin Li

Virtual network embedding (VNE) is an crucial part of network virtualization (NV), which aims to map the virtual networks (VNs) to a shared substrate network (SN).

Network Embedding

Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm

no code implementations3 Feb 2022 Peiying Zhang, Chao Wang, Chunxiao Jiang, Neeraj Kumar, Qinghua Lu

Based on the above two problems faced by ICPSs, we propose a virtual network embedded (VNE) algorithm with computing, storage resources and security constraints to ensure the rationality and security of resource allocation in ICPSs.

Attribute Management +1

Network Resource Allocation Strategy Based on Deep Reinforcement Learning

no code implementations3 Feb 2022 Shidong Zhang, Chao Wang, Junsan Zhang, Youxiang Duan, Xinhong You, Peiying Zhang

This paper proposes a two-stage VNE algorithm based on deep reinforcement learning (DRL) (TS-DRL-VNE) for the problem that the mapping result of existing heuristic algorithm is easy to converge to the local optimal solution.

Attribute Network Embedding +2

Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding

no code implementations3 Feb 2022 Chao Wang, Tao Dong, Youxiang Duan, Qifeng Sun, Peiying Zhang

Resource allocation in virtual network is essentially a problem of allocating underlying resources for virtual network requests (VNRs).

Management Network Embedding

Security-Aware Virtual Network Embedding Algorithm based on Reinforcement Learning

no code implementations3 Feb 2022 Peiying Zhang, Chao Wang, Chunxiao Jiang, Abderrahim Benslimane

In addition, as the use of intelligent learning algorithm to solve the problem of VNE has become a trend, this method is gradually outdated.

Network Embedding reinforcement-learning +1

Space-Air-Ground Integrated Multi-domain Network Resource Orchestration based on Virtual Network Architecture: a DRL Method

no code implementations3 Feb 2022 Peiying Zhang, Chao Wang, Neeraj Kumar, Lei Liu

Based on virtual network architecture and deep reinforcement learning (DRL), we model SAGIN's heterogeneous resource orchestration as a multi-domain virtual network embedding (VNE) problem, and propose a SAGIN cross-domain VNE algorithm.

Network Embedding

Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT

no code implementations3 Feb 2022 Peiying Zhang, Chao Wang, Chunxiao Jiang, Zhu Han

Therefore, we propose a FL algorithm assisted by DRL, which can take into account the privacy and efficiency of data training of IIoT equipment.

Federated Learning Management +3

VisCode: Embedding Information in Visualization Images using Encoder-Decoder Network

no code implementations7 Sep 2020 Peiying Zhang, Chenhui Li, Changbo Wang

We propose to use visualization images and QR codes data as training data and design a robust deep encoder-decoder network.

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