Search Results - "Bai, Zongwen"

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  1. 1

    3-D-ANAS: 3-D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification by Zhang, Haokui, Gong, Chengrong, Bai, Yunpeng, Bai, Zongwen, Li, Ying

    “…Hyperspectral images (HSIs) provide abundant spectral and spatial information, playing an irreplaceable role in land-cover classification. Recently, based on…”
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    Journal Article
  2. 2

    Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration by Zhang, Haokui, Li, Ying, Chen, Hao, Gong, Chengrong, Bai, Zongwen, Shen, Chunhua

    “…Recently, much attention has been spent on neural architecture search (NAS), aiming to outperform those manually-designed neural architectures on high-level…”
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    Journal Article
  3. 3

    Denoising Aggregation of Graph Neural Networks by Using Principal Component Analysis by Dong, Wei, Wozniak, Marcin, Wu, Junsheng, Li, Weigang, Bai, Zongwen

    “…To avoid the overfitting phenomenon that appeared in performing graph neural networks (GNNs) on test examples, the feature encoding scheme of GNNs usually…”
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    Journal Article
  4. 4

    A hierarchical sampling based triplet network for fine-grained image classification by He, Guiqing, Li, Feng, Wang, Qiyao, Bai, Zongwen, Xu, Yuelei

    Published in Pattern recognition (01-07-2021)
    “…•Building layered ontology for 3 different databases to guide the layered knowledge of the network.•Hierarchical sampling method for mining more effective hard…”
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    Journal Article
  5. 5

    A superior image inpainting scheme using Transformer-based self-supervised attention GAN model by Zhou, Meili, Liu, Xiangzhen, Yi, Tingting, Bai, Zongwen, Zhang, Pei

    Published in Expert systems with applications (15-12-2023)
    “…Image inpainting is the task of reconstructing the missing regions in diverse imaging as well as graphic applications which includes object elimination, image…”
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    Journal Article
  6. 6

    DecomVQANet: Decomposing visual question answering deep network via tensor decomposition and regression by Bai, Zongwen, Li, Ying, Woźniak, Marcin, Zhou, Meili, Li, Di

    Published in Pattern recognition (01-02-2021)
    “…•An optimal compression and acceleration solution for Visual Question Answering systems.•The method reduces parameters about 80% while performance only drops…”
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    Journal Article
  7. 7

    Intelligent Internet of Things System for Smart Home Optimal Convection by Zielonka, Adam, Sikora, Andrzej, Wozniak, Marcin, Wei, Wei, Ke, Qiao, Bai, Zongwen

    “…The fusion of Internet of Things (IoTs) and computational intelligence makes it possible to increase energetic efficiency of our homes. Connected devices can…”
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    Journal Article
  8. 8

    Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification by Xue, Xizhe, Zhang, Haokui, Fang, Bei, Bai, Zongwen, Li, Ying

    “…Hyperspectral image (HSI) classification has been a hot topic for decides, as HSIs have rich spatial and spectral information, and provide a strong basis for…”
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    Journal Article
  9. 9

    Improving performance and efficiency of Graph Neural Networks by injective aggregation by Dong, Wei, Wu, Junsheng, Zhang, Xinwan, Bai, Zongwen, Wang, Peng, Woźniak, Marcin

    Published in Knowledge-based systems (27-10-2022)
    “…Aggregation functions are regarded as the multiplication between an aggregation matrix and node embeddings, based on which a full rank matrix can enhance…”
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    Journal Article
  10. 10

    MobileGCN applied to low-dimensional node feature learning by Dong, Wei, Wu, Junsheng, Bai, Zongwen, Hu, Yaoqi, Li, Weigang, Qiao, Wei, Woźniak, Marcin

    Published in Pattern recognition (01-04-2021)
    “…•This paper proposes a novel Graph Convolutional Networks (GCNs), namely MobileGCN, for semi-supervised learning on graphs represented by low-dimensional node…”
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    Journal Article
  11. 11

    D3D: Dual 3-D Convolutional Network for Real-Time Action Recognition by Jiang, Shengqin, Qi, Yuankai, Zhang, Haokui, Bai, Zongwen, Lu, Xiaobo, Wang, Peng

    “…Three-dimensional convolutional neural networks (3D CNNs) have been explored to learn spatio-temporal information for video-based human action recognition…”
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    Journal Article
  12. 12

    Deep Neural Network Heuristic Hierarchization for Cooperative Intelligent Transportation Fleet Management by Ke, Qiao, Silka, Jakub, Wieczorek, Michal, Bai, Zongwen, Wozniak, Marcin

    “…In this article, we propose malfunction classifications for trucks, a novel idea for smart fleet management systems. In the proposed cooperative cooperative…”
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    Journal Article
  13. 13

    Tripartite‐structure transformer for hyperspectral image classification by Wan, Liuwei, Zhou, Meili, Jiang, Shengqin, Bai, Zongwen, Zhang, Haokui

    Published in Computational intelligence (01-02-2024)
    “…Hyperspectral images contain rich spatial and spectral information, which provides a strong basis for distinguishing different land‐cover objects. Therefore,…”
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    Journal Article
  14. 14

    Design of affinity-aware encoding by embedding graph centrality for graph classification by Dong, Wei, Wu, Junsheng, Bai, Zongwen, Li, Weigang, Qiao, Wei

    Published in Neurocomputing (Amsterdam) (28-04-2020)
    “…Deep learning methods for graph classification are critical for graph data mining. Recently, graph convolutional networks (GCNs) have been able to achieve…”
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    Journal Article
  15. 15

    Decomposed Neural Architecture Search for image denoising by Li, Di, Bai, Yunpeng, Bai, Zongwen, Li, Ying, Shang, Changjing, Shen, Qiang

    Published in Applied soft computing (01-07-2022)
    “…In practical applications of deep learning, as the demand for the modeling capability increases, the network size may need to be massively enlarged in…”
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    Journal Article
  16. 16

    Going Deeper with Densely Connected Convolutional Neural Networks for Multispectral Pansharpening by Wang, Dong, Li, Ying, Ma, Li, Bai, Zongwen, Chan, Jonathan

    Published in Remote sensing (Basel, Switzerland) (07-11-2019)
    “…In recent years, convolutional neural networks (CNNs) have shown promising performance in the field of multispectral (MS) and panchromatic (PAN) image fusion…”
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    Journal Article
  17. 17

    An improved algorithm for the vertex cover $P_3$ problem on graphs of bounded treewidth by Zongwen Bai, Jianhua Tu, Yongtang Shi

    “…Given a graph $G=(V,E)$ and a positive integer $t\geq2$, the task in the vertex cover $P_t$ ($VCP_t$) problem is to find a minimum subset of vertices…”
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    Journal Article
  18. 18

    An improved algorithm for the vertex cover P3 problem on graphs of bounded treewidth by Bai, Zongwen, Tu, Jianhua, Shi, Yongtang

    “…Given a graph G = (V, E) and a positive integer t ≥ 2, the task in the vertex cover Pt (VCPt) problem is to find a minimum subset of vertices F ⊆ V such that…”
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    Journal Article
  19. 19

    Going Deeper with Dense Connectedly Convolutional Neural Networks for Multispectral Pansharpening by Dong Wang, Ying Li, Li Ma, Zongwen Bai, Jonathan Cheung-Wai Chan

    Published in Remote sensing (Basel, Switzerland) (01-11-2019)
    “…In recent years, convolutional neural networks (CNNs) have shown promising performance in the field of multispectral (MS) and panchromatic (PAN) image fusion…”
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    Journal Article
  20. 20

    Algorithm designed for image inpainting based on decomposition and fractal by Zongwen Bai, Weihu Zhang, Meili Zhou, Jie Bai

    “…An image inpainting algorithm based on fractal and image decomposition is proposed in this paper. The image is decomposition into two element structure and…”
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    Conference Proceeding