Search Results - "Bai, Zongwen"
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3-D-ANAS: 3-D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification
Published in IEEE transactions on geoscience and remote sensing (2022)“…Hyperspectral images (HSIs) provide abundant spectral and spatial information, playing an irreplaceable role in land-cover classification. Recently, based on…”
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Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration
Published in International journal of computer vision (2022)“…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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Denoising Aggregation of Graph Neural Networks by Using Principal Component Analysis
Published in IEEE transactions on industrial informatics (01-03-2023)“…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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A hierarchical sampling based triplet network for fine-grained image classification
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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A superior image inpainting scheme using Transformer-based self-supervised attention GAN model
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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DecomVQANet: Decomposing visual question answering deep network via tensor decomposition and regression
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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Intelligent Internet of Things System for Smart Home Optimal Convection
Published in IEEE transactions on industrial informatics (01-06-2021)“…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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Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification
Published in IEEE transactions on geoscience and remote sensing (2022)“…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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Improving performance and efficiency of Graph Neural Networks by injective aggregation
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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MobileGCN applied to low-dimensional node feature learning
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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D3D: Dual 3-D Convolutional Network for Real-Time Action Recognition
Published in IEEE transactions on industrial informatics (01-07-2021)“…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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Deep Neural Network Heuristic Hierarchization for Cooperative Intelligent Transportation Fleet Management
Published in IEEE transactions on intelligent transportation systems (01-09-2022)“…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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13
Tripartite‐structure transformer for hyperspectral image classification
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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14
Design of affinity-aware encoding by embedding graph centrality for graph classification
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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15
Decomposed Neural Architecture Search for image denoising
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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Going Deeper with Densely Connected Convolutional Neural Networks for Multispectral Pansharpening
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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An improved algorithm for the vertex cover $P_3$ problem on graphs of bounded treewidth
Published in Discrete mathematics and theoretical computer science (01-11-2019)“…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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An improved algorithm for the vertex cover P3 problem on graphs of bounded treewidth
Published in Discrete mathematics and theoretical computer science (01-10-2019)“…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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Going Deeper with Dense Connectedly Convolutional Neural Networks for Multispectral Pansharpening
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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Algorithm designed for image inpainting based on decomposition and fractal
Published in Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology (01-08-2011)“…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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