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Future video frame prediction based on generative motion-assistant discriminative network

Applied soft computing, 2023-03, Vol.135, p.110028, Article 110028

2023

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Flexible sparse robust low-rank approximation of matrix for image feature selection and classification

Soft computing (Berlin, Germany), 2023-12, Vol.27 (23), p.17603-17620

2023

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Low-rank approximation-based bidirectional linear discriminant analysis for image data

Multimedia tools and applications, 2024-02, Vol.83 (7), p.19369-19389

2024

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Video prediction for driving scenes with a memory differential motion network model

Applied intelligence (Dordrecht, Netherlands), 2023-02, Vol.53 (4), p.4784-4800

2023

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Sparse low-rank approximation of matrix and local preservation for unsupervised image feature selection

Applied intelligence (Dordrecht, Netherlands), 2023-11, Vol.53 (21), p.25715-25730

2023

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Research on the optimisation of whitelisting technology for network firewall in industrial control system using genetic algorithm

International journal of communication networks and distributed systems, 2024-01, Vol.30 (1), p.30-41

2024

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Multi-view clustering with Laplacian rank constraint based on symmetric and nonnegative low-rank representation

Computer vision and image understanding, 2023-11, Vol.236, p.103829, Article 103829

2023

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Latent low‐rank representation sparse regression model with symmetric constraint for unsupervised feature selection

IET image processing, 2023-07, Vol.17 (9), p.2791-2805

2023

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Vague-Segment Technique: Automatic Computation of Tumor Stroma Ratio for Breast Cancer on Whole Slides

IEEE journal of biomedical and health informatics, 2024-02, Vol.28 (2), p.905-916

2024

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Polarimetric Direction of Arrival Estimations Based on Adaptive Linear Time-Frequency Transforms

Wireless communications and mobile computing, 2022-08, Vol.2022, p.1-10

2022

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Development of computer network security management technology based on artificial intelligence under big data

Wireless networks, 2023-10

2023

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Robust graph regularised sparse matrix regression for two-dimensional supervised feature selection

IET image processing, 2020-07, Vol.14 (9), p.1740-1749

2020

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Joint low-rank project embedding and optimal mean principal component analysis

IET image processing, 2020-06, Vol.14 (8), p.1457-1466

2020

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Low‐rank nonnegative sparse representation and local preservation‐based matrix regression for supervised image feature selection

IET image processing, 2021-11, Vol.15 (13), p.3021-3036

2021

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DP-LinkNet: A convolutional network for historical document image binarization

KSII Transactions on Internet and Information Systems, 2021, 15(5), , pp.1778-1797

2021

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Optic disc and optic cup segmentation based on anatomy guided cascade network

Computer methods and programs in biomedicine, 2020-12, Vol.197, p.105717-105717, Article 105717

2020

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Enabling Efficient Fast Convolution Algorithms on GPUs via MegaKernels

IEEE transactions on computers, 2020-07, Vol.69 (7), p.986-997

2020

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Data-driven decision aids for purchasing battery electric vehicles based on PROMETHEE-II methodology

IEEE access, 2024-01, Vol.12, p.1-1

2024

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Non-negative consistency affinity graph learning for unsupervised feature selection and clustering

Engineering applications of artificial intelligence, 2024-09, Vol.135, p.108784, Article 108784

2024

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Optimised memory allocation for less false abortion and better performance in hardware transactional memory

International journal of parallel, emergent and distributed systems, 2020-07, Vol.35 (4), p.483-491

2020

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Joint waveform design for multi-user maritime integrated sensing and communication

Wireless networks, 2024-08, Vol.30 (6), p.5919-5930

2024

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Physics-informed neural network for simulating magnetic field of coaxial magnetic gear

Engineering applications of artificial intelligence, 2024-07, Vol.133, p.108302, Article 108302

2024

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A comment on “Automata theory based on complete residuated lattice-valued logic: Pushdown automata”

Fuzzy sets and systems, 2012-07, Vol.199, p.130-135

Guo, Xiuhong

2012

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Dynamic Graph Regularization and Label Relaxation-Based Sparse Matrix Regression for Two-Dimensional Feature Selection

IEEE access, 2020, Vol.8, p.62855-62870

2020

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Increasing the efficiency and accuracy of the ABACUS protein sequence design method

Bioinformatics, 2020-01, Vol.36 (1), p.136-144

2020

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Future video frame prediction based on generative motion-assistant discriminative network

Flexible sparse robust low-rank approximation of matrix for image feature selection and classification

Low-rank approximation-based bidirectional linear discriminant analysis for image data

Video prediction for driving scenes with a memory differential motion network model

Sparse low-rank approximation of matrix and local preservation for unsupervised image feature selection

Research on the optimisation of whitelisting technology for network firewall in industrial control system using genetic algorithm

Multi-view clustering with Laplacian rank constraint based on symmetric and nonnegative low-rank representation

Latent low‐rank representation sparse regression model with symmetric constraint for unsupervised feature selection

Vague-Segment Technique: Automatic Computation of Tumor Stroma Ratio for Breast Cancer on Whole Slides

Polarimetric Direction of Arrival Estimations Based on Adaptive Linear Time-Frequency Transforms

Development of computer network security management technology based on artificial intelligence under big data

Robust graph regularised sparse matrix regression for two-dimensional supervised feature selection

Joint low-rank project embedding and optimal mean principal component analysis

Low‐rank nonnegative sparse representation and local preservation‐based matrix regression for supervised image feature selection

DP-LinkNet: A convolutional network for historical document image binarization

Optic disc and optic cup segmentation based on anatomy guided cascade network

Enabling Efficient Fast Convolution Algorithms on GPUs via MegaKernels

Data-driven decision aids for purchasing battery electric vehicles based on PROMETHEE-II methodology

Non-negative consistency affinity graph learning for unsupervised feature selection and clustering

Optimised memory allocation for less false abortion and better performance in hardware transactional memory

Joint waveform design for multi-user maritime integrated sensing and communication

Physics-informed neural network for simulating magnetic field of coaxial magnetic gear

A comment on “Automata theory based on complete residuated lattice-valued logic: Pushdown automata”

Dynamic Graph Regularization and Label Relaxation-Based Sparse Matrix Regression for Two-Dimensional Feature Selection

Increasing the efficiency and accuracy of the ABACUS protein sequence design method

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