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Learning to Demodulate From Few Pilots via Offline and Online Meta-Learning

IEEE transactions on signal processing, 2021, Vol.69, p.226-239

2021

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Event‐triggered model reference adaptive control system design for SISO plants using meta‐learning‐based physics‐informed neural networks without labeled data and transfer learning

International journal of adaptive control and signal processing, 2024-04, Vol.38 (4), p.1442-1456

2024

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Dynamic ensemble pruning algorithms fusing meta-learning with heuristic parameter optimization for time series prediction

Expert systems with applications, 2023-09, Vol.225, p.120148, Article 120148

2023

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Meta‐learning shows great potential in plant disease recognition under few available samples

The Plant journal : for cell and molecular biology, 2023-05, Vol.114 (4), p.767-782

2023

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Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks

IEEE transactions on pattern analysis and machine intelligence, 2023-03, Vol.45 (3), p.3721-3737

2023

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Meta‐learning and the new challenges of machine learning

International journal of intelligent systems, 2021-11, Vol.36 (11), p.6240-6272

2021

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Federated Learning and Meta Learning: Approaches, Applications, and Directions

IEEE Communications surveys and tutorials, 2024-01, Vol.26 (1), p.571-618

2024

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Intelligent Fault Diagnosis of Rotary Machines: Conditional Auxiliary Classifier GAN Coupled With Meta Learning Using Limited Data

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-11

2021

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Contrastive Test-Time Adaptation

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.295-305

2022

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Lightweight Convolutional Transformers Enhanced Meta Learning for Compound Fault Diagnosis of Industrial Robot

IEEE transactions on instrumentation and measurement, 2023-01, Vol.72, p.1-1

2023

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Transfer prior knowledge from surrogate modelling: A meta-learning approach

Computers & structures, 2022-02, Vol.260, p.106719, Article 106719

2022

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Decentralized federated meta‐learning framework for few‐shot multitask learning

International journal of intelligent systems, 2022-11, Vol.37 (11), p.8490-8522

2022

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Wavelet-Prototypical Network Based on Fusion of Time and Frequency Domain for Fault Diagnosis

Sensors (Basel, Switzerland), 2021-02, Vol.21 (4), p.1483

2021

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Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.16123-16134

2022

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Causal Meta-transfer Learning for Cross-domain Few-shot Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2023-01, Vol.61, p.1-1

2023

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Power outage prediction using data streams: An adaptive ensemble learning approach with a feature‐ and performance‐based weighting mechanism

Risk analysis, 2024-03, Vol.44 (3), p.686-704

2024

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Characterization of Subsurface Hydrogeological Structures With Convolutional Conditional Neural Processes on Limited Training Data

Water resources research, 2022-12, Vol.58 (12), p.n/a

2022

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Combining Model-Agnostic Meta-Learning and Transfer Learning for Regression

Sensors (Basel, Switzerland), 2023-01, Vol.23 (2), p.583

2023

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Block-Fading Non-Stationary Channel Estimation for MIMO-OFDM Systems via Meta-Learning

IEEE communications letters, 2022-12, Vol.26 (12), p.2924-2928

2022

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Fighting fire with fire: A spatial–frequency ensemble relation network with generative adversarial learning for adversarial image classification

International journal of intelligent systems, 2021-05, Vol.36 (5), p.2081-2121

2021

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Few‐shot learning for word‐level scene text script identification

Computational intelligence, 2024-02, Vol.40 (1), p.n/a

2024

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6G-Enabled Consumer Electronics Device Intrusion Detection With Federated Meta-Learning and Digital Twins in a Meta-Verse Environment

IEEE transactions on consumer electronics, 2024-02, Vol.70 (1), p.3111-3119

2024

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Semi-Supervised Temporal Meta Learning Framework for Wind Turbine Bearing Fault Diagnosis Under Limited Annotation Data

IEEE transactions on instrumentation and measurement, 2024-01, Vol.73, p.1-1

2024

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Meta-FSEO: A Meta-Learning Fast Adaptation with Self-Supervised Embedding Optimization for Few-Shot Remote Sensing Scene Classification

Remote sensing (Basel, Switzerland), 2021-07, Vol.13 (14), p.2776

2021

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DFML: Dynamic Federated Meta-Learning for Rare Disease Prediction

IEEE/ACM transactions on computational biology and bioinformatics, 2024-07, Vol.21 (4), p.880-889

2024

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Learning to Demodulate From Few Pilots via Offline and Online Meta-Learning

Event‐triggered model reference adaptive control system design for SISO plants using meta‐learning‐based physics‐informed neural networks without labeled data and transfer learning

Dynamic ensemble pruning algorithms fusing meta-learning with heuristic parameter optimization for time series prediction

Meta‐learning shows great potential in plant disease recognition under few available samples

Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks

Meta‐learning and the new challenges of machine learning

Federated Learning and Meta Learning: Approaches, Applications, and Directions

Intelligent Fault Diagnosis of Rotary Machines: Conditional Auxiliary Classifier GAN Coupled With Meta Learning Using Limited Data

Contrastive Test-Time Adaptation

Lightweight Convolutional Transformers Enhanced Meta Learning for Compound Fault Diagnosis of Industrial Robot

Transfer prior knowledge from surrogate modelling: A meta-learning approach

Decentralized federated meta‐learning framework for few‐shot multitask learning

Wavelet-Prototypical Network Based on Fusion of Time and Frequency Domain for Fault Diagnosis

Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

Causal Meta-transfer Learning for Cross-domain Few-shot Hyperspectral Image Classification

Power outage prediction using data streams: An adaptive ensemble learning approach with a feature‐ and performance‐based weighting mechanism

Characterization of Subsurface Hydrogeological Structures With Convolutional Conditional Neural Processes on Limited Training Data

Combining Model-Agnostic Meta-Learning and Transfer Learning for Regression

Block-Fading Non-Stationary Channel Estimation for MIMO-OFDM Systems via Meta-Learning

Fighting fire with fire: A spatial–frequency ensemble relation network with generative adversarial learning for adversarial image classification

Few‐shot learning for word‐level scene text script identification

6G-Enabled Consumer Electronics Device Intrusion Detection With Federated Meta-Learning and Digital Twins in a Meta-Verse Environment

Semi-Supervised Temporal Meta Learning Framework for Wind Turbine Bearing Fault Diagnosis Under Limited Annotation Data

Meta-FSEO: A Meta-Learning Fast Adaptation with Self-Supervised Embedding Optimization for Few-Shot Remote Sensing Scene Classification

DFML: Dynamic Federated Meta-Learning for Rare Disease Prediction

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