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A Novel Generative Adversarial Networks via Music Theory Knowledge for Early Fault Intelligent Diagnosis of Motor Bearings

IEEE transactions on industrial electronics (1982), 2024-08, Vol.71 (8), p.9777-9788

2024

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IEEE_Xplore

FedICT: Federated Multi-Task Distillation for Multi-Access Edge Computing

IEEE transactions on parallel and distributed systems, 2024-06, Vol.35 (6), p.1107-1121

2024

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ESSR: Evolving Sparse Sharing Representation for Multitask Learning

IEEE transactions on evolutionary computation, 2024-06, Vol.28 (3), p.748-762

2024

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IEEE_Xplore

Variational Inference Over Graph: Knowledge Representation for Deep Process Data Analytics

IEEE transactions on knowledge and data engineering, 2024-06, Vol.36 (6), p.2730-2744

2024

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IEEE_Xplore

Adaptive Curriculum Learning with Successor Features for Imbalanced Compositional Reward Functions

IEEE robotics and automation letters, 2024-06, Vol.9 (6), p.1-8

2024

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Learning From Human Educational Wisdom: A Student-Centered Knowledge Distillation Method

IEEE transactions on pattern analysis and machine intelligence, 2024-06, Vol.46 (6), p.4188-4205

2024

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Target-Embedding Autoencoder With Knowledge Distillation for Multi-Label Classification

IEEE transactions on emerging topics in computational intelligence, 2024-06, Vol.8 (3), p.2506-2517

2024

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IEEE_Xplore

Cross-Domain Recommendation via Progressive Structural Alignment

IEEE transactions on knowledge and data engineering, 2024-06, Vol.36 (6), p.2401-2415

2024

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IEEE_Xplore

Enhancing Cervical Cell Detection through Weakly Supervised Learning with Local Distillation Mechanism

IEEE access, 2024-05, p.1-1

2024

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Federated Learning FedLTailor: A Dynamic Weight Adjustment and Personalized Fusion Approach

IEEE access, 2024-05, p.1-1

2024

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Decentralized Gossip-Assisted Deep Learning Model Training for Resource-Constraint Edge Devices

IEEE transactions on computational social systems, 2024-05, p.1-10

2024

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Anomaly Detection for Medical Images Using Teacher-Student Model with Skip Connections and Multi-scale Anomaly Consistency

IEEE transactions on instrumentation and measurement, 2024-05, p.1-1

2024

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Teaching Compilers: Automatic Question Generation and Intelligent Assessment of Grammars' Parsing

IEEE transactions on learning technologies, 2024-05, p.1-11

2024

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Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment

IEEE internet of things journal, 2024-05, p.1-1

2024

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IEEE_Xplore

zkFL: Zero-Knowledge Proof-based Gradient Aggregation for Federated Learning

IEEE transactions on big data, 2024-05, p.1-14

2024

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Cross-Modal Contrastive Pre-training for Few-Shot Skeleton Action Recognition

IEEE transactions on circuits and systems for video technology, 2024-05, p.1-1

2024

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IEEE_Xplore

DyCR: A Dynamic Clustering and Recovering Network for Few-Shot Class-Incremental Learning

IEEE transaction on neural networks and learning systems, 2024-05, Vol.PP, p.1-14

2024

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IEEE_Xplore

Self-distillation with Augmentation in Feature Space

IEEE transactions on circuits and systems for video technology, 2024-05, p.1-1

2024

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IEEE_Xplore

An Efficient RGB-D Indoor Scene-Parsing Solution via Lightweight Multiflow Intersection and Knowledge Distillation

IEEE journal of selected topics in signal processing, 2024-05, p.1-9

2024

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IEEE_Xplore

LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction

IEEE transactions on cybernetics, 2024-05, Vol.PP, p.1-11

2024

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IEEE_Xplore

Learning an Augmented RGB Representation for Dynamic Hand Gesture Authentication

IEEE transactions on circuits and systems for video technology, 2024-05, p.1-1

2024

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IEEE_Xplore

GC2: Generalizable Continual Classification of Medical Images

IEEE transactions on medical imaging, 2024-05, Vol.PP, p.1-1

2024

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A Self-Distillation Contrastive Learning Architecture for Global and Local Underwater Terrain Feature Extraction and Matching

IEEE sensors journal, 2024-05, p.1-1

2024

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IEEE_Xplore

Enhancing Knowledge Reusability: A Distributed Multitask Machine Learning Approach

IEEE transactions on emerging topics in computing, 2024-05, p.1-14

2024

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IEEE_Xplore

Deep Class-Incremental Learning From Decentralized Data

IEEE transaction on neural networks and learning systems, 2024-05, Vol.35 (5), p.7190-7203

2024

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IEEE_Xplore

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A Novel Generative Adversarial Networks via Music Theory Knowledge for Early Fault Intelligent Diagnosis of Motor Bearings

FedICT: Federated Multi-Task Distillation for Multi-Access Edge Computing

ESSR: Evolving Sparse Sharing Representation for Multitask Learning

Variational Inference Over Graph: Knowledge Representation for Deep Process Data Analytics

Adaptive Curriculum Learning with Successor Features for Imbalanced Compositional Reward Functions

Learning From Human Educational Wisdom: A Student-Centered Knowledge Distillation Method

Target-Embedding Autoencoder With Knowledge Distillation for Multi-Label Classification

Cross-Domain Recommendation via Progressive Structural Alignment

Enhancing Cervical Cell Detection through Weakly Supervised Learning with Local Distillation Mechanism

Federated Learning FedLTailor: A Dynamic Weight Adjustment and Personalized Fusion Approach

Decentralized Gossip-Assisted Deep Learning Model Training for Resource-Constraint Edge Devices

Anomaly Detection for Medical Images Using Teacher-Student Model with Skip Connections and Multi-scale Anomaly Consistency

Teaching Compilers: Automatic Question Generation and Intelligent Assessment of Grammars' Parsing

Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment

zkFL: Zero-Knowledge Proof-based Gradient Aggregation for Federated Learning

Cross-Modal Contrastive Pre-training for Few-Shot Skeleton Action Recognition

DyCR: A Dynamic Clustering and Recovering Network for Few-Shot Class-Incremental Learning

Self-distillation with Augmentation in Feature Space

An Efficient RGB-D Indoor Scene-Parsing Solution via Lightweight Multiflow Intersection and Knowledge Distillation

LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction

Learning an Augmented RGB Representation for Dynamic Hand Gesture Authentication

GC2: Generalizable Continual Classification of Medical Images

A Self-Distillation Contrastive Learning Architecture for Global and Local Underwater Terrain Feature Extraction and Matching

Enhancing Knowledge Reusability: A Distributed Multitask Machine Learning Approach

Deep Class-Incremental Learning From Decentralized Data

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