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Thermal Chameleon: Task-Adaptive Tone-Mapping for Radiometric Thermal-Infrared Images

IEEE robotics and automation letters, 2024-12, Vol.9 (12), p.10827-10834

2024

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Knowledge-Guided Causal Intervention for Weakly-Supervised Object Localization

IEEE transactions on knowledge and data engineering, 2024-11, Vol.36 (11), p.6477-6489

2024

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CTS: Concurrent Teacher-Student Reinforcement Learning for Legged Locomotion

IEEE robotics and automation letters, 2024-11, Vol.9 (11), p.9191-9198

2024

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Trusted Model Aggregation With Zero-Knowledge Proofs in Federated Learning

IEEE transactions on parallel and distributed systems, 2024-11, Vol.35 (11), p.2284-2296

2024

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Prototype Similarity Distillation for Communication-Efficient Federated Unsupervised Representation Learning

IEEE transactions on knowledge and data engineering, 2024-11, Vol.36 (11), p.6865-6876

2024

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Multi-Teachers Distillation Strategy for Target-Oriented Collision-Free Grasping in Clutter

IEEE robotics and automation letters, 2024-11, Vol.9 (11), p.10303-10310

2024

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Collaborative Learning With Heterogeneous Local Models: A Rule-Based Knowledge Fusion Approach

IEEE transactions on knowledge and data engineering, 2024-11, Vol.36 (11), p.5768-5783

2024

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HGS-Mapping: Online Dense Mapping Using Hybrid Gaussian Representation in Urban Scenes

IEEE robotics and automation letters, 2024-11, Vol.9 (11), p.9573-9580

2024

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Adaptive Knowledge Recomposition for Personalized Federated Learning via Discrete Wavelet Transform

IEEE internet of things journal, 2024-11, Vol.11 (21), p.35610-35624

2024

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FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning

IEEE journal on selected areas in communications, 2024-11, Vol.42 (11), p.3064-3077

2024

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Enhancing Few-Shot Out-of-Distribution Detection with Pre-Trained Model Features

IEEE transactions on image processing, 2024-10, Vol.PP, p.1-1

2024

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PUMA: Efficient Continual Graph Learning for Node Classification With Graph Condensation

IEEE transactions on knowledge and data engineering, 2024-10, p.1-12

2024

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BFKD: Blockchain-Based Federated Knowledge Distillation for Aviation Internet of Things

IEEE transactions on reliability, 2024-10, p.1-14

2024

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Integrating Knowledge Distillation and Transfer Learning for Enhanced QoT-Estimation in Optical Networks

IEEE access, 2024-10, p.1-1

2024

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Heterogeneous Federated Learning Framework for IIoT Based on Selective Knowledge Distillation

IEEE transactions on industrial informatics, 2024-10, p.1-12

2024

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TFD-Net: Transformer Deviation Network for Weakly Supervised Anomaly Detection

IEEE eTransactions on network and service management, 2024-10, p.1-1

2024

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Exploring Relational Knowledge for Source-free Domain Adaptation

IEEE transactions on circuits and systems for video technology, 2024-10, p.1-1

2024

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FMSD: Focal Multi-scale Shape-feature Distillation Network for Small Fasteners Detection in Electric Power Scene

IEEE transactions on circuits and systems for video technology, 2024-10, p.1-1

2024

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DFKD: Dynamic Focused Knowledge Distillation Approach for Insulator Defect Detection

IEEE transactions on instrumentation and measurement, 2024-10, p.1-1

2024

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Large Language Models for Zero Touch Network Configuration Management

IEEE communications magazine, 2024-10, p.1-8

2024

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Continual Learning With Knowledge Distillation: A Survey

IEEE transaction on neural networks and learning systems, 2024-10, Vol.PP, p.1-21

2024

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Lightweight Knowledge Distillation and Feature Compression Model for User Click-Through Rates Prediction in Edge Computing Scenarios

IEEE internet of things journal, 2024-10, p.1-1

2024

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Deep Reinforcement Learning With Curriculum Design for Quantum State Classification

IEEE transactions on emerging topics in computing, 2024-10, p.1-15

2024

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Optimizing Question Answering Systems in Education: Addressing Domain-Specific Challenges

IEEE access, 2024-10, p.1-1

2024

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A Data Completion Algorithm Based on Low-Rank Prior Knowledge for Data-Driven Applications

IEEE eTransactions on network and service management, 2024-10, p.1-1

2024

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Thermal Chameleon: Task-Adaptive Tone-Mapping for Radiometric Thermal-Infrared Images

Knowledge-Guided Causal Intervention for Weakly-Supervised Object Localization

CTS: Concurrent Teacher-Student Reinforcement Learning for Legged Locomotion

Trusted Model Aggregation With Zero-Knowledge Proofs in Federated Learning

Prototype Similarity Distillation for Communication-Efficient Federated Unsupervised Representation Learning

Multi-Teachers Distillation Strategy for Target-Oriented Collision-Free Grasping in Clutter

Collaborative Learning With Heterogeneous Local Models: A Rule-Based Knowledge Fusion Approach

HGS-Mapping: Online Dense Mapping Using Hybrid Gaussian Representation in Urban Scenes

Adaptive Knowledge Recomposition for Personalized Federated Learning via Discrete Wavelet Transform

FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning

Enhancing Few-Shot Out-of-Distribution Detection with Pre-Trained Model Features

PUMA: Efficient Continual Graph Learning for Node Classification With Graph Condensation

BFKD: Blockchain-Based Federated Knowledge Distillation for Aviation Internet of Things

Integrating Knowledge Distillation and Transfer Learning for Enhanced QoT-Estimation in Optical Networks

Heterogeneous Federated Learning Framework for IIoT Based on Selective Knowledge Distillation

TFD-Net: Transformer Deviation Network for Weakly Supervised Anomaly Detection

Exploring Relational Knowledge for Source-free Domain Adaptation

FMSD: Focal Multi-scale Shape-feature Distillation Network for Small Fasteners Detection in Electric Power Scene

DFKD: Dynamic Focused Knowledge Distillation Approach for Insulator Defect Detection

Large Language Models for Zero Touch Network Configuration Management

Continual Learning With Knowledge Distillation: A Survey

Lightweight Knowledge Distillation and Feature Compression Model for User Click-Through Rates Prediction in Edge Computing Scenarios

Deep Reinforcement Learning With Curriculum Design for Quantum State Classification

Optimizing Question Answering Systems in Education: Addressing Domain-Specific Challenges

A Data Completion Algorithm Based on Low-Rank Prior Knowledge for Data-Driven Applications

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