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Continual Learning for Robotic Grasping Detection With Knowledge Transferring

IEEE transactions on industrial electronics (1982), 2024-09, Vol.71 (9), p.11019-11027

2024

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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

Unifying Large Language Models and Knowledge Graphs: A Roadmap

IEEE transactions on knowledge and data engineering, 2024-07, Vol.36 (7), p.3580-3599

2024

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IEEE_Xplore

A Robust Heterogeneous Offloading Setup Using Adversarial Training

IEEE transactions on mobile computing, 2024-07, Vol.23 (7), p.7927-7938

2024

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IEEE_Xplore

Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling

IEEE transactions on knowledge and data engineering, 2024-07, Vol.36 (7), p.3091-3110

2024

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MoBoo: Memory-Boosted Vision Transformer for Class-Incremental Learning

IEEE transactions on circuits and systems for video technology, 2024-06, p.1-1

2024

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IEEE_Xplore

Confidence-Driven Region Mixing for Optical Remote Sensing Domain Adaptation Object Detection

IEEE transactions on geoscience and remote sensing, 2024-06, p.1-1

2024

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IEEE_Xplore

APCodec: A Neural Audio Codec With Parallel Amplitude and Phase Spectrum Encoding and Decoding

IEEE/ACM transactions on audio, speech, and language processing, 2024-06, p.1-14

2024

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IEEE_Xplore

Task-Oriented Multi-User Semantic Communication With Lightweight Semantic Encoder and Fast Training for Resource-Constrained Terminal Devices

IEEE wireless communications letters, 2024-06, p.1-1

2024

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IEEE_Xplore

Multi-Scale Semantic Map Distillation for Lightweight Pavement Crack Detection

IEEE transactions on intelligent transportation systems, 2024-06, p.1-13

2024

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IEEE_Xplore

Mitigating Accuracy-Robustness Trade-Off Via Balanced Multi-Teacher Adversarial Distillation

IEEE transactions on pattern analysis and machine intelligence, 2024-06, Vol.PP, p.1-14

2024

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IEEE_Xplore

Efficient Dual Attention Based Knowledge Distillation Network for Unsupervised Wafer Map Anomaly Detection

IEEE transactions on semiconductor manufacturing, 2024-06, p.1-1

2024

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IEEE_Xplore

Knowledge Collaboration-Based Resource Allocation in 6G IoT: A Graph Attention RL Approach

IEEE internet of things journal, 2024-06, p.1-1

2024

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IEEE_Xplore

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

IEEE sensors journal, 2024-06, Vol.24 (12), p.20200-20218

2024

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IEEE_Xplore

Heterogeneous Knowledge Distillation for Anomaly Detection

IEEE access, 2024-06, p.1-1

2024

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Prior Knowledge-guided Triple-Domain Transformer-GAN for Direct PET Reconstruction from Low-Count Sinograms

IEEE transactions on medical imaging, 2024-06, Vol.PP, p.1-1

2024

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IEEE_Xplore

Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization

IEEE/ACM transactions on audio, speech, and language processing, 2024-06, p.1-15

2024

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IEEE_Xplore

One Teacher is Enough: A Server-Clueless Federated Learning With Knowledge Distillation

IEEE transactions on services computing, 2024-06, p.1-14

2024

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IEEE_Xplore

A Siamese Neural Network Framework with Sememe-based Context Extraction for Interactive Argument Pair Identification

IEEE signal processing letters, 2024-06, p.1-5

2024

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IEEE_Xplore

Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training

IEEE transactions on dependable and secure computing, 2024-06, p.1-13

2024

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IEEE_Xplore

Twin Fuzzy Networks With Interpolation Consistency Regularization for Weakly-Supervised Anomaly Detection

IEEE transactions on fuzzy systems, 2024-06, p.1-12

2024

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IEEE_Xplore

Uncertainty-Aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data

IEEE internet of things journal, 2024-06, p.1-1

2024

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IEEE_Xplore

Mutual Knowledge Distillation based Personalized Federated Learning for Smart Edge Computing

IEEE transactions on consumer electronics, 2024-06, p.1-1

2024

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IEEE_Xplore

Knowledge-routed Automatic Diagnosis with Heterogeneous Patient-oriented Graph

IEEE access, 2024-06, p.1-1

2024

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Verfügbarkeit prüfen

Cooperative Knowledge Distillation Based Tiny DNN for UAV-Assisted Mobile Edge Network

IEEE internet of things journal, 2024-06, p.1-1

2024

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IEEE_Xplore

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Continual Learning for Robotic Grasping Detection With Knowledge Transferring

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

Unifying Large Language Models and Knowledge Graphs: A Roadmap

A Robust Heterogeneous Offloading Setup Using Adversarial Training

Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling

MoBoo: Memory-Boosted Vision Transformer for Class-Incremental Learning

Confidence-Driven Region Mixing for Optical Remote Sensing Domain Adaptation Object Detection

APCodec: A Neural Audio Codec With Parallel Amplitude and Phase Spectrum Encoding and Decoding

Task-Oriented Multi-User Semantic Communication With Lightweight Semantic Encoder and Fast Training for Resource-Constrained Terminal Devices

Multi-Scale Semantic Map Distillation for Lightweight Pavement Crack Detection

Mitigating Accuracy-Robustness Trade-Off Via Balanced Multi-Teacher Adversarial Distillation

Efficient Dual Attention Based Knowledge Distillation Network for Unsupervised Wafer Map Anomaly Detection

Knowledge Collaboration-Based Resource Allocation in 6G IoT: A Graph Attention RL Approach

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

Heterogeneous Knowledge Distillation for Anomaly Detection

Prior Knowledge-guided Triple-Domain Transformer-GAN for Direct PET Reconstruction from Low-Count Sinograms

Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization

One Teacher is Enough: A Server-Clueless Federated Learning With Knowledge Distillation

A Siamese Neural Network Framework with Sememe-based Context Extraction for Interactive Argument Pair Identification

Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training

Twin Fuzzy Networks With Interpolation Consistency Regularization for Weakly-Supervised Anomaly Detection

Uncertainty-Aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data

Mutual Knowledge Distillation based Personalized Federated Learning for Smart Edge Computing

Knowledge-routed Automatic Diagnosis with Heterogeneous Patient-oriented Graph

Cooperative Knowledge Distillation Based Tiny DNN for UAV-Assisted Mobile Edge Network

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