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

IEEE robotics and automation letters, 2024-11, Vol.9 (11), p.1-8

2024

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KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-Based Implicit Neural Representation

IEEE transactions on visualization and computer graphics, 2024-10, Vol.30 (10), p.6826-6838

2024

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CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge Distillation

IEEE journal of biomedical and health informatics, 2024-09, Vol.PP, p.1-13

2024

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Knowledge-Driven Rapid Adaptation to New Attacks

IEEE transactions on cognitive communications and networking, 2024-09, p.1-1

2024

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Efficient Lightweight Speaker Verification With Broadcasting CNN-Transformer and Knowledge Distillation Training of Self-Attention Maps

IEEE/ACM transactions on audio, speech, and language processing, 2024-09, p.1-16

2024

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Continuous short-term pain assessment in temporomandibular joint therapy using LSTM models supported by heat-induced pain data patterns

IEEE transactions on neural systems and rehabilitation engineering, 2024-09, Vol.PP, p.1-1

2024

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Factors Affecting the Use of Mobile Learning Among Higher Education Students in Developing Countries in a Post-Pandemic Context

IEEE-RITA, 2024-09, p.1-1

2024

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

IEEE internet of things journal, 2024-09, Vol.11 (18), p.30204-30216

2024

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

IEEE internet of things journal, 2024-09, Vol.11 (18), p.30413-30429

2024

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MECKD: Deep Learning-Based Fall Detection in Multi-Layer Mobile Edge Computing with Knowledge Distillation

IEEE sensors journal, 2024-09, p.1-1

2024

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Deep Mutual Distillation for Unsupervised Domain Adaptation Person Re-identification

IEEE transactions on multimedia, 2024-09, p.1-13

2024

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Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation

IEEE transactions on knowledge and data engineering, 2024-09, p.1-14

2024

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Knowledge-Aware Geometric Contourlet Semantic Learning for Hyperspectral Image Classification

IEEE transactions on circuits and systems for video technology, 2024-09, p.1-1

2024

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StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization

IEEE transactions on visualization and computer graphics, 2024-09, Vol.PP, p.1-11

2024

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Applied Federated Model Personalization in the Industrial Domain: A Comparative Study

IEEE open journal of the Communications Society, 2024-09, p.1-1

2024

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Trusted Model Aggregation with Zero-Knowledge Proofs in Federated Learning

IEEE transactions on parallel and distributed systems, 2024-09, p.1-13

2024

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A Semantic Controllable Long Text Steganography Framework Based on LLM Prompt Engineering and Knowledge Graph

IEEE signal processing letters, 2024-09, p.1-5

2024

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Knowledge Tracing Through Enhanced Questions and Directed Learning Interaction Based on Multigraph Embeddings in Intelligent Tutoring Systems

IEEE transactions on education, 2024-09, p.1-14

2024

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Camera-Incremental Object Re-Identification With Identity Knowledge Evolution

IEEE transactions on multimedia, 2024-09, p.1-15

2024

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Multi-view Few-shot Reasoning for Emerging Entities in Knowledge Graphs

IEEE transactions on big data, 2024-09, p.1-13

2024

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Prior-structure Driven Weakly-supervised Learning for Fine-grained Human Parsing

IEEE transactions on circuits and systems for video technology, 2024-09, p.1-1

2024

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Knowledge Inference Over Web 3.0 for Intelligent Fault Diagnosis in Industrial Internet of Things

IEEE transactions on network science and engineering, 2024-09, Vol.11 (5), p.3955-3968

2024

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Toward Explainable Multiparty Learning: A Contrastive Knowledge Sharing Framework

IEEE transactions on cybernetics, 2024-09, Vol.54 (9), p.5283-5296

2024

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Knowledge and Data Dual-Driven Channel Estimation and Feedback for Ultra-Massive MIMO Systems Under Hybrid Field Beam Squint Effect

IEEE transactions on wireless communications, 2024-09, Vol.23 (9), p.11240-11259

2024

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CTS: Concurrent Teacher-Student Reinforcement Learning for Legged Locomotion

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

KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-Based Implicit Neural Representation

CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge Distillation

Knowledge-Driven Rapid Adaptation to New Attacks

Efficient Lightweight Speaker Verification With Broadcasting CNN-Transformer and Knowledge Distillation Training of Self-Attention Maps

Continuous short-term pain assessment in temporomandibular joint therapy using LSTM models supported by heat-induced pain data patterns

Factors Affecting the Use of Mobile Learning Among Higher Education Students in Developing Countries in a Post-Pandemic Context

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

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

MECKD: Deep Learning-Based Fall Detection in Multi-Layer Mobile Edge Computing with Knowledge Distillation

Deep Mutual Distillation for Unsupervised Domain Adaptation Person Re-identification

Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation

Knowledge-Aware Geometric Contourlet Semantic Learning for Hyperspectral Image Classification

StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization

Applied Federated Model Personalization in the Industrial Domain: A Comparative Study

Trusted Model Aggregation with Zero-Knowledge Proofs in Federated Learning

A Semantic Controllable Long Text Steganography Framework Based on LLM Prompt Engineering and Knowledge Graph

Knowledge Tracing Through Enhanced Questions and Directed Learning Interaction Based on Multigraph Embeddings in Intelligent Tutoring Systems

Camera-Incremental Object Re-Identification With Identity Knowledge Evolution

Multi-view Few-shot Reasoning for Emerging Entities in Knowledge Graphs

Prior-structure Driven Weakly-supervised Learning for Fine-grained Human Parsing

Knowledge Inference Over Web 3.0 for Intelligent Fault Diagnosis in Industrial Internet of Things

Toward Explainable Multiparty Learning: A Contrastive Knowledge Sharing Framework

Knowledge and Data Dual-Driven Channel Estimation and Feedback for Ultra-Massive MIMO Systems Under Hybrid Field Beam Squint Effect

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