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Electrical load forecasting based on the fusion of multi-scale features extracted by using neural ordinary differential equation

The Journal of supercomputing, 2025, Vol.81 (1), Article 49

2025

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Explicitly modeling relationships between domain-specific and domain-invariant interests for cross-domain recommendation

World wide web (Bussum), 2024-11, Vol.27 (6), p.73, Article 73

2024

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GPT for Translation: A Systematic Literature Review

SN computer science, 2024-10, Vol.5 (8), p.986, Article 986

2024

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DELIGHT: a willingness-aware collaborative edge service offloading utilizing deep reinforcement learning

Cluster computing, 2025-02, Vol.28 (1), p.39, Article 39

2025

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Mission Preparation for Self-Organizing UAV Swarms on Multiuser Platform

Programming and computer software, 2024-10, Vol.50 (Suppl 1), p.S39-S46

2024

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A zero-sum hybrid stochastic differential game with impulse controls

Science China. Information sciences, 2024-11, Vol.67 (11), p.212209, Article 212209

2024

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Encoder embedding for general graph and node classification

Applied network science, 2024-12, Vol.9 (1), p.66-17, Article 66

Shen, Cencheng

2024

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Artificial intelligence techniques for dynamic security assessments - a survey

The Artificial intelligence review, 2024-10, Vol.57 (12), p.340, Article 340

2024

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A survey on feature extraction and learning techniques for link prediction in homogeneous and heterogeneous complex networks

The Artificial intelligence review, 2024-10, Vol.57 (12), p.348, Article 348

2024

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Interval analysis for neural networks with application to fault detection

Science China. Information sciences, 2024-11, Vol.67 (11), p.212205, Article 212205

2024

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Artificial afferent neurons based on the metal-insulator transition of VO2

Science China. Information sciences, 2024-11, Vol.67 (11), p.212401, Article 212401

2024

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A review on adversarial–based deep transfer learning mechanical fault diagnosis

Journal of big data, 2024-10, Vol.11 (1), p.151, Article 151

2024

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Collaborative filtering recommendation based on K-nearest neighbor and non-negative matrix factorization algorithm

The Journal of supercomputing, 2025, Vol.81 (1), Article 79

2025

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Mitigating interference of microservices with a scoring mechanism in large-scale clusters

The Journal of supercomputing, 2025, Vol.81 (1)

2025

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Stochastic normalized gradient descent with momentum for large-batch training

Science China. Information sciences, 2024-11, Vol.67 (11), p.212101, Article 212101

2024

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TPpred-SC: multi-functional therapeutic peptide prediction based on multi-label supervised contrastive learning

Science China. Information sciences, 2024-11, Vol.67 (11), p.212105, Article 212105

2024

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A scalable rule learning approach fusing multiple sources of information

Cluster computing, 2025-02, Vol.28 (1), p.20, Article 20

2025

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Coalition formation problem: a capability-centric analysis and general model

Science China. Information sciences, 2024-11, Vol.67 (11), p.212202, Article 212202

2024

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Enhancing weakly supervised semantic segmentation through multi-class token attention learning

The Journal of supercomputing, 2025, Vol.81 (1), Article 74

2025

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SBSM-Pro: support bio-sequence machine for proteins

Science China. Information sciences, 2024-11, Vol.67 (11), p.212106, Article 212106

2024

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Multi-indicator collaborative evolutionary algorithm for many-objective optimization

Cluster computing, 2025-02, Vol.28 (1), p.35, Article 35

2025

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PointSmile: point self-supervised learning via curriculum mutual information

Science China. Information sciences, 2024-11, Vol.67 (11), p.212104, Article 212104

2024

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Optimizing production planning and sequencing in hot strip mills: an approach using multi-objective genetic algorithms

The Journal of supercomputing, 2025, Vol.81 (1), Article 88

2025

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An efficient class-dependent learning label approach using feature selection to improve multi-label classification algorithms

Cluster computing, 2025-02, Vol.28 (1), p.38, Article 38

2025

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Electrical load forecasting based on the fusion of multi-scale features extracted by using neural ordinary differential equation

Explicitly modeling relationships between domain-specific and domain-invariant interests for cross-domain recommendation

GPT for Translation: A Systematic Literature Review

DELIGHT: a willingness-aware collaborative edge service offloading utilizing deep reinforcement learning

Ground calibration and network of the first CATCH pathfinder

Mission Preparation for Self-Organizing UAV Swarms on Multiuser Platform

A zero-sum hybrid stochastic differential game with impulse controls

Encoder embedding for general graph and node classification

Artificial intelligence techniques for dynamic security assessments - a survey

A survey on feature extraction and learning techniques for link prediction in homogeneous and heterogeneous complex networks

Interval analysis for neural networks with application to fault detection

Artificial afferent neurons based on the metal-insulator transition of VO2

A review on adversarial–based deep transfer learning mechanical fault diagnosis

Collaborative filtering recommendation based on K-nearest neighbor and non-negative matrix factorization algorithm

Mitigating interference of microservices with a scoring mechanism in large-scale clusters

Stochastic normalized gradient descent with momentum for large-batch training

TPpred-SC: multi-functional therapeutic peptide prediction based on multi-label supervised contrastive learning

A scalable rule learning approach fusing multiple sources of information

Coalition formation problem: a capability-centric analysis and general model

Enhancing weakly supervised semantic segmentation through multi-class token attention learning

SBSM-Pro: support bio-sequence machine for proteins

Multi-indicator collaborative evolutionary algorithm for many-objective optimization

PointSmile: point self-supervised learning via curriculum mutual information

Optimizing production planning and sequencing in hot strip mills: an approach using multi-objective genetic algorithms

An efficient class-dependent learning label approach using feature selection to improve multi-label classification algorithms

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