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Knowledge Management with Optimization and Security (KMOS)
Study on Chinese Named Entity Recognition Based on Dynamic Fusion and Adversarial Training
Spatial Semantic Learning for Travel Time Estimation
A Fine-Grained Approach for Vulnerabilities Discovery using Augmented Vulnerability Signatures
PPBR-FL: a Privacy-preserving and Byzantine-robust Federated Learning System
GAN-Based Fusion Adversarial Training
MAST-NER: A Low-Resource Named Entity Recognition Method based on Trigger Pool
Fuzzy information measures feature selection using descriptive statistics data
Prompt-Based Self-Training Framework for Few-Shot Named Entity Recognition
Learning Advisor-Advisee Relationship from Multiplex Network Structure
CorefDRE: Coref-aware Document-level Relation Extraction
Single Pollutant Prediction Approach by Fusing MLSTM and CNN
A Multi-objective Evolutionary Algorithm Based on Multi-layer Network Reduction for Community Detection
Detection DDoS of attacks based on federated learning with Digital Twin Network
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy.
Study on Chinese Named Entity Recognition Based on Dynamic Fusion and Adversarial Training
Spatial Semantic Learning for Travel Time Estimation
A Fine-Grained Approach for Vulnerabilities Discovery using Augmented Vulnerability Signatures
PPBR-FL: a Privacy-preserving and Byzantine-robust Federated Learning System
GAN-Based Fusion Adversarial Training
MAST-NER: A Low-Resource Named Entity Recognition Method based on Trigger Pool
Fuzzy information measures feature selection using descriptive statistics data
Prompt-Based Self-Training Framework for Few-Shot Named Entity Recognition
Learning Advisor-Advisee Relationship from Multiplex Network Structure
CorefDRE: Coref-aware Document-level Relation Extraction
Single Pollutant Prediction Approach by Fusing MLSTM and CNN
A Multi-objective Evolutionary Algorithm Based on Multi-layer Network Reduction for Community Detection
Detection DDoS of attacks based on federated learning with Digital Twin Network
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy.