Feiyang Ye

Orcid: 0009-0001-3368-1514

Affiliations:
  • Fuzhou University, Fuzhou, China


According to our database1, Feiyang Ye authored at least 12 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Entity injection with contrastive learning encoder for Chinese few-shot natural language inference.
Appl. Intell., February, 2026

SAS-bench: A fine-grained benchmark for evaluating short answer scoring with large language models.
Neural Networks, 2026

Feature space variation-based active learning sample query strategy for graph deep learning.
Expert Syst. Appl., 2026

2025
Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations.
CoRR, January, 2025

FE-CFNER: Feature Enhancement-based approach for Chinese Few-shot Named Entity Recognition.
Comput. Speech Lang., 2025

Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
M-Sim: Multi-level Semantic Inference Model for Chinese short answer scoring in low-resource scenarios.
Comput. Speech Lang., March, 2024

CogNLG: Cognitive graph for KG-to-text generation.
Expert Syst. J. Knowl. Eng., January, 2024

Span-Based Chinese Few-Shot NER with Contrastive and Prompt Learning.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

NCSE: Neighbor Contrastive Learning for Unsupervised Sentence Embeddings.
Proceedings of the International Joint Conference on Neural Networks, 2024

2022
Chinese Medical Named Entity Recognition Using External Knowledge.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

PCBERT: Parent and Child BERT for Chinese Few-shot NER.
Proceedings of the 29th International Conference on Computational Linguistics, 2022


  Loading...