Yuanfei Dai

Orcid: 0000-0002-1703-1538

According to our database1, Yuanfei Dai authored at least 21 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Integrating Historical Rules and Curriculum-Enhanced Embeddings for Temporal Knowledge Graph Forecasting.
IEEE Trans. Comput. Soc. Syst., June, 2026

Enhancing Low-Resource Joint Entity and Relation Extraction Using Large Language Models within Semi-Supervised Learning.
ACM Trans. Knowl. Discov. Data, April, 2026

LLM-Augmented Contrastive Learning for Misinformation Detection in Social Networks.
IEEE Trans. Comput. Soc. Syst., February, 2026

Taking Astray Domain Back Home for Single-Source Domain Generalizable Text-to-Image Person Retrieval.
IEEE Trans. Image Process., 2026

A curriculum-guided semi-supervised learning framework for joint entity and relation extraction.
Knowl. Based Syst., 2026

Split-Federated BERT With Adversarial Training for Edge Intrusion Detection.
IEEE Internet Things J., 2026

2024
Wasserstein adversarial learning based temporal knowledge graph embedding.
Inf. Sci., February, 2024

Pre-trained language model-enhanced conditional generative adversarial networks for intrusion detection.
Peer Peer Netw. Appl., January, 2024

Distantly Supervised Biomedical Relation Extraction via Negative Learning and Noisy Student Self-Training.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Distilling Knowledge Based on Curriculum Learning for Temporal Knowledge Graph Embeddings.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Semi-supervised Entity Alignment via Noisy Student-Based Self Training.
Proceedings of the Knowledge Science, Engineering and Management, 2023

2022
Graph neural networks in node classification: survey and evaluation.
Mach. Vis. Appl., 2022

2021
Drug-drug interaction prediction with Wasserstein Adversarial Autoencoder-based knowledge graph embeddings.
Briefings Bioinform., 2021

2020
Deep clustering by maximizing mutual information in variational auto-encoder.
Knowl. Based Syst., 2020

Social image refinement and annotation via weakly-supervised variational auto-encoder.
Knowl. Based Syst., 2020

Generative adversarial networks based on Wasserstein distance for knowledge graph embeddings.
Knowl. Based Syst., 2020

Wasserstein Adversarial Autoencoders for Knowledge Graph Embedding based Drug-Drug Interaction Prediction.
CoRR, 2020

2019
Stacked Autoencoder Based Weak Supervision for Social Image Understanding.
IEEE Access, 2019

2018
Relation Classification via LSTMs Based on Sequence and Tree Structure.
IEEE Access, 2018

Distributed Representation Learning of Knowledge Graph with Diverse Information.
Proceedings of the 9th International Symposium on Parallel Architectures, 2018

Syntactic and Semantic Features Based Relation Extraction in Agriculture Domain.
Proceedings of the Web Information Systems and Applications, 2018


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