Yuanfei Dai
Orcid: 0000-0002-1703-1538
According to our database1,
Yuanfei Dai authored at least 21 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
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
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
IEEE Internet Things J., 2026
2024
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
Proceedings of the Knowledge Science, Engineering and Management, 2023
2022
Mach. Vis. Appl., 2022
2021
Drug-drug interaction prediction with Wasserstein Adversarial Autoencoder-based knowledge graph embeddings.
Briefings Bioinform., 2021
2020
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
IEEE Access, 2019
2018
IEEE Access, 2018
Proceedings of the 9th International Symposium on Parallel Architectures, 2018
Proceedings of the Web Information Systems and Applications, 2018