Di Zhao
Orcid: 0000-0002-0876-5126Affiliations:
- Dalian University of Technology, Dalian, China
According to our database1,
Di Zhao authored at least 34 papers
between 2019 and 2026.
Collaborative distances:
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Bibliography
2026
LLMs enhanced graph convolutional broad sparse fusion networks for text classification.
Int. J. Mach. Learn. Cybern., May, 2026
Artif. Intell. Medicine, 2026
A Multi-Agent LLM Framework for Multi-Domain Low-Resource In-Context NER via Knowledge Retrieval, Disambiguation and Reflective Analysis.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Knowl. Inf. Syst., September, 2025
Neural Comput. Appl., March, 2025
Exploring biomedical relation extraction by combining natural language inference and dual dependency trees.
Expert Syst. Appl., 2025
SyRACT: zero-shot biomedical document-level relation extraction with synergistic RAG and CoT.
Bioinform., 2025
Few-shot biomedical NER empowered by LLMs-assisted data augmentation and multi-scale feature extraction.
BioData Min., 2025
LCDL: Classification of ICD codes based on disease label co-occurrence dependency and LongFormer with medical knowledge.
Artif. Intell. Medicine, 2025
Proceedings of the International Joint Conference on Neural Networks, 2025
SAVe-Vis: An End-to-End Multimodal Framework for Schema-Aware and Self-Validating Data Visualization Generation.
Proceedings of the IEEE International Conference on Big Data, 2025
Bio-R<sup>3</sup>: Entity Aware and Domain Adaptive Enhanced Framework for Biomedical Document Level Relation Extraction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
Integrating graph convolutional networks to enhance prompt learning for biomedical relation extraction.
J. Biomed. Informatics, 2024
Few-shot biomedical relation extraction using data augmentation and domain information.
Neurocomputing, 2024
Proceedings of the Chinese Computational Linguistics - 23rd China National Conference, 2024
Few-shot Biomedical NER via Multi-task Learning and More Fine-grained Grid-tagging Strategy.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Transferring variational autoencoders with coarse-and-fine alignment for open set broad classification.
Int. J. Mach. Learn. Cybern., October, 2023
J. Comput. Biol., September, 2023
J. Biomed. Informatics, September, 2023
Few-shot biomedical named entity recognition via knowledge-guided instance generation and prompt contrastive learning.
Bioinform., August, 2023
J. Biomed. Informatics, April, 2023
Proceedings of the 2023 7th International Conference on Innovation in Artificial Intelligence, 2023
2022
A Scalable Embedding Based Neural Network Method for Discovering Knowledge From Biomedical Literature.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
BMC Bioinform., 2022
Syntactic Type-aware Graph Attention Network for Drug-drug Interactions and their Adverse Effects Extraction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Knowl. Based Syst., 2021
Neurocomputing, 2021
Biomedical cross-sentence relation extraction via multihead attention and graph convolutional networks.
Appl. Soft Comput., 2021
Auto-learning Convolution-Based Graph Convolutional Network for Medical Relation Extraction.
Proceedings of the Information Retrieval - 27th China Conference, 2021
Co-Attentive Span Network with Multi-task learning for Biomedical Named Entity Recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Incorporating representation learning and multihead attention to improve biomedical cross-sentence n-ary relation extraction.
BMC Bioinform., 2020
2019
Relation path feature embedding based convolutional neural network method for drug discovery.
BMC Medical Informatics Decis. Mak., 2019
Extracting drug-drug interactions with hybrid bidirectional gated recurrent unit and graph convolutional network.
J. Biomed. Informatics, 2019