Huijun Liu
Orcid: 0000-0003-0252-6973Affiliations:
- National University of Defense Technology, College of Computer, Changsha, China
- China Academy of Engineering Physics, Institute of Computer Applications, Mianyang, China (former)
According to our database1,
Huijun Liu
authored at least 20 papers
between 2020 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on scopus.com
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on orcid.org
On csauthors.net:
Bibliography
2024
A More Context-Aware Approach for Textual Adversarial Attacks Using Probability Difference-Guided Beam Search.
IEEE Trans. Knowl. Data Eng., June, 2024
Span-based joint entity and relation extraction augmented with sequence tagging mechanism.
Sci. China Inf. Sci., 2024
Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
QAE: A Hard-Label Textual Attack Considering the Comprehensive Quality of Adversarial Examples.
Proceedings of the Natural Language Processing and Chinese Computing, 2023
Proceedings of the 6th International Conference on Machine Learning and Natural Language Processing, 2023
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023
2022
Int. J. Intell. Syst., December, 2022
Sensors, 2022
Knowl. Based Syst., 2022
A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search.
CoRR, 2022
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes.
CoRR, 2022
CoRR, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism.
CoRR, 2021
2020
Research on Chinese medical named entity recognition based on collaborative cooperation of multiple neural network models.
J. Biomed. Informatics, 2020
Span-based Joint Entity and Relation Extraction with Attention-based Span-specific and Contextual Semantic Representations.
Proceedings of the 28th International Conference on Computational Linguistics, 2020