Jie Liu

Orcid: 0000-0001-5321-0501

Affiliations:
  • University of Chinese Academy of Sciences (UCAS), School of Cyber Security, Beijing, China
  • Chinese Academy of Sciences (CAS), Institute of Information Engineering, Beijing, China


According to our database1, Jie Liu authored at least 15 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Multi-granularity cross-modal representation learning for named entity recognition on social media.
Inf. Process. Manag., January, 2024

Lexicon Graph Adapter Based BERT Model for Chinese Named Entity Recognition.
Proceedings of the Knowledge Science, Engineering and Management, 2024

A Relation-Aware Heterogeneous Graph Transformer on Dynamic Fusion for Multimodal Classification Tasks.
Proceedings of the IEEE International Conference on Acoustics, 2024

Hierarchical Aligned Multimodal Learning for NER on Tweet Posts.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Owner name entity recognition in websites based on heterogeneous and dynamic graph transformer.
Knowl. Inf. Syst., October, 2023

Owner name entity recognition in websites based on multiscale features and multimodal co-attention.
Expert Syst. Appl., August, 2023

Multiview Embedding with Partial Labels to Recognize Users of Devices Based on Unified Transformer.
Int. J. Intell. Syst., 2023

A Novel Framework for Multimodal Named Entity Recognition with Multi-level Alignments.
CoRR, 2023

CL-GAN: A GAN-based continual learning model for generating and detecting AGDs.
Comput. Secur., 2023

CEntRE: A paragraph-level Chinese dataset for Relation Extraction among Enterprises.
Proceedings of the International Joint Conference on Neural Networks, 2023

Improving the Modality Representation with multi-view Contrastive Learning for Multimodal Sentiment Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2023

ip2text: A Reasoning-Aware Dataset for Text Generation of Devices on the Internet.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2023 International Workshops, 2023

2022
Discover the ICS Landmarks Based on Multi-stage Clue Mining.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

Multi-features based Semantic Augmentation Networks for Named Entity Recognition in Threat Intelligence.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2020
XLBoost-Geo: An IP Geolocation System Based on Extreme Landmark Boosting.
CoRR, 2020


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