Binling Nie

According to our database1, Binling Nie authored at least 14 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Know-Adapter: Towards Knowledge-Aware Parameter-Efficient Transfer Learning for Few-shot Named Entity Recognition.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Dynamic graph transformer for 3D object detection.
Knowl. Based Syst., 2023

Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification.
CoRR, 2023

Star-Net: Improving Single Image Desnowing Model With More Efficient Connection and Diverse Feature Interaction.
CoRR, 2023

POSTER V2: A simpler and stronger facial expression recognition network.
CoRR, 2023

2022
Masked autoencoders are effective solution to transformer data-hungry.
CoRR, 2022

SoMoFormer: Social-Aware Motion Transformer for Multi-Person Motion Prediction.
CoRR, 2022

2021
KA-NER: Knowledge Augmented Named Entity Recognition.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021

Knowledge-aware Named Entity Recognition with Alleviating Heterogeneity.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019
Knowledge graph embedding via reasoning over entities, relations, and text.
Future Gener. Comput. Syst., 2019

An End-to-End Structure Aware Graph Convolutional Network for Modeling Multi-relational Data.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Context-Dependent Representation of Knowledge Graphs.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019

2018
Joint Knowledge Base Embedding with Neighborhood Context.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
End-to-end learning of deep convolutional neural network for 3D human action recognition.
Proceedings of the 2017 IEEE International Conference on Multimedia & Expo Workshops, 2017


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