Xuwu Wang

Orcid: 0000-0003-3363-570X

According to our database1, Xuwu Wang authored at least 13 papers between 2019 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
Multi-Modal Knowledge Graph Construction and Application: A Survey.
IEEE Trans. Knowl. Data Eng., February, 2024

An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing.
CoRR, 2024

Flickr30K-CFQ: A Compact and Fragmented Query Dataset for Text-image Retrieval.
CoRR, 2024

OVEL: Large Language Model as Memory Manager for Online Video Entity Linking.
CoRR, 2024

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.
CoRR, 2024

2023
Multi-task entity linking with supervision from a taxonomy.
Knowl. Inf. Syst., October, 2023

AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained Models.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022
CAT-MNER: Multimodal Named Entity Recognition with Knowledge-Refined Cross-Modal Attention.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

PromptMNER: Prompt-Based Entity-Related Visual Clue Extraction and Integration for Multimodal Named Entity Recognition.
Proceedings of the Database Systems for Advanced Applications, 2022

Utilizing Expert Knowledge and Contextual Information for Sample-Limited Causal Graph Construction.
Proceedings of the Database Systems for Advanced Applications, 2022

Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2019
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019


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