Yihao Ding

Orcid: 0000-0001-5065-6911

According to our database1, Yihao Ding authored at least 16 papers between 2022 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Graph neural networks for text classification: a survey.
Artif. Intell. Rev., August, 2024

DAViD: Domain Adaptive Visually-Rich Document Understanding with Synthetic Insights.
CoRR, 2024

Deep Learning based Visually Rich Document Content Understanding: A Survey.
CoRR, 2024

PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering.
CoRR, 2024

M3-VRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding.
CoRR, 2024

MMVQA: A Comprehensive Dataset for Investigating Multipage Multimodal Information Retrieval in PDF-based Visual Question Answering.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

The Language Model Can Have the Personality: Joint Learning for Personality Enhanced Language Model (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
DDI-MuG: Multi-aspect graphs for drug-drug interaction extraction.
Frontiers Digit. Health, March, 2023

PDFVQA: A New Dataset for Real-World VQA on PDF Documents.
CoRR, 2023

Form-NLU: Dataset for the Form Language Understanding.
CoRR, 2023

Form-NLU: Dataset for the Form Natural Language Understanding.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

PDF-VQA: A New Dataset for Real-World VQA on PDF Documents.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Workshop on Document Intelligence Understanding.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
V-Doc : Visual questions answers with Documents.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022


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