Yaqiang Wu
Orcid: 0000-0001-8830-8250
According to our database1,
Yaqiang Wu
authored at least 22 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Pattern Recognit. Lett., August, 2023
IEEE Trans. Circuits Syst. Video Technol., July, 2023
IEEE Trans. Knowl. Data Eng., June, 2023
Side-by-Side vs Face-to-Face: Evaluating Colocated Collaboration via a Transparent Wall-sized Display.
Proc. ACM Hum. Comput. Interact., April, 2023
Knowl. Inf. Syst., February, 2023
Side-by-Side vs Face-to-Face: Evaluating Colocated Collaboration via a Transparent Wall-sized Display.
CoRR, 2023
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Circuits Syst. Video Technol., 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
MatchPrompt: Prompt-based Open Relation Extraction with Semantic Consistency Guided Clustering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021
Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
A Fast and Accurate Fully Convolutional Network for End-to-End Handwritten Chinese Text Segmentation and Recognition.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019