Haoyu Dong

Orcid: 0000-0003-0692-2228

Affiliations:
  • Microsoft Research, China


According to our database1, Haoyu Dong authored at least 20 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

Online presence:

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Bibliography

2024
NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries.
CoRR, 2024

TTC-QuAli: A Text-Table-Chart Dataset for Multimodal Quantity Alignment.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

SheetPT: Spreadsheet Pre-training Based on Hierarchical Attention Network.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Reflection of Thought: Inversely Eliciting Numerical Reasoning in Language Models via Solving Linear Systems.
CoRR, 2022

TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data.
CoRR, 2022

Table Pre-training: A Survey on Model Architectures, Pretraining Objectives, and Downstream Tasks.
CoRR, 2022

Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining.
CoRR, 2021

TUTA: Tree-based Transformers for Generally Structured Table Pre-training.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Semantic table structure identification in spreadsheets.
Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021

2020
Structure-aware Pre-training for Table Understanding with Tree-based Transformers.
CoRR, 2020

Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Neural Formatting for Spreadsheet Tables.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Visualization Assessment: A Machine Learning Approach.
Proceedings of the 30th IEEE Visualization Conference, 2019

TableSense: Spreadsheet Table Detection with Convolutional Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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