| TUTA: Tree-based Transformers for Generally Structured Table Pre-training Z Wang, H Dong, R Jia, J Li, Z Fu, S Han, D Zhang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 163 | 2021 |
| Hitab: A hierarchical table dataset for question answering and natural language generation Z Cheng, H Dong, Z Wang, R Jia, J Guo, Y Gao, S Han, JG Lou, D Zhang ACL 2022 main track, 2021 | 93 | 2021 |
| Table Pretraining: A Survey on Model Architectures, Pretraining Objectives, and Downstream Tasks H Dong, Z Cheng, X He, M Zhou, A Zhou, F Zhou, A Liu, S Han, D Zhang IJCAI'2022 survey track, 2022 | 64 | 2022 |
| Tablesense: Spreadsheet table detection with convolutional neural networks H Dong, S Liu, S Han, Z Fu, D Zhang Proceedings of the AAAI conference on artificial intelligence 33 (01), 69-76, 2019 | 62 | 2019 |
| Semantic structure extraction for spreadsheet tables with a multi-task learning architecture H Dong, S Liu, Z Fu, S Han, D Zhang Workshop on Document Intelligence at NeurIPS 2019, 2019 | 34 | 2019 |
| FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining Z Cheng, H Dong, F Cheng, R Jia, P Wu, S Han, D Zhang ACL 2022 main track, 2021 | 32 | 2021 |
| Visualization assessment: A machine learning approach X Fu, Y Wang, H Dong, W Cui, H Zhang 2019 IEEE Visualization Conference (VIS), 126-130, 2019 | 32 | 2019 |
| PLOG: Table-to-logic pretraining for logical table-to-text generation A Liu, H Dong, N Okazaki, S Han, D Zhang EMNLP main track, 2022 | 28 | 2022 |
| Tacube: Pre-computing data cubes for answering numerical-reasoning questions over tabular data F Zhou, M Hu, H Dong, Z Cheng, S Han, D Zhang EMNLP main track oral, 2022 | 25 | 2022 |
| Large language models for tabular data: Progresses and future directions H Dong, Z Wang SIGIR Tutorial https://llm4table-tutorial.github.io, 2997-3000, 2024 | 13 | 2024 |
| Semantic table structure identification in spreadsheets Y Zhang, X Lv, H Dong, W Dou, S Han, D Zhang, J Wei, D Ye Proceedings of the 30th ACM SIGSOFT International Symposium on Software …, 2021 | 11 | 2021 |
| Unsupervised dictionary learning with fisher discriminant for clustering M Xu, H Dong, C Chen, L Li Neurocomputing 194, 65-73, 2016 | 10 | 2016 |
| Auto-formatting of a data table H Dong, FU Zhouyu, S Han, D Zhang US Patent App. 17/291,818, 2022 | 8 | 2022 |
| NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries W Zhao, Z Hou, S Wu, Y Gao, H Dong, Y Wan, H Zhang, Y Sui, H Zhang EACL 2024, 2024 | 7 | 2024 |
| Spreadsheetllm: Encoding spreadsheets for large language models Y Tian, J Zhao, H Dong, J Xiong, S Xia, M Zhou, Y Lin, J Cambronero, ... EMNLP'2024 Main Track, 2024 | 5 | 2024 |
| HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion W He, H Dong, Y Gao, Z Fan, X Guo, Z Hou, X Lv, R Jia, S Han, D Zhang ACL 2023 Main Track, 8356-8372, 2023 | 5 | 2023 |
| Reflection of thought: Inversely eliciting numerical reasoning in language models via solving linear systems F Zhou, H Dong, Q Liu, Z Cheng, S Han, D Zhang arXiv preprint arXiv:2210.05075, 2022 | 5 | 2022 |
| Table detection in spreadsheet D Haoyu, H Shi, F Zhouyu, Z Dongmei US Patent App. 17/057,097, 2021 | 5* | 2021 |
| Neural Formatting for Spreadsheet Tables H Dong, J Wang, Z Fu, S Han, D Zhang CIKM'2020 (among five best paper nominees in full research track), 305-314, 2020 | 5 | 2020 |
| Learning formatting style transfer and structure extraction for spreadsheet tables with a hybrid neural network architecture H Dong, J Yang, S Han, D Zhang Proceedings of the 29th ACM International Conference on Information …, 2020 | 5 | 2020 |
Dongmei ZhangMicrosoft ResearchZweryfikowany adres z microsoft.com