Improved relation classification by deep recurrent neural networks with data augmentation Y Xu, R Jia, L Mou, G Li, Y Chen, Y Lu, Z Jin arXiv preprint arXiv:1601.03651, 2016 | 286 | 2016 |
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 | 144 | 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 arXiv preprint arXiv:2108.06712, 2021 | 79 | 2021 |
TabularNet: A neural network architecture for understanding semantic structures of tabular data L Du, F Gao, X Chen, R Jia, J Wang, J Zhang, S Han, D Zhang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 75 | 2021 |
Fortap: Using formulas for numerical-reasoning-aware table pretraining Z Cheng, H Dong, R Jia, P Wu, S Han, F Cheng, D Zhang arXiv preprint arXiv:2109.07323, 2021 | 31 | 2021 |
Distilling word embeddings: An encoding approach L Mou, R Jia, Y Xu, G Li, L Zhang, Z Jin Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 27 | 2016 |
Text2analysis: A benchmark of table question answering with advanced data analysis and unclear queries X He, M Zhou, X Xu, X Ma, R Ding, L Du, Y Gao, R Jia, X Chen, S Han, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 18206 …, 2024 | 12 | 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 Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 4 | 2023 |
GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network R Jia, H Guo, X Jin, C Yan, L Du, X Ma, T Stankovic, M Lozajic, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 2 | 2023 |
SHEETPT: spreadsheet pre-training based on hierarchical attention network R Jia, Q Li, Z Xu, X Jin, L Du, H Dong, X Lv, S Han, D Zhang Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 12951 …, 2023 | | 2023 |