| Local Interpretations for Explainable Natural Language Processing: A Survey S Luo, H Ivison, C Han, J Poon ACM Computing Survey, 2024 | 28 | 2024 |
| PDFVQA: A New Dataset for Real-World VQA on PDF Documents Y Ding, S Luo, H Chung, SC Han ECML PKDD 2023, 2023 | 11* | 2023 |
| VICTR: Visual Information Captured Text Representation for Text-to-Vision Multimodal Tasks C Han, S Long, S Luo, K Wang, J Poon COLING 2020 (Best Area Paper Award), 3107-3117, 2020 | 11* | 2020 |
| Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis S Luo, Y Ding, S Long, SC Han, J Poon COLING 2022, 2022 | 7 | 2022 |
| SceneGATE: Scene-Graph based co-Attention networks for TExt visual question answering F Cao, S Luo, F Nunez, Z Wen, J Poon, SC Han Robotics 12 (4), 114, 2023 | 5 | 2023 |
| REXUP: I REason, I EXtract, I UPdate with Structured Compositional Reasoning for Visual Question Answering S Luo, SC Han, K Sun, J Poon ICONIP 2020 (Best Paper Award), 520-532, 2020 | 5 | 2020 |
| MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering Y Ding, K Ren, J Huang, S Luo, SC Han arXiv preprint arXiv:2404.12720, 2024 | | 2024 |
| Workshop on Document Intelligence Understanding SC Han, Y Ding, S Luo, J Poon, HG Yoon, Z Huang, P Duuring, ... CIKM 2023, 2023 | | 2023 |
| PiggyBack: Pretrained Visual Question Answering Environment for Backing up Non-deep Learning Professionals Z Zhang, S Luo, J Chen, S Lai, S Long, H Chung, SC Han WSDM 2023, 1152-1155, 2023 | | 2023 |
| Towards Multi-modal Interpretation and Explanation S Luo | | 2023 |
| VICTR: Visual Information Captured Text Representation for Text-to-Image Multimodal Tasks S Caren Han, S Long, S Luo, K Wang, J Poon arXiv e-prints, arXiv: 2010.03182, 2020 | | 2020 |
Soyeon Caren HanUniversity of Melbourne, University of Sydney, University of Western AustraliaE-mail confirmado em unimelb.edu.au
