| A survey of multilingual neural machine translation R Dabre, C Chu, A Kunchukuttan ACM Computing Surveys (CSUR) 53 (5), 1-38, 2020 | 390 | 2020 |
| A survey of domain adaptation for neural machine translation C Chu, R Wang COLING 2018, 1304-1319, 2018 | 349* | 2018 |
| An empirical comparison of domain adaptation methods for neural machine translation C Chu, R Dabre, S Kurohashi Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 244 | 2017 |
| Mm-llms: Recent advances in multimodal large language models D Zhang, Y Yu, J Dong, C Li, D Su, C Chu, D Yu arXiv preprint arXiv:2401.13601, 2024 | 241 | 2024 |
| Overview of the 8th workshop on Asian translation T Nakazawa, H Nakayama, C Ding, R Dabre, S Higashiyama, H Mino, ... Proceedings of the 8th Workshop on Asian Translation, Bangkok, Thailand …, 2021 | 193 | 2021 |
| Bert representations for video question answering Z Yang, N Garcia, C Chu, M Otani, Y Nakashima, H Takemura Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 132 | 2020 |
| KnowIT VQA: Answering knowledge-based questions about videos N Garcia, M Otani, C Chu, Y Nakashima Proceedings of the AAAI conference on artificial intelligence 34 (07), 10826 …, 2020 | 99 | 2020 |
| An empirical comparison of simple domain adaptation methods for neural machine translation C Chu, R Dabre, S Kurohashi arXiv preprint arXiv:1701.03214, 2017 | 74 | 2017 |
| Exploiting multilingualism through multistage fine-tuning for low-resource neural machine translation R Dabre, A Fujita, C Chu Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 72 | 2019 |
| A dataset and baselines for visual question answering on art N Garcia, C Ye, Z Liu, Q Hu, M Otani, C Chu, Y Nakashima, T Mitamura Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 66 | 2020 |
| WRIME: A new dataset for emotional intensity estimation with subjective and objective annotations T Kajiwara, C Chu, N Takemura, Y Nakashima, H Nagahara Proceedings of the 2021 conference of the North American chapter of the …, 2021 | 56 | 2021 |
| Understanding the role of scene graphs in visual question answering V Damodaran, S Chakravarthy, A Kumar, A Umapathy, T Mitamura, ... arXiv preprint arXiv:2101.05479, 2021 | 38 | 2021 |
| Kyoto university participation to WAT 2016 F Cromieres, C Chu, T Nakazawa, S Kurohashi Proceedings of the 3rd Workshop on Asian Translation (WAT2016), 166-174, 2016 | 38 | 2016 |
| Chinese Characters Mapping Table of Japanese, Traditional Chinese and Simplified Chinese. C Chu, T Nakazawa, S Kurohashi LREC, 2149-2152, 2012 | 37 | 2012 |
| Region-attentive multimodal neural machine translation Y Zhao, M Komachi, T Kajiwara, C Chu Neurocomputing 476, 1-13, 2022 | 34 | 2022 |
| Overview of the 10th workshop on Asian translation T Nakazawa, K Kinugawa, H Mino, I Goto, R Dabre, S Higashiyama, ... Proceedings of the 10th Workshop on Asian Translation, 1-28, 2023 | 32 | 2023 |
| GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph CBE Vaigh, N Garcia, B Renoust, C Chu, Y Nakashima, H Nagahara Proceedings of the ACM International Conference on Multimedia Retrieval 2021 …, 2021 | 30 | 2021 |
| Constructing a Chinese―Japanese Parallel Corpus from Wikipedia. C Chu, T Nakazawa, S Kurohashi LREC, 642-647, 2014 | 29 | 2014 |
| Integrated parallel sentence and fragment extraction from comparable corpora: A case study on Chinese--Japanese Wikipedia C Chu, T Nakazawa, S Kurohashi ACM Transactions on Asian and Low-Resource Language Information Processing …, 2015 | 28 | 2015 |
| Fusion of self-supervised learned models for MOS prediction Z Yang, W Zhou, C Chu, S Li, R Dabre, R Rubino, Y Zhao arXiv preprint arXiv:2204.04855, 2022 | 27 | 2022 |
Sadao KurohashiKyoto UniversityVerified email at i.kyoto-u.ac.jp
