| MoverScore: Text generation evaluating with contextualized embeddings and earth mover distance W Zhao, M Peyrard, F Liu, Y Gao, CM Meyer, S Eger arXiv preprint arXiv:1909.02622, 2019 | 596 | 2019 |
| Internlm-xcomposer2: Mastering free-form text-image composition and comprehension in vision-language large model X Dong, P Zhang, Y Zang, Y Cao, B Wang, L Ouyang, X Wei, S Zhang, ... arXiv preprint arXiv:2401.16420, 2024 | 128 | 2024 |
| Better rewards yield better summaries: Learning to summarise without references F Böhm, Y Gao, CM Meyer, O Shapira, I Dagan, I Gurevych arXiv preprint arXiv:1909.01214, 2019 | 120 | 2019 |
| Pattern-based topics for document modelling in information filtering Y Gao, Y Xu, Y Li IEEE Transactions on Knowledge and Data Engineering 27 (6), 1629-1642, 2014 | 93 | 2014 |
| Task-oriented word embedding for text classification Q Liu, HY Huang, Y Gao, X Wei, Y Tian, L Liu Proceedings of the 27th international conference on computational …, 2018 | 64 | 2018 |
| Cross-lingual abstractive summarization with limited parallel resources Y Bai, Y Gao, H Huang arXiv preprint arXiv:2105.13648, 2021 | 60 | 2021 |
| Internlm-xcomposer2-4khd: A pioneering large vision-language model handling resolutions from 336 pixels to 4k hd X Dong, P Zhang, Y Zang, Y Cao, B Wang, L Ouyang, S Zhang, H Duan, ... arXiv preprint arXiv:2404.06512, 2024 | 56 | 2024 |
| Concept pointer network for abstractive summarization W Wenbo, G Yang, H Heyan, Z Yuxiang arXiv preprint arXiv:1910.08486, 2019 | 43 | 2019 |
| Neural variational correlated topic modeling L Liu, H Huang, Y Gao, Y Zhang, X Wei The World Wide Web Conference, 1142-1152, 2019 | 40 | 2019 |
| To be closer: Learning to link up aspects with opinions Y Zhou, L Liao, Y Gao, Z Jie, W Lu arXiv preprint arXiv:2109.08382, 2021 | 37 | 2021 |
| TopicBERT: A topic-enhanced neural language model fine-tuned for sentiment classification Y Zhou, L Liao, Y Gao, R Wang, H Huang IEEE Transactions on Neural Networks and Learning Systems 34 (1), 380-393, 2021 | 37 | 2021 |
| A two-stage approach for generating topic models Y Gao, Y Xu, Y Li, B Liu Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia …, 2013 | 31 | 2013 |
| Jointly learning topics in sentence embedding for document summarization Y Gao, Y Xu, H Huang, Q Liu, L Wei, L Liu IEEE Transactions on Knowledge and Data Engineering 32 (4), 688-699, 2019 | 29 | 2019 |
| Semantic structure-based word embedding by incorporating concept convergence and word divergence Q Liu, H Huang, G Zhang, Y Gao, J Xuan, J Lu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 28 | 2018 |
| Pattern-based topic models for information filtering Y Gao, Y Xu, Y Li 2013 IEEE 13th International Conference on Data Mining Workshops, 921-928, 2013 | 28 | 2013 |
| Exploring explainable selection to control abstractive summarization H Wang, Y Gao, Y Bai, M Lapata, H Huang Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13933 …, 2021 | 25 | 2021 |
| Enhanced word embedding similarity measures using fuzzy rules for query expansion Q Liu, H Huang, J Lut, Y Gao, G Zhang 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017 | 24 | 2017 |
| A Fuzzy Word Similarity Measure for Selecting Top- Similar Words in Query Expansion Q Liu, H Huang, J Xuan, G Zhang, Y Gao, J Lu IEEE Transactions on Fuzzy Systems 29 (8), 2132-2144, 2020 | 21 | 2020 |
| Psp: Pre-trained soft prompts for few-shot abstractive summarization X Liu, Y Gao, Y Bai, J Li, Y Hu, H Huang, B Chen arXiv preprint arXiv:2204.04413, 2022 | 20 | 2022 |
| Neural abstractive summarization fusing by global generative topics Y Gao, Y Wang, L Liu, Y Guo, H Huang Neural Computing and Applications 32 (9), 5049-5058, 2020 | 19 | 2020 |
Professor Yuefeng LiQueensland university of technologyVerified email at qut.edu.au
