| Deep learning for extreme multi-label text classification J Liu, WC Chang, Y Wu, Y Yang Proceedings of the 40th international ACM SIGIR conference on research and …, 2017 | 806 | 2017 |
| Visualizing large-scale and high-dimensional data J Tang, J Liu, M Zhang, Q Mei Proceedings of the 25th international conference on world wide web, 287-297, 2016 | 514 | 2016 |
| Stack-pointer networks for dependency parsing X Ma arXiv preprint arXiv:1805.01087, 2018 | 211 | 2018 |
| Distilling knowledge learned in BERT for text generation YC Chen, Z Gan, Y Cheng, J Liu, J Liu arXiv preprint arXiv:1911.03829, 2019 | 145 | 2019 |
| Violin: A large-scale dataset for video-and-language inference J Liu, W Chen, Y Cheng, Z Gan, L Yu, Y Yang, J Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 73 | 2020 |
| Unsupervised extractive text summarization with distance-augmented sentence graphs J Liu, DJD Hughes, Y Yang Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 33 | 2021 |
| Distilling the knowledge of bert for text generation YC Chen, Z Gan, Y Cheng, J Liu, J Liu | 31 | 2019 |
| Softmax q-distribution estimation for structured prediction: A theoretical interpretation for raml X Ma, P Yin, J Liu, G Neubig, E Hovy arXiv preprint arXiv:1705.07136, 2017 | 19 | 2017 |
| Coffee: Counterfactual fairness for personalized text generation in explainable recommendation N Wang, Q Wang, YC Wang, M Sanjabi, J Liu, H Firooz, H Wang, S Nie arXiv preprint arXiv:2210.15500, 2022 | 5 | 2022 |
| Enhancing summarization with text classification via topic consistency J Liu, Y Yang Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 4 | 2021 |
