| Multi-task label embedding for text classification H Zhang, L Xiao, W Chen, Y Wang, Y Jin arXiv preprint arXiv:1710.07210, 2017 | 104 | 2017 |
| A generalized recurrent neural architecture for text classification with multi-task learning H Zhang, L Xiao, Y Wang, Y Jin arXiv preprint arXiv:1707.02892, 2017 | 63 | 2017 |
| Mcapsnet: Capsule network for text with multi-task learning L Xiao, H Zhang, W Chen, Y Wang, Y Jin Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 55 | 2018 |
| Gated multi-task network for text classification L Xiao, H Zhang, W Chen Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 40 | 2018 |
| Diagnosing the first-order logical reasoning ability through logicnli J Tian, Y Li, W Chen, L Xiao, H He, Y Jin Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 34 | 2021 |
| Learning what to share: Leaky multi-task network for text classification L Xiao, H Zhang, W Chen, Y Wang, Y Jin Proceedings of the 27th International Conference on Computational …, 2018 | 26 | 2018 |
| Copy or rewrite: Hybrid summarization with hierarchical reinforcement learning L Xiao, L Wang, H He, Y Jin Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9306-9313, 2020 | 24 | 2020 |
| Transformable Convolutional Neural Network for Text Classification. L Xiao, H Zhang, W Chen, Y Wang, Y Jin IJCAI, 4496-4502, 2018 | 18 | 2018 |
| A semantically consistent and syntactically variational encoder-decoder framework for paraphrase generation W Chen, J Tian, L Xiao, H He, Y Jin Proceedings of the 28th international conference on computational …, 2020 | 17 | 2020 |
| Exploring logically dependent multi-task learning with causal inference W Chen, J Tian, L Xiao, H He, Y Jin Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 16 | 2020 |
| Modeling content importance for summarization with pre-trained language models L Xiao, L Wang, H He, Y Jin Proceedings of the 2020 Conference on empirical methods in natural language …, 2020 | 15 | 2020 |
| Towards reasoning ability in scene text visual question answering Q Wang, L Xiao, Y Lu, Y Jin, H He Proceedings of the 29th ACM International Conference on Multimedia, 2281-2289, 2021 | 14 | 2021 |
| FusionSum: Abstractive summarization with sentence fusion and cooperative reinforcement learning L Xiao, H He, Y Jin Knowledge-Based Systems 243, 108483, 2022 | 11 | 2022 |
| End-to-end conversational search for online shopping with utterance transfer L Xiao, J Ma, XL Dong, P Martinez-Gomez, N Zalmout, W Chen, T Zhao, ... arXiv preprint arXiv:2109.05460, 2021 | 10 | 2021 |
| Weakly supervised neural symbolic learning for cognitive tasks J Tian, Y Li, W Chen, L Xiao, H He, Y Jin Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5888-5896, 2022 | 9 | 2022 |
| Fashion pose machine for fashion landmark detection Y Hu, L Xiao, Y Wang, Y Jin 2018 International Conference on Image and Video Processing, and Artificial …, 2018 | 7 | 2018 |
| Generative Warfare Nets: Ensemble via Adversaries and Collaborators. H Zhang, L Xiao, W Chen, Y Wang, Y Jin IJCAI, 3075-3081, 2018 | 3 | 2018 |
| CALM: commen-sense knowledge augmentation for document image understanding Q Du, Q Wang, K Li, J Tian, L Xiao, Y Jin Proceedings of the 30th ACM International Conference on Multimedia, 3282-3290, 2022 | 2 | 2022 |
