| Adversarial training based multi-source unsupervised domain adaptation for sentiment analysis Y Dai, J Liu, X Ren, Z Xu Proceedings of the AAAI conference on artificial intelligence 34 (05), 7618-7625, 2020 | 27 | 2020 |
| Remote sensing images super-resolution based on sparse dictionaries and residual dictionaries Y Zhang, W Wu, Y Dai, X Yang, B Yan, W Lu 2013 IEEE 11th International Conference on Dependable, Autonomic and Secure …, 2013 | 17 | 2013 |
| Contextualize knowledge bases with transformer for end-to-end task-oriented dialogue systems Y Gou, Y Lei, L Liu, Y Dai, C Shen EMNLP 2021, 2020 | 12 | 2020 |
| Graph fusion network for text classification Y Dai, L Shou, M Gong, X Xia, Z Kang, Z Xu, D Jiang Knowledge-Based Systems 236, 107659, 2022 | 10 | 2022 |
| One model, multiple modalities: A sparsely activated approach for text, sound, image, video and code Y Dai, D Tang, L Liu, M Tan, C Zhou, J Wang, Z Feng, F Zhang, X Hu, ... arXiv preprint arXiv:2205.06126, 2022 | 5 | 2022 |
| Unsupervised sentiment analysis by transferring multi-source knowledge Y Dai, J Liu, J Zhang, H Fu, Z Xu Cognitive Computation 13, 1185-1197, 2021 | 5 | 2021 |
| " Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction Y Dai*, L Li*, C Zhou*, Z Feng, E Zhao, X Qiu, P Li, D Tang Findings of ACL 2022, arXiv preprint arXiv:2203.00286, 2022 | 4 | 2022 |
| A two-stage multi-task learning-based method for selective unsupervised domain adaptation Y Dai, J Zhang, S Yuan, Z Xu 2019 International Conference on Data Mining Workshops (ICDMW), 863-868, 2019 | 4 | 2019 |
| Skillnet-nlu: A sparsely activated model for general-purpose natural language understanding F Zhang, D Tang, Y Dai, C Zhou, S Wu, S Shi arXiv e-prints, arXiv: 2203.03312, 2022 | 3 | 2022 |
| Creating and evaluating resources for sentiment analysis in the low-resource language: Sindhi W Ali, N Ali, Y Dai, J Kumar, S Tumrani, Z Xu Proceedings of the Eleventh Workshop on Computational Approaches To …, 2021 | 3 | 2021 |
| MarkBERT: Marking Word Boundaries Improves Chinese BERT L Li, Y Dai, D Tang, Z Feng, C Zhou, X Qiu, Z Xu, S Shi arXiv preprint arXiv:2203.06378, 2022 | 2 | 2022 |
| Neural Joint Model for Part-of-Speech Tagging and Entity Extraction W Ali, R Kumar, Y Dai, J Kumar, S Tumrani 2021 13th International Conference on Machine Learning and Computing, 239-245, 2021 | 2 | 2021 |
| 一种基于衰减-时延聚类估计的欠定语音盲分离算法 陈林， 夏秀渝， 代勇， 周宁 四川大学学报: 自然科学版, 991-997, 2013 | 2 | 2013 |
| Exploring and Adapting Chinese GPT to Pinyin Input Method M Tan*, Y Dai*, D Tang, Z Feng, G Huang, J Jiang, J Li, S Shi ACL 2022, arXiv preprint arXiv:2203.00249, 2022 | 1 | 2022 |
| 基于时频域的具有延迟的欠定盲分离 代勇， 夏秀渝， 陈林， 叶于林 四川大学学报: 工程科学版, 166-170, 2014 | 1 | 2014 |
| 一种改进的势函数聚类算法 代勇， 夏秀渝， 陈林 电子技术应用 39 (11), 107-110, 2013 | 1 | 2013 |
| Dynamic Mixture of Counter Network for Location-Agnostic Crowd Counting M Wang, H Cai, Y Dai, M Gong Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | | 2023 |
| When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods Z Zhang, Y Yang, Y Dai, L Qu, Z Xu arXiv preprint arXiv:2212.10025, 2022 | | 2022 |
| Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering Y Li, P Wang, Y Wang, Y Dai, Y Wang, L Pan, Z Xu Findings of the Association for Computational Linguistics: EMNLP 2022, 1352-1364, 2022 | | 2022 |
| Pretrained Language Encoders are Natural Tagging Frameworks for Aspect Sentiment Triplet Extraction Y Gou, Y Lei, L Liu, Y Dai, C Shen, Y Tong arXiv preprint arXiv:2208.09617, 2022 | | 2022 |
Zenglin XuHarbin Institute of Technology, Shenzhen & Peng Cheng LabVerified email at hit.edu.cn
