| Deep Unknown Intent Detection with Margin Loss TE Lin, H Xu Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 146 | 2019 |
| Deep open intent classification with adaptive decision boundary H Zhang, H Xu, TE Lin Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14374 …, 2021 | 94 | 2021 |
| Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement TE Lin, H Xu, H Zhang The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020 | 89 | 2020 |
| Discovering new intents with deep aligned clustering H Zhang, H Xu, TE Lin, R Lyu Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14365 …, 2021 | 82 | 2021 |
| UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition G Hu, TE Lin, Y Zhao, G Lu, Y Wu, Y Li Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 61 | 2022 |
| A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier TE Lin, H Xu Knowledge-Based Systems 186, 104979, 2019 | 41 | 2019 |
| Automated machine learning for Internet of Things CM Chung, CC Chen, WP Shih, TE Lin, RJ Yeh, I Wang 2017 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW …, 2017 | 25 | 2017 |
| Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems TE Lin, Y Wu, F Huang, L Si, J Sun, Y Li Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 12 | 2022 |
| Spokenwoz: A large-scale speech-text benchmark for spoken task-oriented dialogue agents S Si, W Ma, H Gao, Y Wu, TE Lin, Y Dai, H Li, R Yan, F Huang, Y Li Advances in Neural Information Processing Systems 36, 2024 | 11* | 2024 |
| Empathetic response generation via emotion cause transition graph Y Qian, B Wang, TE Lin, Y Zheng, Y Zhu, D Zhao, Y Hou, Y Wu, Y Li ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 10 | 2023 |
| Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning H Gao, R Wang, TE Lin, Y Wu, M Yang, F Huang, Y Li Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 8* | 2023 |
| Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment T Yu, H Gao, TE Lin, M Yang, Y Wu, W Ma, C Wang, F Huang, Y Li Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 5* | 2023 |
| Multi-View Active Fine-Grained Visual Recognition R Du, W Yu, H Wang, TE Lin, D Chang, Z Ma Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5* | 2023 |
| Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use Y Chen, A Lv, TE Lin, C Chen, Y Wu, F Huang, Y Li, R Yan arXiv preprint arXiv:2312.04455, 2023 | 4 | 2023 |
| Unisa: Unified generative framework for sentiment analysis Z Li, TE Lin, Y Wu, M Liu, F Tang, M Zhao, Y Li Proceedings of the 31st ACM International Conference on Multimedia, 6132-6142, 2023 | 3 | 2023 |
| Constructive large language models alignment with diverse feedback T Yu, TE Lin, Y Wu, M Yang, F Huang, Y Li arXiv preprint arXiv:2310.06450, 2023 | 3 | 2023 |
| Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models C Chen, X Wang, TE Lin, A Lv, Y Wu, X Gao, JR Wen, R Yan, Y Li arXiv preprint arXiv:2403.02178, 2024 | 1 | 2024 |
| Self-explanation prompting improves dialogue understanding in large language models H Gao, TE Lin, H Li, M Yang, Y Wu, W Ma, Y Li arXiv preprint arXiv:2309.12940, 2023 | 1 | 2023 |
| Intent Recognition for Human-Machine Interactions H Xu, H Zhang, TE Lin Springer, 2023 | 1* | 2023 |
| Constrained self-supervised clustering for discovering new intents (student abstract) TE Lin, H Xu, H Zhang Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13863 …, 2020 | 1 | 2020 |
Yongbin Li（李永彬）Alibaba DAMO AcademyVerified email at alibaba-inc.com
