Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit Y Mo*, Q Wu*, X Li, B Huang Journal of Intelligent Manufacturing 32, 1997-2006, 2021 | 146 | 2021 |
Approach for fault prognosis using recurrent neural network Q Wu, K Ding, B Huang Journal of Intelligent Manufacturing 31 (7), 1621-1633, 2020 | 140 | 2020 |
Enhanced meta-learning for cross-lingual named entity recognition with minimal resources Q Wu, Z Lin, G Wang, H Chen, BF Karlsson, B Huang, CY Lin Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9274-9281, 2020 | 71 | 2020 |
Decomposed Meta-Learning for Few-Shot Named Entity Recognition T Ma*, H Jiang*, Q Wu*, T Zhao, CY Lin Findings of ACL 2022, 1584 - 1596, 2022 | 70 | 2022 |
Single-/multi-source cross-lingual NER via teacher-student learning on unlabeled data in target language Q Wu, Z Lin, BF Karlsson, JG Lou, B Huang Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 68 | 2020 |
Dilated convolution neural network for remaining useful life prediction X Xu, Q Wu, X Li, B Huang Journal of Computing and Information Science in Engineering 20 (2), 021004, 2020 | 47 | 2020 |
Unitrans: Unifying model transfer and data transfer for cross-lingual named entity recognition with unlabeled data Q Wu, Z Lin, BF Karlsson, B Huang, JG Lou Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 44 | 2020 |
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models H Jiang, Q Wu, CY Lin, Y Yang, L Qiu Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 39 | 2023 |
AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER W Chen, H Jiang, Q Wu, BF Karlsson, Y Guan Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 33 | 2021 |
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression H Jiang, Q Wu, X Luo, D Li, CY Lin, Y Yang, L Qiu Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2023 | 28 | 2023 |
On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning T Ma, Q Wu, Z Yu, T Zhao, CY Lin Proceedings of the 2022 Annual Conference of the North American Chapter of …, 2022 | 7 | 2022 |
LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection H Yin*, G Jiao*, Q Wu, BF Karlsson, BH Huang, CY Lin Arxiv, 2023 | 6 | 2023 |
DeepMRT at the NTCIR-14 FinNum task: a hybrid neural model for numeral type classification in financial tweets Q Wu*, G Wang*, Y Zhu, H Liu, B Karlsson Proceedings of the 14th NTCIR Conference on Evaluation of Information Access …, 2019 | 5 | 2019 |
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text Q Wu, H Jiang, H Yin, BF Karlsson, CY Lin Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 4 | 2023 |
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition T Ma, Q Wu, H Jiang, BF Karlsson, T Zhao, CY Lin Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 2 | 2023 |
BiGCNN: Bidirectional gated convolutional neural network for Chinese named entity recognition T Zhao, H Liu, Q Wu, C Sun, D Zhan, Z Li Database Systems for Advanced Applications: 25th International Conference …, 2020 | 2 | 2020 |
RUL Prediction of bearings based on mixture of gaussians bayesian belief network and support vector data description Q Wu, Y Feng, B Huang Challenges and Opportunity with Big Data: 19th Monterey Workshop 2016 …, 2017 | 2 | 2017 |
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression Z Pan, Q Wu, H Jiang, M Xia, X Luo, J Zhang, Q Lin, V Rühle, Y Yang, ... Findings of ACL 2024., 2024 | 1 | 2024 |
Decomposed Meta-Learning for Few-Shot Sequence Labeling T Ma, Q Wu, H Jiang, J Lin, BF Karlsson, T Zhao, CY Lin IEEE Transactions on Audio, Speech and Language Processing, 2024 | | 2024 |