| 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 | 175 | 2021 |
| Approach for fault prognosis using recurrent neural network Q Wu, K Ding, B Huang Journal of Intelligent Manufacturing 31 (7), 1621-1633, 2020 | 144 | 2020 |
| LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models H Jiang, Q Wu, CY Lin, Y Yang, L Qiu EMNLP 2023, 2023 | 102 | 2023 |
| Decomposed Meta-Learning for Few-Shot Named Entity Recognition T Ma*, H Jiang*, Q Wu*, T Zhao, CY Lin Findings of ACL 2022, 2022 | 84 | 2022 |
| 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 ACL 2024, 2023 | 83 | 2023 |
| 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 ACL 2020, 2020 | 77 | 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 AAAI 2020, 2020 | 77 | 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 | 52 | 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 IJCAI 2020, 2020 | 50 | 2020 |
| AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER W Chen, H Jiang, Q Wu, BF Karlsson, Y Guan ACL 2021, 2021 | 38 | 2021 |
| 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 | 22 | 2024 |
| 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 | 9 | 2023 |
| Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text Q Wu, H Jiang, H Yin, BF Karlsson, CY Lin ACL 2023, 2023 | 9 | 2023 |
| On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning T Ma, Q Wu, Z Yu, T Zhao, CY Lin NAACL 2022, 2022 | 9 | 2022 |
| CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition T Ma, Q Wu, H Jiang, BF Karlsson, T Zhao, CY Lin ACL 2023, 2023 | 5 | 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 NTCIR 2019, 2019 | 5 | 2019 |
| MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention H Jiang, Y Li, Z Chengruilong, Q Wu, X Luo, S Ahn, Z Han, AH Abdi, D Li, ... NeurIPS 2024, 2024 | 4 | 2024 |
| 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 | 3 | 2017 |
| BiGCNN: Bidirectional gated convolutional neural network for Chinese named entity recognition T Zhao, H Liu, Q Wu, C Sun, D Zhan, Z Li DASFAA 2020, 2020 | 2 | 2020 |
| TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning S Shandilya, M Xia, S Ghosh, H Jiang, J Zhang, Q Wu, V Rühle arXiv preprint arXiv:2409.13035, 2024 | | 2024 |
Chin-Yew LinPrincipal Research Manager of Knowledge Computing Group, Microsoft Research Asia在 microsoft.com 的电子邮件经过验证
