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Qianhui Wu (武千惠)
Qianhui Wu (武千惠)
Microsoft Research Asia
Verified email at tsinghua.org.cn
Title
Cited by
Cited by
Year
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
1382021
Approach for fault prognosis using recurrent neural network
Q Wu, K Ding, B Huang
Journal of Intelligent Manufacturing 31 (7), 1621-1633, 2020
1382020
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
702020
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
672020
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
652022
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
472020
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
442020
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
352023
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
332021
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
Arxiv, 2023
252023
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
62023
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
62022
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
52019
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
42023
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
22023
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
22020
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
22017
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, ...
Arxiv, 2024
12024
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
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