Qianhui Wu

According to our database1, Qianhui Wu authored at least 22 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning.
CoRR, 2024

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.
CoRR, 2024

Mitigate Position Bias in Large Language Models via Scaling a Single Dimension.
CoRR, 2024

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection.
CoRR, 2023

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Decomposed Meta-Learning for Few-Shot Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit.
J. Intell. Manuf., 2021

Electrical State Detection of Railway Insulators based on Ultraviolet Imaging.
Proceedings of the ICCTA 2021: 7th International Conference on Computer Technology Applications, Vienna, Austria, July 13, 2021

AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Approach for fault prognosis using recurrent neural network.
J. Intell. Manuf., 2020

Dilated Convolution Neural Network for Remaining Useful Life Prediction.
J. Comput. Inf. Sci. Eng., 2020

UniTrans : Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

BiGCNN: Bidirectional Gated Convolutional Neural Network for Chinese Named Entity Recognition.
Proceedings of the Database Systems for Advanced Applications, 2020

Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2017
Mechanistic modeling quantifies the influence of tumor growth kinetics on the response to anti-angiogenic treatment.
PLoS Comput. Biol., 2017

2016
RUL Prediction of Bearings Based on Mixture of Gaussians Bayesian Belief Network and Support Vector Data Description.
Proceedings of the Challenges and Opportunity with Big Data, 2016


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