Qianhui Wu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 31

Top Topics

Language Modeling

Named Entity Recognition

Top Venues

J. Intell. Manuf.

Publications

Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin, Victor Rühle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. ACL (Findings) (2024)
Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression. ACL (1) (2024)
Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention. CoRR (2024)
Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
Mitigate Position Bias in Large Language Models via Scaling a Single Dimension. CoRR (2024)
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin, Victor Rühle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. CoRR (2024)
Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, Lili Qiu
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models. CoRR (2023)
Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, Lili Qiu
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models. EMNLP (2023)
Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression. CoRR (2023)
Tingting Ma, Qianhui Wu, Huiqiang Jiang, Börje F. Karlsson, Tiejun Zhao, Chin-Yew Lin
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition. CoRR (2023)
Tingting Ma, Qianhui Wu, Huiqiang Jiang, Börje Karlsson, Tiejun Zhao, Chin-Yew Lin
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition. ACL (1) (2023)
Haonan Yin, Guanlong Jiao, Qianhui Wu, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin
LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection. CoRR (2023)
Qianhui Wu, Huiqiang Jiang, Haonan Yin, Börje Karlsson, Chin-Yew Lin
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text. ACL (1) (2023)
Qianhui Wu, Huiqiang Jiang, Haonan Yin, Börje F. Karlsson, Chin-Yew Lin
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text. CoRR (2022)
Tingting Ma, Huiqiang Jiang, Qianhui Wu, Tiejun Zhao, Chin-Yew Lin
Decomposed Meta-Learning for Few-Shot Named Entity Recognition. ACL (Findings) (2022)
Tingting Ma, Qianhui Wu, Zhiwei Yu, Tiejun Zhao, Chin-Yew Lin
On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning. NAACL-HLT (2022)
Tingting Ma, Huiqiang Jiang, Qianhui Wu, Tiejun Zhao, Chin-Yew Lin
Decomposed Meta-Learning for Few-Shot Named Entity Recognition. CoRR (2022)
Weile Chen, Huiqiang Jiang, Qianhui Wu, Börje F. Karlsson, Yi Guan
AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER. CoRR (2021)
Yan-Guo Wang, Qingling Qian, Qianhui Wu, Wei Zhang, Song Tan, Yongtao Gui, Zhipeng Yang, Qiang Wang
Electrical State Detection of Railway Insulators based on Ultraviolet Imaging. ICCTA (2021)
Weile Chen, Huiqiang Jiang, Qianhui Wu, Börje Karlsson, Yi Guan
AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER. ACL/IJCNLP (1) (2021)
Yu Mo, Qianhui Wu, Xiu Li, Biqing Huang
Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. J. Intell. Manuf. 32 (7) (2021)
Xin Xu, Qianhui Wu, Xiu Li, Biqing Huang
Dilated Convolution Neural Network for Remaining Useful Life Prediction. J. Comput. Inf. Sci. Eng. 20 (2) (2020)
Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin
Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources. AAAI (2020)
Tianyang Zhao, Haoyan Liu, Qianhui Wu, Changzhi Sun, Dongdong Zhang, Zhoujun Li
BiGCNN: Bidirectional Gated Convolutional Neural Network for Chinese Named Entity Recognition. DASFAA (1) (2020)
Qianhui Wu, Zijia Lin, Börje Karlsson, Jianguang Lou, Biqing Huang
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language. ACL (2020)
Qianhui Wu, Keqin Ding, Biqing Huang
Approach for fault prognosis using recurrent neural network. J. Intell. Manuf. 31 (7) (2020)
Qianhui Wu, Zijia Lin, Börje F. Karlsson, Jianguang Lou, Biqing Huang
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language. CoRR (2020)
Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jianguang Lou
UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data. CoRR (2020)
Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jianguang Lou
UniTrans : Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data. IJCAI (2020)
Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources. CoRR (2019)
Thomas D. Gaddy, Qianhui Wu, Alyssa D. Arnheim, Stacey D. Finley
Mechanistic modeling quantifies the influence of tumor growth kinetics on the response to anti-angiogenic treatment. PLoS Comput. Biol. 13 (12) (2017)
Qianhui Wu, Yu Feng, Biqing Huang
RUL Prediction of Bearings Based on Mixture of Gaussians Bayesian Belief Network and Support Vector Data Description. Monterey Workshop (2016)