Xiaolei Lu

According to our database, Xiaolei Lu authored at least 20 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Partial Sequence Labeling With Structured Gaussian Processes.

Xiaolei Lu, Tommy W. S. Chow

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Does Faithfulness Conflict with Plausibility? An Empirical Study in Explainable AI across NLP Tasks.

Xiaolei Lu, Jianghong Ma

CoRR, 2024

2023

Modeling Sequential Annotations for Sequence Labeling With Crowds.

Xiaolei Lu, Tommy W. S. Chow

IEEE Trans. Cybern., April, 2023

3D building model generation from MLS point cloud and 3D mesh using multi-source data fusion.

Weiquan Liu, Yu Zang, Zhangyue Xiong, Xuesheng Bian, Chenglu Wen, Xiaolei Lu, Cheng Wang, José Marcato Junior, Wesley Nunes Gonçalves, Jonathan Li

Int. J. Appl. Earth Obs. Geoinformation, February, 2023

Learning Ambiguity from Crowd Sequential Annotations.

Xiaolei Lu

CoRR, 2023

Asymmetric feature interaction for interpreting model predictions.

Xiaolei Lu, Jianghong Ma, Haode Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Weak Disambiguation for Partial Structured Output Learning.

Xiaolei Lu, Tommy W. S. Chow

IEEE Trans. Cybern., 2022

Machine Learning for Text, by Charu C. Aggarwal, New York, Springer, 2018. ISBN 9783319735306. XXIII + 493 pages.

Xiaolei Lu

Nat. Lang. Eng., 2022

Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization.

Haode Zhang, Haowen Liang, Yuwei Zhang, Li-Ming Zhan, Xiao-Ming Wu, Xiaolei Lu, Albert Y. S. Lam

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Duration Modeling with Semi-Markov Conditional Random Fields for Keyphrase Extraction.

Xiaolei Lu, Tommy W. S. Chow

IEEE Trans. Knowl. Data Eng., 2021

SynXLM-R: Syntax-Enhanced XLM-R in Translation Quality Estimation.

Bin Ni, Xiaolei Lu, Yiqi Tong

Proceedings of the Natural Language Processing and Chinese Computing, 2021

2019

ADMM for image restoration based on nonlocal simultaneous sparse Bayesian coding.

Xiaolei Lu, Xuebin Lü

Signal Process. Image Commun., 2019

BERT-CNN: a Hierarchical Patent Classifier Based on a Pre-Trained Language Model.

Xiaolei Lu, Bin Ni

CoRR, 2019

Low-dimensional Semantic Space: from Text to Word Embedding.

Xiaolei Lu, Bin Ni

CoRR, 2019

Piecewise Large Margin Learning for Partially Annotated Sequences.

Xiaolei Lu, Tommy W. S. Chow, Haijun Zhang

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

2018

Spherically contoured exponential scale mixture prior based nonlocal image restoration with ADMM framework.

Xiaolei Lu, Xuebin Lü, Yongsheng Zuo

J. Vis. Commun. Image Represent., 2018

Simultaneous sparse coding with Laplacian scale mixture prior for image restoration.

Xiaolei Lu, Xuebin Lü, Yongsheng Zuo

J. Electronic Imaging, 2018

2017

Simultaneous confidence bands for contrasts between several nonlinear regression curves.

Xiaolei Lu, Satoshi Kuriki

J. Multivar. Anal., 2017

2014

Efficient computational algorithm for optimal allocation in regression models.

Wei Gao, Ping Shing Chan, Hon Keung Tony Ng, Xiaolei Lu

J. Comput. Appl. Math., 2014

2009

Image Deblurring with Impulse Noise Using Split Bregman Algorithm.

Liya Yi, Xiaolei Lu, Jinjun Wang, Benxiong Huang

Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design, 2009