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Xiaolei Lu
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2020 – today
- 2024
- [j11]Xiaolei Lu, Tommy W. S. Chow:
Partial Sequence Labeling With Structured Gaussian Processes. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2783-2792 (2024) - [i10]Xiaolei Lu, Jianghong Ma:
Does Faithfulness Conflict with Plausibility? An Empirical Study in Explainable AI across NLP Tasks. CoRR abs/2404.00140 (2024) - 2023
- [j10]Weiquan Liu, Yu Zang, Zhangyue Xiong, Xuesheng Bian, Chenglu Wen, Xiaolei Lu, Cheng Wang, José Marcato Junior, Wesley Nunes Gonçalves, Jonathan Li:
3D building model generation from MLS point cloud and 3D mesh using multi-source data fusion. Int. J. Appl. Earth Obs. Geoinformation 116: 103171 (2023) - [j9]Xiaolei Lu, Tommy W. S. Chow:
Modeling Sequential Annotations for Sequence Labeling With Crowds. IEEE Trans. Cybern. 53(4): 2335-2345 (2023) - [c5]Xiaolei Lu, Jianghong Ma, Haode Zhang:
Asymmetric feature interaction for interpreting model predictions. ACL (Findings) 2023: 4666-4678 - [i9]Xiaolei Lu:
Learning Ambiguity from Crowd Sequential Annotations. CoRR abs/2301.01579 (2023) - [i8]Xiaolei Lu, Jianghong Ma, Haode Zhang:
Asymmetric feature interaction for interpreting model predictions. CoRR abs/2305.07224 (2023) - 2022
- [j8]Xiaolei Lu:
Machine Learning for Text, by Charu C. Aggarwal, New York, Springer, 2018. ISBN 9783319735306. XXIII + 493 pages. Nat. Lang. Eng. 28(4): 541-543 (2022) - [j7]Xiaolei Lu, Tommy W. S. Chow:
Weak Disambiguation for Partial Structured Output Learning. IEEE Trans. Cybern. 52(2): 1258-1268 (2022) - [c4]Haode Zhang, Haowen Liang, Yuwei Zhang, Li-Ming Zhan, Xiao-Ming Wu, Xiaolei Lu, Albert Y. S. Lam:
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization. NAACL-HLT 2022: 532-542 - [i7]Haode Zhang, Haowen Liang, Yuwei Zhang, Li-Ming Zhan, Xiao-Ming Wu, Xiaolei Lu, Albert Y. S. Lam:
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization. CoRR abs/2205.07208 (2022) - [i6]Xiaolei Lu, Tommy W. S. Chow:
Duration modeling with semi-Markov Conditional Random Fields for keyphrase extraction. CoRR abs/2209.09149 (2022) - [i5]Xiaolei Lu, Tommy W. S. Chow:
Partial sequence labeling with structured Gaussian Processes. CoRR abs/2209.09397 (2022) - [i4]Xiaolei Lu, Tommy W. S. Chow:
Weak Disambiguation for Partial Structured Output Learning. CoRR abs/2209.09410 (2022) - [i3]Xiaolei Lu, Tommy W. S. Chow:
Modeling sequential annotations for sequence labeling with crowds. CoRR abs/2209.09430 (2022) - 2021
- [j6]Xiaolei Lu, Tommy W. S. Chow:
Duration Modeling with Semi-Markov Conditional Random Fields for Keyphrase Extraction. IEEE Trans. Knowl. Data Eng. 33(4): 1453-1466 (2021) - [c3]Bin Ni, Xiaolei Lu, Yiqi Tong:
SynXLM-R: Syntax-Enhanced XLM-R in Translation Quality Estimation. NLPCC (2) 2021: 27-40
2010 – 2019
- 2019
- [j5]Xiaolei Lu, Xuebin Lü:
ADMM for image restoration based on nonlocal simultaneous sparse Bayesian coding. Signal Process. Image Commun. 70: 157-173 (2019) - [c2]Xiaolei Lu, Tommy W. S. Chow, Haijun Zhang:
Piecewise Large Margin Learning for Partially Annotated Sequences. INDIN 2019: 1483-1487 - [i2]Xiaolei Lu, Bin Ni:
Low-dimensional Semantic Space: from Text to Word Embedding. CoRR abs/1911.00845 (2019) - [i1]Xiaolei Lu, Bin Ni:
BERT-CNN: a Hierarchical Patent Classifier Based on a Pre-Trained Language Model. CoRR abs/1911.06241 (2019) - 2018
- [j4]Xiaolei Lu, Xuebin Lü, Yongsheng Zuo:
Simultaneous sparse coding with Laplacian scale mixture prior for image restoration. J. Electronic Imaging 27(05): 053009 (2018) - [j3]Xiaolei Lu, Xuebin Lü, Yongsheng Zuo:
Spherically contoured exponential scale mixture prior based nonlocal image restoration with ADMM framework. J. Vis. Commun. Image Represent. 55: 374-392 (2018) - 2017
- [j2]Xiaolei Lu, Satoshi Kuriki:
Simultaneous confidence bands for contrasts between several nonlinear regression curves. J. Multivar. Anal. 155: 83-104 (2017) - 2014
- [j1]Wei Gao, Ping Shing Chan, Hon Keung Tony Ng, Xiaolei Lu:
Efficient computational algorithm for optimal allocation in regression models. J. Comput. Appl. Math. 261: 118-126 (2014)
2000 – 2009
- 2009
- [c1]Liya Yi, Xiaolei Lu, Jinjun Wang, Benxiong Huang:
Image Deblurring with Impulse Noise Using Split Bregman Algorithm. ISCID (2) 2009: 233-238
Coauthor Index
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last updated on 2024-05-09 23:50 CEST by the dblp team
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