Image Deblurring with Impulse Noise Using Split Bregman Algorithm. - Liya Yi; Xiaolei Lu; Jinjun Wang; Benxiong Huang (ISCID (2), 2009)

Efficient computational algorithm for optimal allocation in regression models. - Wei Gao 002; Ping Shing Chan; Hon Keung Tony Ng; Xiaolei Lu (J. Comput. Appl. Math., 2014)

Simultaneous confidence bands for contrasts between several nonlinear regression curves. - Xiaolei Lu; Satoshi Kuriki (J. Multivar. Anal., 2017)

Simultaneous sparse coding with Laplacian scale mixture prior for image restoration. - Xiaolei Lu; Xuebin Lü; Yongsheng Zuo (J. Electronic Imaging, 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)

Piecewise Large Margin Learning for Partially Annotated Sequences. - Xiaolei Lu; Tommy W. S. Chow; Haijun Zhang 002 (INDIN, 2019)

Low-dimensional Semantic Space: from Text to Word Embedding. - Xiaolei Lu; Bin Ni (CoRR, 2019)

BERT-CNN: a Hierarchical Patent Classifier Based on a Pre-Trained Language Model. - Xiaolei Lu; Bin Ni (CoRR, 2019)

ADMM for image restoration based on nonlocal simultaneous sparse Bayesian coding. - Xiaolei Lu; Xuebin Lü (Signal Process. Image Commun., 2019)

SynXLM-R: Syntax-Enhanced XLM-R in Translation Quality Estimation. - Bin Ni; Xiaolei Lu; Yiqi Tong (NLPCC (2), 2021)

Duration Modeling with Semi-Markov Conditional Random Fields for Keyphrase Extraction. - Xiaolei Lu; Tommy W. S. Chow (IEEE Trans. Knowl. Data Eng., 2021)

Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization. - Haode Zhang; Haowen Liang; Yuwei Zhang 001; Li-Ming Zhan; Xiao-Ming Wu 003; Xiaolei Lu; Albert Y. S. Lam (NAACL-HLT, 2022)

Machine Learning for Text, by Charu C. Aggarwal, New York, Springer, 2018. ISBN 9783319735306. XXIII + 493 pages. - Xiaolei Lu (Nat. Lang. Eng., 2022)

Weak Disambiguation for Partial Structured Output Learning. - Xiaolei Lu; Tommy W. S. Chow (IEEE Trans. Cybern., 2022)

Asymmetric feature interaction for interpreting model predictions. - Xiaolei Lu; Jianghong Ma; Haode Zhang (ACL (Findings), 2023)

Learning Ambiguity from Crowd Sequential Annotations. - Xiaolei Lu (CoRR, 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 003; José Marcato Junior; Wesley Nunes Gonçalves; Jonathan Li 001 (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Modeling Sequential Annotations for Sequence Labeling With Crowds. - Xiaolei Lu; Tommy W. S. Chow (IEEE Trans. Cybern., 2023)

Does Faithfulness Conflict with Plausibility? An Empirical Study in Explainable AI across NLP Tasks. - Xiaolei Lu; Jianghong Ma (CoRR, 2024)

Partial Sequence Labeling With Structured Gaussian Processes. - Xiaolei Lu; Tommy W. S. Chow (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-VentNet: Multimodal Fusion Framework for Predicting Need for Mechanical Ventilation. - Ye Sel Lee; Xiaolei Lu; Michael Miller; Jonathan Y. Lam; Supreeth P. Shashikumar; Shamim Nemati (ISBI, 2025)

Suboptimal Shapley Value Explanations. - Xiaolei Lu (CoRR, 2025)

Correlation-Driven Explainable Recommendation With Aspect and Rating Boosted Representation Learning: A Unified Joint-Ranking Framework. - Jianghong Ma; Rong Wang; Tianjun Wei; Kangzhe Liu; Haijun Zhang 002; Xiaolei Lu (IEEE Trans. Syst. Man Cybern. Syst., 2025)