Lixing Zhu
Orcid: 0000-0003-1611-4267
According to our database1,
Lixing Zhu
authored at least 80 papers
between 2007 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on d-nb.info
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Bibliography
2025
Minimax rates of convergence for sliced inverse regression with differential privacy.
Comput. Stat. Data Anal., 2025
2024
Correction to: The COR criterion for optimal subset selection in distributed estimation.
Stat. Comput., December, 2024
Stat. Comput., October, 2024
Comput. Stat. Data Anal., February, 2024
Significance test for semiparametric conditional average treatment effects and other structural functions.
Comput. Stat. Data Anal., January, 2024
Tests for high-dimensional generalized linear models under general covariance structure.
Comput. Stat. Data Anal., 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Robust estimation in regression and classification methods for large dimensional data.
Mach. Learn., September, 2023
Comput. Stat. Data Anal., June, 2023
J. Multivar. Anal., May, 2023
Specification testing for ordinary differential equation models with fixed design and applications to COVID-19 epidemic models.
Comput. Stat. Data Anal., April, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023
Disentangling Aspect and Stance via a Siamese Autoencoder for Aspect Clustering of Vaccination Opinions.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
A general Monte Carlo method for multivariate goodness-of-fit testing applied to elliptical families.
Comput. Stat. Data Anal., 2022
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
2021
Limiting laws for extreme eigenvalues of large-dimensional spiked Fisher matrices with a divergent number of spikes.
J. Multivar. Anal., 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings.
Trans. Assoc. Comput. Linguistics, 2020
Inf. Process. Manag., 2020
Comput. Stat. Data Anal., 2020
Generalized kernel-based inverse regression methods for sufficient dimension reduction.
Comput. Stat. Data Anal., 2020
Model checks for functional linear regression models based on projected empirical processes.
Comput. Stat. Data Anal., 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Asymptotics, finite-sample comparisons and applications for two-sample tests with functional data.
J. Multivar. Anal., 2019
On some characterizations and multidimensional criteria for testing homogeneity, symmetry and independence.
J. Multivar. Anal., 2019
Expert Syst. Appl., 2019
Comput. Stat. Data Anal., 2019
Model checking for regressions: An approach bridging between local smoothing and global smoothing methods.
Comput. Stat. Data Anal., 2019
Comput. Stat. Data Anal., 2019
2018
Pivotal variable detection of the covariance matrix and its application to high-dimensional factor models.
Stat. Comput., 2018
Stat. Comput., 2018
Generalized principal Hessian directions for mixture multivariate skew elliptical distributions.
J. Multivar. Anal., 2018
Comput. Stat. Data Anal., 2018
Semiparametric double robust and efficient estimation for mean functionals with response missing at random.
Comput. Stat. Data Anal., 2018
2017
Stat. Comput., 2017
Stat. Comput., 2017
2016
J. Multivar. Anal., 2016
J. Syst. Sci. Complex., 2016
Heteroscedasticity testing for regression models: A dimension reduction-based model adaptive approach.
Comput. Stat. Data Anal., 2016
Principal minimax support vector machine for sufficient dimension reduction with contaminated data.
Comput. Stat. Data Anal., 2016
2015
J. Multivar. Anal., 2015
J. Multivar. Anal., 2015
Proceedings of the Information Processing in Medical Imaging, 2015
2014
J. Multivar. Anal., 2014
Empirical likelihood inference in linear regression with nonignorable missing response.
Comput. Stat. Data Anal., 2014
2013
Comput. Stat. Data Anal., 2013
Comput. Stat. Data Anal., 2013
2012
J. Multivar. Anal., 2012
J. Multivar. Anal., 2012
J. Multivar. Anal., 2012
Non-convex penalized estimation in high-dimensional models with single-index structure.
J. Multivar. Anal., 2012
Empirical likelihood for a varying coefficient partially linear model with diverging number of parameters.
J. Multivar. Anal., 2012
An alternating determination-optimization approach for an additive multi-index model.
Comput. Stat. Data Anal., 2012
2011
Stat. Comput., 2011
J. Multivar. Anal., 2011
2010
J. Multivar. Anal., 2010
J. Multivar. Anal., 2010
Empirical likelihood inference in partially linear single-index models for longitudinal data.
J. Multivar. Anal., 2010
J. Multivar. Anal., 2010
Comput. Stat. Data Anal., 2010
2009
Nonconcave penalized inverse regression in single-index models with high dimensional predictors.
J. Multivar. Anal., 2009
Inference on a regression model with noised variables and serially correlated errors.
J. Multivar. Anal., 2009
J. Multivar. Anal., 2009
2007
Comput. Stat. Data Anal., 2007