Lixing Zhu

According to our database, Lixing Zhu authored at least 75 papers between 2007 and 2024.

Collaborative distances:

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

2024

Detecting change structures of nonparametric regressions.

Wenbiao Zhao, Lixing Zhu

Comput. Stat. Data Anal., February, 2024

Significance test for semiparametric conditional average treatment effects and other structural functions.

Niwen Zhou, Xu Guo, Lixing Zhu

Comput. Stat. Data Anal., January, 2024

Scene Graph Aided Radiology Report Generation.

Jun Wang, Lixing Zhu, Abhir Bhalerao, Yulan He

CoRR, 2024

OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models.

Hainiu Xu, Runcong Zhao, Lixing Zhu, Jinhua Du, Yulan He

CoRR, 2024

NarrativePlay: Interactive Narrative Understanding.

Runcong Zhao, Wenjia Zhang, Jiazheng Li, Lixing Zhu, Yanran Li, Yulan He, Lin Gui

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing.

Runcong Zhao, Wenjia Zhang, Jiazheng Li, Lixing Zhu, Yanran Li, Yulan He, Lin Gui

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Robust estimation in regression and classification methods for large dimensional data.

Chunming Zhang, Lixing Zhu, Yanbo Shen

Mach. Learn., September, 2023

Order determination for spiked-type models with a divergent number of spikes.

Yicheng Zeng, Lixing Zhu

Comput. Stat. Data Anal., June, 2023

Independence tests with random subspace of two random vectors in high dimension.

Tao Qiu, Wangli Xu, Lixing Zhu

J. Multivar. Anal., May, 2023

Specification testing for ordinary differential equation models with fixed design and applications to COVID-19 epidemic models.

Ran Liu, Lixing Zhu

Comput. Stat. Data Anal., April, 2023

Can Prompt Learning Benefit Radiology Report Generation?

Jun Wang, Lixing Zhu, Abhir Bhalerao, Yulan He

CoRR, 2023

Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding.

Lixing Zhu, Runcong Zhao, Lin Gui, Yulan He

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

PANACEA: An Automated Misinformation Detection System on COVID-19.

Runcong Zhao, Miguel Arana-Catania, Lixing Zhu, Elena Kochkina, Lin Gui, Arkaitz Zubiaga, Rob Procter, Maria Liakata, Yulan He

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.

Lixing Zhu, Runcong Zhao, Gabriele Pergola, Yulan He

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.

Feifei Chen, María-Dolores Jiménez-Gamero, Simos G. Meintanis, Lixing Zhu

Comput. Stat. Data Anal., 2022

Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media.

Lixing Zhu, Zheng Fang, Gabriele Pergola, Robert Procter, Yulan He

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.

Junshan Xie, Yicheng Zeng, Lixing Zhu

J. Multivar. Anal., 2021

Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection.

Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou, Yulan He

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.

Lixing Zhu, Deyu Zhou, Yulan He

Trans. Assoc. Comput. Linguistics, 2020

Neural opinion dynamics model for the prediction of user-level stance dynamics.

Lixing Zhu, Yulan He, Deyu Zhou

Inf. Process. Manag., 2020

Dimensionality determination: A thresholding double ridge ratio approach.

Xuehu Zhu, Xu Guo, Tao Wang, Lixing Zhu

Comput. Stat. Data Anal., 2020

Generalized kernel-based inverse regression methods for sufficient dimension reduction.

Chuanlong Xie, Lixing Zhu

Comput. Stat. Data Anal., 2020

Model checks for functional linear regression models based on projected empirical processes.

Feifei Chen, Qing Jiang, Zhenghui Feng, Lixing Zhu

Comput. Stat. Data Anal., 2020

Neural Temporal Opinion Modelling for Opinion Prediction on Twitter.

Lixing Zhu, Yulan He, Deyu Zhou

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.

Qing Jiang, Marie Husková, Simos G. Meintanis, Lixing Zhu

J. Multivar. Anal., 2019

On some characterizations and multidimensional criteria for testing homogeneity, symmetry and independence.

Feifei Chen, Simos G. Meintanis, Lixing Zhu

J. Multivar. Anal., 2019

Hierarchical viewpoint discovery from tweets using Bayesian modelling.

Lixing Zhu, Yulan He, Deyu Zhou

Expert Syst. Appl., 2019

A goodness-of-fit test for variable-adjusted models.

Chuanlong Xie, Lixing Zhu

Comput. Stat. Data Anal., 2019

Estimation for biased partial linear single index models.

Jun Lu, Xuehu Zhu, Lu Lin, Lixing Zhu

Comput. Stat. Data Anal., 2019

Model checking for regressions: An approach bridging between local smoothing and global smoothing methods.

Lingzhu Li, Sung Nok Chiu, Lixing Zhu

Comput. Stat. Data Anal., 2019

Model checking for general linear regression with nonignorable missing response.

Xu Guo, Lianlian Song, Yun Fang, Lixing Zhu

Comput. Stat. Data Anal., 2019

2018

Pivotal variable detection of the covariance matrix and its application to high-dimensional factor models.

Junlong Zhao, Hongyu Zhao, Lixing Zhu

Stat. Comput., 2018

Estimating a sparse reduction for general regression in high dimensions.

Tao Wang, Mengjie Chen, Hongyu Zhao, Lixing Zhu

Stat. Comput., 2018

Generalized principal Hessian directions for mixture multivariate skew elliptical distributions.

Fei Chen, Lei Shi, Xuehu Zhu, Lixing Zhu

J. Multivar. Anal., 2018

Pairwise distance-based tests for conditional symmetry.

Cuizhen Niu, Xu Guo, Yong Li, Lixing Zhu

Comput. Stat. Data Anal., 2018

Semiparametric double robust and efficient estimation for mean functionals with response missing at random.

Xu Guo, Yun Fang, Xuehu Zhu, Wangli Xu, Lixing Zhu

Comput. Stat. Data Anal., 2018

2017

An adaptive-to-model test for partially parametric single-index models.

Xuehu Zhu, Xu Guo, Lixing Zhu

Stat. Comput., 2017

Multiple-population shrinkage estimation via sliced inverse regression.

Tao Wang, Xuerong Meggie Wen, Lixing Zhu

Stat. Comput., 2017

Inference for biased transformation models.

Xuehu Zhu, Tao Wang, Junlong Zhao, Lixing Zhu

Comput. Stat. Data Anal., 2017

2016

Group-wise semiparametric modeling: A SCSE approach.

Song Song, Lixing Zhu

J. Multivar. Anal., 2016

Inference for biased models: A quasi-instrumental variable approach.

Lu Lin, Lixing Zhu, Yujie Gai

J. Multivar. Anal., 2016

The Dual Central Subspaces in dimension reduction.

Ross Iaci, Xiangrong Yin, Lixing Zhu

J. Multivar. Anal., 2016

Asymtotics of Dantzig selector for a general single-index model.

Yan Fan, Yujie Gai, Lixing Zhu

J. Syst. Sci. Complex., 2016

Heteroscedasticity testing for regression models: A dimension reduction-based model adaptive approach.

Xuehu Zhu, Fei Chen, Xu Guo, Lixing Zhu

Comput. Stat. Data Anal., 2016

Principal minimax support vector machine for sufficient dimension reduction with contaminated data.

Jingke Zhou, Lixing Zhu

Comput. Stat. Data Anal., 2016

2015

Heteroscedasticity checks for single index models.

Xuehu Zhu, Xu Guo, Lu Lin, Lixing Zhu

J. Multivar. Anal., 2015

Robust estimating equation-based sufficient dimension reduction.

Jingke Zhou, Wangli Xu, Lixing Zhu

J. Multivar. Anal., 2015

Inference for mixed models of ANOVA type with high-dimensional data.

Fei Chen, Zaixing Li, Lei Shi, Lixing Zhu

J. Multivar. Anal., 2015

Functional Nonlinear Mixed Effects Models for Longitudinal Image Data.

Xinchao Luo, Lixing Zhu, Linglong Kong, Hongtu Zhu

Proceedings of the Information Processing in Medical Imaging, 2015

2014

Multi-index regression models with missing covariates at random.

Xu Guo, Wangli Xu, Lixing Zhu

J. Multivar. Anal., 2014

Transformation-based model averaged tail area inference.

Wei Yu, Wangli Xu, Lixing Zhu

Comput. Stat., 2014

Empirical likelihood inference in linear regression with nonignorable missing response.

Cuizhen Niu, Xu Guo, Wangli Xu, Lixing Zhu

Comput. Stat. Data Anal., 2014

Dimension reduction with missing response at random.

Xu Guo, Tao Wang, Wangli Xu, Lixing Zhu

Comput. Stat. Data Anal., 2014

Transformation-based estimation.

Zhenghui Feng, Tao Wang, Lixing Zhu

Comput. Stat. Data Anal., 2014

2013

Sparse sufficient dimension reduction using optimal scoring.

Tao Wang, Lixing Zhu

Comput. Stat. Data Anal., 2013

Nonparametric feature screening.

Lu Lin, Jing Sun, Lixing Zhu

Comput. Stat. Data Anal., 2013

Automatic variable selection for longitudinal generalized linear models.

Gaorong Li, Heng Lian, Sanying Feng, Lixing Zhu

Comput. Stat. Data Anal., 2013

2012

On a dimension reduction regression with covariate adjustment.

Jun Zhang, Li-Ping Zhu, Li-Xing Zhu

J. Multivar. Anal., 2012

Nonlinear models with measurement errors subject to single-indexed distortion.

Jun Zhang, Li-Xing Zhu, Hua Liang

J. Multivar. Anal., 2012

On model-free conditional coordinate tests for regressions.

Zhou Yu, Li-Xing Zhu, Xuerong Meggie Wen

J. Multivar. Anal., 2012

Estimation for a marginal generalized single-index longitudinal model.

Peirong Xu, Lixing Zhu

J. Multivar. Anal., 2012

Non-convex penalized estimation in high-dimensional models with single-index structure.

Tao Wang, Peirong Xu, Lixing Zhu

J. Multivar. Anal., 2012

Empirical likelihood for a varying coefficient partially linear model with diverging number of parameters.

Gaorong Li, Lu Lin, Lixing Zhu

J. Multivar. Anal., 2012

An alternating determination-optimization approach for an additive multi-index model.

Zhenghui Feng, Lixing Zhu

Comput. Stat. Data Anal., 2012

2011

Sufficient dimension reduction in regressions through cumulative Hessian directions.

Li-Mei Zhang, Li-Ping Zhu, Li-Xing Zhu

Stat. Comput., 2011

Consistent tuning parameter selection in high dimensional sparse linear regression.

Tao Wang, Lixing Zhu

J. Multivar. Anal., 2011

2010

Bias-corrected empirical likelihood in a multi-link semiparametric model.

Lixing Zhu, Lu Lin, Xia Cui, Gaorong Li

J. Multivar. Anal., 2010

Adaptive confidence region for the direction in semiparametric regressions.

Gaorong Li, Li-Ping Zhu, Li-Xing Zhu

J. Multivar. Anal., 2010

Empirical likelihood inference in partially linear single-index models for longitudinal data.

Gaorong Li, Lixing Zhu, Liugen Xue, Sanying Feng

J. Multivar. Anal., 2010

On an asymptotically more efficient estimation of the single-index model.

Ziqing Chang, Liugen Xue, Lixing Zhu

J. Multivar. Anal., 2010

A sparse eigen-decomposition estimation in semiparametric regression.

Li-Ping Zhu, Zhou Yu, Li-Xing Zhu

Comput. Stat. Data Anal., 2010

2009

Nonconcave penalized inverse regression in single-index models with high dimensional predictors.

Li-Ping Zhu, Li-Xing Zhu

J. Multivar. Anal., 2009

Inference on a regression model with noised variables and serially correlated errors.

Jinhong You, Xian Zhou, Li-Xing Zhu

J. Multivar. Anal., 2009

Influence diagnostics and outlier tests for varying coefficient mixed models.

Zaixing Li, Wangli Xu, Lixing Zhu

J. Multivar. Anal., 2009

2007

On hybrid methods of inverse regression-based algorithms.

Li-Xing Zhu, Megu Ohtaki, Yingxing Li

Comput. Stat. Data Anal., 2007