On hybrid methods of inverse regression-based algorithms. - Li-Xing Zhu; Megu Ohtaki; Yingxing Li (Comput. Stat. Data Anal., 2007)

Influence diagnostics and outlier tests for varying coefficient mixed models. - Zaixing Li; Wangli Xu; Lixing Zhu (J. Multivar. Anal., 2009)

Inference on a regression model with noised variables and serially correlated errors. - Jinhong You; Xian Zhou 002; Li-Xing Zhu (J. Multivar. Anal., 2009)

Nonconcave penalized inverse regression in single-index models with high dimensional predictors. - Li-Ping Zhu; Li-Xing Zhu (J. Multivar. Anal., 2009)

A sparse eigen-decomposition estimation in semiparametric regression. - Li-Ping Zhu; Zhou Yu; Li-Xing Zhu (Comput. Stat. Data Anal., 2010)

On an asymptotically more efficient estimation of the single-index model. - Ziqing Chang; Liugen Xue; Lixing 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)

Adaptive confidence region for the direction in semiparametric regressions. - Gaorong Li; Li-Ping Zhu; Li-Xing Zhu (J. Multivar. Anal., 2010)

Bias-corrected empirical likelihood in a multi-link semiparametric model. - Lixing Zhu; Lu Lin 002; Xia Cui; Gaorong Li (J. Multivar. Anal., 2010)

Consistent tuning parameter selection in high dimensional sparse linear regression. - Tao Wang 067; Lixing Zhu (J. Multivar. Anal., 2011)

Sufficient dimension reduction in regressions through cumulative Hessian directions. - Li-Mei Zhang; Li-Ping Zhu; Li-Xing Zhu (Stat. Comput., 2011)

An alternating determination-optimization approach for an additive multi-index model. - Zhenghui Feng; Lixing Zhu (Comput. Stat. Data Anal., 2012)

Empirical likelihood for a varying coefficient partially linear model with diverging number of parameters. - Gaorong Li; Lu Lin 002; Lixing Zhu (J. Multivar. Anal., 2012)

Non-convex penalized estimation in high-dimensional models with single-index structure. - Tao Wang 067; Peirong Xu; Lixing Zhu (J. Multivar. Anal., 2012)

Estimation for a marginal generalized single-index longitudinal model. - Peirong Xu; Lixing Zhu (J. Multivar. Anal., 2012)

On model-free conditional coordinate tests for regressions. - Zhou Yu; Li-Xing Zhu; Xuerong Meggie Wen (J. Multivar. Anal., 2012)

Nonlinear models with measurement errors subject to single-indexed distortion. - Jun Zhang 027; Li-Xing Zhu; Hua Liang (J. Multivar. Anal., 2012)

On a dimension reduction regression with covariate adjustment. - Jun Zhang 027; Li-Ping Zhu; Li-Xing Zhu (J. Multivar. Anal., 2012)

Automatic variable selection for longitudinal generalized linear models. - Gaorong Li; Heng Lian; Sanying Feng; Lixing Zhu (Comput. Stat. Data Anal., 2013)

Nonparametric feature screening. - Lu Lin 002; Jing Sun; Lixing Zhu (Comput. Stat. Data Anal., 2013)

Sparse sufficient dimension reduction using optimal scoring. - Tao Wang 067; Lixing Zhu (Comput. Stat. Data Anal., 2013)

Transformation-based estimation. - Zhenghui Feng; Tao Wang 067; Lixing Zhu (Comput. Stat. Data Anal., 2014)

Dimension reduction with missing response at random. - Xu Guo; Tao Wang 067; Wangli Xu; Lixing Zhu (Comput. Stat. Data Anal., 2014)

Empirical likelihood inference in linear regression with nonignorable missing response. - Cuizhen Niu; Xu Guo; Wangli Xu; Lixing Zhu (Comput. Stat. Data Anal., 2014)

Transformation-based model averaged tail area inference. - Wei Yu; Wangli Xu; Lixing Zhu (Comput. Stat., 2014)

Multi-index regression models with missing covariates at random. - Xu Guo; Wangli Xu; Lixing Zhu (J. Multivar. Anal., 2014)

Functional Nonlinear Mixed Effects Models for Longitudinal Image Data. - Xinchao Luo; Lixing Zhu; Linglong Kong; Hongtu Zhu (IPMI, 2015)

Inference for mixed models of ANOVA type with high-dimensional data. - Fei Chen 004; Zaixing Li; Lei Shi; Lixing Zhu (J. Multivar. Anal., 2015)

Robust estimating equation-based sufficient dimension reduction. - Jingke Zhou; Wangli Xu; Lixing Zhu (J. Multivar. Anal., 2015)

Heteroscedasticity checks for single index models. - Xuehu Zhu; Xu Guo; Lu Lin 002; Lixing Zhu (J. Multivar. Anal., 2015)

Principal minimax support vector machine for sufficient dimension reduction with contaminated data. - Jingke Zhou; Lixing Zhu (Comput. Stat. Data Anal., 2016)

Heteroscedasticity testing for regression models: A dimension reduction-based model adaptive approach. - Xuehu Zhu; Fei Chen 004; Xu Guo; Lixing Zhu (Comput. Stat. Data Anal., 2016)

Asymtotics of Dantzig selector for a general single-index model. - Yan Fan; Yujie Gai; Lixing Zhu (J. Syst. Sci. Complex., 2016)

The Dual Central Subspaces in dimension reduction. - Ross Iaci; Xiangrong Yin; Lixing Zhu (J. Multivar. Anal., 2016)

Inference for biased models: A quasi-instrumental variable approach. - Lu Lin 002; Lixing Zhu; Yujie Gai (J. Multivar. Anal., 2016)

Group-wise semiparametric modeling: A SCSE approach. - Song Song; Lixing Zhu (J. Multivar. Anal., 2016)

Inference for biased transformation models. - Xuehu Zhu; Tao Wang 067; Junlong Zhao; Lixing Zhu (Comput. Stat. Data Anal., 2017)

Multiple-population shrinkage estimation via sliced inverse regression. - Tao Wang 067; Xuerong Meggie Wen; Lixing Zhu (Stat. Comput., 2017)

An adaptive-to-model test for partially parametric single-index models. - Xuehu Zhu; Xu Guo; Lixing Zhu (Stat. Comput., 2017)

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)

Pairwise distance-based tests for conditional symmetry. - Cuizhen Niu; Xu Guo; Yong Li; Lixing Zhu (Comput. Stat. Data Anal., 2018)

Generalized principal Hessian directions for mixture multivariate skew elliptical distributions. - Fei Chen 004; Lei Shi; Xuehu Zhu; Lixing Zhu (J. Multivar. Anal., 2018)

Estimating a sparse reduction for general regression in high dimensions. - Tao Wang 067; Mengjie Chen; Hongyu Zhao 003; Lixing Zhu (Stat. Comput., 2018)

Pivotal variable detection of the covariance matrix and its application to high-dimensional factor models. - Junlong Zhao; Hongyu Zhao 003; Lixing Zhu (Stat. Comput., 2018)

Model checking for general linear regression with nonignorable missing response. - Xu Guo; Lianlian Song; Yun Fang; 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)

Estimation for biased partial linear single index models. - Jun Lu; Xuehu Zhu; Lu Lin 002; Lixing Zhu (Comput. Stat. Data Anal., 2019)

A goodness-of-fit test for variable-adjusted models. - Chuanlong Xie; Lixing Zhu (Comput. Stat. Data Anal., 2019)

Hierarchical viewpoint discovery from tweets using Bayesian modelling. - Lixing Zhu; Yulan He 001; Deyu Zhou (Expert Syst. Appl., 2019)

On some characterizations and multidimensional criteria for testing homogeneity, symmetry and independence. - Feifei Chen; Simos G. Meintanis; Lixing Zhu (J. Multivar. Anal., 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)

Neural Temporal Opinion Modelling for Opinion Prediction on Twitter. - Lixing Zhu; Yulan He 001; Deyu Zhou (ACL, 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)

Generalized kernel-based inverse regression methods for sufficient dimension reduction. - Chuanlong Xie; Lixing Zhu (Comput. Stat. Data Anal., 2020)

Dimensionality determination: A thresholding double ridge ratio approach. - Xuehu Zhu; Xu Guo; Tao Wang 067; Lixing Zhu (Comput. Stat. Data Anal., 2020)

Neural opinion dynamics model for the prediction of user-level stance dynamics. - Lixing Zhu; Yulan He 001; Deyu Zhou (Inf. Process. Manag., 2020)

A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings. - Lixing Zhu; Deyu Zhou; Yulan He 001 (Trans. Assoc. Comput. Linguistics, 2020)

Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection. - Lixing Zhu; Gabriele Pergola; Lin Gui 003; Deyu Zhou; Yulan He 001 (ACL/IJCNLP (1), 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)

Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media. - Lixing Zhu; Zheng Fang 011; Gabriele Pergola; Robert Procter; Yulan He 001 (NAACL-HLT, 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)

Disentangling Aspect and Stance via a Siamese Autoencoder for Aspect Clustering of Vaccination Opinions. - Lixing Zhu; Runcong Zhao; Gabriele Pergola; Yulan He 001 (ACL (Findings), 2023)

PANACEA: An Automated Misinformation Detection System on COVID-19. - Runcong Zhao; Miguel Arana-Catania; Lixing Zhu; Elena Kochkina; Lin Gui 003; Arkaitz Zubiaga; Rob Procter; Maria Liakata; Yulan He 001 (EACL (System Demonstrations), 2023)

Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding. - Lixing Zhu; Runcong Zhao; Lin Gui 003; Yulan He 001 (EMNLP (Findings), 2023)

Can Prompt Learning Benefit Radiology Report Generation? - Jun Wang 121; Lixing Zhu; Abhir Bhalerao; Yulan He 001 (CoRR, 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., 2023)

Independence tests with random subspace of two random vectors in high dimension. - Tao Qiu; Wangli Xu; Lixing Zhu (J. Multivar. Anal., 2023)

Order determination for spiked-type models with a divergent number of spikes. - Yicheng Zeng; Lixing Zhu (Comput. Stat. Data Anal., 2023)

Robust estimation in regression and classification methods for large dimensional data. - Chunming Zhang; Lixing Zhu; Yanbo Shen (Mach. Learn., 2023)

NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing. - Runcong Zhao; Wenjia Zhang; Jiazheng Li 002; Lixing Zhu; Yanran Li; Yulan He 001; Lin Gui 003 (AAAI, 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 001 (ACL (1), 2024)

NarrativePlay: Interactive Narrative Understanding. - Runcong Zhao; Wenjia Zhang; Jiazheng Li 002; Lixing Zhu; Yanran Li; Yulan He 001; Lin Gui 003 (EACL (Demonstrations), 2024)

Scene Graph Aided Radiology Report Generation. - Jun Wang 121; Lixing Zhu; Abhir Bhalerao; Yulan He 001 (CoRR, 2024)

Distributed quasi-Newton robust estimation under differential privacy. - Chuhan Wang; Lixing Zhu; Xuehu Zhu (CoRR, 2024)

Tests for high-dimensional generalized linear models under general covariance structure. - Weichao Yang; Xu Guo; Lixing Zhu (Comput. Stat. Data Anal., 2024)

Significance test for semiparametric conditional average treatment effects and other structural functions. - Niwen Zhou; Xu Guo; Lixing Zhu (Comput. Stat. Data Anal., 2024)

Detecting change structures of nonparametric regressions. - Wenbiao Zhao; Lixing Zhu (Comput. Stat. Data Anal., 2024)

The COR criterion for optimal subset selection in distributed estimation. - Guangbao Guo; Haoyue Song; Lixing Zhu (Stat. Comput., 2024)

Correction to: The COR criterion for optimal subset selection in distributed estimation. - Guangbao Guo; Haoyue Song; Lixing Zhu (Stat. Comput., 2024)

LlmLink: Dual LLMs for Dynamic Entity Linking on Long Narratives with Collaborative Memorisation and Prompt Optimisation. - Lixing Zhu; Jun Wang 121; Yulan He 001 (COLING, 2025)

Adaptive-to-sub-null testing for mediation effects in structural equation models. - Jiaqi Huang; Chuyun Ye; Lixing Zhu (Comput. Stat. Data Anal., 2025)

Minimax rates of convergence for sliced inverse regression with differential privacy. - Wenbiao Zhao; Xuehu Zhu; Lixing Zhu (Comput. Stat. Data Anal., 2025)

Improving Medical Visual Representation Learning with Pathological-level Cross-Modal Alignment and Correlation Exploration. - Jun Wang 121; Lixing Zhu; Xiaohan Yu 001; Abhir Bhalerao; Yulan He 001 (CoRR, 2025)

Variable Selection for High-dimensional Cox Model with Error Rate Control. - Baihua He; Hongwei Shi; Xu Guo; Changliang Zou; Lixing Zhu (J. Syst. Sci. Complex., 2025)