2025
Variable Selection for High-dimensional Cox Model with Error Rate Control.
J. Syst. Sci. Complex., June, 2025
Minimax rates of convergence for sliced inverse regression with differential privacy.
Comput. Stat. Data Anal., 2025
Adaptive-to-sub-null testing for mediation effects in structural equation models.
Comput. Stat. Data Anal., 2025
LlmLink: Dual LLMs for Dynamic Entity Linking on Long Narratives with Collaborative Memorisation and Prompt Optimisation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Correction to: The COR criterion for optimal subset selection in distributed estimation.
Stat. Comput., December, 2024
The COR criterion for optimal subset selection in distributed estimation.
Stat. Comput., October, 2024
Detecting change structures of nonparametric regressions.
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
Distributed quasi-Newton robust estimation under differential privacy.
CoRR, 2024
Scene Graph Aided Radiology Report Generation.
CoRR, 2024
NarrativePlay: Interactive Narrative Understanding.
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
Order determination for spiked-type models with a divergent number of spikes.
Comput. Stat. Data Anal., June, 2023
Independence tests with random subspace of two random vectors in high dimension.
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
Can Prompt Learning Benefit Radiology Report Generation?
CoRR, 2023
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
PANACEA: An Automated Misinformation Detection System on COVID-19.
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
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection.
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
Neural opinion dynamics model for the prediction of user-level stance dynamics.
Inf. Process. Manag., 2020
Dimensionality determination: A thresholding double ridge ratio approach.
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
Neural Temporal Opinion Modelling for Opinion Prediction on Twitter.
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
Hierarchical viewpoint discovery from tweets using Bayesian modelling.
Expert Syst. Appl., 2019
A goodness-of-fit test for variable-adjusted models.
Comput. Stat. Data Anal., 2019
Estimation for biased partial linear single index models.
Comput. Stat. Data Anal., 2019
Model checking for regressions: An approach bridging between local smoothing and global smoothing methods.
Comput. Stat. Data Anal., 2019
Model checking for general linear regression with nonignorable missing response.
Comput. Stat. Data Anal., 2019
2018
Pivotal variable detection of the covariance matrix and its application to high-dimensional factor models.
Stat. Comput., 2018
Estimating a sparse reduction for general regression in high dimensions.
Stat. Comput., 2018
Generalized principal Hessian directions for mixture multivariate skew elliptical distributions.
J. Multivar. Anal., 2018
Pairwise distance-based tests for conditional symmetry.
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
An adaptive-to-model test for partially parametric single-index models.
Stat. Comput., 2017
Multiple-population shrinkage estimation via sliced inverse regression.
Stat. Comput., 2017
Inference for biased transformation models.
Comput. Stat. Data Anal., 2017
2016
Group-wise semiparametric modeling: A SCSE approach.
J. Multivar. Anal., 2016
Inference for biased models: A quasi-instrumental variable approach.
J. Multivar. Anal., 2016
The Dual Central Subspaces in dimension reduction.
J. Multivar. Anal., 2016
Asymtotics of Dantzig selector for a general single-index model.
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
Heteroscedasticity checks for single index models.
J. Multivar. Anal., 2015
Robust estimating equation-based sufficient dimension reduction.
J. Multivar. Anal., 2015
Inference for mixed models of ANOVA type with high-dimensional data.
J. Multivar. Anal., 2015
Functional Nonlinear Mixed Effects Models for Longitudinal Image Data.
Proceedings of the Information Processing in Medical Imaging, 2015
2014
Multi-index regression models with missing covariates at random.
J. Multivar. Anal., 2014
Transformation-based model averaged tail area inference.
Comput. Stat., 2014
Empirical likelihood inference in linear regression with nonignorable missing response.
Comput. Stat. Data Anal., 2014
Dimension reduction with missing response at random.
Comput. Stat. Data Anal., 2014
Transformation-based estimation.
Comput. Stat. Data Anal., 2014
2013
Sparse sufficient dimension reduction using optimal scoring.
Comput. Stat. Data Anal., 2013
Nonparametric feature screening.
Comput. Stat. Data Anal., 2013
Automatic variable selection for longitudinal generalized linear models.
Comput. Stat. Data Anal., 2013
2012
On a dimension reduction regression with covariate adjustment.
J. Multivar. Anal., 2012
Nonlinear models with measurement errors subject to single-indexed distortion.
J. Multivar. Anal., 2012
On model-free conditional coordinate tests for regressions.
J. Multivar. Anal., 2012
Estimation for a marginal generalized single-index longitudinal model.
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
Sufficient dimension reduction in regressions through cumulative Hessian directions.
Stat. Comput., 2011
Consistent tuning parameter selection in high dimensional sparse linear regression.
J. Multivar. Anal., 2011
2010
Bias-corrected empirical likelihood in a multi-link semiparametric model.
J. Multivar. Anal., 2010
Adaptive confidence region for the direction in semiparametric regressions.
J. Multivar. Anal., 2010
Empirical likelihood inference in partially linear single-index models for longitudinal data.
J. Multivar. Anal., 2010
On an asymptotically more efficient estimation of the single-index model.
J. Multivar. Anal., 2010
A sparse eigen-decomposition estimation in semiparametric regression.
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
Influence diagnostics and outlier tests for varying coefficient mixed models.
J. Multivar. Anal., 2009
2007
On hybrid methods of inverse regression-based algorithms.
Comput. Stat. Data Anal., 2007