Lexin Li

Orcid: 0000-0001-5574-7249

According to our database1, Lexin Li authored at least 33 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Functional Directed Acyclic Graphs.
J. Mach. Learn. Res., 2024

Post-Regularization Confidence Bands for Ordinary Differential Equations.
J. Mach. Learn. Res., 2024

Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference.
CoRR, 2024

Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalance.
CoRR, 2024

2023
Construction of multidimensional features to identify tea plantations using multisource remote sensing data: A case study of Hangzhou city, China.
Ecol. Informatics, November, 2023

Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies.
J. Comput. Graph. Stat., January, 2023

Testing for the Markov Property in Time Series via Deep Conditional Generative Learning.
CoRR, 2023

Sequential Best-Arm Identification with Application to Brain-Computer Interface.
CoRR, 2023

A generalized method for dynamic noise inference in modeling sequential decision-making.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Examining the relationships between carbon emissions and land supply in China.
Ecol. Informatics, 2022

2021
Double Generative Adversarial Networks for Conditional Independence Testing.
J. Mach. Learn. Res., 2021

Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning.
CoRR, 2021

Nonparametric Trace Regression in High Dimensions via Sign Series Representation.
CoRR, 2021

2020
Modeling interactive components by coordinate kernel polynomial models.
Math. Found. Comput., 2020

Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality.
J. Mach. Learn. Res., 2020

Image-on-Scalar Regression via Deep Neural Networks.
CoRR, 2020

Partially Observed Dynamic Tensor Response Regression.
CoRR, 2020

2019
Spatially Adaptive Varying Correlation Analysis for Multimodal Neuroimaging Data.
IEEE Trans. Medical Imaging, 2019

Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks.
CoRR, 2019

2017
Tensor Envelope Partial Least-Squares Regression.
Technometrics, 2017

STORE: Sparse Tensor Response Regression and Neuroimaging Analysis.
J. Mach. Learn. Res., 2017

Scalable Object Detection Using Deep but Lightweight CNN with Features Fusion.
Proceedings of the Image and Graphics - 9th International Conference, 2017

2016
Sparse Multi-Response Tensor Regression for Alzheimer's Disease Study With Multivariate Clinical Assessments.
IEEE Trans. Medical Imaging, 2016

2012
Nonlinear dimension reduction with Wright-Fisher kernel for genotype aggregation and association mapping.
Bioinform., 2012

2011
Data-driven multi-touch attribution models.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2009
Longitudinal data analysis using sufficient dimension reduction method.
Comput. Stat. Data Anal., 2009

Exploiting predictor domain information in sufficient dimension reduction.
Comput. Stat. Data Anal., 2009

2006
Sparse Sliced Inverse Regression.
Technometrics, 2006

Longitudinal data model selection.
Comput. Stat. Data Anal., 2006

Survival prediction of diffuse large-B-cell lymphoma based on both clinical and gene expression information.
Bioinform., 2006

2004
Cluster-based estimation for sufficient dimension reduction.
Comput. Stat. Data Anal., 2004

Dimension reduction methods for microarrays with application to censored survival data.
Bioinform., 2004


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