Lexin Li

According to our database, Lexin Li authored at least 28 papers between 2004 and 2023.

Collaborative distances:

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

2023

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

Yawen Kang, Zhenghang Chen, Lexin Li, Qian Zhang

Ecol. Informatics, November, 2023

Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies.

Jingfei Zhang, Will Wei Sun, Lexin Li

J. Comput. Graph. Stat., January, 2023

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

Yunzhe Zhou, Chengchun Shi, Lexin Li, Qiwei Yao

CoRR, 2023

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

Xin Zhou, Botao Hao, Jian Kang, Tor Lattimore, Lexin Li

CoRR, 2023

Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach.

Yunzhe Zhou, Zhengling Qi, Chengchun Shi, Lexin Li

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Examining the relationships between carbon emissions and land supply in China.

Lexin Li, Licheng Liu, Zeyao Gu, Zhongxiao Sun, Qian Zhang

Ecol. Informatics, 2022

2021

Double Generative Adversarial Networks for Conditional Independence Testing.

Chengchun Shi, Tianlin Xu, Wicher Bergsma, Lexin Li

J. Mach. Learn. Res., 2021

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

Chengchun Shi, Yunzhe Zhou, Lexin Li

CoRR, 2021

Nonparametric Trace Regression in High Dimensions via Sign Series Representation.

Chanwoo Lee, Lexin Li, Hao Helen Zhang, Miaoyan Wang

CoRR, 2021

2020

Modeling interactive components by coordinate kernel polynomial models.

Xin Guo, Lexin Li, Qiang Wu

Math. Found. Comput., 2020

Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality.

Miaoyan Wang, Lexin Li

J. Mach. Learn. Res., 2020

Image-on-Scalar Regression via Deep Neural Networks.

Daiwei Zhang, Lexin Li, Chandra Sripada, Jian Kang

CoRR, 2020

Partially Observed Dynamic Tensor Response Regression.

Jie Zhou, Will Wei Sun, Jingfei Zhang, Lexin Li

CoRR, 2020

2019

Spatially Adaptive Varying Correlation Analysis for Multimodal Neuroimaging Data.

Lexin Li, Jian Kang, Samuel N. Lockhart, Jenna Adams, William J. Jagust

IEEE Trans. Medical Imaging, 2019

Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks.

Qingyang Wu, He Li, Weijie Su, Lexin Li, Zhou Yu

CoRR, 2019

2017

Tensor Envelope Partial Least-Squares Regression.

Xin Zhang, Lexin Li

Technometrics, 2017

STORE: Sparse Tensor Response Regression and Neuroimaging Analysis.

Will Wei Sun, Lexin Li

J. Mach. Learn. Res., 2017

Scalable Object Detection Using Deep but Lightweight CNN with Features Fusion.

Qiaosong Chen, Shangsheng Feng, Pei Xu, Lexin Li, Ling Zheng, Jin Wang, Xin Deng

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.

Zhou Li, Heung-Il Suk, Dinggang Shen, Lexin Li

IEEE Trans. Medical Imaging, 2016

2012

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

Hongjie Zhu, Lexin Li, Hua Zhou

Bioinform., 2012

2011

Data-driven multi-touch attribution models.

Xuhui Shao, Lexin Li

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2009

Longitudinal data analysis using sufficient dimension reduction method.

Lexin Li, Xiangrong Yin

Comput. Stat. Data Anal., 2009

Exploiting predictor domain information in sufficient dimension reduction.

Lexin Li

Comput. Stat. Data Anal., 2009

2006

Sparse Sliced Inverse Regression.

Lexin Li, Christopher J. Nachtsheim

Technometrics, 2006

Longitudinal data model selection.

Rahman Azari, Lexin Li, Chih-Ling Tsai

Comput. Stat. Data Anal., 2006

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

Lexin Li

Bioinform., 2006

2004

Cluster-based estimation for sufficient dimension reduction.

Lexin Li, R. Dennis Cook, Christopher J. Nachtsheim

Comput. Stat. Data Anal., 2004

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

Lexin Li, Hongzhe Li

Bioinform., 2004