Lexin Li

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 24

Top Topics

Tensor Decomposition

Markov Property

Conditional Independencies

Directed Acyclic Graph

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Medical Imaging

Ecol. Informatics

Publications

Ryumei Nakada, Yichen Xu, Lexin Li, Linjun Zhang
Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalance. CoRR (2024)
Yunzhe Zhou, Chengchun Shi, Lexin Li, Qiwei Yao
Testing for the Markov Property in Time Series via Deep Conditional Generative Learning. CoRR (2023)
Jingfei Zhang, Will Wei Sun, Lexin Li
Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies. J. Comput. Graph. Stat. 32 (1) (2023)
Yawen Kang, Zhenghang Chen, Lexin Li, Qian Zhang
Construction of multidimensional features to identify tea plantations using multisource remote sensing data: A case study of Hangzhou city, China. Ecol. Informatics 77 (2023)
Xin Zhou, Botao Hao, Jian Kang, Tor Lattimore, Lexin Li
Sequential Best-Arm Identification with Application to Brain-Computer Interface. CoRR (2023)
Jing-Jing Li, Chengchun Shi, Lexin Li, Anne G. E. Collins
A generalized method for dynamic noise inference in modeling sequential decision-making. CogSci (2023)
Yunzhe Zhou, Zhengling Qi, Chengchun Shi, Lexin Li
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach. AISTATS (2023)
Yunzhe Zhou, Zhengling Qi, Chengchun Shi, Lexin Li
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach. CoRR (2022)
Lexin Li, Licheng Liu, Zeyao Gu, Zhongxiao Sun, Qian Zhang
Examining the relationships between carbon emissions and land supply in China. Ecol. Informatics 70 (2022)
Chengchun Shi, Tianlin Xu, Wicher Bergsma, Lexin Li
Double Generative Adversarial Networks for Conditional Independence Testing. J. Mach. Learn. Res. 22 (2021)
Chanwoo Lee, Lexin Li, Hao Helen Zhang, Miaoyan Wang
Nonparametric Trace Regression in High Dimensions via Sign Series Representation. CoRR (2021)
Chengchun Shi, Yunzhe Zhou, Lexin Li
Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning. CoRR (2021)
Jie Zhou, Will Wei Sun, Jingfei Zhang, Lexin Li
Partially Observed Dynamic Tensor Response Regression. CoRR (2020)
Xin Guo, Lexin Li, Qiang Wu
Modeling interactive components by coordinate kernel polynomial models. Math. Found. Comput. 3 (4) (2020)
Daiwei Zhang, Lexin Li, Chandra Sripada, Jian Kang
Image-on-Scalar Regression via Deep Neural Networks. CoRR (2020)
Miaoyan Wang, Lexin Li
Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality. J. Mach. Learn. Res. 21 (2020)
Chengchun Shi, Tianlin Xu, Wicher Bergsma, Lexin Li
Double Generative Adversarial Networks for Conditional Independence Testing. CoRR (2020)
Qingyang Wu, He Li, Weijie Su, Lexin Li, Zhou Yu
Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks. CoRR (2019)
Lexin Li, Jian Kang, Samuel N. Lockhart, Jenna Adams, William J. Jagust
Spatially Adaptive Varying Correlation Analysis for Multimodal Neuroimaging Data. IEEE Trans. Medical Imaging 38 (1) (2019)
Miaoyan Wang, Lexin Li
Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality. CoRR (2018)
Will Wei Sun, Lexin Li
STORE: Sparse Tensor Response Regression and Neuroimaging Analysis. J. Mach. Learn. Res. 18 (2017)
Qiaosong Chen, Shangsheng Feng, Pei Xu, Lexin Li, Ling Zheng, Jin Wang, Xin Deng
Scalable Object Detection Using Deep but Lightweight CNN with Features Fusion. ICIG (1) (2017)
Xin Zhang, Lexin Li
Tensor Envelope Partial Least-Squares Regression. Technometrics 59 (4) (2017)
Zhou Li, Heung-Il Suk, Dinggang Shen, Lexin Li
Sparse Multi-Response Tensor Regression for Alzheimer's Disease Study With Multivariate Clinical Assessments. IEEE Trans. Medical Imaging 35 (8) (2016)
Hongjie Zhu, Lexin Li, Hua Zhou
Nonlinear dimension reduction with Wright-Fisher kernel for genotype aggregation and association mapping. Bioinform. 28 (18) (2012)
Xuhui Shao, Lexin Li
Data-driven multi-touch attribution models. KDD (2011)
Lexin Li
Exploiting predictor domain information in sufficient dimension reduction. Comput. Stat. Data Anal. 53 (7) (2009)
Lexin Li, Xiangrong Yin
Longitudinal data analysis using sufficient dimension reduction method. Comput. Stat. Data Anal. 53 (12) (2009)
Lexin Li
Survival prediction of diffuse large-B-cell lymphoma based on both clinical and gene expression information. Bioinform. 22 (4) (2006)
Lexin Li, Christopher J. Nachtsheim
Sparse Sliced Inverse Regression. Technometrics 48 (4) (2006)
Rahman Azari, Lexin Li, Chih-Ling Tsai
Longitudinal data model selection. Comput. Stat. Data Anal. 50 (11) (2006)
Lexin Li, Hongzhe Li
Dimension reduction methods for microarrays with application to censored survival data. Bioinform. 20 (18) (2004)
Lexin Li, R. Dennis Cook, Christopher J. Nachtsheim
Cluster-based estimation for sufficient dimension reduction. Comput. Stat. Data Anal. 47 (1) (2004)