A sparse conditional Gaussian graphical model for analysis of genetical genomics data J Yin, H Li The annals of applied statistics 5 (4), 2630, 2011 | 198 | 2011 |
Model selection and estimation in the matrix normal graphical model J Yin, H Li Journal of multivariate analysis 107, 119-140, 2012 | 104 | 2012 |
Nonparametric covariance model J Yin, Z Geng, R Li, H Wang Statistica Sinica 20, 469, 2010 | 76 | 2010 |
Adjusting for high-dimensional covariates in sparse precision matrix estimation by ℓ1-penalization J Yin, H Li Journal of multivariate analysis 116, 365-381, 2013 | 43 | 2013 |
Partial orientation and local structural learning of causal networks for prediction J Yin, Y Zhou, C Wang, P He, C Zheng, Z Geng Causation and Prediction Challenge, 93-105, 2008 | 37 | 2008 |
Different protein-protein interface patterns predicted by different machine learning methods W Wang, Y Yang, J Yin, X Gong Scientific Reports 7 (1), 16023, 2017 | 22 | 2017 |
Graphical model selection and estimation for high dimensional tensor data S He, J Yin, H Li, X Wang Journal of Multivariate Analysis 128, 165-185, 2014 | 21 | 2014 |
Geometric and amino acid type determinants for protein‐protein interaction interfaces Y Yang, W Wang, Y Lou, J Yin, X Gong Quantitative Biology 6 (2), 163-174, 2018 | 8 | 2018 |
Discover local causal network around a target to a given depth Y Zhou, C Wang, J Yin, Z Geng Causality: Objectives and Assessment, 191-202, 2010 | 6 | 2010 |
A minimax optimal approach to high-dimensional double sparse linear regression Y Zhang, Z Li, J Yin arXiv preprint arXiv:2305.04182, 2023 | 2 | 2023 |
Prediction of Soil Properties in a Field in Typical Black Soil Areas Using in situ MIR Spectra and Its Comparison with vis-NIR Spectra J Yin, Z Shi, B Li, F Sun, T Miao, Z Shi, S Chen, M Yang, W Ji Remote Sensing 15 (8), 2053, 2023 | 2 | 2023 |
Minimax Rates for High-dimensional Double Sparse Structure over ℓq-balls Z Li, Y Zhang, J Yin arXiv preprint arXiv:2207.11888, 2022 | 1 | 2022 |
Sparse Sufficient Dimension Reduction for Markov Blanket Discovery X Li, J Yin Communications in Statistics-Simulation and Computation 45 (4), 1355-1364, 2016 | 1 | 2016 |
Iterative stepwise selection and threshold for learning causes in time series J Yin, S Wang, W Deng, Y Hu, Z Geng Causality: Objectives and Assessment Challenges in Machine Learning, Volume …, 2008 | 1 | 2008 |
Advanced Soil Organic Matter Prediction with a Regional Soil NIR Spectral Library Using Long Short-Term Memory–Convolutional Neural Networks: A Case Study T Miao, W Ji, B Li, X Zhu, J Yin, J Yang, Y Huang, Y Cao, D Yao, X Kong Remote Sensing 16 (7), 1256, 2024 | | 2024 |
Learning conditional dependence graph for concepts via matrix normal graphical model J Lai, J Yin Statistics and Its Interface 17 (2), 187-198, 2024 | | 2024 |
Sharp minimax optimality of LASSO and SLOPE under double sparsity assumption Z Li, Y Zhang, J Yin arXiv preprint arXiv:2308.09548, 2023 | | 2023 |
Comparison of Depth-Specific Prediction of Soil Properties: MIR vs. Vis-NIR Spectroscopy Z Shi, J Yin, B Li, F Sun, T Miao, Y Cao, Z Shi, S Chen, B Hu, W Ji Sensors 23 (13), 5967, 2023 | | 2023 |
Covariate‐adaptive randomization with variable selection in clinical trials H Zhang, F Hu, J Yin Stat 11 (1), e461, 2022 | | 2022 |
Minimax Rates for High-dimensional Double Sparse Structure over -balls Z Li, Y Zhang, J Yin arXiv preprint arXiv:2207.11888, 2022 | | 2022 |