Partial orientation and local structural learning of causal networks for prediction. - Jianxin Yin 001; You Zhou 001; Changzhang Wang; Ping He; Cheng Zheng; Zhi Geng (WCCI Causation and Prediction Challenge, 2008)

Discover Local Causal Network around a Target to a Given Depth. - You Zhou 001; Changzhang Wang; Jianxin Yin 001; Zhi Geng (NIPS Causality: Objectives and Assessment, 2010)

Model selection and estimation in the matrix normal graphical model. - Jianxin Yin 001; Hongzhe Li (J. Multivar. Anal., 2012)

Adjusting for high-dimensional covariates in sparse precision matrix estimation by ℓ1-penalization. - Jianxin Yin 001; Hongzhe Li (J. Multivar. Anal., 2013)

Graphical model selection and estimation for high dimensional tensor data. - Shiyuan He; Jianxin Yin 001; Hongzhe Li; Xing Wang (J. Multivar. Anal., 2014)

Sparse Sufficient Dimension Reduction for Markov Blanket Discovery. - Xiaomao Li; Jianxin Yin 001 (Commun. Stat. Simul. Comput., 2016)

Geometric and amino acid type determinants for protein-protein interaction interfaces. - Yongxiao Yang; Wei Wang; Yuan Lou; Jianxin Yin 001; Xinqi Gong (Quant. Biol., 2018)

A minimax optimal approach to high-dimensional double sparse linear regression. - Yanhang Zhang; Zhifan Li; Shixiang Liu; Jianxin Yin 001 (J. Mach. Learn. Res., 2024)

Estimating Double Sparse Structures Over ℓu(ℓq) -Balls: Minimax Rates and Phase Transition. - Zhifan Li; Yanhang Zhang; Jianxin Yin 001 (IEEE Trans. Inf. Theory, 2024)

Rethinking Hard Thresholding Pursuit: Full Adaptation and Sharp Estimation. - Yanhang Zhang; Shixiang Liu; Zhifan Li; Xueqin Wang; Jianxin Yin 001 (IEEE Trans. Inf. Theory, 2025)