Area of research
Computational Mechanics · Statistics and Probability
Research interest
Research interests include Estimator, Mathematics, Lasso (programming language), Elastic net regularization, Mean squared error, and Computer science.
Nonuniform Sampling Pattern Design for Compressed Spectrum Sensing in Mobile Cognitive Radio Networks
Slow Kill for Big Data Learning
On Generalization and Computation of Tukey's Depth: Part II
Supervised Multivariate Learning with Simultaneous Feature Auto-Grouping and Dimension Reduction
On Generalization and Computation of Tukey's Depth: Part I
Analysis of generalized Bregman surrogate algorithms for nonsmooth nonconvex statistical learning
Network Pruning via Annealing and Direct Sparsity Control
Gaining Outlier Resistance With Progressive Quantiles: Fast Algorithms and Theoretical Studies
Indirect Gaussian Graph Learning Beyond Gaussianity
On Cross-Validation for Sparse Reduced Rank Regression
Iterative Proportional Scaling Revisited: A Modern Optimization Perspective
Discovering stock chart patterns by statistical estimation and inference
On Cross-validation for Sparse Reduced Rank Regression
Reinforced Robust Principal Component Pursuit
Feature Selection with Annealing for Computer Vision and Big Data Learning
Group Regularized Estimation Under Structural Hierarchy
Selective factor extraction in high dimensions
On the finite-sample analysis of $\Theta$-estimators
Sparse generalized principal component analysis for large-scale applications beyond Gaussianity
Indirect Gaussian Graph Learning beyond Gaussianity
Why Deep Learning Works: A Manifold Disentanglement Perspective
Robust Reduced Rank Regression
Sparse Generalized Principal Component Analysis for Large-scale Applications beyond Gaussianity
Learning Topology and Dynamics of Large Recurrent Neural Networks
Joint Association Graph Screening and Decomposition for Large-Scale Linear Dynamical Systems
Group Regularized Estimation under Structural Hierarchy
The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms
A comparison of typical ℓ minimization algorithms
Reduced rank vector generalized linear models for feature extraction
Group Iterative Spectrum Thresholding for Super-Resolution Sparse Spectral Selection