Qinglong Yang
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View article: Microstructural Evolution Mechanism and Mechanical Performance of Nanocrystallized Surface Induced by High-Strain-Rate Plastic Deformation
Microstructural Evolution Mechanism and Mechanical Performance of Nanocrystallized Surface Induced by High-Strain-Rate Plastic Deformation Open
View article: Enhancing the Spectator Experience: Dynamic VR Camera and Broadcasting Playbacks Design
Enhancing the Spectator Experience: Dynamic VR Camera and Broadcasting Playbacks Design Open
View article: Doubly Robust Triple Cross-Fit Estimation for Causal Inference with Imaging Data
Doubly Robust Triple Cross-Fit Estimation for Causal Inference with Imaging Data Open
This paper develops a novel doubly robust triple cross-fit estimator to estimate the average treatment effect (ATE) using observational and imaging data. The construction of the proposed estimator consists of two stages. The first stage ex…
View article: Perceive, Reflect, and Plan: Designing LLM Agent for Goal-Directed City Navigation without Instructions
Perceive, Reflect, and Plan: Designing LLM Agent for Goal-Directed City Navigation without Instructions Open
This paper considers a scenario in city navigation: an AI agent is provided with language descriptions of the goal location with respect to some well-known landmarks; By only observing the scene around, including recognizing landmarks and …
View article: Statistical inference for proportional mean residual life model with continuous auxiliary covariate
Statistical inference for proportional mean residual life model with continuous auxiliary covariate Open
In many statistical studies involving failure data, the main covariate is only measured in a validation set due to financial and technical restriction, while some auxiliary information for the main covariate is collected for the full cohor…
View article: SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties
SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties Open
We propose a semismooth Newton algorithm for pathwise optimization (SNAP) for the LASSO and Enet in sparse, high-dimensional linear regression. SNAP is derived from a suitable formulation of the KKT conditions based on Newton derivatives. …
View article: A Semi-Smooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning
A Semi-Smooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning Open
The smoothly clipped absolute deviation (SCAD) and the minimax concave penalty (MCP) penalized regression models are two important and widely used nonconvex sparse learning tools that can handle variable selection and parameter estimation …
View article: Semi-Smooth Newton Algorithm for Non-Convex Penalized Linear Regression
Semi-Smooth Newton Algorithm for Non-Convex Penalized Linear Regression Open
Both the smoothly clipped absolute deviation (SCAD) and the minimax concave
penalty (MCP) penalized linear regression models are capable of dealing with
variable selection and parameter estimation simultaneously. Theoretically,
these two m…