Runze Li | DeepAI

DeepAI

Featured Co-authors

Zhaoran Wang
110 publications
Yi Xu
80 publications
Yining Wang
52 publications
Yi Chen
42 publications
Chen Xu
34 publications
Ziyan Wu
33 publications
Terrence Chen
32 publications
Pan Ji
27 publications
Xu Guo
26 publications
Srikrishna Karanam
23 publications
Yanyuan Ma
21 publications

∙ 12/05/2022

Generalized Varying Coefficient Mediation Models

Motivated by an analysis of causal mechanism from economic stress to ent...

Jingyuan Liu, et al. ∙

∙ 07/18/2022

MonoIndoor++:Towards Better Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments

Self-supervised monocular depth estimation has seen significant progress...

Runze Li, et al. ∙

∙ 03/27/2022

Invariance principle and CLT for the spiked eigenvalues of large-dimensional Fisher matrices and applications

This paper aims to derive asymptotical distributions of the spiked eigen...

Dandan Jiang, et al. ∙

∙ 02/14/2022

Causal Structural Learning on MPHIA Individual Dataset

The Population-based HIV Impact Assessment (PHIA) is an ongoing project ...

Le Bao, et al. ∙

∙ 12/07/2021

A causal approach to functional mediation analysis with application to a smoking cessation intervention

The increase in the use of mobile and wearable devices now allow dense a...

Donna L. Coffman, et al. ∙

∙ 10/29/2021

Multiple-Splitting Projection Test for High-Dimensional Mean Vectors

We propose a multiple-splitting projection test (MPT) for one-sample mea...

Wanjun Liu, et al. ∙

∙ 09/30/2021

Power-enhanced simultaneous test of high-dimensional mean vectors and covariance matrices with application to gene-set testing

Power-enhanced tests with high-dimensional data have received growing at...

Xiufan Yu, et al. ∙

∙ 08/27/2021

Statistical Inference for Linear Mediation Models with High-dimensional Mediators and Application to Studying Stock Reaction to COVID-19 Pandemic

Mediation analysis draws increasing attention in many scientific areas s...

Xu Guo, et al. ∙

∙ 08/17/2021

Transferring Knowledge with Attention Distillation for Multi-Domain Image-to-Image Translation

Gradient-based attention modeling has been used widely as a way to visua...

Runze Li, et al. ∙

∙ 07/27/2021

Learning Local Recurrent Models for Human Mesh Recovery

We consider the problem of estimating frame-level full human body meshes...

Runze Li, et al. ∙

∙ 07/26/2021

MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments

Self-supervised depth estimation for indoor environments is more challen...

Pan Ji, et al. ∙

∙ 06/22/2021

Doubly Robust Feature Selection with Mean and Variance Outlier Detection and Oracle Properties

We propose a general approach to handle data contaminations that might d...

Luca Insolia, et al. ∙

∙ 05/17/2021

A Distribution Free Conditional Independence Test with Applications to Causal Discovery

This paper is concerned with test of the conditional independence. We fi...

Zhanrui Cai, et al. ∙

∙ 04/12/2021

Probabilistic HIV Recency Classification – A Logistic Regression without Labeled Individual Level Training Data

Accurate HIV incidence estimation based on individual recent infection s...

Ben Sheng, et al. ∙

∙ 10/05/2020

Learning the aerodynamic design of supercritical airfoils through deep reinforcement learning

The aerodynamic design of modern civil aircraft requires a true sense of...

Runze Li, et al. ∙

∙ 09/04/2020

Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection

We consider the stochastic contextual bandit problem under the high dime...

Yining Wang, et al. ∙

∙ 08/26/2020

Estimation and Inference for the Mediation Effect in a Time-varying Mediation Model

Traditional mediation analysis typically examines the relations among an...

Xizhen Cai, et al. ∙

∙ 06/23/2020

A Robust Consistent Information Criterion for Model Selection based on Empirical Likelihood

Conventional likelihood-based information criteria for model selection r...

Chixiang Chen, et al. ∙

∙ 02/28/2020

A New Procedure for Controlling False Discovery Rate in Large-Scale t-tests

This paper is concerned with false discovery rate (FDR) control in large...

Changliang Zou, et al. ∙

∙ 01/28/2020

Inference in High-Dimensional Linear Measurement Error Models

For a high-dimensional linear model with a finite number of covariates m...

Mengyan Li, et al. ∙

∙ 12/13/2019

Central Limit Theorem for Linear Spectral Statistics of Large Dimensional Kendall's Rank Correlation Matrices and its Applications

This paper is concerned with the limiting spectral behaviors of large di...

Zeng Li, et al. ∙

∙ 11/18/2019

Towards Visually Explaining Variational Autoencoders

Recent advances in Convolutional Neural Network (CNN) model interpretabi...

Wenqian Liu, et al. ∙

∙ 08/19/2019

Model-free Feature Screening and FDR Control with Knockoff Features

This paper proposes a model-free and data-adaptive feature screening met...

Wanjun Liu, et al. ∙

∙ 08/19/2019

Model-free Feature Screening with Projection Correlation and FDR Control with Knockoff Features

This paper proposes a model-free and data-adaptive feature screening met...

Wanjun Liu, et al. ∙

∙ 03/09/2019

Distributed Feature Screening via Componentwise Debiasing

Feature screening is a powerful tool in the analysis of high dimensional...

Xingxiang Li, et al. ∙

∙ 05/05/2015

On the Feasibility of Distributed Kernel Regression for Big Data

In modern scientific research, massive datasets with huge numbers of obs...

Yongquan Zhang, et al. ∙