b'Qiang Sun'

research

∙ 09/06/2023

Ensemble linear interpolators: The role of ensembling

Interpolators are unstable. For example, the mininum ℓ_2 norm least squa...

0 Mingqi Wu, et al. ∙

research

∙ 05/30/2023

Fast global convergence of gradient descent for low-rank matrix approximation

This paper investigates gradient descent for solving low-rank matrix app...

0 Hengchao Chen, et al. ∙

research

∙ 05/26/2023

GeoVLN: Learning Geometry-Enhanced Visual Representation with Slot Attention for Vision-and-Language Navigation

Most existing works solving Room-to-Room VLN problem only utilize RGB im...

0 Jingyang Huo, et al. ∙

research

∙ 02/02/2023

Sketched Ridgeless Linear Regression: The Role of Downsampling

Overparametrization often helps improve the generalization performance. ...

0 Xin Chen, et al. ∙

research

∙ 01/30/2023

Quadratic Matrix Factorization with Applications to Manifold Learning

Matrix factorization is a popular framework for modeling low-rank data m...

0 Zheng Zhai, et al. ∙

research

∙ 11/11/2022

Streaming Sparse Linear Regression

Sparse regression has been a popular approach to perform variable select...

0 Shuoguang Yang, et al. ∙

research

∙ 06/17/2022

Local Slot Attention for Vision-and-Language Navigation

Vision-and-language navigation (VLN), a frontier study aiming to pave th...

0 Yifeng Zhuang, et al. ∙

research

∙ 02/22/2022

Distributed Sparse Multicategory Discriminant Analysis

This paper proposes a convex formulation for sparse multicategory linear...

0 Hengchao Chen, et al. ∙

research

∙ 12/16/2021

Helmholtz equation and non-singular boundary elements applied to multi-disciplinary physical problems

The famous scientist Hermann von Helmholtz was born 200 years ago. Many ...

0 Evert Klaseboer, et al. ∙

research

∙ 07/06/2021

A provable two-stage algorithm for penalized hazards regression

From an optimizer's perspective, achieving the global optimum for a gene...

0 Jianqing Fan, et al. ∙

research

∙ 07/06/2021

Distributed Adaptive Huber Regression

Distributed data naturally arise in scenarios involving multiple sources...

0 Jiyu Luo, et al. ∙

research

∙ 06/30/2021

Do we need to estimate the variance in robust mean estimation?

This paper studies robust mean estimators for distributions with only fi...

0 Qiang Sun, et al. ∙

research

∙ 06/30/2021

Adaptive Capped Least Squares

This paper proposes the capped least squares regression with an adaptive...

0 Qiang Sun, et al. ∙

research

∙ 04/27/2021

Including monopoles to a fully desingularized boundary element method for acoustics

The inclusion of domain (point) sources into a three dimensional boundar...

0 Qiang Sun, et al. ∙

research

∙ 04/21/2021

Stable Nonlinear and IQ Imbalance RF Fingerprint for Wireless OFDM Devices

An estimation method of Radio Frequency fingerprint (RFF) based on the p...

0 Honglin Yuan, et al. ∙

research

∙ 03/22/2021

Supervised Principal Component Regression for Functional Response with High Dimensional Predictors

We propose a supervised principal component regression method for relati...

0 Xinyi Zhang, et al. ∙

research

∙ 12/01/2020

Physical Layer Security Enhancement with Reconfigurable Intelligent Surface-Aided Networks

Reconfigurable intelligent surface (RIS)-assisted wireless communication...

0 Jiayi Zhang, et al. ∙

research

∙ 01/17/2020

Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition

Affective computing and cognitive theory are widely used in modern human...

9 Wenxuan Wang, et al. ∙

research

∙ 12/19/2019

Bayesian high-dimensional linear regression with generic spike-and-slab priors

Spike-and-slab priors are popular Bayesian solutions for high-dimensiona...

0 Bai Jiang, et al. ∙

research

∙ 10/14/2019

A unified framework of predicting binary interestingness of images based on discriminant correlation analysis and multiple kernel learning

In the modern content-based image retrieval systems, there is an increas...

0 Qiang Sun, et al. ∙

research

∙ 08/27/2019

Automatic Detection of ECG Abnormalities by using an Ensemble of Deep Residual Networks with Attention

Heart disease is one of the most common diseases causing morbidity and m...

0 Yang Liu, et al. ∙

research

∙ 07/25/2019

A Fine-Grained Facial Expression Database for End-to-End Multi-Pose Facial Expression Recognition

The recent research of facial expression recognition has made a lot of p...

3 Wenxuan Wang, et al. ∙

research

∙ 07/09/2019

Nonconvex Regularized Robust Regression with Oracle Properties in Polynomial Time

This paper investigates tradeoffs among optimization errors, statistical...

3 Xiaoou Pan, et al. ∙

research

∙ 07/08/2019

Modeling Symmetric Positive Definite Matrices with An Application to Functional Brain Connectivity

In neuroscience, functional brain connectivity describes the connectivit...

0 Zhenhua Lin, et al. ∙

research

∙ 06/23/2019

Robust convex clustering: How does fusion penalty enhance robustness?

Convex clustering has gained popularity recently due to its desirable pe...

0 Chenyu Liu, et al. ∙

research

∙ 05/27/2019

Gaussian Approximations for Maxima of Random Vectors under (2+ι)-th Moments

We derive a Gaussian approximation result for the maximum of a sum of ra...

0 Qiang Sun, et al. ∙

research

∙ 04/17/2019

Question Guided Modular Routing Networks for Visual Question Answering

Visual Question Answering (VQA) faces two major challenges: how to bette...

0 Yanze Wu, et al. ∙

research

∙ 03/23/2019

Bayesian Factor-adjusted Sparse Regression

This paper investigates the high-dimensional linear regression with high...

0 Jianqing Fan, et al. ∙

research

∙ 12/31/2018

An Analysis of Classical Multidimensional Scaling

Classical multidimensional scaling is an important tool for dimension re...

0 Anna Little, et al. ∙

research

∙ 11/05/2018

User-Friendly Covariance Estimation for Heavy-Tailed Distributions: A Survey and Recent Results

We offer a survey of selected recent results on covariance estimation fo...

0 Yuan Ke, et al. ∙

research

∙ 11/05/2018

User-Friendly Covariance Estimation for Heavy-Tailed Distributions

We propose user-friendly covariance matrix estimators that are robust ag...

0 Yuan Ke, et al. ∙

research

∙ 10/24/2018

Modified Multidimensional Scaling and High Dimensional Clustering

Multidimensional scaling is an important dimension reduction tool in sta...

0 Xiucai Ding, et al. ∙

research

∙ 10/18/2018

Distributionally Robust Reduced Rank Regression and Principal Component Analysis in High Dimensions

We propose robust sparse reduced rank regression and robust sparse princ...

0 Kean Ming Tan, et al. ∙

research

∙ 10/16/2018

Capacity Enhanced Cooperative D2D Systems over Rayleigh Fading Channels with NOMA

This paper considers the cooperative device-to-device (D2D) systems with...

0 Wei Duan, et al. ∙

research

∙ 05/28/2018

Bernstein's inequality for general Markov chains

We prove a sharp Bernstein inequality for general-state-space and not ne...

0 Bai Jiang, et al. ∙

research

∙ 02/01/2018

Hoeffding's lemma for Markov Chains and its applications to statistical learning

We establish the counterpart of Hoeffding's lemma for Markov dependent r...

0 Jianqing Fan, et al. ∙

research

∙ 01/05/2018

Principal component analysis for big data

Big data is transforming our world, revolutionizing operations and analy...

0 Jianqing Fan, et al. ∙

research

∙ 11/15/2017

FARM-Test: Factor-Adjusted Robust Multiple Testing with False Discovery Control

Large-scale multiple testing with correlated and heavy-tailed data arise...

0 Jianqing Fan, et al. ∙

research

∙ 06/04/2017

Graphical Nonconvex Optimization for Optimal Estimation in Gaussian Graphical Models

We consider the problem of learning high-dimensional Gaussian graphical ...

0 Qiang Sun, et al. ∙

Qiang Sun

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