b'Yong He'

research

∙ 08/31/2023

AntM^2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction

Click-through rate (CTR) prediction is a crucial issue in recommendation...

0 ZhaoXin Huan, et al. ∙

research

∙ 06/07/2023

Transfer Learning for General M-estimators with Decomposable Regularizers in High-dimensions

To incorporate useful information from related statistical tasks into th...

0 Zeyu Li, et al. ∙

research

∙ 06/05/2023

Robust Statistical Inference for Large-dimensional Matrix-valued Time Series via Iterative Huber Regression

Matrix factor model is drawing growing attention for simultaneous two-wa...

0 Yong He, et al. ∙

research

∙ 03/31/2023

Robust estimation of large factor models for tensor-valued time series

In this paper, we consider inference in the context of a factor model fo...

0 Matteo Barigozzi, et al. ∙

research

∙ 03/08/2023

DANet: Density Adaptive Convolutional Network with Interactive Attention for 3D Point Clouds

Local features and contextual dependencies are crucial for 3D point clou...

0 Yong He, et al. ∙

research

∙ 03/08/2023

Full Point Encoding for Local Feature Aggregation in 3D Point Clouds

Point cloud processing methods exploit local point features and global c...

0 Yong He, et al. ∙

research

∙ 03/06/2023

Huber Principal Component Analysis for Large-dimensional Factor Models

Factor models have been widely used in economics and finance. However, t...

0 Yong He, et al. ∙

research

∙ 01/31/2023

GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning

Multi-task learning (MTL) aims at solving multiple related tasks simulta...

0 Xin Dong, et al. ∙

research

∙ 01/01/2023

Iterative Least Squares Algorithm for Large-dimensional Matrix Factor Model by Random Projection

The matrix factor model has drawn growing attention for its advantage in...

0 Yong He, et al. ∙

research

∙ 10/08/2022

KG-MTT-BERT: Knowledge Graph Enhanced BERT for Multi-Type Medical Text Classification

Medical text learning has recently emerged as a promising area to improv...

0 Yong He, et al. ∙

research

∙ 07/20/2022

Matrix Kendall's tau in High-dimensions: A Robust Statistic for Matrix Factor Model

In this article, we first propose generalized row/column matrix Kendall'...

0 Yong He, et al. ∙

research

∙ 06/27/2022

PST: Plant Segmentation Transformer Enhanced Phenotyping of MLS Oilseed Rape Point Cloud

Segmentation of plant point clouds to obtain high-precise morphological ...

0 Ruiming Du, et al. ∙

research

∙ 06/20/2022

Statistical Inference for Large-dimensional Tensor Factor Model by Weighted/Unweighted Projection

Tensor Factor Models (TFM) are appealing dimension reduction tools for h...

0 Yong He, et al. ∙

research

∙ 04/29/2022

Distributed Learning for Principle Eigenspaces without Moment Constraints

Distributed Principal Component Analysis (PCA) has been studied to deal ...

0 Yong He, et al. ∙

research

∙ 03/26/2022

Manifold Principle Component Analysis for Large-Dimensional Matrix Elliptical Factor Model

Matrix factor model has been growing popular in scientific fields such a...

0 Zeyu Li, et al. ∙

research

∙ 12/27/2021

Online Change-point Detection for Matrix-valued Time Series with Latent Two-way Factor Structure

This paper proposes a novel methodology for the online detection of chan...

0 Yong He, et al. ∙

research

∙ 12/26/2021

Transfer Learning in High-dimensional Semi-parametric Graphical Models with Application to Brain Connectivity Analysis

Transfer learning has drawn growing attention with the target of improvi...

0 Yong He, et al. ∙

research

∙ 12/08/2021

Statistical Inference for Large-dimensional Matrix Factor Model from Least Squares and Huber Loss Points of View

In the article we focus on large-dimensional matrix factor models and pr...

0 Yong He, et al. ∙

research

∙ 10/09/2021

Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-variate fMRI Data

Graphical models play an important role in neuroscience studies, particu...

0 Dong Liu, et al. ∙

research

∙ 10/03/2021

Vector or Matrix Factor Model? A Strong Rule Helps!

This paper investigates the issue of determining the dimensions of row a...

0 Yong He, et al. ∙

research

∙ 06/07/2021

Joint Learning of Multiple Differential Networks with fMRI data for Brain Connectivity Alteration Detection

In this study we focus on the problem of joint learning of multiple diff...

0 Hao Chen, et al. ∙

research

∙ 03/26/2021

MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes

Deepfakes raised serious concerns on the authenticity of visual contents...

0 Zhikai Chen, et al. ∙

research

∙ 03/09/2021

Deep Learning based 3D Segmentation: A Survey

3D object segmentation is a fundamental and challenging problem in compu...

0 Yong He, et al. ∙

research

∙ 12/18/2020

Self-supervised Learning with Fully Convolutional Networks

Although deep learning based methods have achieved great success in many...

0 Zhengeng Yang, et al. ∙

research

∙ 07/08/2020

Enable an Open Software Defined Mobility Ecosystem through VEC-OF

OEMs and new entrants can take the Mobility as a Service market (MaaS) a...

0 Sanchu Han, et al. ∙

research

∙ 04/20/2020

Robust Covariance Estimation for High-dimensional Compositional Data with Application to Microbial Communities Analysis

Microbial communities analysis is drawing growing attention due to the r...

0 Yong He, et al. ∙

research

∙ 03/23/2020

Projected Estimation for Large-dimensional Matrix Factor Models

Large-dimensional factor models are drawing growing attention and widely...

0 Long Yu, et al. ∙

research

∙ 01/29/2020

Network-Assisted Estimation for Large-dimensional Factor Model with Guaranteed Convergence Rate Improvement

Network structure is growing popular for capturing the intrinsic relatio...

0 Long Yu, et al. ∙

research

∙ 12/10/2019

Appending Adversarial Frames for Universal Video Attack

There have been many efforts in attacking image classification models wi...

34 Zhikai Chen, et al. ∙

research

∙ 08/14/2019

Large-dimensional Factor Analysis without Moment Constraints

Large-dimensional factor model has drawn much attention in the big-data ...

0 Yong He, et al. ∙

research

∙ 10/21/2018

High-dimensional Two-sample Precision Matrices Test: An Adaptive Approach through Multiplier Bootstrap

Precision matrix, which is the inverse of covariance matrix, plays an im...

0 Mingjuan Zhang, et al. ∙

research

∙ 08/28/2018

Robust Factor Number Specification for Large-dimensional Factor Model

The accurate specification of the number of factors is critical to the v...

0 Long Yu, et al. ∙

research

∙ 08/26/2018

Doubly Robust Sure Screening for Elliptical Copula Regression Model

Regression analysis has always been a hot research topic in statistics. ...

0 Yong He, et al. ∙

research

∙ 03/30/2016

Model Interpolation with Trans-dimensional Random Field Language Models for Speech Recognition

The dominant language models (LMs) such as n-gram and neural network (NN...

0 Bin Wang, et al. ∙

Yong He

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