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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...
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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...
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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...
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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...
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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...
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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...
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03/06/2023
Huber Principal Component Analysis for Large-dimensional Factor Models
Factor models have been widely used in economics and finance. However, t...
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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...
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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...
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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...
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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'...
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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 ...
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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...
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04/29/2022
Distributed Learning for Principle Eigenspaces without Moment Constraints
Distributed Principal Component Analysis (PCA) has been studied to deal ...
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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...
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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...
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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...
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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...
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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...
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10/03/2021
Vector or Matrix Factor Model? A Strong Rule Helps!
This paper investigates the issue of determining the dimensions of row a...
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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...
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03/26/2021
MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes
Deepfakes raised serious concerns on the authenticity of visual contents...
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03/09/2021
Deep Learning based 3D Segmentation: A Survey
3D object segmentation is a fundamental and challenging problem in compu...
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12/18/2020
Self-supervised Learning with Fully Convolutional Networks
Although deep learning based methods have achieved great success in many...
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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...
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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...
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03/23/2020
Projected Estimation for Large-dimensional Matrix Factor Models
Large-dimensional factor models are drawing growing attention and widely...
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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...
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12/10/2019
Appending Adversarial Frames for Universal Video Attack
There have been many efforts in attacking image classification models wi...
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08/14/2019
Large-dimensional Factor Analysis without Moment Constraints
Large-dimensional factor model has drawn much attention in the big-data ...
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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...
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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...
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08/26/2018
Doubly Robust Sure Screening for Elliptical Copula Regression Model
Regression analysis has always been a hot research topic in statistics. ...
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03/30/2016