b'Xiaohui Chen'

research

∙ 07/29/2023

Catching Elusive Depression via Facial Micro-Expression Recognition

Depression is a common mental health disorder that can cause consequenti...

0 Xiaohui Chen, et al. ∙

research

∙ 05/29/2023

Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming

K-means clustering is a widely used machine learning method for identify...

0 Yubo Zhuang, et al. ∙

research

∙ 05/25/2023

Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems

Data subsampling is widely used to speed up the training of large-scale ...

0 Xiaohui Chen, et al. ∙

research

∙ 05/06/2023

Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling

Diffusion-based generative graph models have been proven effective in ge...

0 Xiaohui Chen, et al. ∙

research

∙ 12/03/2022

Interpretable Node Representation with Attribute Decoding

Variational Graph Autoencoders (VGAEs) are powerful models for unsupervi...

0 Xiaohui Chen, et al. ∙

research

∙ 11/19/2022

NVDiff: Graph Generation through the Diffusion of Node Vectors

Learning to generate graphs is challenging as a graph is a set of pairwi...

0 Xiaohui Chen, et al. ∙

research

∙ 09/29/2022

Likelihood adjusted semidefinite programs for clustering heterogeneous data

Clustering is a widely deployed unsupervised learning tool. Model-based ...

0 Yubo Zhuang, et al. ∙

research

∙ 09/28/2022

GeONet: a neural operator for learning the Wasserstein geodesic

Optimal transport (OT) offers a versatile framework to compare complex d...

0 Andrew Gracyk, et al. ∙

research

∙ 09/14/2022

Wasserstein K-means for clustering probability distributions

Clustering is an important exploratory data analysis technique to group ...

0 Yubo Zhuang, et al. ∙

research

∙ 05/16/2022

Mean-Field Nonparametric Estimation of Interacting Particle Systems

This paper concerns the nonparametric estimation problem of the distribu...

0 Rentian Yao, et al. ∙

research

∙ 01/20/2022

Sketch-and-Lift: Scalable Subsampled Semidefinite Program for K-means Clustering

Semidefinite programming (SDP) is a powerful tool for tackling a wide ra...

0 Yubo Zhuang, et al. ∙

research

∙ 09/15/2021

A Framework for Multisensory Foresight for Embodied Agents

Predicting future sensory states is crucial for learning agents such as ...

0 Xiaohui Chen, et al. ∙

research

∙ 06/11/2021

Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation

A graph generative model defines a distribution over graphs. One type of...

0 Xiaohui Chen, et al. ∙

research

∙ 04/27/2021

Central Limit Theorems for High Dimensional Dependent Data

Motivated by statistical inference problems in high-dimensional time ser...

0 Jinyuan Chang, et al. ∙

research

∙ 12/14/2020

GAN Ensemble for Anomaly Detection

When formulated as an unsupervised learning problem, anomaly detection o...

0 Xu Han, et al. ∙

research

∙ 07/21/2020

Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data

This paper concerns the parameter estimation problem for the quadratic p...

0 Xiaohui Chen, et al. ∙

research

∙ 04/07/2020

Scenario analysis of non-pharmaceutical interventions on global COVID-19 transmissions

This paper introduces a dynamic panel SIR (DP-SIR) model to investigate ...

0 Xiaohui Chen, et al. ∙

research

∙ 03/20/2020

Stratified incomplete local simplex tests for curvature of nonparametric multiple regression

Principled nonparametric tests for regression curvature in R^d are often...

0 Yanglei Song, et al. ∙

research

∙ 02/21/2020

A note on Stein equation for weighted sums of independent χ^2 distributions

This note provides the Stein equation for weighted sums of independent χ...

0 Xiaohui Chen, et al. ∙

research

∙ 02/20/2020

Robust M-estimation for Partially Observed Functional Data

Irregular functional data in which densely sampled curves are observed o...

0 Yeonjoo Park, et al. ∙

research

∙ 01/05/2020

Cutoff for exact recovery of Gaussian mixture models

We determine the cutoff value on separation of cluster centers for exact...

0 Xiaohui Chen, et al. ∙

research

∙ 11/14/2019

Estimation of dynamic networks for high-dimensional nonstationary time series

This paper is concerned with the estimation of time-varying networks for...

0 Mengyu Xu, et al. ∙

research

∙ 06/15/2019

An End-to-End Block Autoencoder For Physical Layer Based On Neural Networks

Deep Learning has been widely applied in the area of image processing an...

0 Tianjie Mu, et al. ∙

research

∙ 04/06/2019

A robust bootstrap change point test for high-dimensional location parameter

We consider the problem of change point detection for high-dimensional d...

0 Mengjia Yu, et al. ∙

research

∙ 03/11/2019

Diffusion K-means clustering on manifolds: provable exact recovery via semidefinite relaxations

We introduce the diffusion K-means clustering method on Riemannian subm...

0 Xiaohui Chen, et al. ∙

research

∙ 01/04/2019

Approximating high-dimensional infinite-order U-statistics: statistical and computational guarantees

We study the problem of distributional approximations to high-dimensiona...

0 Yanglei Song, et al. ∙

research

∙ 10/26/2018

Hanson-Wright inequality in Hilbert spaces with application to K-means clustering for non-Euclidean data

We derive a dimensional-free Hanson-Wright inequality for quadratic form...

0 Xiaohui Chen, et al. ∙

research

∙ 04/08/2018

TCP Decoupling for Next Generation Communication System

In traditional networks, interfaces of network nodes are duplex. But, em...

0 Xiaohui Chen, et al. ∙

research

∙ 03/01/2018

Rate Loss of Hybrid Beamforming with Imperfect Phase Shifters in Millimeter Wave Systems

In millimeter massive MIMO systems, hybrid beamforming algorithms with f...

0 Wendi Wang, et al. ∙

research

∙ 01/12/2018

Comprehensive Optimization of Parametric Kernels for Graphics Processing Units

This work deals with the optimization of computer programs targeting Gra...

0 Xiaohui Chen, et al. ∙

research

∙ 12/03/2017

Randomized incomplete U-statistics in high dimensions

This paper studies inference for the mean vector of a high-dimensional U...

0 Xiaohui Chen, et al. ∙

research

∙ 11/23/2017

Finite sample change point inference and identification for high-dimensional mean vectors

Cumulative sum (CUSUM) statistics are widely used in the change point in...

0 Mengjia Yu, et al. ∙

Xiaohui Chen

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