Yunpeng Zhao | DeepAI

AI Chat

Featured Co-authors

Yue Wang
263 publications
Bo Liu
167 publications
Feng Wang
90 publications
Bin Guo
36 publications
Jiang Bian
36 publications
Elizaveta Levina
34 publications
Ji Zhu
32 publications
Yi Guo
29 publications
Haiyan Wang
25 publications
Ning Hao
11 publications
Zhe He
11 publications

∙ 08/08/2023

Multiple Testing of Local Extrema for Detection of Structural Breaks in Piecewise Linear Models

In this paper, we propose a new generic method for detecting the number ...

0 Zhibing He, et al. ∙

∙ 08/04/2023

Network Inference Using the Hub Model and Variants

Statistical network analysis primarily focuses on inferring the paramete...

0 Zhibing He, et al. ∙

∙ 11/11/2022

Spatial Temporal Graph Convolution with Graph Structure Self-learning for Early MCI Detection

Graph neural networks (GNNs) have been successfully applied to early mil...

0 Yunpeng Zhao, et al. ∙

∙ 06/16/2022

Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks

Biclustering on bipartite graphs is an unsupervised learning task that s...

0 Yunpeng Zhao, et al. ∙

∙ 06/16/2022

Adaptive Algorithm for Quantum Amplitude Estimation

Quantum amplitude estimation is a key sub-routine of a number of quantum...

0 Yunpeng Zhao, et al. ∙

∙ 06/23/2021

An Effective Bernstein-type Bound on Shannon Entropy over Countably Infinite Alphabets

We prove a Bernstein-type bound for the difference between the average o...

0 Yunpeng Zhao, et al. ∙

∙ 07/09/2020

On Optimal Uniform Concentration Inequalities for Discrete Entropies in the High-dimensional Setting

We prove an exponential decay concentration inequality to bound the tail...

0 Yunpeng Zhao, et al. ∙

∙ 04/21/2020

Identifiability and consistency of network inference using the hub model and variants: a restricted class of Bernoulli mixture models

Statistical network analysis primarily focuses on inferring the paramete...

0 Yunpeng Zhao, et al. ∙

∙ 03/26/2020

Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets

Social media, especially Twitter, is being increasingly used for researc...

0 Yunpeng Zhao, et al. ∙

∙ 08/31/2019

A Note on New Bernstein-type Inequalities for the Log-likelihood Function of Bernoulli Variables

We prove a new Bernstein-type inequality for the log-likelihood function...

0 Yunpeng Zhao, et al. ∙

∙ 05/22/2019

Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter

Among American women, the rate of breast cancer is only second to lung c...

0 Francois Modave, et al. ∙

∙ 09/07/2018

Logistic Regression Augmented Community Detection for Network Data with Application in Identifying Autism-Related Gene Pathways

When searching for gene pathways leading to specific disease outcomes, a...

0 Yunpeng Zhao, et al. ∙

∙ 08/31/2018

Penalized Component Hub Models

Social network analysis presupposes that observed social behavior is inf...

0 Charles Weko, et al. ∙

∙ 08/25/2018

Network Inference from Temporal-Dependent Grouped Observations

In social network analysis, the observed data is usually some social beh...

0 Yunpeng Zhao, et al. ∙

∙ 03/17/2017

On Consistency of Graph-based Semi-supervised Learning

Graph-based semi-supervised learning is one of the most popular methods ...

0 Chengan Du, et al. ∙

∙ 01/29/2013

Link prediction for partially observed networks

Link prediction is one of the fundamental problems in network analysis. ...

0 Yunpeng Zhao, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world