b'Peng Zhao'

A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Convolutional Neural Networks to Visual Transformers

In recent years, deep learning has made brilliant achievements in image ...
07/16/2021 ∙ by Peng Zhao, et al. ∙ 7 ∙ share

read it
A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Images: from Convolutional Neural Networks to Visual Transformers

Nowadays, analysis of transparent images in the field of computer vision...
06/22/2021 ∙ by Hechen Yang, et al. ∙ 6 ∙ share

read it
Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits

In this paper we study the problem of stochastic multi-armed bandits (MA...
06/04/2021 ∙ by Youming Tao, et al. ∙ 0 ∙ share

read it
A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Perfo

Image classification has achieved unprecedented advance with the the rap...
06/03/2021 ∙ by Ao Chen, et al. ∙ 10 ∙ share

read it
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling

Video super-resolution (VSR) aims at restoring a video in low-resolution...
03/22/2021 ∙ by Hongying Liu, et al. ∙ 0 ∙ share

read it
Modeling Multivariate Cyber Risks: Deep Learning Dating Extreme Value Theory

Modeling cyber risks has been an important but challenging task in the d...
03/15/2021 ∙ by Mingyue Zhang Wu, et al. ∙ 0 ∙ share

read it
Non-stationary Linear Bandits Revisited

In this note, we revisit non-stationary linear bandits, a variant of sto...
03/09/2021 ∙ by Peng Zhao, et al. ∙ 0 ∙ share

read it
Non-stationary Online Learning with Memory and Non-stochastic Control

We study the problem of Online Convex Optimization (OCO) with memory, wh...
02/07/2021 ∙ by Peng Zhao, et al. ∙ 0 ∙ share

read it
Latent Dirichlet Allocation Model Training with Differential Privacy

Latent Dirichlet Allocation (LDA) is a popular topic modeling technique ...
10/09/2020 ∙ by Fangyuan Zhao, et al. ∙ 0 ∙ share

read it
A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution

Spherical videos, also known as 360 (panorama) videos, can be viewed wit...
08/24/2020 ∙ by Hongying Liu, et al. ∙ 0 ∙ share

read it
Video Super Resolution Based on Deep Learning: A comprehensive survey

In recent years, deep learning has made great progress in the fields of ...
07/25/2020 ∙ by Hongying Liu, et al. ∙ 0 ∙ share

read it
Storage Fit Learning with Feature Evolvable Streams

Feature evolvable learning has been widely studied in recent years where...
07/22/2020 ∙ by Bo-Jian Hou, et al. ∙ 0 ∙ share

read it
Dynamic Regret of Convex and Smooth Functions

We investigate online convex optimization in non-stationary environments...
07/07/2020 ∙ by Peng Zhao, et al. ∙ 0 ∙ share

read it
Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions

In this paper, we present an improved analysis for dynamic regret of str...
06/10/2020 ∙ by Peng Zhao, et al. ∙ 0 ∙ share

read it
CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning

The emerging edge-cloud collaborative Deep Learning (DL) paradigm aims a...
05/04/2020 ∙ by Yuanrui Dong, et al. ∙ 0 ∙ share

read it
Bayesian Spatial Homogeneity Pursuit Regression for Count Value Data

Spatial regression models are ubiquitous in many different areas such as...
02/16/2020 ∙ by Peng Zhao, et al. ∙ 0 ∙ share

read it
Exploratory Machine Learning with Unknown Unknowns

In conventional supervised learning, a training dataset is given with gr...
02/05/2020 ∙ by Yu-Jie Zhang, et al. ∙ 72 ∙ share

read it
An Unbiased Risk Estimator for Learning with Augmented Classes

In this paper, we study the problem of learning with augmented classes (...
10/21/2019 ∙ by Yu-Jie Zhang, et al. ∙ 31 ∙ share

read it
Bandit Convex Optimization in Non-stationary Environments

Bandit Convex Optimization (BCO) is a fundamental framework for modeling...
07/29/2019 ∙ by Peng Zhao, et al. ∙ 4 ∙ share

read it
Implicit Regularization via Hadamard Product Over-Parametrization in High-Dimensional Linear Regression

We consider Hadamard product parametrization as a change-of-variable (ov...
03/22/2019 ∙ by Peng Zhao, et al. ∙ 0 ∙ share

read it
Background subtraction on depth videos with convolutional neural networks

Background subtraction is a significant component of computer vision sys...
01/17/2019 ∙ by Xueying Wang, et al. ∙ 0 ∙ share

read it
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge

Recently, deep neural networks (DNNs) have been widely applied in mobile...
12/16/2018 ∙ by Guangli Li, et al. ∙ 0 ∙ share

read it
Handling Concept Drift via Model Reuse

In many real-world applications, data are often collected in the form of...
09/08/2018 ∙ by Peng Zhao, et al. ∙ 0 ∙ share

read it
Distribution-Free One-Pass Learning

In many large-scale machine learning applications, data are accumulated ...
06/08/2017 ∙ by Peng Zhao, et al. ∙ 0 ∙ share

read it

Peng Zhao

Featured Co-authors

Tao Jiang

Di Wang

Lijun Zhang

Zhi-Hua Zhou

Chen Li

Guanghui Wang

Yu-Xiang Wang

Lei Liu

Fanhua Shang

Xin Zhao

Yun Yang

A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Convolutional Neural Networks to Visual Transformers

A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Images: from Convolutional Neural Networks to Visual Transformers

Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits

A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Perfo

Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling

Modeling Multivariate Cyber Risks: Deep Learning Dating Extreme Value Theory

Non-stationary Linear Bandits Revisited

Non-stationary Online Learning with Memory and Non-stochastic Control

Latent Dirichlet Allocation Model Training with Differential Privacy

A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution

Video Super Resolution Based on Deep Learning: A comprehensive survey

Storage Fit Learning with Feature Evolvable Streams

Dynamic Regret of Convex and Smooth Functions

Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions

CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning

Bayesian Spatial Homogeneity Pursuit Regression for Count Value Data

Exploratory Machine Learning with Unknown Unknowns

An Unbiased Risk Estimator for Learning with Augmented Classes

Bandit Convex Optimization in Non-stationary Environments

Implicit Regularization via Hadamard Product Over-Parametrization in High-Dimensional Linear Regression

Background subtraction on depth videos with convolutional neural networks

Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge

Handling Concept Drift via Model Reuse

Distribution-Free One-Pass Learning