Peng Zhao

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Nanjing University ∙ Institute of Computing Technology, Chinese Academy of Sciences

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Peng Zhao

Featured Co-authors

Zhi-Hua Zhou

Lijun Zhang

Guanghui Wang

Yu-Xiang Wang

Lei Liu

Fanhua Shang

Yun Yang

Guanyu Hu

Yuanyuan Liu

Xinyu Yang

Dipak K Dey

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