Bin Zhang

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MIT

Self-supervised Image Enhancement Network: Training with Low Light Images Only

This paper proposes a self-supervised low light image enhancement method...
02/26/2020 ∙ by Yu Zhang, et al. ∙ 8 ∙ share

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Latent Feature Based FM Model For Rating Prediction

Rating Prediction is a basic problem in Recommender System, and one of t...
10/29/2014 ∙ by Xudong Liu, et al. ∙ 0 ∙ share

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YouTube for Patient Education: A Deep Learning Approach for Understanding Medical Knowledge from User-Generated Videos

YouTube presents an unprecedented opportunity to explore how machine lea...
07/06/2018 ∙ by Xiao Liu, et al. ∙ 0 ∙ share

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Self-Paced Probabilistic Principal Component Analysis for Data with Outliers

Principal Component Analysis (PCA) is a popular tool for dimensionality ...
04/13/2019 ∙ by Bowen Zhao, et al. ∙ 0 ∙ share

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Attention Mechanism Enhanced Kernel Prediction Networks for Denoising of Burst Images

Deep learning based image denoising methods have been extensively invest...
10/18/2019 ∙ by Bin Zhang, et al. ∙ 0 ∙ share

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Maintaining Discrimination and Fairness in Class Incremental Learning

Deep neural networks (DNNs) have been applied in class incremental learn...
11/16/2019 ∙ by Bowen Zhao, et al. ∙ 0 ∙ share

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ASFD: Automatic and Scalable Face Detector

In this paper, we propose a novel Automatic and Scalable Face Detector (...
03/25/2020 ∙ by Bin Zhang, et al. ∙ 0 ∙ share

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Computing Absolute Free Energy with Deep Generative Models

Fast and accurate evaluation of free energy has broad applications from ...
05/01/2020 ∙ by Xinqiang Ding, et al. ∙ 0 ∙ share

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OODT: Obstacle Aware Opportunistic Data Transmission for Cognitive Radio Ad Hoc Networks

In recent years, a large number of smart devices will be connected in In...
03/26/2020 ∙ by Xiaoxiong Zhong, et al. ∙ 0 ∙ share

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A Cooperative Learning Framework for Resource Management in MEC: An ADMM Perspective

We consider the problem of intelligent and efficient resource management...
03/28/2020 ∙ by Xiaoxiong Zhong, et al. ∙ 0 ∙ share

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Information collection for fraud detection in P2P financial market

Fintech companies have been facing challenges from fraudulent behavior f...
09/24/2019 ∙ by Hao Wang, et al. ∙ 0 ∙ share

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Bin Zhang

Featured Co-authors

Yu Zhang

Hao Wang

Chang Liu

Jian Li

Li Li

Rongrong Ji

Xiao Liu

Jun Zhou

Feiyue Huang

Ting Zhang

Ying Tai

Self-supervised Image Enhancement Network: Training with Low Light Images Only

Latent Feature Based FM Model For Rating Prediction

YouTube for Patient Education: A Deep Learning Approach for Understanding Medical Knowledge from User-Generated Videos

Self-Paced Probabilistic Principal Component Analysis for Data with Outliers

Attention Mechanism Enhanced Kernel Prediction Networks for Denoising of Burst Images

Maintaining Discrimination and Fairness in Class Incremental Learning

ASFD: Automatic and Scalable Face Detector

Computing Absolute Free Energy with Deep Generative Models

OODT: Obstacle Aware Opportunistic Data Transmission for Cognitive Radio Ad Hoc Networks

A Cooperative Learning Framework for Resource Management in MEC: An ADMM Perspective

Information collection for fraud detection in P2P financial market