Yang Lu

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Beihang University ∙ Penn State University ∙ Shanghai Jiao Tong University ∙ Hong Kong Baptist University ∙ University of Kent

Low-Power Computer Vision: Status, Challenges, Opportunities

Computer vision has achieved impressive progress in recent years. Meanwh...
04/15/2019 ∙ by Sergei Alyamkin, et al. ∙ 16 ∙ share

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Robust saliency maps with decoy-enhanced saliency score

Saliency methods help to make deep neural network predictions more inter...
02/03/2020 ∙ by Yang Lu, et al. ∙ 7 ∙ share

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2018 Low-Power Image Recognition Challenge

The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...
10/03/2018 ∙ by Sergei Alyamkin, et al. ∙ 6 ∙ share

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Learning Multi-grid Generative ConvNets by Minimal Contrastive Divergence

This paper proposes a minimal contrastive divergence method for learning...
09/26/2017 ∙ by Ruiqi Gao, et al. ∙ 0 ∙ share

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A Theory of Generative ConvNet

We show that a generative random field model, which we call generative C...
02/10/2016 ∙ by Jianwen Xie, et al. ∙ 0 ∙ share

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Cooperative Training of Descriptor and Generator Networks

This paper studies the cooperative training of two probabilistic models ...
09/29/2016 ∙ by Jianwen Xie, et al. ∙ 0 ∙ share

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Alternating Back-Propagation for Generator Network

This paper proposes an alternating back-propagation algorithm for learni...
06/28/2016 ∙ by Tian Han, et al. ∙ 0 ∙ share

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LAGE: A Java Framework to reconstruct Gene Regulatory Networks from Large-Scale Continues Expression Data

LAGE is a systematic framework developed in Java. The motivation of LAGE...
11/09/2012 ∙ by Yang Lu, et al. ∙ 0 ∙ share

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LSBN: A Large-Scale Bayesian Structure Learning Framework for Model Averaging

The motivation for this paper is to apply Bayesian structure learning us...
10/18/2012 ∙ by Yang Lu, et al. ∙ 0 ∙ share

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Generative Modeling of Convolutional Neural Networks

The convolutional neural networks (CNNs) have proven to be a powerful to...
12/19/2014 ∙ by Jifeng Dai, et al. ∙ 0 ∙ share

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Privacy preserving distributed optimization using homomorphic encryption

This paper studies how a system operator and a set of agents securely ex...
05/01/2018 ∙ by Yang Lu, et al. ∙ 0 ∙ share

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Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions

Computer vision relies on labeled datasets for training and evaluation i...
12/31/2018 ∙ by Caleb Tung, et al. ∙ 0 ∙ share

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Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem

Recent studies have shown that imbalance ratio is not the only cause of ...
01/29/2019 ∙ by Yang Lu, et al. ∙ 0 ∙ share

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Optimal Online Transmission Policy in Wireless Powered Networks with Urgency-aware Age of Information

This paper investigates the age of information (AoI) for a radio frequen...
01/26/2019 ∙ by Yang Lu, et al. ∙ 0 ∙ share

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ProductNet: a Collection of High-Quality Datasets for Product Representation Learning

ProductNet is a collection of high-quality product datasets for better p...
04/18/2019 ∙ by Chu Wang, et al. ∙ 0 ∙ share

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Multi-Scale Dual-Branch Fully Convolutional Network for Hand Parsing

Recently, fully convolutional neural networks (FCNs) have shown signific...
05/24/2019 ∙ by Yang Lu, et al. ∙ 0 ∙ share

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Copula Density Estimation by Finite Mixture of Parametric Copula Densities

A Copula density estimation method that is based on a finite mixture of ...
06/22/2019 ∙ by Leming Qu, et al. ∙ 0 ∙ share

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From Data Disclosure to Privacy Nudges: A Privacy-aware and User-centric Personal Data Management Framework

Although there are privacy-enhancing tools designed to protect users' on...
09/22/2019 ∙ by Yang Lu, et al. ∙ 0 ∙ share

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On privacy preserving data release of linear dynamic networks

Distributed data sharing in dynamic networks is ubiquitous. It raises th...
12/16/2019 ∙ by Yang Lu, et al. ∙ 0 ∙ share

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Yang Lu

Featured Co-authors

Song-Chun Zhu

Xin Liu

Yiran Chen

Ying Nian Wu

Bo Chen

Chen Feng

Pingyi Fan

Bo Yuan

Jifeng Dai

Alexander C. Berg

Xiaopeng Zhang

Low-Power Computer Vision: Status, Challenges, Opportunities

Robust saliency maps with decoy-enhanced saliency score

2018 Low-Power Image Recognition Challenge

Learning Multi-grid Generative ConvNets by Minimal Contrastive Divergence

A Theory of Generative ConvNet

Cooperative Training of Descriptor and Generator Networks

Alternating Back-Propagation for Generator Network

LAGE: A Java Framework to reconstruct Gene Regulatory Networks from Large-Scale Continues Expression Data

LSBN: A Large-Scale Bayesian Structure Learning Framework for Model Averaging

Generative Modeling of Convolutional Neural Networks

Privacy preserving distributed optimization using homomorphic encryption

Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions

Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem

Optimal Online Transmission Policy in Wireless Powered Networks with Urgency-aware Age of Information

ProductNet: a Collection of High-Quality Datasets for Product Representation Learning

Multi-Scale Dual-Branch Fully Convolutional Network for Hand Parsing

Copula Density Estimation by Finite Mixture of Parametric Copula Densities

From Data Disclosure to Privacy Nudges: A Privacy-aware and User-centric Personal Data Management Framework

On privacy preserving data release of linear dynamic networks