Yueru Chen

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University of Southern California

Interpretable Convolutional Neural Networks via Feedforward Design

The model parameters of convolutional neural networks (CNNs) are determi...
10/05/2018 ∙ by C. -C. Jay Kuo, et al. ∙ 16 ∙ share

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An Interpretable Generative Model for Handwritten Digit Image Synthesis

An interpretable generative model for handwritten digits synthesis is pr...
11/11/2018 ∙ by Yao Zhu, et al. ∙ 16 ∙ share

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Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation

Unsupervised video object segmentation is a crucial application in video...
12/19/2018 ∙ by Ye Wang, et al. ∙ 12 ∙ share

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Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks

This paper reports a visible and thermal drone monitoring system that in...
12/19/2018 ∙ by Ye Wang, et al. ∙ 8 ∙ share

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Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation

One major technique debt in video object segmentation is to label the ob...
12/13/2018 ∙ by Ye Wang, et al. ∙ 2 ∙ share

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A Deep Learning Approach to Drone Monitoring

A drone monitoring system that integrates deep-learning-based detection ...
12/04/2017 ∙ by Yueru Chen, et al. ∙ 0 ∙ share

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A Saak Transform Approach to Efficient, Scalable and Robust Handwritten Digits Recognition

An efficient, scalable and robust approach to the handwritten digits rec...
10/29/2017 ∙ by Yueru Chen, et al. ∙ 0 ∙ share

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On Data-Driven Saak Transform

Being motivated by the multilayer RECOS (REctified-COrrelations on a Sph...
10/11/2017 ∙ by C. -C. Jay Kuo, et al. ∙ 0 ∙ share

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Design, Analysis and Application of A Volumetric Convolutional Neural Network

The design, analysis and application of a volumetric convolutional neura...
02/01/2017 ∙ by Xiaqing Pan, et al. ∙ 0 ∙ share

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3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking (IF/SR)

A novel solution for the content-based 3D shape retrieval problem using ...
01/30/2017 ∙ by Xiaqing Pan, et al. ∙ 0 ∙ share

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Defense Against Adversarial Attacks with Saak Transform

Deep neural networks (DNNs) are known to be vulnerable to adversarial pe...
08/06/2018 ∙ by Sibo Song, et al. ∙ 0 ∙ share

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Analysis on Gradient Propagation in Batch Normalized Residual Networks

We conduct mathematical analysis on the effect of batch normalization (B...
12/02/2018 ∙ by Abhishek Panigrahi, et al. ∙ 0 ∙ share

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Ensembles of feedforward-designed convolutional neural networks

An ensemble method that fuses the output decision vectors of multiple fe...
01/08/2019 ∙ by Yueru Chen, et al. ∙ 0 ∙ share

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Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks

A semi-supervised learning framework using the feedforward-designed conv...
02/06/2019 ∙ by Yueru Chen, et al. ∙ 0 ∙ share

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PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification

A new machine learning methodology, called successive subspace learning ...
09/17/2019 ∙ by Yueru Chen, et al. ∙ 0 ∙ share

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PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classification

The successive subspace learning (SSL) principle was developed and used ...
02/08/2020 ∙ by Yueru Chen, et al. ∙ 0 ∙ share

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Yueru Chen

Featured Co-authors

Wei Wang

C. -C. Jay Kuo

Min Zhang

Ngai-Man Cheung

Ye Wang

Qin Huang

Jongmoo Choi

Suya You

Siyang Li

Yao Zhu

Jiali Duan

Interpretable Convolutional Neural Networks via Feedforward Design

An Interpretable Generative Model for Handwritten Digit Image Synthesis

Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation

Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks

Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation

A Deep Learning Approach to Drone Monitoring

A Saak Transform Approach to Efficient, Scalable and Robust Handwritten Digits Recognition

On Data-Driven Saak Transform

Design, Analysis and Application of A Volumetric Convolutional Neural Network

3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking (IF/SR)

Defense Against Adversarial Attacks with Saak Transform

Analysis on Gradient Propagation in Batch Normalized Residual Networks

Ensembles of feedforward-designed convolutional neural networks

Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks

PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification

PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classification