Edward Y. Chang

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HTC ∙ Stanford University

Hypernetwork-Based Augmentation

Data augmentation is an effective technique to improve the generalizatio...
06/11/2020 ∙ by Chih-Yang Chen, et al. ∙ 0 ∙ share

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Soteria: A Provably Compliant User Right Manager Using a Novel Two-Layer Blockchain Technology

Soteria is a user right management system designed to safeguard user-dat...
03/23/2020 ∙ by Wei-Kang Fu, et al. ∙ 0 ∙ share

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RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes

Multi-domain image-to-image translation has gained increasing attention ...
08/20/2019 ∙ by Po-Wei Wu, et al. ∙ 12 ∙ share

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Effective Medical Test Suggestions Using Deep Reinforcement Learning

Effective medical test suggestions benefit both patients and physicians ...
05/30/2019 ∙ by Yang-En Chen, et al. ∙ 0 ∙ share

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G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data

Performing supervised learning from the data synthesized by using Genera...
05/29/2019 ∙ by Fu-Chieh Chang, et al. ∙ 0 ∙ share

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KG-GAN: Knowledge-Guided Generative Adversarial Networks

Generative adversarial networks (GANs) learn to mimic training data that...
05/29/2019 ∙ by Che-Han Chang, et al. ∙ 0 ∙ share

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MBS: Macroblock Scaling for CNN Model Reduction

We estimate the proper channel (width) scaling of Convolution Neural Net...
09/18/2018 ∙ by Yu-Hsun Lin, et al. ∙ 0 ∙ share

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Backward Reduction of CNN Models with Information Flow Analysis

This paper proposes backward reduction, an algorithm that explores the c...
07/16/2018 ∙ by Yu-Hsun Lin, et al. ∙ 0 ∙ share

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Distributed Training Large-Scale Deep Architectures

Scale of data and scale of computation infrastructures together enable t...
08/10/2017 ∙ by Shang-Xuan Zou, et al. ∙ 0 ∙ share

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Representation Learning on Large and Small Data

Deep learning owes its success to three key factors: scale of data, enha...
07/25/2017 ∙ by Chun-Nan Chou, et al. ∙ 0 ∙ share

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Errata: Distant Supervision for Relation Extraction with Matrix Completion

The essence of distantly supervised relation extraction is that it is an...
11/17/2014 ∙ by Miao Fan, et al. ∙ 0 ∙ share

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Edward Y. Chang

Featured Co-authors

Zhiyuan Liu

Thomas Fang Zheng

Qiang Zhou

Deli Zhao

Monica S. Lam

Giovanni Campagna

Miao Fan

Chun-Nan Chou

Shih-wei Liao

Yu-Jing Lin

Chun Ting Liu

Hypernetwork-Based Augmentation

Soteria: A Provably Compliant User Right Manager Using a Novel Two-Layer Blockchain Technology

RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes

Effective Medical Test Suggestions Using Deep Reinforcement Learning

G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data

KG-GAN: Knowledge-Guided Generative Adversarial Networks

MBS: Macroblock Scaling for CNN Model Reduction

Backward Reduction of CNN Models with Information Flow Analysis

Distributed Training Large-Scale Deep Architectures

Representation Learning on Large and Small Data

Errata: Distant Supervision for Relation Extraction with Matrix Completion