Edward Y. Chang
7 papers · 2007–2019 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (26) π Conference Polyglot Β· Silver
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Topic Pioneer
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Keyword Pioneer
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Trend Setter
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Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Computer Vision
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory Β· Machine Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Computer Science
(1)
Analysis
(1)
Application Areas
(1)
Architectures
(1)
Generation
(1)
Learning Types Β· Machine Learning
(1)
Keywords
conjugate gradient
(2)
convolutional neural network
(2)
neural network training
(1)
matrix factorization
(1)
knowledge distillation
(1)
scalability
(1)
neural network optimization
(1)
hessian approximation
(1)
efficient computing
(1)
distributed computing
(1)
low-rank approximation
(1)
parallel computing
(1)
image alignment
(1)
distributed computers
(1)
matrix completion
(1)
image-to-image translation
(1)
optical flow
(1)
feature extraction
(1)
riemannian manifold
(1)
model compression
(1)
Papers
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks
AAAI 2019
MBS: Macroblock Scaling for CNN Model Reduction
CVPR 2019
RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes
ICCV 2019
CLKN: Cascaded Lucas-Kanade Networks for Image Alignment
CVPR 2017
A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm
CVPR 2015
Distant Supervision for Relation Extraction with Matrix Completion
ACL 2014
Parallelizing Support Vector Machines on Distributed Computers
NeurIPS 2007