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Liang-Gee Chen

6 papers hereh-index 5311.4k citations552 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV3

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedJoint Pruning & Quantization for Extremely Sparse Neural Networks

10 citations · 12 across the 6 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

eess.IV2020

How to Exploit the Transferability of Learned Image Compression to Conventional Codecs

Jan P. Klopp, Keng-Chi Liu, Liang-Gee Chen +1

Lossy image compression is often limited by the simplicity of the chosen loss measure. Recent research suggests that generative adversarial networks have the ability to overcome th…

cs.CV2020★ 10 cited

Joint Pruning & Quantization for Extremely Sparse Neural Networks

Po-Hsiang Yu, Sih-Sian Wu, Jan P. Klopp +2

We investigate pruning and quantization for deep neural networks. Our goal is to achieve extremely high sparsity for quantized networks to enable implementation on low cost and low…

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