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Shan Liu

4 papers hereh-index 8234 citations20 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CV1
  • cs.LG1
same name
  • Shan Liu — 32 papers, h 34
  • Shan Liu — 15 papers, h 18
  • Shan Liu — 9 papers, h 5
  • Shan Liu — 6 papers, h 6
  • Shan Liu — 4 papers, h 1
  • Shan Liu — 4 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSubstitutional Neural Image Compression

1 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2022

FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate

Zhengang Li, Sheng Lin, Shan Liu +4

Recently, high-quality video conferencing with fewer transmission bits has become a very hot and challenging problem. We propose FAIVConf, a specially designed video compression fr…

eess.IV2021★ 1 cited

Online Meta Adaptation for Variable-Rate Learned Image Compression

Wei Jiang, Wei Wang, Songnan Li +1

This work addresses two major issues of end-to-end learned image compression (LIC) based on deep neural networks: variable-rate learning where separate networks are required to gen…

cs.LG2021★ 1 cited

Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression

Sheng Lin, Wei Jiang, Wei Wang +4

Compressing Deep Neural Network (DNN) models to alleviate the storage and computation requirements is essential for practical applications, especially for resource limited devices.…

cs.CV2021★ 1 cited

Substitutional Neural Image Compression

Xiao Wang, Wei Jiang, Wei Wang +3

We describe Substitutional Neural Image Compression (SNIC), a general approach for enhancing any neural image compression model, that requires no data or additional tuning of the t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.