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Sangwoo Park

4 papers hereh-index 11360 citations41 works total

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

author position
  • first author3
  • middle author1

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

fields
  • eess.SP3
  • cs.LG1
same name
  • Sangwoo Park — 50 papers, h 13
  • Sangwoo Park — 8 papers, h 3
  • SangWoo Park — 5 papers, h 1
  • Sangwoo Park — 4 papers, h 1
  • Sangwoo Park — 4 papers, h 13
  • Sangwoo Park — 3 papers, h 1

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 citedFrom Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems

70 citations · 208 across the 4 of their papers we have counts for

collaborators
Showing eess.SPShow all

3 papers · 1 filter

eess.SP2020★ 50 cited

End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning

Sangwoo Park, Osvaldo Simeone, Joonhyuk Kang

When a channel model is not available, the end-to-end training of encoder and decoder on a fading noisy channel generally requires the repeated use of the channel and of a feedback…

eess.SP2019★ 64 cited

Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels

Sangwoo Park, Osvaldo Simeone, Joonhyuk Kang

When a channel model is available, learning how to communicate on fading noisy channels can be formulated as the (unsupervised) training of an autoencoder consisting of the cascade…

eess.SP2019★ 24 cited

Learning How to Demodulate from Few Pilots via Meta-Learning

Sangwoo Park, Hyeryung Jang, Osvaldo Simeone +1

Consider an Internet-of-Things (IoT) scenario in which devices transmit sporadically using short packets with few pilot symbols. Each device transmits over a fading channel and is…

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