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Ohyun Jo

4 papers here

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

author position
  • middle author2
  • last author2

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

fields
  • cs.IT2
  • cs.LG1
  • eess.SP1
same name
  • Ohyun Jo — 1 paper

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 citedQ-NAV: NAV Setting Method based on Reinforcement Learning in Underwater Wireless Networks

2 citations · 4 across the 2 of their papers we have counts for

collaborators

4 papers

cs.LG2020★ 2 cited

Exploitation of Channel-Learning for Enhancing 5G Blind Beam Index Detection

Ji Yoon Han, Ohyun Jo, Juyeop Kim

Proliferation of 5G devices and services has driven the demand for wide-scale enhancements ranging from data rate, reliability, and compatibility to sustain the ever increasing gro…

eess.SP2020★ 2 cited

Q-NAV: NAV Setting Method based on Reinforcement Learning in Underwater Wireless Networks

Seok-Hyeon Park, Ohyun Jo

The demand on the underwater communications is extremely increasing in searching for underwater resources, marine expedition, or environmental researches, yet there are many proble…

cs.IT2018

Building Encoder and Decoder with Deep Neural Networks: On the Way to Reality

Minhoe Kim, Woonsup Lee, Jungmin Yoon +1

Deep learning has been a groundbreaking technology in various fields as well as in communications systems. In spite of the notable advancements of deep neural network (DNN) based t…

cs.IT2018

Application of End-to-End Deep Learning in Wireless Communications Systems

Woongsup Lee, Ohyun Jo, Minhoe Kim

Deep learning is a potential paradigm changer for the design of wireless communications systems (WCS), from conventional handcrafted schemes based on sophisticated mathematical mod…

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