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researcher

Ohyun Jo

4 papers hereh-index 171.5k citations59 works total

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 — 2 papers, h 5

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

11 citations · 16 across the 4 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★ 11 cited

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★ 1 cited

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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