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Joonhyuk Kang

4 papers hereh-index 6244 citations19 works total

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

author position
  • middle author1
  • last author3

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

fields
  • cs.ET1
  • cs.LG1
  • eess.SP1
  • eess.SY1
same name
  • Joonhyuk Kang — 16 papers, h 4
  • Joonhyuk Kang — 7 papers, h 3
  • Joonhyuk Kang — 3 papers, h 2
  • Joonhyuk Kang — 2 papers, h 2
  • Joonhyuk Kang — 1 paper
  • Joonhyuk Kang — 1 paper, h 25

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

activity
20242026
collaborators

4 papers

cs.ET2026

Resource Allocation and AoI-Aware Detection for ISAC with Stacked Intelligent Metasurfaces

Elaheh Ataeebojd, Nhan Thanh Nguyen, Seonghoon Yoo +4

Stacked intelligent metasurfaces (SIMs) provide wave-domain degrees of freedom that can empower integrated sensing and communication (ISAC) through flexible beampattern synthesis a…

eess.SP2025

Exploring the Near and Far-Field Coexistence for RIS-Assisted ISAC Systems: An Adaptive Bandwidth Splitting Approach

Seonghoon Yoo, Jaemin Jung, Seongah Jeong +3

Integrated sensing and communication (ISAC) enables the joint use of spectrum and hardware resources for radar sensing and data transmission, serving as a key enabler of next-gener…

cs.LG2025

TQ-DiT: Efficient Time-Aware Quantization for Diffusion Transformers

Younghye Hwang, Hyojin Lee, Joonhyuk Kang

Diffusion transformers (DiTs) combine transformer architectures with diffusion models. However, their computational complexity imposes significant limitations on real-time applicat…

eess.SY2024

Enhancing Battlefield Awareness: An Aerial RIS-assisted ISAC System with Deep Reinforcement Learning

Hyunsang Cho, Seonghoon Yoo, Bang Chul Jung +1

This paper considers a joint communication and sensing technique for enhancing situational awareness in practical battlefield scenarios. In particular, we propose an aerial reconfi…

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