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Jae-Hun Jung

8 papers hereh-index 29 citations8 works total

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

author position
  • last author8

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • math.AT2
  • cs.LG1
  • cs.SD1
  • math.NA1
  • stat.AP1
same name
  • Jae-Hun Jung — 13 papers, h 19
  • Jae-Hun Jung — 10 papers, h 3
  • Jae-Hun Jung — 4 papers, h 3
  • Jae-Hun Jung — 4 papers, h 1
  • Jae-Hun Jung — 2 papers, h 2
  • Jae-Hun Jung — 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

activity
20242026
most citedPersistent homology of featured time series data and its applications

3 citations · 3 across the 7 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

Topological Alignment of Shared Vision-Language Embedding Space

Junwon You, Dasol Kang, Jae-Hun Jung

Contrastive Vision-Language Models (VLMs) have demonstrated strong zero-shot capabilities. However, their cross-modal alignment remains biased toward English due to limited multili…

cs.SD2025

Persistent Homology of Music Network with Three Different Distances

Eunwoo Heo, Byeongchan Choi, Myung ock Kim +2

Persistent homology has been widely used to discover hidden topological structures in data across various applications, including music data. To apply persistent homology, a distan…

math.NA2025

Schwartz duality for singularly perturbed nonlinear differential equations with Chebyshev spectral method

Eunwoo Heo, Kwanghyuk Park, Jae-Hun Jung

Singularly perturbed differential equations with a Dirac delta function yield discontinuous solutions. Therefore, careful consideration is required when using numerical methods to…

math.AT2025

Persistent Homology with Path-Representable Distances on Graph Data

Eunwoo Heo, Byeongchan Choi, Jae-Hun Jung

Persistent homology (PH) has been widely applied to graph data to extract topological features. However, little attention has been paid to how different distance functions on a gra…

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