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Young D. Kwon

15 papers hereh-index 9201 citations22 works total

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

author position
  • first author5
  • middle author8
  • last author1

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.LG10
  • cs.CL2
  • cs.CV2
  • cs.SD1
same name
  • Young D. Kwon — 7 papers, h 10
  • Young D. Kwon — 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
20212026
most citedTinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge

8 citations · 11 across the 10 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

cs.CV2025

Efficient High-Resolution Image Editing with Hallucination-Aware Loss and Adaptive Tiling

Young D. Kwon, Abhinav Mehrotra, Malcolm Chadwick +2

High-resolution (4K) image-to-image synthesis has become increasingly important for mobile applications. Existing diffusion models for image editing face significant challenges, in…

cs.LG2025

EmbodiTTA: Resource-Efficient Test-Time Adaptation for Embodied Visual Systems

Xiao Ma, Young D. Kwon, Dong Ma

Continual Test-time adaptation (CTTA) continuously adapts the deployed model on every incoming batch of data. While achieving optimal accuracy, existing CTTA approaches present poo…

cs.LG2025

LeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation on Edge Devices

Cynthia Dong, Hong Jia, Young D. Kwon +2

While there are many advantages to deploying machine learning models on edge devices, the resource constraints of mobile platforms, the dynamic nature of the environment, and diffe…

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