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researcher

Yu-Hsin Chen

4 papers hereh-index 5355 citations8 works total

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

author position
  • middle author4

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

fields
  • cs.AR1
  • cs.CV1
  • cs.DC1
  • cs.LG1
same name
  • Yu-Hsin Chen — 5 papers, h 10
  • Yu-hsin Chen — 5 papers, h 25
  • Yu-Hsin Chen — 2 papers, h 3
  • Yu-Hsin Chen — 2 papers, h 6
  • Yu-Hsin Chen — 1 paper, h 2

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
20212024
most citedMulti-Scale High-Resolution Vision Transformer for Semantic Segmentation

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

collaborators

4 papers

cs.AR2024

PipeOrgan: Efficient Inter-operation Pipelining with Flexible Spatial Organization and Interconnects

Raveesh Garg, Hyoukjun Kwon, Eric Qin +3

Because of the recent trends in Deep Neural Networks (DNN) models being memory-bound, inter-operator pipelining for DNN accelerators is emerging as a promising optimization. Inter-…

cs.LG2023

Deep denoising autoencoder-based non-invasive blood flow detection for arteriovenous fistula

Li-Chin Chen, Yi-Heng Lin, Li-Ning Peng +5

Clinical guidelines underscore the importance of regularly monitoring and surveilling arteriovenous fistula (AVF) access in hemodialysis patients to promptly detect any dysfunction…

cs.DC2022

DREAM: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads

Seah Kim, Hyoukjun Kwon, Jinook Song +4

Emerging real-time multi-model ML (RTMM) workloads such as AR/VR and drone control involve dynamic behaviors in various granularity; task, model, and layers within a model. Such dy…

cs.CV2021★ 4 cited

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation

Jiaqi Gu, Hyoukjun Kwon, Dilin Wang +6

Vision Transformers (ViTs) have emerged with superior performance on computer vision tasks compared to convolutional neural network (CNN)-based models. However, ViTs are mainly des…

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