Hyunjin Shin

Orcid: 0009-0007-6819-4592

According to our database1, Hyunjin Shin authored at least 14 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A 14nm 128Mb Embedded MRAM Macro achieved the Best Figure-Of-Merit with 80MHz Read operation and 18.1Mb/mm² implementation at 0.64V.
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

Identification of therapeutic targets for muscle atrophy via analyzing transcriptomic profiles with systems biology approaches.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

Improving Automatic KCD Coding: Introducing the KoDAK and an Optimized Tokenization Method for Korean Clinical Documents.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022
Six different approaches to defining and identifying promising technology through patent analysis.
Technol. Anal. Strateg. Manag., 2022

A 32Mb Embedded Flash Memory based on 28nm with the best Cell Efficiency and Robust Design achievement featuring 13.48Mb/mm<sup>2</sup> at 0.85V.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

2021
A 28nm Embedded Flash Memory with 100MHz Read Operation and 7.42Mb/mm2 at 0.85V featuring for Automotive Application.
Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021

2020
Supporting preschoolers' transitions from screen time to screen-free time using augmented reality and encouraging offline leisure activity.
Comput. Hum. Behav., 2020

Guessing or Solving?: Exploring the Use of Motion Features from Educational Game Logs.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2013
Computational methodology for ChIP-seq analysis.
Quant. Biol., 2013

2009
CEAS: <i>cis</i>-regulatory element annotation system.
Bioinform., 2009

2008
Guilt-by-association feature selection: Identifying biomarkers from proteomic profiles.
J. Biomed. Informatics, 2008

2006
A machine learning perspective on the development of clinical decision support systems utilizing mass spectra of blood samples.
J. Biomed. Informatics, 2006

Statistical Characterization of Chemical Noise in MALDI TOF MS by Wavelet Analysis of Multiple Noise Realizations.
Proceedings of the AMIA 2006, 2006

2005
Guilt-By-Association Feature Selection Applied to Simulated Proteomic Data.
Proceedings of the AMIA 2005, 2005


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