Hyejin Shin

According to our database, Hyejin Shin authored at least 16 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SkullID: Through-Skull Sound Conduction based Authentication for Smartglasses.

Hyejin Shin, Jun Ho Huh, Bum Jun Kwon, Iljoo Kim, Eunyong Cheon, HongMin Kim, Choong-Hoon Lee, Ian Oakley

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Two-Stream Neural Network for Post-Layout Waveform Prediction.

Sanghwi Kim, Hyejin Shin, Hyunkyu Kim

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

WristAcoustic: Through-Wrist Acoustic Response Based Authentication for Smartwatches.

Jun Ho Huh, Hyejin Shin, HongMin Kim, Eunyong Cheon, Youngeun Song, Choong-Hoon Lee, Ian Oakley

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

On Data Licenses for Open Source Threat Intelligence.

WooChul Shim, Hyejin Shin, Yong Ho Hwang

IEEE Secur. Priv., 2022

2021

#Twiti: Social Listening for Threat Intelligence.

Hyejin Shin, WooChul Shim, Saebom Kim, Sol Lee, Yong Goo Kang, Yong Ho Hwang

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Learning New Words from Keystroke Data with Local Differential Privacy.

Sungwook Kim, Hyejin Shin, Chung Hun Baek, Soohyung Kim, Junbum Shin

IEEE Trans. Knowl. Data Eng., 2020

Functional linear regression model with randomly censored data: Predicting conversion time to Alzheimer 's disease.

Seong J. Yang, Hyejin Shin, Sang Han Lee, Seokho Lee, Alzheimer's Disease Neuroimaging Initiative

Comput. Stat. Data Anal., 2020

Cybersecurity Event Detection with New and Re-emerging Words.

Hyejin Shin, WooChul Shim, Jiin Moon, Jae Woo Seo, Sol Lee, Yong Ho Hwang

Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020

2019

Collecting and Analyzing Multidimensional Data with Local Differential Privacy.

Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, Ge Yu

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy.

Hyejin Shin, Sungwook Kim, Junbum Shin, Xiaokui Xiao

IEEE Trans. Knowl. Data Eng., 2018

PrivTrie: Effective Frequent Term Discovery under Local Differential Privacy.

Ning Wang, Xiaokui Xiao, Yin Yang, Ta Duy Hoang, Hyejin Shin, Junbum Shin, Ge Yu

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2016

Collecting and Analyzing Data from Smart Device Users with Local Differential Privacy.

Thông T. Nguyên, Xiaokui Xiao, Yin Yang, Siu Cheung Hui, Hyejin Shin, Junbum Shin

CoRR, 2016

2015

Canonical correlation analysis for irregularly and sparsely observed functional data.

Hyejin Shin, Seokho Lee

J. Multivar. Anal., 2015

2013

<i>M</i>M-type smoothing spline estimators for principal functions.

Seokho Lee, Hyejin Shin, Nedret Billor

Comput. Stat. Data Anal., 2013

2012

On prediction rate in partial functional linear regression.

Hyejin Shin, Myung Hee Lee

J. Multivar. Anal., 2012

Functional outlier detection with robust functional principal component analysis.

Pallavi Sawant, Nedret Billor, Hyejin Shin

Comput. Stat., 2012