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ORCIDHyejin Shin
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2020 – today
- 2024
[c6]Hyejin Shin
, Jun Ho Huh, Bum Jun Kwon, Iljoo Kim, Eunyong Cheon, HongMin Kim, Choong-Hoon Lee, Ian Oakley:
SkullID: Through-Skull Sound Conduction based Authentication for Smartglasses. CHI 2024: 834:1-834:19- 2023
- [c5]Sanghwi Kim, Hyejin Shin, Hyunkyu Kim:
Two-Stream Neural Network for Post-Layout Waveform Prediction. DATE 2023: 1-2 - 2022
- [j9]WooChul Shim, Hyejin Shin, Yong Ho Hwang:
On Data Licenses for Open Source Threat Intelligence. IEEE Secur. Priv. 20(4): 8-22 (2022) - [j8]Jun Ho Huh, Hyejin Shin, HongMin Kim, Eunyong Cheon, Youngeun Song, Choong-Hoon Lee, Ian Oakley:
WristAcoustic: Through-Wrist Acoustic Response Based Authentication for Smartwatches. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 167:1-167:34 (2022) - 2021
- [c4]Hyejin Shin, WooChul Shim, Saebom Kim, Sol Lee, Yong Goo Kang, Yong Ho Hwang:
#Twiti: Social Listening for Threat Intelligence. WWW 2021: 92-104 - 2020
- [j7]Seong J. Yang, Hyejin Shin, Sang Han Lee, Seokho Lee, Alzheimer's Disease Neuroimaging Initiative:
Functional linear regression model with randomly censored data: Predicting conversion time to Alzheimer 's disease. Comput. Stat. Data Anal. 150: 107009 (2020) - [j6]Sungwook Kim, Hyejin Shin, Chung Hun Baek, Soohyung Kim, Junbum Shin:
Learning New Words from Keystroke Data with Local Differential Privacy. IEEE Trans. Knowl. Data Eng. 32(3): 479-491 (2020) - [c3]Hyejin Shin, WooChul Shim, Jiin Moon, Jae Woo Seo, Sol Lee, Yong Ho Hwang:
Cybersecurity Event Detection with New and Re-emerging Words. AsiaCCS 2020: 665-678
2010 – 2019
- 2019
- [c2]Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, Ge Yu:
Collecting and Analyzing Multidimensional Data with Local Differential Privacy. ICDE 2019: 638-649 - [i2]Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, Ge Yu:
Collecting and Analyzing Multidimensional Data with Local Differential Privacy. CoRR abs/1907.00782 (2019) - 2018
- [j5]Hyejin Shin, Sungwook Kim, Junbum Shin, Xiaokui Xiao:
Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy. IEEE Trans. Knowl. Data Eng. 30(9): 1770-1782 (2018) - [c1]Ning Wang, Xiaokui Xiao, Yin Yang, Ta Duy Hoang, Hyejin Shin, Junbum Shin, Ge Yu:
PrivTrie: Effective Frequent Term Discovery under Local Differential Privacy. ICDE 2018: 821-832 - 2016
- [i1]Thông T. Nguyên, Xiaokui Xiao, Yin Yang, Siu Cheung Hui, Hyejin Shin, Junbum Shin:
Collecting and Analyzing Data from Smart Device Users with Local Differential Privacy. CoRR abs/1606.05053 (2016) - 2015
- [j4]Hyejin Shin, Seokho Lee:
Canonical correlation analysis for irregularly and sparsely observed functional data. J. Multivar. Anal. 134: 1-18 (2015) - 2013
- [j3]Seokho Lee, Hyejin Shin, Nedret Billor:
MM-type smoothing spline estimators for principal functions. Comput. Stat. Data Anal. 66: 89-100 (2013) - 2012
- [j2]Pallavi Sawant, Nedret Billor, Hyejin Shin:
Functional outlier detection with robust functional principal component analysis. Comput. Stat. 27(1): 83-102 (2012) - [j1]Hyejin Shin, Myung Hee Lee:
On prediction rate in partial functional linear regression. J. Multivar. Anal. 103(1): 93-106 (2012)
Coauthor Index
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