Functional outlier detection with robust functional principal component analysis. - Pallavi Sawant; Nedret Billor; Hyejin Shin (Comput. Stat., 2012)

On prediction rate in partial functional linear regression. - Hyejin Shin; Myung Hee Lee (J. Multivar. Anal., 2012)

MM-type smoothing spline estimators for principal functions. - Seokho Lee; Hyejin Shin; Nedret Billor (Comput. Stat. Data Anal., 2013)

Canonical correlation analysis for irregularly and sparsely observed functional data. - Hyejin Shin; Seokho Lee (J. Multivar. Anal., 2015)

Collecting and Analyzing Data from Smart Device Users with Local Differential Privacy. - Thông T. Nguyên; Xiaokui Xiao; Yin Yang 001; Siu Cheung Hui; Hyejin Shin; Junbum Shin (CoRR, 2016)

PrivTrie: Effective Frequent Term Discovery under Local Differential Privacy. - Ning Wang 026; Xiaokui Xiao; Yin Yang 001; Ta Duy Hoang; Hyejin Shin; Junbum Shin; Ge Yu 001 (ICDE, 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)

Collecting and Analyzing Multidimensional Data with Local Differential Privacy. - Ning Wang 026; Xiaokui Xiao; Yin Yang 001; Jun Zhao 007; Siu Cheung Hui; Hyejin Shin; Junbum Shin; Ge Yu 001 (ICDE, 2019)

Collecting and Analyzing Multidimensional Data with Local Differential Privacy. - Ning Wang 003; Xiaokui Xiao; Yin Yang 001; Jun Zhao 007; Siu Cheung Hui; Hyejin Shin; Junbum Shin; Ge Yu 001 (CoRR, 2019)

Cybersecurity Event Detection with New and Re-emerging Words. - Hyejin Shin; WooChul Shim; Jiin Moon; Jae Woo Seo; Sol Lee; Yong Ho Hwang (AsiaCCS, 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)

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)

#Twiti: Social Listening for Threat Intelligence. - Hyejin Shin; WooChul Shim; Saebom Kim; Sol Lee; Yong Goo Kang; Yong Ho Hwang (WWW, 2021)

On Data Licenses for Open Source Threat Intelligence. - WooChul Shim; Hyejin Shin; Yong Ho Hwang (IEEE Secur. Priv., 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)

Two-Stream Neural Network for Post-Layout Waveform Prediction. - Sanghwi Kim; Hyejin Shin; Hyunkyu Kim (DATE, 2023)

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 (CHI, 2024)

Target Circuit Matching in Large-Scale Netlists using GNN-Based Region Prediction. - Sangwoo Seo; Jimin Seo; Yoonho Lee 002; Donghyeon Kim; Hyejin Shin; Banghyun Sung; Chanyoung Park 001 (CoRR, 2025)