Conventional Beamformer Using Post-filter for Speech Enhancement. - Soojeong Lee; Kiho Choi; Soonhyob Kim (ICHIT, 2006)

Speech Enhancement Using Masking of Noisy Power Estimates. - Soojeong Lee; Soonhyob Kim (FBIT, 2007)

Speech Enhancement Using Gain Function of Noisy Power Estimates and Linear Regression. - Soojeong Lee; Soonhyob Kim (FBIT, 2007)

Confidence Interval Estimation for Oscillometric Blood Pressure Measurements Using Bootstrap Approaches. - Soojeong Lee; Miodrag Bolic; Voicu Z. Groza; Hilmi R. Dajani; Sreeraman Rajan (IEEE Trans. Instrum. Meas., 2011)

Effects of an educational game with a situated learning strategy on Korean students' English writing abilities. - Walter Foreman; Soojeong Lee; Myeongseok Ko; Sangchul Bae; Sanghoon Han (Smart Comput. Rev., 2012)

Can Speaking Activities of Residents in a Virtual World Make Difference to Their Self-Expression? - Soojeong Lee (J. Educ. Technol. Soc., 2013)

On Using Maximum a Posteriori Probability Based on a Bayesian Model for Oscillometric Blood Pressure Estimation. - Soojeong Lee; Gwanggil Jeon; Gangseong Lee (Sensors, 2013)

Oscillometric Blood Pressure Estimation Based on Maximum Amplitude Algorithm Employing Gaussian Mixture Regression. - Soojeong Lee; Joon-Hyuk Chang; Sang Won Nam; Chungsoo Lim; Sreeraman Rajan; Hilmi R. Dajani; Voicu Z. Groza (IEEE Trans. Instrum. Meas., 2013)

A new a priori SNR estimator based on multiple linear regression technique for speech enhancement. - Soojeong Lee; Chungsoo Lim; Joon-Hyuk Chang (Digit. Signal Process., 2014)

Efficient Implementation of Statistical Model-Based Voice Activity Detection Using Taylor Series Approximation. - Chungsoo Lim; Soojeong Lee; Jae-Hun Choi; Joon-Hyuk Chang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014)

Estimated confidence interval from single blood pressure measurement based on algorithmic fusion. - Soojeong Lee; Sreeraman Rajan; Chee-Hyun Park; Joon-Hyuk Chang; Hilmi R. Dajani; Voicu Z. Groza (Comput. Biol. Medicine, 2015)

Shrinkage-based biased signal-to-noise ratio estimator using pilot and data symbols for linearly modulated signals. - Chee-Hyun Park; Soojeong Lee; Joon-Hyuk Chang (IET Commun., 2015)

Robust closed-form time-of-arrival source localization based on α-trimmed mean and Hodges-Lehmann estimator under NLOS environments. - Chee-Hyun Park; Soojeong Lee; Joon-Hyuk Chang (Signal Process., 2015)

Noise Estimation and Suppression Using Nonlinear Function with A Priori Speech Absence Probability in Speech Enhancement. - Soojeong Lee; Gangseong Lee (J. Sensors, 2016)

On using multivariate polynomial regression model with spectral difference for statistical model-based speech enhancement. - Soojeong Lee; Joon-Hyuk Chang (J. Syst. Archit., 2016)

Improved Gaussian Mixture Regression Based on Pseudo Feature Generation Using Bootstrap in Blood Pressure Estimation. - Soojeong Lee; Chee-Hyun Park; Joon-Hyuk Chang (IEEE Trans. Ind. Informatics, 2016)

Deep Belief Networks Ensemble for Blood Pressure Estimation. - Soojeong Lee; Joon-Hyuk Chang (IEEE Access, 2017)

Oscillometric blood pressure estimation by combining nonparametric bootstrap with Gaussian mixture model. - Soojeong Lee; Sreeraman Rajan; Gwanggil Jeon; Joon-Hyuk Chang; Hilmi R. Dajani; Voicu Z. Groza (Comput. Biol. Medicine, 2017)

Deep learning ensemble with asymptotic techniques for oscillometric blood pressure estimation. - Soojeong Lee; Joon-Hyuk Chang (Comput. Methods Programs Biomed., 2017)

Spectral difference for statistical model-based speech enhancement in speech recognition. - Soojeong Lee; Joon-Hyuk Chang (Multim. Tools Appl., 2017)

Oscillometric Blood Pressure Estimation Based on Deep Learning. - Soojeong Lee; Joon-Hyuk Chang (IEEE Trans. Ind. Informatics, 2017)

Combining Bootstrap Aggregation with Support Vector Regression for Small Blood Pressure Measurement. - Soojeong Lee; Awais Ahmad 001; Gwanggil Jeon (J. Medical Syst., 2018)

Statistical Approaches Based on Deep Learning Regression for Verification of Normality of Blood Pressure Estimates. - Soojeong Lee; Gangseong Lee; Gwanggil Jeon (Sensors, 2019)

Multi-Phases and Various Feature Extraction and Selection Methodology for Ensemble Gradient Boosting in Estimating Respiratory Rate. - Soojeong Lee; Chang-Hwan Son; Marcelo Keese Albertini; Henrique C. Fernandes (IEEE Access, 2020)

Ensemble Methodology for Confidence Interval in Oscillometric Blood Pressure Measurements. - Soojeong Lee; Gaseong Lee (J. Medical Syst., 2020)

Support Vector Regression-Based Recursive Ensemble Methodology for Confidence Interval Estimation in Blood Pressure Measurements. - Soojeong Lee; Gangseong Lee (J. Sensors, 2020)

Uncertainty in Blood Pressure Measurement Estimated Using Ensemble-Based Recursive Methodology. - Soojeong Lee; Hilmi R. Dajani; Sreeraman Rajan; Gangseong Lee; Voicu Z. Groza (Sensors, 2020)

Performance Evaluation of Partial Offloading under Various Scenarios in Mobile Edge Computing. - Seokbeom Oh; Soojeong Lee; Yong-Geun Hong; Gyuyeol Kong; Hyun-Kook Kahng (ICACT, 2022)

Dual-Sensor Signals Based Exact Gaussian Process-Assisted Hybrid Feature Extraction and Weighted Feature Fusion for Respiratory Rate and Uncertainty Estimations. - Soojeong Lee; Hyeonjoon Moon; Mugahed A. Al-antari; Gangseong Lee (Sensors, 2022)

Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention. - Kwanhyung Lee; Soojeong Lee; Sangchul Hahn; Heejung Hyun; Edward Choi; Byungeun Ahn; Joohyung Lee 003 (MLHC, 2023)

Automatic Features Extraction Integrated With Exact Gaussian Process for Respiratory Rate and Uncertainty Estimations. - Soojeong Lee; Gangseong Lee (IEEE Access, 2023)

Slot-Mixup with Subsampling: A Simple Regularization for WSI Classification. - Seongho Keum; Sanghyun Kim; Soojeong Lee; Juho Lee 001 (CoRR, 2023)

ROI-aware multiscale cross-attention vision transformer for pest image identification. - Ga-Eun Kim; Chang-Hwan Son; Soojeong Lee (Comput. Electron. Agric., 2025)

Passivity-Based Robust Shape Control of a Cable-Driven Solar Sail Boom for the CABLESSail Concept. - Soojeong Lee; Ryan J. Caverly (CoRR, 2025)

Adaptive Task Vectors for Large Language Models. - Joonseong Kang; Soojeong Lee; Subeen Park; Sumin Park; Taero Kim; Jihee Kim; Ryunyi Lee; Kyungwoo Song (CoRR, 2025)