Experimental Analysis of Clipping and Filtering Effects on OFDM Systems. - Taewoo Lee; Hideki Ochiai (ICC, 2010)

Peak power reduction of SC-FDMA signals based on trellis shaping. - Taewoo Lee; Hideki Ochiai (GLOBECOM, 2012)

A Delay-Aware Scheduling for Data Aggregation in Duty-Cycled Wireless Sensor Networks. - Taewoo Lee; Dongsoo S. Kim; Hyunseung Choo; Mihui Kim (MSN, 2013)

Real-time detection of speed-limit traffic signs on the real road using Haar-like features and boosted cascade. - Won J. Jeon; Gustavo Adrian Ruiz Sanchez; Taewoo Lee; Yeongwoo Choi; Byeongdae Woo; Kwangyong Lim; Hyeran Byun (ICUIMC, 2014)

Real-time illumination-invariant speed-limit sign recognition based on a modified census transform and support vector machines. - Kwangyong Lim; Taewoo Lee; Changmok Shin; Soonwook Chung; Yeongwoo Choi; Hyeran Byun (ICUIMC, 2014)

Characterization of power spectral density for nonlinearly amplified OFDM signals based on cross-correlation coefficient. - Taewoo Lee; Hideki Ochiai (EURASIP J. Wirel. Commun. Netw., 2014)

Generalized Inverse Multiobjective Optimization with Application to Cancer Therapy. - Timothy C. Y. Chan; Tim Craig; Taewoo Lee; Michael B. Sharpe (Oper. Res., 2014)

Parallel SRP-PHAT for GPUs. - Taewoo Lee; Sukmoon Chang; Dongsuk Yook (Comput. Speech Lang., 2016)

Fast Sound Source Localization Using Two-Level Search Space Clustering. - Dongsuk Yook; Taewoo Lee; Youngkyu Cho (IEEE Trans. Cybern., 2016)

A New Trellis Shaping Design for Peak Power Reduction of SC-FDMA Signals With High-Order QAM. - Taewoo Lee; Hideki Ochiai (IEEE Trans. Veh. Technol., 2017)

Delay-aware tree construction and scheduling for data aggregation in duty-cycled wireless sensor networks. - Duc-Tai Le; Taewoo Lee; Hyunseung Choo (EURASIP J. Wirel. Commun. Netw., 2018)

Trade-off preservation in inverse multi-objective convex optimization. - Timothy C. Y. Chan; Taewoo Lee (Eur. J. Oper. Res., 2018)

Robust inverse optimization. - Kimia Ghobadi; Taewoo Lee; Houra Mahmoudzadeh; Daria Terekhov (Oper. Res. Lett., 2018)

On the structure of the inverse-feasible region of a linear program. - Onur Tavaslioglu; Taewoo Lee; Silviya Valeva; Andrew J. Schaefer (Oper. Res. Lett., 2018)

Maximum Entropy Method for Solving the Turbulent Channel Flow Problem. - Taewoo Lee (Entropy, 2019)

Inverse Optimization: Closed-Form Solutions, Geometry, and Goodness of Fit. - Timothy C. Y. Chan; Taewoo Lee; Daria Terekhov (Manag. Sci., 2019)

Lognormality in Turbulence Energy Spectra. - Taewoo Lee (Entropy, 2020)

Adaptable Multi-Domain Language Model for Transformer ASR. - Taewoo Lee; Min-Joong Lee; Tae Gyoon Kang; Seokyeoung Jung; Minseok Kwon; Yeona Hong; Jungin Lee; Kyoung-Gu Woo; Ho-Gyeong Kim; Jiseung Jeong; Jihyun Lee; Hosik Lee; et al. (ICASSP, 2021)

An Ensemble Learning Framework for Model Fitting and Evaluation in Inverse Linear Optimization. - Aaron Babier; Timothy C. Y. Chan; Taewoo Lee; Rafid Mahmood; Daria Terekhov (INFORMS J. Optim., 2021)

Utilizing Simulation to Update Routine Diabetic Retinopathy Screening Policies. - Poria Dorali; Rosangel Limongi; Fariha Kabir Torsha; Christina Y. Weng; Taewoo Lee (WSC, 2022)

Entropy and Turbulence Structure. - Taewoo Lee; J. E. Park (Entropy, 2022)

Objective Selection for Cancer Treatment: An Inverse Optimization Approach. - Temitayo Ajayi; Taewoo Lee; Andrew J. Schaefer (Oper. Res., 2022)

Quantile Inverse Optimization: Improving Stability in Inverse Linear Programming. - Zahed Shahmoradi; Taewoo Lee (Oper. Res., 2022)

Optimality-based clustering: An inverse optimization approach. - Zahed Shahmoradi; Taewoo Lee (Oper. Res. Lett., 2022)

Dynamic Optimization Framework for Multi-Hop Code Offloading in LEO Satellite Edge Computing. - Jeonghwan Kim; Taewoo Lee; Jeongho Kwak (ICTC, 2023)

KoBigBird-large: Transformation of Transformer for Korean Language Understanding. - Kisu Yang; Yoonna Jang; Taewoo Lee; Jinwoo Seong; Hyungjin Lee; Hwanseok Jang; Heuiseok Lim (CoRR, 2023)

A note on the implications of approximate submodularity in discrete optimization. - Temitayo Ajayi; Taewoo Lee; Andrew J. Schaefer (Optim. Lett., 2023)

New Decision for QAM Based on SVM for Complex Impairments. - Yeonsoo Jang; Taewoo Lee; Dongweon Yoon (IEEE Trans. Veh. Technol., 2023)

Maximum Activation 3D Cube Transition System for Virtual Emotion Surveillance. - Taewoo Lee; Jalel Ben-Othman; Hyunbum Kim (IEEE Commun. Lett., 2023)

Characterizing Rational Transplant Program Response to Outcome-Based Regulation. - David T. Mildebrath; Taewoo Lee; Saumya Sinha; Andrew J. Schaefer; A. Osama Gaber (Oper. Res., 2024)

Enhancing Smart Building Surveillance Systems in Thin Walls: An Efficient Barrier Design. - Taewoo Lee; Hyunbum Kim (Sensors, 2024)

Designing deep learning-enabled surveillance model with classified security levels for smart area networks. - Taewoo Lee; Hyunbum Kim; Sherali Zeadally (Ad Hoc Networks, 2025)

The inverse optimal value problem for linear fractional programming. - Sina Nadi; Taewoo Lee; Oleg A. Prokopyev (Oper. Res. Lett., 2025)