Improved Approximation Algorithm for Connected Facility Location Problems. - Mohammad Khairul Hasan; Hyunwoo Jung; Kyung-Yong Chwa (COCOA, 2007)

Improved Primal-Dual Approximation Algorithm for the Connected Facility Location Problem. - Hyunwoo Jung; Mohammad Khairul Hasan; Kyung-Yong Chwa (COCOA, 2008)

Approximation algorithms for connected facility location problems. - Mohammad Khairul Hasan; Hyunwoo Jung; Kyung-Yong Chwa (J. Comb. Optim., 2008)

A 6.55 factor primal-dual approximation algorithm for the connected facility location problem. - Hyunwoo Jung; Mohammad Khairul Hasan; Kyung-Yong Chwa (J. Comb. Optim., 2009)

The Balloon Popping Problem Revisited: Lower and Upper Bounds. - Hyunwoo Jung; Kyung-Yong Chwa (Theory Comput. Syst., 2011)

New Finger Biometric Method Using Near Infrared Imaging. - Eui Chul Lee; Hyunwoo Jung; Daeyeoul Kim (Sensors, 2011)

Learning What to Remember: Long-term Episodic Memory Networks for Learning from Streaming Data. - Hyunwoo Jung; Moonsu Han; Minki Kang; Sung Ju Hwang (CoRR, 2018)

Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data. - Moonsu Han; Minki Kang; Hyunwoo Jung; Sung Ju Hwang (ACL (1), 2019)

Machine Learning without Real-world Data. - Hyunwoo Jung; Cholmin Kang; Youngki Lee 001 (MobiSys, 2019)

Towards Machine Learning with Zero Real-World Data. - Cholmin Kang; Hyunwoo Jung; Youngki Lee 001 (WearSys@MobiSys, 2019)

Machine learning approach to predict center of pressure trajectories in a complete gait cycle: a feedforward neural network vs. LSTM network. - Ahnryul Choi; Hyunwoo Jung; Ki Young Lee; Sangsik Lee; Joung Hwan Mun (Medical Biol. Eng. Comput., 2019)

Single Inertial Sensor-Based Neural Networks to Estimate COM-COP Inclination Angle During Walking. - Ahnryul Choi; Hyunwoo Jung; Joung Hwan Mun (Sensors, 2019)

Quantum Maximum Likelihood Decoding for Linear Block Codes. - Hyunwoo Jung; Jeonghwan Kang; Jeongseok Ha (ICTC, 2020)

Predicting Center of Gravity Displacement During Walking Using a Single Inertial Sensor and Deep Learning Technique. - Ahnryul Choi; Hyunwoo Jung; Hyunggun Kim; Joung Hwan Mun (J. Medical Imaging Health Informatics, 2020)

Insole System-Based Neural Network Model to Evaluate Force Risk in Cube Method: Application to Pepper Farming Tasks. - Hyunwoo Jung; Ahnryul Choi; Jose Moon; Seung Heon Chae; Kyungsuk Lee; Kyungran Kim; Joung Hwan Mun (J. Medical Imaging Health Informatics, 2020)

Quantum-Assisted Decoding for Non-Binary Low-Density Parity-Check Codes. - Hyunwoo Jung; Jeonghwan Kang; Jeongseok Ha (ICTC, 2021)

Experimental Demonstration of 3 × 3 MIMO LED-to-LED Communication Using RGB Colors. - Hyunwoo Jung; Sung-Man Kim (Sensors, 2021)

Simultaneous Sporadic Sensor Anomaly Detection for Smart Homes. - Hyunwoo Jung; Wootack Kim; Hyuna Seo; Youngki Lee 001 (SenSys, 2022)

A Study on Thermal Issues in Mobile Extended Reality Applications. - Hyunwoo Jung; Juheon Yi; Youngki Lee 001 (SenSys, 2022)

Machine Learning Strategies for Low-Cost Insole-Based Prediction of Center of Gravity during Gait in Healthy Males. - Jose Moon; Dongjun Lee; Hyunwoo Jung; Ahnryul Choi; Joung Hwan Mun (Sensors, 2022)

Spectrum Sharing Method in Satellite and Terrestrial Coexisting Networks. - Hyunwoo Jung; Jung-Bin Kim (ICTC, 2023)

Low-Complexity Decoding Algorithm Utilizing Degeneracy for Quantum LDPC Codes. - Jaemin Kim; Hyunwoo Jung; Jeongseok Ha (MILCOM, 2023)

Aggressive SRAM Voltage Scaling and Error Mitigation for Approximate DNN Inference. - Wootack Kim; Minkyu Shim; Hyunwoo Jung; Youngki Lee 001 (SmartWear@MobiCom, 2023)

IF-DSS: A forensic investigation framework for decentralized storage services. - Jihun Son; Gyubin Kim; Hyunwoo Jung; Jewan Bang; Jungheum Park (Forensic Sci. Int. Digit. Investig., 2023)

Protecting Terrestrial Networks in Cognitive Satellite-Terrestrial Networks: A NOMA-Based Protocol. - Hyunwoo Jung; Jung-Bin Kim (ICTC, 2024)

Multisensor Smart Glove With Unsupervised Learning Model for Real-Time Wrist Motion Analysis in Golf Swing Biomechanics. - Truong-Tien Vo; Quy Phuong Le; Hyunwoo Jung; Jaeyeop Choi; Thi Thu Ha Vu; Vu Hoang Minh Doan; Sudip Mondal; Jung-Hwan Oh 003 (IEEE Internet Things J., 2025)