Members

Ph.D. Students (박사 및 석박통합)

권나현(Nahyeon Kwon)

2022.12.19~2028.08.31 (Integrated Ph.D. course : 2023.09.01~2028.08.31)

B.S. : 16~21, Dept. of Business Administration, Sejong univ.

Researcher : 21~22, Dongguk univ.

Engineer : 20~21, Tomato System

e-mail : nhkwon9803@sju.ac.kr

Nahyeon Kwon, Bora Yoon, and Junghyun Kim, "Multi-Scale Convolution-Based Efficient Channel Estimation Techniques," Electronics, vol. 14(2), no. 307, pp. 1-18, Jan. 2025. (SCIE)
Yeji Cho, Nahyeon Kwon, Junghyun Kim, and Hong-Yeop Song, "Autoencoder-based Channel Denoiser for Block Codes," The journal of the KICS, vol. 49, no. 11, pp. 1607-1613, Nov. 2024. (KCI)
Yeji Cho, Nahyeon Kwon, Bora Yoon, and Junghyun Kim, "Multi-Modal Sensor Fusion for Predicting Sleep and Stress Patterns," International Conference on ICT Convergence (ICTC), Jeju Island, Korea, Oct. 16-18, 2024. [Encouragement Awards]
Nahyeon Kwon, Yerin Yeo, Yeji Cho, Bora Yoon, and Junghyun Kim, "Human Activity Inference from Communication Signal-Based Mobility Metadata," KICS Summer Conference, Jeju, Korea, Jun. 18-21, 2025.
Nahyeon Kwon and Junghyun Kim, "Mixnet: Neural RIS Phase Optimization via Interaction Mixing," KICS Summer Conference, Jeju, Korea, Jun. 18-21, 2025.
Jihyung Kim, Nahyeon Kwon, and Junghyun Kim, "A Study on Deep Learning-Based Channel Estimation Techniques in DMRS Bundling Environments," CEIC, Jeju, Korea, Dec. 11-13, 2024.
Nahyeon Kwon and Junghyun Kim, "MSResNet: A Deep Learning-based Channel Estimation Model using Multi-Scale Filter," KICS Fall Conference, Gyeongju, Korea, Nov. 20-22, 2024.
Nahyeon Kwon and Junghyun Kim, "Fast Channel Estimation Utilizing Haar Wavelet Transform-Based Diffusion Model," KICS Summer Conference, Jeju, Korea, Jun. 19-22, 2024.
Yeji Cho, Nahyeon Kwon, Junghyun Kim, and Hong-Yeop Song, "Autoencoder-based Channel Denoiser for Improving Polar Code Decoding," KICS Winter Conference, Yongpyong, Korea, Jan. 31-Feb. 2, 2024. [Best Paper Awards]
Nahyeon Kwon and Junghyun Kim, "Drug-Target Interaction Prediction using CapsNet," Korea Artificial Intelligence Conference, Jeju, Korea, Sep. 20-23, 2023.
Soyoung Yoo, Nahyeon Kwon, Hanbyul Lee, Yeji Cho, and Junghyun Kim, "DAEM-ERC: Data Augmentation and Ensemble-based Model for Emotion Recognition in Conversation," Korea Computer Congress, Jeju, Korea, Jun. 17-20, 2023.

조예지(Yeji Cho)

2021.07.01~2028.02.29 (Integrated Ph.D. course : 2023.03.01~2028.02.29)

B.S. : 19~23, Dept. of Bigdata Engineering, Soonchunhyang univ.

e-mail : yezy0390@sju.ac.kr

Yeji Cho, Nahyeon Kwon, Junghyun Kim, and Hong-Yeop Song, "Autoencoder-based Channel Denoiser for Block Codes," The journal of the KICS, vol. 49, no. 11, pp. 1607-1613, Nov. 2024. (KCI)
Jihyung Kim, Yeji Cho, and Junghyun Kim, "Edge Convolution Graph Neural Network assisted Power Allocation for Wireless IoT Networks," IEEE Access, vol. 12, pp. 129928-129939, Sep. 2024. (SCIE)
Yeji Cho, Nahyeon Kwon, Bora Yoon, and Junghyun Kim, "Multi-Modal Sensor Fusion for Predicting Sleep and Stress Patterns," International Conference on ICT Convergence (ICTC), Jeju Island, Korea, Oct. 16-18, 2024. [Encouragement Awards]
Jihyung Kim, Yeji Cho, and Junghyun Kim, "An Improved Graph Neural Network-based Power Control Method," International Conference on ICT Convergence (ICTC), Jeju Island, Korea, Oct. 16-18, 2024.
Yeji Cho, Junghyun Kim, and Hong-Yeop Song, "Noise-robust Federated Learning with Bayesian GMM Detection," KICS Korea Artificial Intelligence Conference, Jeju, Korea, Sep. 24-27, 2025.
Yeji Cho, Junghyun Kim, and Hong-Yeop Song, "Layered Neural BP Decoding with Learnable Weights," KICS Summer Conference, Jeju, Korea, Jun. 18-21, 2025.
Yeji Cho, Nahyeon Kwon, Junghyun Kim, and Hong-Yeop Song, "Autoencoder-based Channel Denoiser for Improving Polar Code Decoding," KICS Winter Conference, Yongpyong, Korea, Jan. 31-Feb. 2, 2024. [Best Paper Awards]
Yeji Cho and Junghyun Kim, "Hyper Attention based Model for Predicting Drug-target Binding Affinity," Korea Artificial Intelligence Conference, Jeju, Korea, Sep. 20-23, 2023.
Yeji Cho, Yerin Yeo, and Junghyun Kim, "Unsupervised Learning-based Multivariate Time Series Anomaly Detection Using GAN and AE," KICS Summer Conference, Jeju, Korea, Jun. 22-24, 2022.
Yeji Cho and Junghyun Kim, "Hyper Attention-based Model for Predicting MHC-peptide Binding," KICS Summer Conference, Jeju, Korea, Jun. 21-24, 2023.
Soyoung Yoo, Nahyeon Kwon, Hanbyul Lee, Yeji Cho, and Junghyun Kim, "DAEM-ERC: Data Augmentation and Ensemble-based Model for Emotion Recognition in Conversation," Korea Computer Congress, Jeju, Korea, Jun. 17-20, 2023.
Yeji Cho and Junghyun Kim, "An Improved Drug-Protein Interaction Prediction Model based on HyperAttentionDTI," KICS Summer Conference, Jeju, Korea, Jun. 21-24, 2023.

여예린(Yerin Yeo)

2021.07.01~2029.02.28 (M.S. course : 2023.03.01~2025.02.28, Ph.D. course : 2025.03.01~2029.02.28)

B.S. : 19~23, Dept. of Bigdata Engineering, Soonchunhyang univ.

e-mail : yerinee0949@sju.ac.kr

Yerin Yeo, Junghyun Kim, and Hong-Yeop Song, "Enhanced Semantic Communication Schemes for Speech Signals," IET Electronics Letters, vol. 60, no. 8, pp. 1-4, Apr. 2024. (SCI)
Yerin Yeo and Junghyun Kim, "Multi-Modal Sensing-assisted Beam Prediction for UAV Communications," The journal of the KICS, vol. 49, no. 9, pp. 1330-1336, Sep. 2024. (KCI)
Yerin Yeo and Junghyun Kim, "Multi-Modal Sensing-Aided Beam Prediction Using Poolformer for UAV Communications," IEEE ICUFN, Budapest, Hungary, Jul. 2-5, 2024.
Yerin Yeo, Seungmin Lee, and Junghyun Kim, "Violin Fingering Generation with Cross Gating-based Audio-Symbolic Fusion," KICS Summer Conference, Jeju, Korea, Jun. 18-21, 2025.
Yerin Yeo and Junghyun Kim, "Multi-Modal Sensing-assisted Beam Prediction for UAV Communications," KICS Winter Conference, Yongpyong, Korea, Jan. 31-Feb. 2, 2024. [Best Paper Awards]
Yerin Yeo, Junghyun Kim, and Hong-Yeop Song, "An Improved Semantic Communication System for Speech Transmission" KICS Winter Conference, Yongpyong, Korea, Feb. 8-10, 2023. [Best Paper Awards]
Yerin Yeo, Junghyun Kim, and Hong-Yeop Song, "A Low-Complexity Semantic Communication System for Speech Transmission," KICS Fall Conference, Gyeongju, Korea, Nov. 16-18, 2022.
Yeji Cho, Yerin Yeo, and Junghyun Kim, "Unsupervised Learning-based Multivariate Time Series Anomaly Detection Using GAN and AE," KICS Summer Conference, Jeju, Korea, Jun. 22-24, 2022.

M.S. Students (석사 및 학석연계)

박철현(Chulhyun Park)

2024.03.01~2026.02.28 (M.S. course : 2024.03.01~2026.02.28)

M.S. : 06~08, Dept. of Environmental Planning, Seoul National Univ.

B.S. : 98~02, Dept. of Civil and Environmental Engineering, Ajou univ.

Senior manager : Korea Expressway Corporation

e-mail : ajte98@ex.co.kr

Chulhyun Park and Junghyun Kim, "Study on Expressway Traffic Volume Prediction Based on Socio-Economic Indicators Using Deep Learning," Journal of Korean Society of Transportation, vol. 43, no. 3, pp. 265-281, Jun. 2025.

윤보라(Bora Yoon)

2024.05.28~2027.02.28 (M.S. course : 2025.09.01~2027.02.28)

B.S. : 22~25, Dept. of Artificial Intelligence, Sejong univ.

e-mail : boray0614@sju.ac.kr

Nahyeon Kwon, Bora Yoon, and Junghyun Kim, "Multi-Scale Convolution-Based Efficient Channel Estimation Techniques," Electronics, vol. 14(2), no. 307, pp. 1-18, Jan. 2025. (SCIE)
Bora Yoon, Junghyun Kim, Dukhyun You, and JunHwan Lee, "Performance Evaluation of Deep Learning-Based CSI Feedback in FDD Massive MIMO," International Conference on ICT Convergence (ICTC), Jeju Island, Korea, Oct. 14-17, 2025.
Bora Yoon and Junghyun Kim, "SemantIC++: Enhancing Semantic Accuracy and Signal Fidelity for 6G Communications," IEEE ICECET, Paris, France, Jul. 3-6, 2025.
Yeji Cho, Nahyeon Kwon, Bora Yoon, and Junghyun Kim, "Multi-Modal Sensor Fusion for Predicting Sleep and Stress Patterns," International Conference on ICT Convergence (ICTC), Jeju Island, Korea, Oct. 16-18, 2024. [Encouragement Awards]
Bora Yoon, Junghyun Kim, Hyojeong Choi, and Hong-Yeop Song, "Binary Sequence Generation via Mixer-based Neural Networks," KICS Summer Conference, Jeju, Korea, Jun. 18-21, 2025. [Best Paper Awards]
Bora Yoon, Nahyeon Kwon, and Junghyun Kim, "CAMP-Net: Convolutional Attention and Multi-Path Network for Channel Estimation," KICS Fall Conference, Gyeongju, Korea, Nov. 20-22, 2024.

장현성(Hyeonseong Chang)

2024.07.08~2028.02.28 (M.S. course : 2026.09.01~2028.02.28)

B.S. : 23~27, Dept. of Artificial Intelligence, Sejong univ.

e-mail : 23012724@sju.ac.kr

Alumni

유소영 (Soyoung Yoo)

SK AX

2020.09.01~2024.08.31 (M.S. course : 2022.03.01~2024.08.31)

B.S. : 17~22, Dept. of Bigdata Engineering, Soonchunhyang univ.

e-mail : yooso0731@gmail.com

Soyoung Yoo and Junghyun Kim, "Adapt-cMolGPT: A Conditional Generative Pre-trained Transformer with Adapter-based Fine-tuning for Target-specific Molecular Generation," International Journal of Molecular Sciences, vol. 25(12), no. 6641, pp. 1-14, Jun. 2024. (SCIE)
Soyoung Yoo, Hanbyul Lee, and Junghyun Kim, "Deep Learning for Identifying Promising Drug Candidates in Drug-Phospholipid Complexes," Molecules, vol. 28(12), no. 4821, pp. 1-15, Jun. 2023. (SCIE)
Soyoung Yoo, Junghyun Kim, and Guang J. Choi, "Drug Properties Prediction Based on Deep Learning," Pharmaceutics, vol. 14(2), no. 467, pp. 1-11, Feb. 2022. (SCIE)
Soyoung Yoo and Junghyun Kim, "Enhanced INT-GNN: Enhanced user intention aware graph neural network for session-based recommender systems," KICS Winter Conference, Yongpyong, Korea, Jan. 31-Feb. 2, 2024.
Jihyung Kim, Soyoung Yoo, and Junghyun Kim, "Residual Attention Assisted Calibrated Beam Training for mmWave Communication Systems," IEEE ICCCN, Honolulu, Hawaii, USA, Jul. 24-27, 2023.
Jihyung Kim, Soyoung Yoo, and Junghyun Kim, "Parallel Network Assisted Calibrated Beam Training for mmWave Communication Systems," IEEE ICUFN, Paris, France, Jul. 4-7, 2023.
Soyoung Yoo, Hanbyul Lee, Junghyun Kim, and Hong-Yeop Song, "A Novel Scheduling Technique for Error Correction Codes based on Denoising Diffusion Probabilistic Model," KICS Summer Conference, Jeju, Korea, Jun. 21-24, 2023.
Soyoung Yoo, Nahyeon Kwon, Hanbyul Lee, Yeji Cho, and Junghyun Kim, "DAEM-ERC: Data Augmentation and Ensemble-based Model for Emotion Recognition in Conversation," Korea Computer Congress, Jeju, Korea, Jun. 17-20, 2023.
Soyoung Yoo, and Junghyun Kim, "A New Design of Deep Learning Model for Automatic Detection of Coded Signals," KICS Fall Conference, Gyeongju, Korea, Nov. 16-18, 2022.
Soyoung Yoo and Junghyun Kim, "Residual LSTM for De Novo drug design," Korea Artificial Intelligence Conference, Jeju, Korea, Sep. 28-30, 2022.
Soyoung Yoo and Junghyun Kim, "Deep Learning-based Automatic Detection of Signals Encoded with Convolutional Codes," KICS Summer Conference, Jeju, Korea, Jun. 22-24, 2022.
Soyoung Yoo, Hanbyul Lee, and Junghyun Kim, "Deep Learning-based Drug/Phospholid Complexation Formulation Prediction," KICS Winter Conference, Pyeongchang, Korea, Feb. 9-11, 2022.

이한별 (Hanbyul Lee)

2020.03.01~2024.08.31 (M.S. course : 2022.03.01~2024.08.31)

B.S. : 18~22, Dept. of Bigdata Engineering, Soonchunhyang univ.

e-mail : 99dlgksquf@naver.com

Hanbyul Lee and Junghyun Kim, "EDiffuRec: An Enhanced Diffusion Model for Sequential Recommendation," Mathematics, vol. 12(12), no. 1795, pp. 1-14, Jun. 2024. (SCIE)
Hanbyul Lee, Junghyun Kim, Suyeon Kim, Jimin Yoo, Guang J. Choi, and Young-Seob Jeong, "Deep Learning-based Prediction of Physical Stability Considering Class Imbalance for Amorphous Solid Dispersions," Journal of Chemistry, vol. 2022, 4148443, pp. 1-11, Mar. 2022. (SCIE)
Soyoung Yoo, Hanbyul Lee, and Junghyun Kim, "Deep Learning for Identifying Promising Drug Candidates in Drug-Phospholipid Complexes," Molecules, vol. 28(12), no. 4821, pp. 1-15, Jun. 2023. (SCIE)
Hanbyul Lee and Junghyun Kim, "Combined Noise Distribution for Diffusion Recommender Systems," Korea Artificial Intelligence Conference, Jeju, Korea, Sep. 20-23, 2023.
Soyoung Yoo, Hanbyul Lee, Junghyun Kim, and Hong-Yeop Song, "A Novel Scheduling Technique for Error Correction Codes based on Denoising Diffusion Probabilistic Model," KICS Summer Conference, Jeju, Korea, Jun. 21-24, 2023.
Soyoung Yoo, Nahyeon Kwon, Hanbyul Lee, Yeji Cho, and Junghyun Kim, "DAEM-ERC: Data Augmentation and Ensemble-based Model for Emotion Recognition in Conversation," Korea Computer Congress, Jeju, Korea, Jun. 17-20, 2023.
Hanbyul Lee, Yelin Park, and Junghyun Kim, "Performance Analysis of Deep Learning-based Transmit Power Control Schemes for Interference Management," KICS Fall Conference, Yeosu, Korea, Nov. 17-19, 2021.

한소영 (Soyoung Han)

LG electronics -> ETRI

2021.08.09~2023.01.02 (M.S. course : 2021.03.01~2023.02.28) - co-advised by Hong-Yeop Song (Yonsei univ.)

M.S. : 21~23, Dept. of Electrical and Electronic Engineering, Yonsei Univ.

e-mail : sy.han@yonsei.ac.kr

Soyoung Han, Junghyun Kim, and Hong-Yeop Song, "A New Design of Channel Denoiser using Residual Autoencoder," IET Electronics Letters, vol. 59, no. 2, pp. 1-3, Jan. 2023. (SCI)
Soyoung Han, Junghyun Kim, and Hong-Yeop Song, "Comparison of complexity between HGN decoder with autoencoder denoiser and conventional polar SCL decoder," Korea Artificial Intelligence Conference, Jeju, Korea, Sep. 28-30, 2022.
Soyoung Han, Junghyun Kim, and Hong-Yeop Song, "A New Construction of Channel Denoiser Using Denoising Autoencoder," KICS Summer Conference, Jeju, Korea, Jun. 22-24, 2022.
Soyoung Han, Junghyun Kim, and Hong-Yeop Song, "Hyper-Graph-Network Decoder with Residual Learning Denoiser," KICS Winter Conference, Pyeongchang, Korea, Feb. 9-11, 2022.