Source and Relay Precoder Designs to Maximize Sum Rate in Two-Way Relay System with Multiple Sources. - Changdon In; Jae-Mo Kang; Hyung-Myung Kim (VTC Spring, 2015)

Detection of Pilot Contamination Attack for Multi-Antenna Based Secrecy Systems. - Jae-Mo Kang; Changdon In; Hyung-Myung Kim (VTC Spring, 2015)

Both Minimum MSE and Maximum SNR Channel Training Designs for MIMO AF Multi-Relay Networks with Spatially Correlated Fading. - Jae-Mo Kang; Hyung-Myung Kim (IEEE Signal Process. Lett., 2015)

Max-Min Energy-Efficiency Optimization in Wireless Powered Communication Network with Harvest-Then-Transmit Protocol. - Byungjo Kim; Jae-Mo Kang; Hyung-Myung Kim; Joohyun Lee (ICITCS, 2016)

Energy efficiency optimization in multi-antenna wireless powered communication network. - Byungjo Kim; Jae-Mo Kang; Hyung-Myung Kim; Joohyun Lee (ICTC, 2016)

Training Designs for Estimation of Spatially Correlated Fading Channels in MIMO Amplify-and-Forward Two-Way Multi-Relay Networks. - Jae-Mo Kang; Hyung-Myung Kim (IEEE Commun. Lett., 2016)

Optimal Training Design for MIMO-OFDM Two-Way Relay Networks. - Jae-Mo Kang; Il-Min Kim 001; Hyung-Myung Kim (IEEE Trans. Commun., 2017)

Joint Design of Optimal Precoding and Cooperative Jamming for Multiuser Secure Broadcast Systems. - Jae-Mo Kang; Jun Yang 010; Jeongseok Ha; Il-Min Kim 001 (IEEE Trans. Veh. Technol., 2017)

Rate-Energy Tradeoff and Decoding Error Probability-Energy Tradeoff for SWIPT in Finite Code Length. - Il-Min Kim 001; Dong In Kim; Jae-Mo Kang (IEEE Trans. Wirel. Commun., 2017)

Mode Switching for SWIPT Over Fading Channel With Nonlinear Energy Harvesting. - Jae-Mo Kang; Il-Min Kim 001; Dong In Kim (IEEE Wirel. Commun. Lett., 2017)

Channel Tracking for Wireless Energy Transfer: A Deep Recurrent Neural Network Approach. - Jae-Mo Kang; Chang-Jae Chun; Il-Min Kim 001; Dong In Kim (CoRR, 2018)

Adaptive Rate and Energy Harvesting Interval Control Based on Reinforcement Learning for SWIPT. - Chang-Jae Chun; Jae-Mo Kang; Il-Min Kim 001 (IEEE Commun. Lett., 2018)

Deep-Learning-Based Channel Estimation for Wireless Energy Transfer. - Jae-Mo Kang; Chang-Jae Chun; Il-Min Kim 001 (IEEE Commun. Lett., 2018)

Joint Optimal Mode Switching and Power Adaptation for Nonlinear Energy Harvesting SWIPT System Over Fading Channel. - Jae-Mo Kang; Il-Min Kim 001; Dong In Kim (IEEE Trans. Commun., 2018)

Joint Beamforming Design and Time Allocation for Wireless Powered Asymmetric Two-Way Multirelay Network. - Xinghua Jia; Chaozhu Zhang; Jae-Mo Kang; Il-Min Kim 001 (IEEE Trans. Veh. Technol., 2018)

Wireless Information and Power Transfer: Rate-Energy Tradeoff for Nonlinear Energy Harvesting. - Jae-Mo Kang; Il-Min Kim 001; Dong In Kim (IEEE Trans. Wirel. Commun., 2018)

Estimation of Time-Varying Channels in MIMO Two-Way Multi-Relay Systems. - Jae-Mo Kang; Il-Min Kim 001; Hyung-Myung Kim (IEEE Trans. Wirel. Commun., 2018)

Optimal User Grouping for Downlink NOMA. - Jae-Mo Kang; Il-Min Kim 001 (IEEE Wirel. Commun. Lett., 2018)

Deep Learning-Based Joint Pilot Design and Channel Estimation for Multiuser MIMO Channels. - Chang-Jae Chun; Jae-Mo Kang; Il-Min Kim 001 (IEEE Commun. Lett., 2019)

Deep Learning-Based Channel Estimation for Massive MIMO Systems. - Chang-Jae Chun; Jae-Mo Kang; Il-Min Kim 001 (IEEE Wirel. Commun. Lett., 2019)

Joint Tx Power Allocation and Rx Power Splitting for SWIPT System With Multiple Nonlinear Energy Harvesting Circuits. - Jae-Mo Kang; Il-Min Kim 001; Dong In Kim (IEEE Wirel. Commun. Lett., 2019)

Deep Learning Based Channel Estimation for MIMO Systems With Received SNR Feedback. - Jae-Mo Kang; Chang-Jae Chun; Il-Min Kim 001 (IEEE Access, 2020)

Error estimate for a universal function approximator of ReLU network with a local connection. - Jae-Mo Kang; Sunghwan Moon (CoRR, 2020)

Reinforcement Learning Based Adaptive Resource Allocation for Wireless Powered Communication Systems. - Jae-Mo Kang (IEEE Commun. Lett., 2020)

Intelligent Reflecting Surface: Joint Optimal Training Sequence and Refection Pattern. - Jae-Mo Kang (IEEE Commun. Lett., 2020)

Dynamic Power Splitting for SWIPT With Nonlinear Energy Harvesting in Ergodic Fading Channel. - Jae-Mo Kang; Chang-Jae Chun; Il-Min Kim 001; Dong In Kim (IEEE Internet Things J., 2020)

A Deep CNN-Based Ground Vibration Monitoring Scheme for MEMS Sensed Data. - Jae-Mo Kang; Il-Min Kim 001; Sangho Lee; Dong Woon Ryu; Jihoe Kwon (IEEE Geosci. Remote. Sens. Lett., 2020)

Joint Trajectory Design, Tx Power Allocation, and Rx Power Splitting for UAV-Enabled Multicasting SWIPT Systems. - Jae-Mo Kang; Chang-Jae Chun (IEEE Syst. J., 2020)

Deep RNN-Based Channel Tracking for Wireless Energy Transfer System. - Jae-Mo Kang; Chang-Jae Chun; Il-Min Kim 001; Dong In Kim (IEEE Syst. J., 2020)

Deep Learning-Based MIMO-NOMA With Imperfect SIC Decoding. - Jae-Mo Kang; Il-Min Kim 001; Chang-Jae Chun (IEEE Syst. J., 2020)

Optimal Training Design for MIMO Amplify-and-Forward Two-Way Relay Systems in the Presence of Interference. - Chang-Jae Chun; Jae-Mo Kang (IEEE Trans. Veh. Technol., 2020)

Deep Artificial Noise: Deep Learning-Based Precoding Optimization for Artificial Noise Scheme. - Sangseok Yun; Jae-Mo Kang; Il-Min Kim 001; Jeongseok Ha (IEEE Trans. Veh. Technol., 2020)

Joint Channel Estimation, Training Design, Tx Power Allocation, and Rx Power Splitting for MIMO SWIPT Systems. - Byungjo Kim; Jae-Mo Kang; Hyung-Myung Kim; Joonhyuk Kang (IEEE Commun. Lett., 2021)

Cooperative Inference of DNNs Over Noisy Wireless Channels. - Sangseok Yun; Jae-Mo Kang; Sooyong Choi; Il-Min Kim 001 (IEEE Trans. Veh. Technol., 2021)

A Robust Approach for Brain Tumor Detection in Magnetic Resonance Images Using Finetuned EfficientNet. - Hasnain Ali Shah; Faisal Saeed; Sangseok Yun; Jun-Hyun Park; Anand Paul 001; Jae-Mo Kang (IEEE Access, 2022)

MIMO-LoRa for High-Data-Rate IoT: Concept and Precoding Design. - Jae-Mo Kang (IEEE Internet Things J., 2022)

On the LoRa Modulation for IoT: Optimal Preamble Detection and Its Performance Analysis. - Jae-Mo Kang; Dong-Woo Lim; Kyu-Min Kang (IEEE Internet Things J., 2022)

An adaptive neighborhood based evolutionary algorithm with pivot- solution based selection for multi- and many-objective optimization. - Vikas Palakonda; Jae-Mo Kang; Heechul Jung (Inf. Sci., 2022)

Deep Learning-Based Ground Vibration Monitoring: Reinforcement Learning and RNN-CNN Approach. - Sangseok Yun; Jae-Mo Kang; Jeongseok Ha; Sangho Lee; Dong Woon Ryu; Jihoe Kwon; Il-Min Kim 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Ghostformer: A GhostNet-Based Two-Stage Transformer for Small Object Detection. - Sijia Li; Furkat Sultonov; Jamshid Tursunboev; Jun-Hyun Park; Sangseok Yun; Jae-Mo Kang (Sensors, 2022)

TA-Unet: Integrating Triplet Attention Module for Drivable Road Region Segmentation. - Sijia Li; Furkat Sultonov; Qingshan Ye; Yong Bai; Jun-Hyun Park; Chilsig Yang; Minseok Song; Sungwoo Koo; Jae-Mo Kang (Sensors, 2022)

MSE-Based Joint Transceiver and Passive Beamforming Designs for Intelligent Reflecting Surface-Aided MIMO Systems. - Jae-Mo Kang; Sangseok Yun; Il-Min Kim 001; Heechul Jung (IEEE Wirel. Commun. Lett., 2022)

Deep Learning based Channel Estimation for Full-Duplex Backscatter Communication Systems. - Chae Yoon Jung; Jae-Mo Kang; Dong In Kim (ICAIIC, 2023)

Many-Objective Real-World Engineering Problems: A Comparative Study of State-of-the-Art Algorithms. - Vikas Palakonda; Jae-Mo Kang (IEEE Access, 2023)

An Optimized Multi-Organ Cancer Cells Segmentation for Histopathological Images Based on CBAM-Residual U-Net. - Hasnain Ali Shah; Jae-Mo Kang (IEEE Access, 2023)

Efficient Demodulation Algorithms for MIMO-LoRa. - Jae-Mo Kang; Kae Won Choi (IEEE Internet Things J., 2023)

Transmit Power Adaptation for D2D Communications Underlaying SWIPT-Based IoT Cellular Networks. - Dong-Woo Lim; Chang-Jae Chun; Jae-Mo Kang (IEEE Internet Things J., 2023)

LoRa Preamble Detection With Optimized Thresholds. - Jae-Mo Kang (IEEE Internet Things J., 2023)

A New Index Modulation for LoRa. - Jae-Mo Kang (IEEE Internet Things J., 2023)

On the Quasi-Orthogonality of LoRa Modulation. - Jae-Mo Kang; Dong-Woo Lim (IEEE Internet Things J., 2023)

An effective ensemble framework for Many-Objective optimization based on AdaBoost and K-means clustering. - Vikas Palakonda; Jae-Mo Kang; Heechul Jung (Expert Syst. Appl., 2023)

Corrections to "Intelligent Reflecting Surface: Joint Optimal Training Sequence and Refection Pattern". - Jae-Mo Kang (IEEE Commun. Lett., 2023)

Redundancy Management in Federated Learning for Fast Communication. - Azadeh Motamedi; Sangseok Yun; Jae-Mo Kang; Yiqun Ge; Il-Min Kim 001 (IEEE Trans. Commun., 2023)

Pre-DEMO: Preference-Inspired Differential Evolution for Multi/Many-Objective Optimization. - Vikas Palakonda; Jae-Mo Kang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Erratum to "Pre-DEMO: Preference-Inspired Differential Evolution for Multi/Many-Objective Optimization". - Vikas Palakonda; Jae-Mo Kang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Benchmarking Real-World Many-Objective Problems: A Problem Suite With Baseline Results. - Vikas Palakonda; Jae-Mo Kang; Heechul Jung (IEEE Access, 2024)

Clustering-Aided Grid-Based One-to-One Selection-Driven Evolutionary Algorithm for Multi/Many-Objective Optimization. - Vikas Palakonda; Jae-Mo Kang; Heechul Jung (IEEE Access, 2024)

RandMixAugment: A Novel Unified Technique for Region- and Image-Level Data Augmentations. - Yosoeb Shin; Vikas Palakonda; Sangseok Yun; Il-Min Kim 001; Seon-Gon Kim; Sang-Mi Park; Jae-Mo Kang (IEEE Access, 2024)

SoccerNet 2024 Challenges Results. - Anthony Cioppa; Silvio Giancola; Vladimir Somers; Victor Joos; Floriane Magera; Jan Held; Seyed Abolfazl Ghasemzadeh; Xin Zhou 024; Karolina Seweryn; Mateusz Kowalczyk; Zuzanna Mróz; Szymon Lukasik; et al. (CoRR, 2024)

Hybrid millimeter wave heterogeneous networks with spatially correlated user equipment. - Arif Ullah; Ziaul Haq Abbas; Ghulam Abbas 002; Fazal Muhammad; Jae-Mo Kang (Digit. Commun. Networks, 2024)

A channel estimation method using denoising autoencoder for large-scale asymmetric backscatter systems. - Chae Yoon Jung; Jae-Mo Kang; Dong In Kim (ICT Express, 2024)

Corrections to "MIMO-LoRa for High-Data-Rate IoT: Concept and Precoding Design". - Jae-Mo Kang (IEEE Internet Things J., 2024)

Corrections to "LoRa Preamble Detection With Optimized Thresholds". - Jae-Mo Kang (IEEE Internet Things J., 2024)

Corrections to "On the Quasi-Orthogonality of LoRa Modulation". - Jae-Mo Kang; Dong-Woo Lim (IEEE Internet Things J., 2024)

Corrections to "On the LoRa Modulation for IoT: Optimal Preamble Detection and Its Performance Analysis". - Jae-Mo Kang; Dong-Woo Lim; Kyu-Min Kang (IEEE Internet Things J., 2024)

OCR-Diff: A Two-Stage Deep Learning Framework for Optical Character Recognition Using Diffusion Model in Industrial Internet of Things. - Chaewon Park; Vikas Palakonda; Sangseok Yun; Il-Min Kim 001; Jae-Mo Kang (IEEE Internet Things J., 2024)

Deep-Learning-Based Robust Channel Estimation for MIMO IoT Systems. - Jae-Mo Kang (IEEE Internet Things J., 2024)

RobuT-Net: Dual-CNN-Based Robust Training Sequence Design for IoT Systems. - Jae-Mo Kang (IEEE Internet Things J., 2024)

Deep Learning Enabled Multicast Beamforming With Movable Antenna Array. - Jae-Mo Kang (IEEE Wirel. Commun. Lett., 2024)

On the LoRa Modulation for IoT: Preamble Designs for Channel Estimation With Single- and Multi-Chirp Transmission Strategies. - Jae-Mo Kang (IEEE Internet Things J., 2024)

A Novel Training Design Algorithm for Kronecker-Inseparable MIMO Systems With General Power Constraints. - Jae-Mo Kang (IEEE Trans. Veh. Technol., 2024)

Corrections to "Deep Learning Enabled Multicast Beamforming With Movable Antenna Array". - Jae-Mo Kang (IEEE Wirel. Commun. Lett., 2024)

Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data. - Yuchuan Li; Jae-Mo Kang; Il-Min Kim 001 (CVPR, 2025)

Metaheuristics for pruning convolutional neural networks: A comparative study. - Vikas Palakonda; Jamshid Tursunboev; Jae-Mo Kang; Sunghwan Moon (Expert Syst. Appl., 2025)

DASK-Net: A Lightweight Dual-Attention Selective Kernel Network for Efficient Dense Prediction in Remote Sensing Imagery. - Furkat Sultonov; Sangseok Yun; Jae-Mo Kang (IEEE Trans. Geosci. Remote. Sens., 2025)

Corrections to "DASK-Net: A Lightweight Dual-Attention Selective Kernel Network for Efficient Dense Prediction in Remote Sensing Imagery". - Furkat Sultonov; Sangseok Yun; Jae-Mo Kang (IEEE Trans. Geosci. Remote. Sens., 2025)

Generative-Diffusion-Model-Based Deep-Learning Framework for Remaining Useful Life Prediction. - Sangjun Ha; Mingyu Sung; Faisal Saeed; Sangseok Yun; Il-Min Kim 001; Jae-Mo Kang (IEEE Internet Things J., 2025)

NMAP-Net: Deep-Learning-Aided Near-Field Multibeamforming Design and Antenna Position Optimization for XL-MIMO Communications. - Jae-Mo Kang (IEEE Internet Things J., 2025)

DeCo-MeSC: Deep Compression-Based Memory-Constrained Split Computing Framework for Cooperative Inference of Neural Network. - Mingyu Sung; Vikas Palakonda; Il-Min Kim 001; Sangseok Yun; Jae-Mo Kang (IEEE Trans. Veh. Technol., 2025)