Jae-Mo Kang

95 papers A* 1Journal 89Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
DeepQ-MIMO: A Deep-Learned Quantum MIMO System With Rydberg Atomic Receiver in IoT.
IEEE Internet Things J.
Jae-Mo Kang, Sangseok Yun, Il-Min Kim
2026 J jnl
H2-Cache: A Novel Hierarchical Dual-Stage Cache for High-Performance Acceleration of Generative Diffusion Models.
IEEE Open J. Comput. Soc.
Mingyu Sung, Il-Min Kim, Sangseok Yun, Jae-Mo Kang
2026 J jnl
How Much Training Is Required for Channel Estimation in Fluid Antenna System?
IEEE J. Sel. Areas Commun.
Jae-Mo Kang, Il-Min Kim
2026 J jnl
Multi-Objective Optimisation Framework for Heterogeneous Federated Learning.
CAAI Trans. Intell. Technol.
Jamshid Tursunboev, Vikas Palakonda, Il-Min Kim, Sunghwan Moon, Jae-Mo Kang
2026 J jnl
RTF-Skip-GANomaly: A Novel Deep Learning Framework for Anomaly Detection in Run-to-Failure Data Using Skip-GANomaly Backbone.
IEEE Signal Process. Lett.
Hyeon-Uk Lee, Suhwan Im, Seung-Jae Ham, Il-Min Kim, Jae-Mo Kang
2025 J jnl
A Novel VLM-Guided Diffusion Model for Remote Sensing Image Super-Resolution.
IEEE Geosci. Remote. Sens. Lett.
Mingyu Sung, Mu-Gyeong Gong, Seung-Jae Ham, Il-Min Kim, Sangseok Yun, Jae-Mo Kang
2025 A* conf
Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data.
CVPR
Yuchuan Li, Jae-Mo Kang, Il-Min Kim
2025 J jnl
CaMPASS-Net: A Deep Learning Framework on Capacity Maximization for MIMO Pinching Antenna Systems in IoT.
IEEE Internet Things J.
Jae-Mo Kang, Sangseok Yun, Il-Min Kim
2025 J jnl
Corrections to "DASK-Net: A Lightweight Dual-Attention Selective Kernel Network for Efficient Dense Prediction in Remote Sensing Imagery".
IEEE Trans. Geosci. Remote. Sens.
Furkat Sultonov, Sangseok Yun, Jae-Mo Kang
2025 J jnl
DASK-Net: A Lightweight Dual-Attention Selective Kernel Network for Efficient Dense Prediction in Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens.
Furkat Sultonov, Sangseok Yun, Jae-Mo Kang
2025 J jnl
DeCo-MeSC: Deep Compression-Based Memory-Constrained Split Computing Framework for Cooperative Inference of Neural Network.
IEEE Trans. Veh. Technol.
Mingyu Sung, Vikas Palakonda, Il-Min Kim, Sangseok Yun, Jae-Mo Kang
2025 J jnl
GLYPH-SR: Can We Achieve Both High-Quality Image Super-Resolution and High-Fidelity Text Recovery via VLM-guided Latent Diffusion Model?
CoRR
Mingyu Sung, Seung-Jae Ham, Kangwoo Kim, Yeokyoung Yoon, Sangseok Yun, Il-Min Kim, Jae-Mo Kang
2025 J jnl
Generative-Diffusion-Model-Based Deep-Learning Framework for Remaining Useful Life Prediction.
IEEE Internet Things J.
Sangjun Ha, Mingyu Sung, Faisal Saeed, Sangseok Yun, Il-Min Kim, Jae-Mo Kang
2025 J jnl
H2-Cache: A Novel Hierarchical Dual-Stage Cache for High-Performance Acceleration of Generative Diffusion Models.
CoRR
Mingyu Sung, Il-Min Kim, Sangseok Yun, Jae-Mo Kang
2025 J jnl
Memory- and Latency-Constrained Inference of Large Language Models via Adaptive Split Computing.
CoRR
Mingyu Sung, Vikas Palakonda, Suhwan Im, Sunghwan Moon, Il-Min Kim, Sangseok Yun, Jae-Mo Kang
2025 J jnl
Metaheuristics for pruning convolutional neural networks: A comparative study.
Expert Syst. Appl.
Vikas Palakonda, Jamshid Tursunboev, Jae-Mo Kang, Sunghwan Moon
2025 J jnl
NMAP-Net: Deep-Learning-Aided Near-Field Multibeamforming Design and Antenna Position Optimization for XL-MIMO Communications.
IEEE Internet Things J.
Jae-Mo Kang
2025 J jnl
No Pose Estimation? No Problem: Pose-Agnostic and Instance-Aware Test-Time Adaptation for Monocular Depth Estimation.
CoRR
Mingyu Sung, Hyeonmin Choe, Il-Min Kim, Sangseok Yun, Jae-Mo Kang
2025 J jnl
Range Asymmetric Numeral Systems-Based Lightweight Intermediate Feature Compression for Split Computing of Deep Neural Networks.
CoRR
Mingyu Sung, Suhwan Im, Vikas Palakonda, Jae-Mo Kang
2025 J jnl
Why Should the Server Do It All?: A Scalable, Versatile, and Model-Agnostic Framework for Server-Light DNN Inference over Massively Distributed Clients via Training-Free Intermediate Feature Compression.
CoRR
Mingyu Sung, Suhwan Im, Daeho Bang, Il-Min Kim, Sangseok Yun, Jae-Mo Kang
2024 J jnl
A Novel Training Design Algorithm for Kronecker-Inseparable MIMO Systems With General Power Constraints.
IEEE Trans. Veh. Technol.
Jae-Mo Kang
2024 J jnl
A channel estimation method using denoising autoencoder for large-scale asymmetric backscatter systems.
ICT Express
Chae Yoon Jung, Jae-Mo Kang, Dong In Kim
2024 J jnl
Benchmarking Real-World Many-Objective Problems: A Problem Suite With Baseline Results.
IEEE Access
Vikas Palakonda, Jae-Mo Kang, Heechul Jung
2024 J jnl
Clustering-Aided Grid-Based One-to-One Selection-Driven Evolutionary Algorithm for Multi/Many-Objective Optimization.
IEEE Access
Vikas Palakonda, Jae-Mo Kang, Heechul Jung
2024 J jnl
Corrections to "Deep Learning Enabled Multicast Beamforming With Movable Antenna Array".
IEEE Wirel. Commun. Lett.
Jae-Mo Kang
2024 J jnl
Corrections to "LoRa Preamble Detection With Optimized Thresholds".
IEEE Internet Things J.
Jae-Mo Kang
2024 J jnl
Corrections to "MIMO-LoRa for High-Data-Rate IoT: Concept and Precoding Design".
IEEE Internet Things J.
Jae-Mo Kang
2024 J jnl
Corrections to "On the LoRa Modulation for IoT: Optimal Preamble Detection and Its Performance Analysis".
IEEE Internet Things J.
Jae-Mo Kang, Dong-Woo Lim, Kyu-Min Kang
2024 J jnl
Corrections to "On the Quasi-Orthogonality of LoRa Modulation".
IEEE Internet Things J.
Jae-Mo Kang, Dong-Woo Lim
2024 J jnl
Deep Learning Enabled Multicast Beamforming With Movable Antenna Array.
IEEE Wirel. Commun. Lett.
Jae-Mo Kang
2024 J jnl
Deep-Learning-Based Robust Channel Estimation for MIMO IoT Systems.
IEEE Internet Things J.
Jae-Mo Kang
2024 J jnl
Hybrid millimeter wave heterogeneous networks with spatially correlated user equipment.
Digit. Commun. Networks
Arif Ullah, Ziaul Haq Abbas, Ghulam Abbas, Fazal Muhammad, Jae-Mo Kang
2024 J jnl
OCR-Diff: A Two-Stage Deep Learning Framework for Optical Character Recognition Using Diffusion Model in Industrial Internet of Things.
IEEE Internet Things J.
Chaewon Park, Vikas Palakonda, Sangseok Yun, Il-Min Kim, Jae-Mo Kang
2024 J jnl
On the LoRa Modulation for IoT: Preamble Designs for Channel Estimation With Single- and Multi-Chirp Transmission Strategies.
IEEE Internet Things J.
Jae-Mo Kang
2024 J jnl
RandMixAugment: A Novel Unified Technique for Region- and Image-Level Data Augmentations.
IEEE Access
Yosoeb Shin, Vikas Palakonda, Sangseok Yun, Il-Min Kim, Seon-Gon Kim, Sang-Mi Park, Jae-Mo Kang
2024 J jnl
RobuT-Net: Dual-CNN-Based Robust Training Sequence Design for IoT Systems.
IEEE Internet Things J.
Jae-Mo Kang
2024 J jnl
SoccerNet 2024 Challenges Results.
CoRR
Anthony Cioppa, Silvio Giancola, Vladimir Somers, Victor Joos, Floriane Magera, Jan Held, Seyed Abolfazl Ghasemzadeh, Xin Zhou, Karolina Seweryn, Mateusz Kowalczyk, Zuzanna Mróz, Szymon Lukasik, Michal Halon, Hassan Mkhallati, Adrien Deliège, Carlos Hinojosa, Karen Sanchez, Amir M. Mansourian, Pierre Miralles, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Adam Gorski, Albert Clapés, Andrei Boiarov, Anton Afanasiev, Artur Xarles, Atom Scott, Byoungkwon Lim, Calvin Yeung, Cristian Gonzalez, Dominic Rüfenacht, Enzo Pacilio, Fabian Deuser, Faisal Sami Altawijri, Francisco Cachón, Hankyul Kim, Haobo Wang, Hyeonmin Choe, Hyunwoo J. Kim, Il-Min Kim, Jae-Mo Kang, Jamshid Tursunboev, Jian Yang, Jihwan Hong, Jimin Lee, Jing Zhang, Junseok Lee, Kexin Zhang, Konrad Habel, Licheng Jiao, Linyi Li, Marc Gutiérrez-Pérez, Marcelo Ortega, Menglong Li, Milosz Lopatto, Nikita Kasatkin, Nikolay Nemtsev, Norbert Oswald, Oleg Udin, Pavel Kononov, Pei Geng, Saad Ghazai Alotaibi, Sehyung Kim, Sergei Ulasen, Sergio Escalera, Shanshan Zhang, Shuyuan Yang, Sunghwan Moon, Thomas B. Moeslund, Vasyl Shandyba, Vladimir Golovkin, Wei Dai, WonTaek Chung, Xinyu Liu, Yongqiang Zhu, Youngseo Kim, Yuan Li, Yuting Yang, Yuxuan Xiao, Zehua Cheng, Zhihao Li
2023 J jnl
A New Index Modulation for LoRa.
IEEE Internet Things J.
Jae-Mo Kang
2023 J jnl
An Optimized Multi-Organ Cancer Cells Segmentation for Histopathological Images Based on CBAM-Residual U-Net.
IEEE Access
Hasnain Ali Shah, Jae-Mo Kang
2023 J jnl
An effective ensemble framework for Many-Objective optimization based on AdaBoost and K-means clustering.
Expert Syst. Appl.
Vikas Palakonda, Jae-Mo Kang, Heechul Jung
2023 J jnl
Corrections to "Intelligent Reflecting Surface: Joint Optimal Training Sequence and Refection Pattern".
IEEE Commun. Lett.
Jae-Mo Kang
2023 — conf
Deep Learning based Channel Estimation for Full-Duplex Backscatter Communication Systems.
ICAIIC
Chae Yoon Jung, Jae-Mo Kang, Dong In Kim
2023 J jnl
Efficient Demodulation Algorithms for MIMO-LoRa.
IEEE Internet Things J.
Jae-Mo Kang, Kae Won Choi
2023 J jnl
Erratum to "Pre-DEMO: Preference-Inspired Differential Evolution for Multi/Many-Objective Optimization".
IEEE Trans. Syst. Man Cybern. Syst.
Vikas Palakonda, Jae-Mo Kang
2023 J jnl
LoRa Preamble Detection With Optimized Thresholds.
IEEE Internet Things J.
Jae-Mo Kang
2023 J jnl
Many-Objective Real-World Engineering Problems: A Comparative Study of State-of-the-Art Algorithms.
IEEE Access
Vikas Palakonda, Jae-Mo Kang
2023 J jnl
On the Quasi-Orthogonality of LoRa Modulation.
IEEE Internet Things J.
Jae-Mo Kang, Dong-Woo Lim
2023 J jnl
Pre-DEMO: Preference-Inspired Differential Evolution for Multi/Many-Objective Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Vikas Palakonda, Jae-Mo Kang
2023 J jnl
Redundancy Management in Federated Learning for Fast Communication.
IEEE Trans. Commun.
Azadeh Motamedi, Sangseok Yun, Jae-Mo Kang, Yiqun Ge, Il-Min Kim
2023 J jnl
Transmit Power Adaptation for D2D Communications Underlaying SWIPT-Based IoT Cellular Networks.
IEEE Internet Things J.
Dong-Woo Lim, Chang-Jae Chun, Jae-Mo Kang
2022 J jnl
A Robust Approach for Brain Tumor Detection in Magnetic Resonance Images Using Finetuned EfficientNet.
IEEE Access
Hasnain Ali Shah, Faisal Saeed, Sangseok Yun, Jun-Hyun Park, Anand Paul, Jae-Mo Kang
2022 J jnl
An adaptive neighborhood based evolutionary algorithm with pivot- solution based selection for multi- and many-objective optimization.
Inf. Sci.
Vikas Palakonda, Jae-Mo Kang, Heechul Jung
2022 J jnl
Deep Learning-Based Ground Vibration Monitoring: Reinforcement Learning and RNN-CNN Approach.
IEEE Geosci. Remote. Sens. Lett.
Sangseok Yun, Jae-Mo Kang, Jeongseok Ha, Sangho Lee, Dong Woon Ryu, Jihoe Kwon, Il-Min Kim
2022 J jnl
Ghostformer: A GhostNet-Based Two-Stage Transformer for Small Object Detection.
Sensors
Sijia Li, Furkat Sultonov, Jamshid Tursunboev, Jun-Hyun Park, Sangseok Yun, Jae-Mo Kang
2022 J jnl
MIMO-LoRa for High-Data-Rate IoT: Concept and Precoding Design.
IEEE Internet Things J.
Jae-Mo Kang
2022 J jnl
MSE-Based Joint Transceiver and Passive Beamforming Designs for Intelligent Reflecting Surface-Aided MIMO Systems.
IEEE Wirel. Commun. Lett.
Jae-Mo Kang, Sangseok Yun, Il-Min Kim, Heechul Jung
2022 J jnl
On the LoRa Modulation for IoT: Optimal Preamble Detection and Its Performance Analysis.
IEEE Internet Things J.
Jae-Mo Kang, Dong-Woo Lim, Kyu-Min Kang
2022 J jnl
TA-Unet: Integrating Triplet Attention Module for Drivable Road Region Segmentation.
Sensors
Sijia Li, Furkat Sultonov, Qingshan Ye, Yong Bai, Jun-Hyun Park, Chilsig Yang, Minseok Song, Sungwoo Koo, Jae-Mo Kang
2021 J jnl
Cooperative Inference of DNNs Over Noisy Wireless Channels.
IEEE Trans. Veh. Technol.
Sangseok Yun, Jae-Mo Kang, Sooyong Choi, Il-Min Kim
2021 J jnl
Joint Channel Estimation, Training Design, Tx Power Allocation, and Rx Power Splitting for MIMO SWIPT Systems.
IEEE Commun. Lett.
Byungjo Kim, Jae-Mo Kang, Hyung-Myung Kim, Joonhyuk Kang
2020 J jnl
A Deep CNN-Based Ground Vibration Monitoring Scheme for MEMS Sensed Data.
IEEE Geosci. Remote. Sens. Lett.
Jae-Mo Kang, Il-Min Kim, Sangho Lee, Dong Woon Ryu, Jihoe Kwon
2020 J jnl
Deep Artificial Noise: Deep Learning-Based Precoding Optimization for Artificial Noise Scheme.
IEEE Trans. Veh. Technol.
Sangseok Yun, Jae-Mo Kang, Il-Min Kim, Jeongseok Ha
2020 J jnl
Deep Learning Based Channel Estimation for MIMO Systems With Received SNR Feedback.
IEEE Access
Jae-Mo Kang, Chang-Jae Chun, Il-Min Kim
2020 J jnl
Deep Learning-Based MIMO-NOMA With Imperfect SIC Decoding.
IEEE Syst. J.
Jae-Mo Kang, Il-Min Kim, Chang-Jae Chun
2020 J jnl
Deep RNN-Based Channel Tracking for Wireless Energy Transfer System.
IEEE Syst. J.
Jae-Mo Kang, Chang-Jae Chun, Il-Min Kim, Dong In Kim
2020 J jnl
Dynamic Power Splitting for SWIPT With Nonlinear Energy Harvesting in Ergodic Fading Channel.
IEEE Internet Things J.
Jae-Mo Kang, Chang-Jae Chun, Il-Min Kim, Dong In Kim
2020 J jnl
Error estimate for a universal function approximator of ReLU network with a local connection.
CoRR
Jae-Mo Kang, Sunghwan Moon
2020 J jnl
Intelligent Reflecting Surface: Joint Optimal Training Sequence and Refection Pattern.
IEEE Commun. Lett.
Jae-Mo Kang
2020 J jnl
Joint Trajectory Design, Tx Power Allocation, and Rx Power Splitting for UAV-Enabled Multicasting SWIPT Systems.
IEEE Syst. J.
Jae-Mo Kang, Chang-Jae Chun
2020 J jnl
Optimal Training Design for MIMO Amplify-and-Forward Two-Way Relay Systems in the Presence of Interference.
IEEE Trans. Veh. Technol.
Chang-Jae Chun, Jae-Mo Kang
2020 J jnl
Reinforcement Learning Based Adaptive Resource Allocation for Wireless Powered Communication Systems.
IEEE Commun. Lett.
Jae-Mo Kang
2019 J jnl
Deep Learning-Based Channel Estimation for Massive MIMO Systems.
IEEE Wirel. Commun. Lett.
Chang-Jae Chun, Jae-Mo Kang, Il-Min Kim
2019 J jnl
Deep Learning-Based Joint Pilot Design and Channel Estimation for Multiuser MIMO Channels.
IEEE Commun. Lett.
Chang-Jae Chun, Jae-Mo Kang, Il-Min Kim
2019 J jnl
Joint Tx Power Allocation and Rx Power Splitting for SWIPT System With Multiple Nonlinear Energy Harvesting Circuits.
IEEE Wirel. Commun. Lett.
Jae-Mo Kang, Il-Min Kim, Dong In Kim
2018 J jnl
Adaptive Rate and Energy Harvesting Interval Control Based on Reinforcement Learning for SWIPT.
IEEE Commun. Lett.
Chang-Jae Chun, Jae-Mo Kang, Il-Min Kim
2018 J jnl
Channel Tracking for Wireless Energy Transfer: A Deep Recurrent Neural Network Approach.
CoRR
Jae-Mo Kang, Chang-Jae Chun, Il-Min Kim, Dong In Kim
2018 J jnl
Deep Learning Based Joint Pilot Design and Channel Estimation for Multiuser MIMO Channels.
CoRR
Chang-Jae Chun, Jae-Mo Kang, Il-Min Kim
2018 J jnl
Deep-Learning-Based Channel Estimation for Wireless Energy Transfer.
IEEE Commun. Lett.
Jae-Mo Kang, Chang-Jae Chun, Il-Min Kim
2018 J jnl
Dynamic Power Splitting for SWIPT with Nonlinear Energy Harvesting in Ergodic Fading Channel.
CoRR
Jae-Mo Kang, Chang-Jae Chun, Il-Min Kim, Dong In Kim
2018 J jnl
Estimation of Time-Varying Channels in MIMO Two-Way Multi-Relay Systems.
IEEE Trans. Wirel. Commun.
Jae-Mo Kang, Il-Min Kim, Hyung-Myung Kim
2018 J jnl
Joint Beamforming Design and Time Allocation for Wireless Powered Asymmetric Two-Way Multirelay Network.
IEEE Trans. Veh. Technol.
Xinghua Jia, Chaozhu Zhang, Jae-Mo Kang, Il-Min Kim
2018 J jnl
Joint Optimal Mode Switching and Power Adaptation for Nonlinear Energy Harvesting SWIPT System Over Fading Channel.
IEEE Trans. Commun.
Jae-Mo Kang, Il-Min Kim, Dong In Kim
2018 J jnl
Joint Tx Power Allocation and Rx Power Splitting for SWIPT System with Multiple Nonlinear Energy Harvesting Circuits.
CoRR
Jae-Mo Kang, Il-Min Kim, Dong In Kim
2018 J jnl
Optimal User Grouping for Downlink NOMA.
IEEE Wirel. Commun. Lett.
Jae-Mo Kang, Il-Min Kim
2018 J jnl
Wireless Information and Power Transfer: Rate-Energy Tradeoff for Nonlinear Energy Harvesting.
IEEE Trans. Wirel. Commun.
Jae-Mo Kang, Il-Min Kim, Dong In Kim
2017 J jnl
Joint Design of Optimal Precoding and Cooperative Jamming for Multiuser Secure Broadcast Systems.
IEEE Trans. Veh. Technol.
Jae-Mo Kang, Jun Yang, Jeongseok Ha, Il-Min Kim
2017 J jnl
Mode Switching for SWIPT Over Fading Channel With Nonlinear Energy Harvesting.
IEEE Wirel. Commun. Lett.
Jae-Mo Kang, Il-Min Kim, Dong In Kim
2017 J jnl
Optimal Training Design for MIMO-OFDM Two-Way Relay Networks.
IEEE Trans. Commun.
Jae-Mo Kang, Il-Min Kim, Hyung-Myung Kim
2017 J jnl
Rate-Energy Tradeoff and Decoding Error Probability-Energy Tradeoff for SWIPT in Finite Code Length.
IEEE Trans. Wirel. Commun.
Il-Min Kim, Dong In Kim, Jae-Mo Kang
2016 — conf
Energy efficiency optimization in multi-antenna wireless powered communication network.
ICTC
Byungjo Kim, Jae-Mo Kang, Hyung-Myung Kim, Joohyun Lee
2016 — conf
Max-Min Energy-Efficiency Optimization in Wireless Powered Communication Network with Harvest-Then-Transmit Protocol.
ICITCS
Byungjo Kim, Jae-Mo Kang, Hyung-Myung Kim, Joohyun Lee
2016 J jnl
Training Designs for Estimation of Spatially Correlated Fading Channels in MIMO Amplify-and-Forward Two-Way Multi-Relay Networks.
IEEE Commun. Lett.
Jae-Mo Kang, Hyung-Myung Kim
2015 J jnl
Both Minimum MSE and Maximum SNR Channel Training Designs for MIMO AF Multi-Relay Networks with Spatially Correlated Fading.
IEEE Signal Process. Lett.
Jae-Mo Kang, Hyung-Myung Kim
2015 — conf
Detection of Pilot Contamination Attack for Multi-Antenna Based Secrecy Systems.
VTC Spring
Jae-Mo Kang, Changdon In, Hyung-Myung Kim
2015 — conf
Source and Relay Precoder Designs to Maximize Sum Rate in Two-Way Relay System with Multiple Sources.
VTC Spring
Changdon In, Jae-Mo Kang, Hyung-Myung Kim