| 2026 | SAC | Neuro-SIT : Neural Speech Imagery Transformer with Token-Level Representation for Sentence-Level EEG Decoding. | Se-Na Jang, Hyeong-Yeong Park, Seong-Wook Kim, Hyuna Roh, Ah-Hyun Kim, Tae-Eui Kam, Ji-Hoon Jeong |
| 2026 | SAC | Improving Interoperability in Object Detection across Diverse Datasets. | Gyuchan Jo, Kyungchang Jeong, Hanbit Seo, Ji-Hoon Jeong, Euijong Lee |
| 2025 | MICCAI | Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging. | Hyun Jung Lee, Eunjung Jo, Minjoo Lim, Young-Han Son, Bogyeong Kang, Hyeonyeong Nam, Ji-Hoon Jeong, Dong-Hee Shin, Tae-Eui Kam |
| 2025 | MICCAI | EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification. | In-Gyu Lee, Jun-Young Oh, Hyewon Choi, Tae-Eui Kam, Namsoon Lee, Sang-Hwan Hyun, Euijong Lee, Ji-Hoon Jeong |
| 2024 | SAC | LINK: Self-Adaptive System with Human-Machine Teaming-based Loop for Interoperability in IoT Environments. | Hongseok Oh, Kyungchang Jeong, Euijong Lee, Ji-Hoon Jeong |
| 2023 | SMC | Application of A Dual-Stage Deep Learning Framework to Detect Left Atrial Enlargement for Pet Heart Failure. | Jun-Young Oh, In-Gyu Lee, Hyun-Ho Chang, Euijong Lee, Ji-Hoon Jeong |
| 2022 | SMC | EEG-based Driver Drowsiness Classification via Calibration-Free Framework with Domain Generalization. | Dong-Young Kim, Dong-Kyun Han, Ji-Hoon Jeong, Seong-Whan Lee |
| 2021 | SMC | Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks. | Dae-Hyeok Lee, Dong-Kyun Han, Sung-Jin Kim, Ji-Hoon Jeong, Seong-Whan Lee |
| 2020 | ICASSP | Decoding Movement Imagination and Execution From Eeg Signals Using Bci-Transfer Learning Method Based on Relation Network. | Do-Yeun Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee |
| 2020 | ICASSP | Classification of High-Dimensional Motor Imagery Tasks Based on An End-To-End Role Assigned Convolutional Neural Network. | Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee |
| 2020 | SMC | Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment. | Byoung-Hee Kwon, Ji-Hoon Jeong, Jeong-Hyun Cho, Seong-Whan Lee |
| 2019 | SMC | Towards an EEG-based Intuitive BCI Communication System Using Imagined Speech and Visual Imagery. | Seo-Hyun Lee, Minji Lee, Ji-Hoon Jeong, Seong-Whan Lee |
| 2019 | SMC | Assistive Robotic Arm Control based on Brain-Machine Interface with Vision Guidance using Convolution Neural Network. | Kyung-Hwan Shim, Ji-Hoon Jeong, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee |
| 2018 | CCS | Unveiling Hardware-based Data Prefetcher, a Hidden Source of Information Leakage. | Young-joo Shin, Hyung Chan Kim, Dokeun Kwon, Ji-Hoon Jeong, Junbeom Hur |
| 2018 | SMC | Classification of Hand Motions within EEG Signals for Non-Invasive BCI-Based Robot Hand Control. | Jeong-Hyun Cho, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim, Seong-Whan Lee |
| 2018 | SMC | Decoding of Multi-directional Reaching Movements for EEG-Based Robot Arm Control. | Ji-Hoon Jeong, Keun-Tae Kim, Dong-Joo Kim, Seong-Whan Lee |
| 2016 | IWSEC | Hooking Graceful Moments: A Security Analysis of Sudo Session Handling. | Ji-Hoon Jeong, Hyung Chan Kim, Il Hwan Park, Bong-Nam Noh |
| 2016 | SMC | OpenBMI: A real-time data analysis toolbox for Brain-Machine Interfaces. | Min-Ho Lee, Keun-Tae Kim, Yeong-Jin Kee, Ji-Hoon Jeong, Seon-Min Kim, Siamac Fazli, Seong-Whan Lee |