Imbalanced-Free Memory Selection Scheme Based Continual Learning by Using K-means Clustering. - Changha Lee; Minsu Jeon; Eunju Yang; Seong-Hwan Kim 002; Chan-Hyun Youn (ICTC, 2019)

An Accelerated Continual Learning with Demand Prediction based Scheduling in Edge-Cloud Computing. - Changha Lee; Seong-Hwan Kim 002; Chan-Hyun Youn (ICDM (Workshops), 2020)

StreamDL: Deep Learning Serving Platform for AMI Stream Forecasting. - Eunju Yang; Changha Lee; Ji-Hwan Kim; Tuan Manh Tao; Chan-Hyun Youn (ICDM (Workshops), 2020)

An Accelerated Edge Cloud System for Energy Data Stream Processing Based on Adaptive Incremental Deep Learning Scheme. - Seong-Hwan Kim 002; Changha Lee; Chan-Hyun Youn (IEEE Access, 2020)

Cooperating Edge Cloud-Based Hybrid Online Learning for Accelerated Energy Data Stream Processing in Load Forecasting. - Changha Lee; Seong-Hwan Kim 002; Chan-Hyun Youn (IEEE Access, 2020)

Pattern-Wise Embedding System for Scalable Time-series Database. - Changha Lee; Seong-Hwan Kim 002; Chan-Hyun Youn (BigComp, 2021)

An Alternating Training Method of Attention-Based Adapters for Visual Explanation of Multi-Domain Satellite Images. - Heejae Kim; Kyung-Chae Lee; Changha Lee; Sanghyun Hwang; Chan-Hyun Youn (IEEE Access, 2021)

A Cluster Chip Selection Method for Object Detection in Aerial Images. - Yungi Ha; Changha Lee; Chan-Hyun Youn (ICTC, 2022)

Federated Onboard-Ground Station Computing With Weakly Supervised Cascading Pyramid Attention Network for Satellite Image Analysis. - Taewoo Kim 003; Minsu Jeon; Changha Lee; Junsoo Kim 002; Geonwoo Ko; Joo-Young Kim 001; Chan-Hyun Youn (IEEE Access, 2022)

A 26.55TOPS/W Explainable AI Processor with Dynamic Workload Allocation and Heat Map Compression/Pruning. - Junsoo Kim 002; Geonwoo Ko; Ji-Hoon Kim 004; Changha Lee; Taewoo Kim 003; Chan-Hyun Youn; Joo-Young Kim 001 (CICC, 2023)

Deep Learning with Historical Features and Timewise Similarity for Multiple Objects Tracking. - Tuan Manh Tao; Changha Lee; Minsu Jeon; Chan-Hyun Youn (ICTC, 2023)

SLO-Aware DL Job Scheduling for Efficient FPGA-GPU Edge Cloud Computing. - Taewoo Kim 003; Minsu Jeon; Changha Lee; Seong-Hwan Kim 002; Fawaz AL-Hazemi; Chan-Hyun Youn (ICWE Workshops, 2023)

DELCAS: Deep Reinforcement Learning Based GPU CaaS Packet Scheduling for Stabilizing QoE in 5G Multi-Access Edge Computing. - Changha Lee; Kyungchae Lee; Gyusang Cho; Chan-Hyun Youn (ICWE Workshops, 2023)

Data-Driven Analysis and Assignment of Manual Assembly Production Lines. - Changha Lee; Jongpil Yun; Goo-Young Kim; Junwoo Lim; Sang Do Noh; Yongjin Kim (APMS (3), 2023)

Recursive Visual Explanations Mediation Scheme Based on DropAttention Model With Multiple Episodes Pool. - Minsu Jeon; Taewoo Kim 003; Seong-Hwan Kim 002; Changha Lee; Chan-Hyun Youn (IEEE Access, 2023)

A Channel Pruning Optimization With Layer-Wise Sensitivity in a Single-Shot Manner Under Computational Constraints. - Minsu Jeon; Taewoo Kim 003; Changha Lee; Chan-Hyun Youn (IEEE Access, 2023)

Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima's Role. - Jinhyeok Jang; Chan-Hyun Youn; Minsu Jeon; Changha Lee (AAAI, 2024)

Integrated Convolutional and Graph Attention Neural Networks for Electroencephalography. - Jae-Eon Kang; Changha Lee; Jong-Hwan Lee (BCI, 2024)

Binaural Beats Modulated Affected Emotions: Evidence From Simultaneous Electroencephalography-Functional MRI Study. - Changha Lee; Jae-Eon Kang; Jong-Hwan Lee (BCI, 2024)

Latency-Aware GPU Scheduling for DL Inference Tasks with Internal Resource Partitioning Strategy. - Taewoo Kim 003; Changha Lee; Chan-Hyun Youn (ICTC, 2024)

TM-LLM: Token-Motion Embedding Fusion for Large Language Model-Based Vessel Trajectory Prediction. - Thi Chung Anh Nguyen; Tuan Manh Tao; Changha Lee; Chan-Hyun Youn (ICTC, 2024)

Tracking Vessel Activities with AIS Data using an Adaptive Extended Kalman Filter. - Quynh Anh Mai Thi; Changha Lee; Tuan Manh Tao; Chan-Hyun Youn (ICTC, 2024)

Product-Centric Simulation for Proactive Evaluation of Production Plan in Shipyard. - Donghyun Lee; Jisoo Park; Changha Lee; Seoyoung Jo; Yonghee Kim; Seungwoo Jeon; Jongpil Yun; Sang Do Noh (APMS (4), 2024)

A Mobile Air-Purification Device and Digital Twin for Managing Hazardous Gases at Industrial Sites. - Seokhwan Yu; Sejin An; Changha Lee; Hyunsuk You; Ilheum Choi; Sang Do Noh (APMS (4), 2024)

Matrix Assembly System Scheduling Optimization in Automotive Manufacturing: A Deep Q-Network Approach. - Whan Lee; Seog-Chan Oh; Jisoo Park; Changha Lee; Hua-Tzu Fan; Jorge Arinez 001; Sejin An; Sang Do Noh (WSC, 2024)

Intelligent Layout Reconfiguration for Reconfigurable Assembly System: A Genetic Algorithm Approach. - Jisoo Park; Seog-Chan Oh; Whan Lee; Changha Lee; Hua-Tzu Fan; Jorge Arinez 001; Sang Do Noh (WSC, 2024)

Data-driven analysis and human-centric assignment for manual assembly production lines. - Goo-Young Kim; Jongpil Yun; Changha Lee; Junwoo Lim; Yongjin Kim; Sang Do Noh (Comput. Ind. Eng., 2024)

EPU: An Energy-Efficient Explainable AI Accelerator With Sparsity-Free Computation and Heat Map Compression/Pruning. - Junsoo Kim 002; Seunghee Han; Geonwoo Ko; Ji-Hoon Kim 004; Changha Lee; Taewoo Kim 003; Chan-Hyun Youn; Joo-Young Kim 001 (IEEE J. Solid State Circuits, 2024)

BlindFG: Learning Contextual Fishing Trajectories for Unreported Fishing Gear Classification. - Changha Lee; Chan-Hyun Youn (IEEE Access, 2025)

In-Context Vision-Pattern-Language Model for Enhancing Vessel Activity Explanation. - Changha Lee; Chan-Hyun Youn (IEEE Access, 2025)