Changha Lee

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Satellite Images

Stream Processing

Top Venues

Publications

Jae-Eon Kang, Changha Lee, Jong-Hwan Lee
Integrated Convolutional and Graph Attention Neural Networks for Electroencephalography. BCI (2024)
Jinhyeok Jang, Chan-Hyun Youn, Minsu Jeon, Changha Lee
Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima's Role. AAAI (2024)
Goo-Young Kim, Jongpil Yun, Changha Lee, Junwoo Lim, Yongjin Kim, Sang Do Noh
Data-driven analysis and human-centric assignment for manual assembly production lines. Comput. Ind. Eng. 188 (2024)
Junsoo Kim, Seunghee Han, Geonwoo Ko, Ji-Hoon Kim, Changha Lee, Taewoo Kim, Chan-Hyun Youn, Joo-Young Kim
EPU: An Energy-Efficient Explainable AI Accelerator With Sparsity-Free Computation and Heat Map Compression/Pruning. IEEE J. Solid State Circuits 59 (3) (2024)
Changha Lee, Jae-Eon Kang, Jong-Hwan Lee
Binaural Beats Modulated Affected Emotions: Evidence From Simultaneous Electroencephalography-Functional MRI Study. BCI (2024)
Changha Lee, Jongpil Yun, Goo-Young Kim, Junwoo Lim, Sang Do Noh, Yongjin Kim
Data-Driven Analysis and Assignment of Manual Assembly Production Lines. APMS (3) (2023)
Minsu Jeon, Taewoo Kim, Seong-Hwan Kim, Changha Lee, Chan-Hyun Youn
Recursive Visual Explanations Mediation Scheme Based on DropAttention Model With Multiple Episodes Pool. IEEE Access 11 (2023)
Minsu Jeon, Taewoo Kim, Changha Lee, Chan-Hyun Youn
A Channel Pruning Optimization With Layer-Wise Sensitivity in a Single-Shot Manner Under Computational Constraints. IEEE Access 11 (2023)
Changha Lee, Kyungchae Lee, Gyusang Cho, Chan-Hyun Youn
DELCAS: Deep Reinforcement Learning Based GPU CaaS Packet Scheduling for Stabilizing QoE in 5G Multi-Access Edge Computing. ICWE Workshops (2023)
Junsoo Kim, Geonwoo Ko, Ji-Hoon Kim, Changha Lee, Taewoo Kim, Chan-Hyun Youn, Joo-Young Kim
A 26.55TOPS/W Explainable AI Processor with Dynamic Workload Allocation and Heat Map Compression/Pruning. CICC (2023)
Tuan Manh Tao, Changha Lee, Minsu Jeon, Chan-Hyun Youn
Deep Learning with Historical Features and Timewise Similarity for Multiple Objects Tracking. ICTC (2023)
Taewoo Kim, Minsu Jeon, Changha Lee, SeongHwan Kim, Fawaz Al Hazemi, Chan-Hyun Youn
SLO-Aware DL Job Scheduling for Efficient FPGA-GPU Edge Cloud Computing. ICWE Workshops (2023)
Yungi Ha, Changha Lee, Chan-Hyun Youn
A Cluster Chip Selection Method for Object Detection in Aerial Images. ICTC (2022)
Taewoo Kim, Minsu Jeon, Changha Lee, Junsoo Kim, Geonwoo Ko, Joo-Young Kim, Chan-Hyun Youn
Federated Onboard-Ground Station Computing With Weakly Supervised Cascading Pyramid Attention Network for Satellite Image Analysis. IEEE Access 10 (2022)
Heejae Kim, Kyung-Chae Lee, Changha Lee, Sanghyun Hwang, Chan-Hyun Youn
An Alternating Training Method of Attention-Based Adapters for Visual Explanation of Multi-Domain Satellite Images. IEEE Access 9 (2021)
Changha Lee, Seong-Hwan Kim, Chan-Hyun Youn
Pattern-Wise Embedding System for Scalable Time-series Database. BigComp (2021)
Changha Lee, Seong-Hwan Kim, Chan-Hyun Youn
Cooperating Edge Cloud-Based Hybrid Online Learning for Accelerated Energy Data Stream Processing in Load Forecasting. IEEE Access 8 (2020)
Seong-Hwan Kim, Changha Lee, Chan-Hyun Youn
An Accelerated Edge Cloud System for Energy Data Stream Processing Based on Adaptive Incremental Deep Learning Scheme. IEEE Access 8 (2020)
Eunju Yang, Changha Lee, Ji-Hwan Kim, Tuan Manh Tao, Chan-Hyun Youn
StreamDL: Deep Learning Serving Platform for AMI Stream Forecasting. ICDM (Workshops) (2020)
Changha Lee, Seong-Hwan Kim, Chan-Hyun Youn
An Accelerated Continual Learning with Demand Prediction based Scheduling in Edge-Cloud Computing. ICDM (Workshops) (2020)
Changha Lee, Minsu Jeon, Eunju Yang, Seong-Hwan Kim, Chan-Hyun Youn
Imbalanced-Free Memory Selection Scheme Based Continual Learning by Using K-means Clustering. ICTC (2019)