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2020 – today
- 2024
[j8]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: 109896 (2024)- [j7]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): 830-841 (2024) - [c15]Jinhyeok Jang, Chan-Hyun Youn, Minsu Jeon, Changha Lee:
Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima's Role. AAAI 2024: 2454-2461 - [c14]Jae-Eon Kang, Changha Lee, Jong-Hwan Lee:
Integrated Convolutional and Graph Attention Neural Networks for Electroencephalography. BCI 2024: 1-5 - [c13]Changha Lee, Jae-Eon Kang, Jong-Hwan Lee:
Binaural Beats Modulated Affected Emotions: Evidence From Simultaneous Electroencephalography-Functional MRI Study. BCI 2024: 1-5 - [c12]Donghyun Lee, Jisoo Park, Changha Lee, Seoyoung Jo, Yonghee Kim, Seungwoo Jeon, Jongpil Yun, Sang Do Noh:
Product-Centric Simulation for Proactive Evaluation of Production Plan in Shipyard. APMS (4) 2024: 448-463 - [c11]Seokhwan Yu, Sejin An, Changha Lee, Hyunsuk You, Ilheum Choi, Sang Do Noh:
A Mobile Air-Purification Device and Digital Twin for Managing Hazardous Gases at Industrial Sites. APMS (4) 2024: 464-476 - 2023
- [j6]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: 4306-4321 (2023) - [j5]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: 7043-7055 (2023) - [c10]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: 1-2 - [c9]Tuan Manh Tao, Changha Lee, Minsu Jeon, Chan-Hyun Youn:
Deep Learning with Historical Features and Timewise Similarity for Multiple Objects Tracking. ICTC 2023: 583-588 - [c8]Taewoo Kim, Minsu Jeon, Changha Lee, Seong-Hwan Kim, Fawaz AL-Hazemi, Chan-Hyun Youn:
SLO-Aware DL Job Scheduling for Efficient FPGA-GPU Edge Cloud Computing. ICWE Workshops 2023: 19-29 - [c7]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: 55-66 - [c6]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: 535-547 - 2022
- [j4]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: 117315-117333 (2022) - [c5]Yungi Ha, Changha Lee, Chan-Hyun Youn:
A Cluster Chip Selection Method for Object Detection in Aerial Images. ICTC 2022: 250-255 - 2021
- [j3]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: 62332-62346 (2021) - [c4]Changha Lee, Seong-Hwan Kim, Chan-Hyun Youn:
Pattern-Wise Embedding System for Scalable Time-series Database. BigComp 2021: 358-361 - 2020
- [j2]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: 195341-195358 (2020) - [j1]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: 199120-199132 (2020) - [c3]Changha Lee, Seong-Hwan Kim, Chan-Hyun Youn:
An Accelerated Continual Learning with Demand Prediction based Scheduling in Edge-Cloud Computing. ICDM (Workshops) 2020: 717-722 - [c2]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: 723-728
2010 – 2019
- 2019
- [c1]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: 910-915
Coauthor Index
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