Changha Lee

Orcid: 0000-0003-3687-2989

According to our database1, Changha Lee authored at least 20 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
EPU: An Energy-Efficient Explainable AI Accelerator With Sparsity-Free Computation and Heat Map Compression/Pruning.
IEEE J. Solid State Circuits, March, 2024

Binaural Beats Modulated Affected Emotions: Evidence From Simultaneous Electroencephalography-Functional MRI Study.
Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024

Integrated Convolutional and Graph Attention Neural Networks for Electroencephalography.
Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024

Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima's Role.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Channel Pruning Optimization With Layer-Wise Sensitivity in a Single-Shot Manner Under Computational Constraints.
IEEE Access, 2023

Recursive Visual Explanations Mediation Scheme Based on DropAttention Model With Multiple Episodes Pool.
IEEE Access, 2023

Data-Driven Analysis and Assignment of Manual Assembly Production Lines.
Proceedings of the Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures, 2023

DELCAS: Deep Reinforcement Learning Based GPU CaaS Packet Scheduling for Stabilizing QoE in 5G Multi-Access Edge Computing.
Proceedings of the Current Trends in Web Engineering, 2023

SLO-Aware DL Job Scheduling for Efficient FPGA-GPU Edge Cloud Computing.
Proceedings of the Current Trends in Web Engineering, 2023

Deep Learning with Historical Features and Timewise Similarity for Multiple Objects Tracking.
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

A 26.55TOPS/W Explainable AI Processor with Dynamic Workload Allocation and Heat Map Compression/Pruning.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2023

2022
Federated Onboard-Ground Station Computing With Weakly Supervised Cascading Pyramid Attention Network for Satellite Image Analysis.
IEEE Access, 2022

A Cluster Chip Selection Method for Object Detection in Aerial Images.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

2021
An Alternating Training Method of Attention-Based Adapters for Visual Explanation of Multi-Domain Satellite Images.
IEEE Access, 2021

Pattern-Wise Embedding System for Scalable Time-series Database.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

2020
Cooperating Edge Cloud-Based Hybrid Online Learning for Accelerated Energy Data Stream Processing in Load Forecasting.
IEEE Access, 2020

An Accelerated Edge Cloud System for Energy Data Stream Processing Based on Adaptive Incremental Deep Learning Scheme.
IEEE Access, 2020

StreamDL: Deep Learning Serving Platform for AMI Stream Forecasting.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

An Accelerated Continual Learning with Demand Prediction based Scheduling in Edge-Cloud Computing.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019
Imbalanced-Free Memory Selection Scheme Based Continual Learning by Using K-means Clustering.
Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019


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