Dongjoo Seo

Orcid: 0000-0001-6282-8709

According to our database1, Dongjoo Seo authored at least 13 papers between 2013 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Is Garbage Collection Overhead Gone? Case study of F2FS on ZNS SSDs.
Proceedings of the 15th ACM/USENIX Workshop on Hot Topics in Storage and File Systems, 2023

Information Processing Factory 2.0 - Self-awareness for Autonomous Collaborative Systems.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022
Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks.
ACM Trans. Embed. Comput. Syst., November, 2022

Exploring computation offloading in IoT systems.
Inf. Syst., 2022

Demand Layering for Real-Time DNN Inference with Minimized Memory Usage.
Proceedings of the IEEE Real-Time Systems Symposium, 2022

ProSwap: Period-aware Proactive Swapping to Maximize Embedded Application Performance.
Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2022

Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

2021
Chauffeur: Benchmark Suite for Design and End-to-End Analysis of Self-Driving Vehicles on Embedded Systems.
ACM Trans. Embed. Comput. Syst., 2021

Towards Smart and Efficient Health Monitoring Using Edge-enabled Situational-awareness.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020
Enlarging I/O Size for Faster Loading of Mobile Applications.
IEEE Embed. Syst. Lett., 2020

Dynamic iFogSim: A Framework for Full-Stack Simulation of Dynamic Resource Management in IoT Systems.
Proceedings of the 2020 International Conference on Omni-layer Intelligent Systems, 2020

2018
NSML: Meet the MLaaS platform with a real-world case study.
CoRR, 2018

2013
28nm high- metal-gate heterogeneous quad-core CPUs for high-performance and energy-efficient mobile application processor.
Proceedings of the 2013 IEEE International Solid-State Circuits Conference, 2013


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