Daewoo Kim

Orcid: 0009-0005-5799-8144

According to our database1, Daewoo Kim authored at least 21 papers between 2017 and 2024.

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Bibliography

2024
TWLV-I: Analysis and Insights from Holistic Evaluation on Video Foundation Models.
CoRR, 2024

Are Your Epochs Too Epic? Batch Free Can Be Harmful.
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

MTM: Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023
HM-Keeper: Scalable Page Management for Multi-Tiered Large Memory Systems.
CoRR, 2023

2022
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2020
Economics of Fog Computing: Interplay Among Infrastructure and Service Providers, Users, and Edge Resource Owners.
IEEE Trans. Mob. Comput., 2020

Bird-MAC: Energy-Efficient MAC for Quasi-Periodic IoT Applications by Avoiding Early Wake-up.
IEEE Trans. Mob. Comput., 2020

Distributed Slot Scheduling for QoS Guarantee over TSCH-based IoT Networks via Adaptive Parameterization.
Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2020

Inducing Cooperation through Reward Reshaping based on Peer Evaluations in Deep Multi-Agent Reinforcement Learning.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Double MAC on a DSP: Boosting the Performance of Convolutional Neural Networks on FPGAs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Learning to Schedule Communication in Multi-agent Reinforcement Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

On-chip memory optimization for high-level synthesis of multi-dimensional data on FPGA.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018
Cost-Performance Comparison of Various Accelerator Implementation Platforms for Deep Convolutional Neural Network.
Proceedings of the Parallel and Distributed Computing, 2018

Parameterized slot scheduling for adaptive and autonomous TSCH networks.
Proceedings of the IEEE INFOCOM 2018, 2018

On the Economics of Fog Computing: Inter-Play among Infrastructure and Service Providers, Users, and Edge Resource Owners.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017
A Fog Operating System for User-Oriented IoT Services: Challenges and Research Directions.
IEEE Commun. Mag., 2017

Revisiting Sensor MAC for Periodic Monitoring: Why Should Transmitters Be Early Birds?
Proceedings of the 14th Annual IEEE International Conference on Sensing, 2017

FPGA implementation of convolutional neural network based on stochastic computing.
Proceedings of the International Conference on Field Programmable Technology, 2017

Double MAC: Doubling the performance of convolutional neural networks on modern FPGAs.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

On the Delay Scaling Laws of Cache Networks.
Proceedings of the 12th International Conference on Future Internet Technologies, 2017


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