Daewoo Kim

28 papers A* 2A 4B 2C 1Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Side-Channel Attacks on Open vSwitch.
CoRR
Daewoo Kim, Sihang Liu
2024 B conf
Are Your Epochs Too Epic? Batch Free Can Be Harmful.
PPoPP
Daewoo Kim, Trevor Brown, Ajay Singh
2024 J jnl
Are Your Epochs Too Epic? Batch Free Can Be Harmful.
CoRR
Daewoo Kim, Trevor Brown, Ajay Singh
2024 A conf
Efficient Tensor Offloading for Large Deep-Learning Model Training based on Compute Express Link.
SC
Dong Xu, Yuan Feng, Kwangsik Shin, Daewoo Kim, Hyeran Jeon, Dong Li
2024 A conf
MTM: Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory.
EuroSys
Jie Ren, Dong Xu, Junhee Ryu, Kwangsik Shin, Daewoo Kim, Dong Li
2024 J jnl
TWLV-I: Analysis and Insights from Holistic Evaluation on Video Foundation Models.
CoRR
Hyeongmin Lee, Jin-Young Kim, Kyungjune Baek, Jihwan Kim, Hyojun Go, Seongsu Ha, Seokjin Han, Jiho Jang, Raehyuk Jung, Daewoo Kim, GeunOh Kim, Jongmok Kim, Jongseok Kim, Junwan Kim, Soonwoo Kwon, Jangwon Lee, Seungjoon Park, Minjoon Seo, Jay Suh, Jaehyuk Yi, Aiden Seung Joon Lee
2023 J jnl
HM-Keeper: Scalable Page Management for Multi-Tiered Large Memory Systems.
CoRR
Jie Ren, Dong Xu, Ivy Peng, Junhee Ryu, Kwangsik Shin, Daewoo Kim, Dong Li
2022 A* conf
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation.
ICRA
Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson
2022 J jnl
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation.
CoRR
Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson
2020 J jnl
Bird-MAC: Energy-Efficient MAC for Quasi-Periodic IoT Applications by Avoiding Early Wake-up.
IEEE Trans. Mob. Comput.
Daewoo Kim, Jinhwan Jung, Yoonpyo Koo, Yung Yi
2020 — conf
Distributed Slot Scheduling for QoS Guarantee over TSCH-based IoT Networks via Adaptive Parameterization.
IPSN
Jinhwan Jung, Daewoo Kim, Taeyoung Lee, Joohyun Kang, Namjo Ahn, Yung Yi
2020 J jnl
Economics of Fog Computing: Interplay Among Infrastructure and Service Providers, Users, and Edge Resource Owners.
IEEE Trans. Mob. Comput.
Daewoo Kim, Hyojung Lee, HyungSeok Song, Nakjung Choi, Yung Yi
2020 A conf
Inducing Cooperation through Reward Reshaping based on Peer Evaluations in Deep Multi-Agent Reinforcement Learning.
AAMAS
David Earl Hostallero, Daewoo Kim, Sangwoo Moon, Kyunghwan Son, Wan Ju Kang, Yung Yi
2019 J jnl
Double MAC on a DSP: Boosting the Performance of Convolutional Neural Networks on FPGAs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Sugil Lee, Daewoo Kim, Dong Nguyen, Jongeun Lee
2019 — conf
Learning to Schedule Communication in Multi-agent Reinforcement Learning.
ICLR (Poster)
Daewoo Kim, Sangwoo Moon, David Hostallero, Wan Ju Kang, Taeyoung Lee, Kyunghwan Son, Yung Yi
2019 J jnl
Learning to Schedule Communication in Multi-agent Reinforcement Learning.
CoRR
Daewoo Kim, Sangwoo Moon, David Hostallero, Wan Ju Kang, Taeyoung Lee, Kyunghwan Son, Yung Yi
2019 — conf
On-chip memory optimization for high-level synthesis of multi-dimensional data on FPGA.
ASP-DAC
Daewoo Kim, Sugil Lee, Jongeun Lee
2019 A* conf
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning.
ICML
Kyunghwan Son, Daewoo Kim, Wan Ju Kang, David Hostallero, Yung Yi
2019 J jnl
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning.
CoRR
Kyunghwan Son, Daewoo Kim, Wan Ju Kang, David Hostallero, Yung Yi
2018 C conf
Cost-Performance Comparison of Various Accelerator Implementation Platforms for Deep Convolutional Neural Network.
PDCAT
Yechan Yu, Hojin Kim, Jinjoo Ha, Daewoo Kim, Kang Yi
2018 — conf
On the Economics of Fog Computing: Inter-Play among Infrastructure and Service Providers, Users, and Edge Resource Owners.
ICC
Daewoo Kim, Hyojung Lee, HyungSeok Song, Nakjung Choi, Yung Yi
2018 — conf
Parameterized slot scheduling for adaptive and autonomous TSCH networks.
INFOCOM Workshops
Jinhwan Jung, Daewoo Kim, Joonki Hong, Joohyun Kang, Yung Yi
2017 J jnl
A Fog Operating System for User-Oriented IoT Services: Challenges and Research Directions.
IEEE Commun. Mag.
Nakjung Choi, Daewoo Kim, Sung-Ju Lee, Yung Yi
2017 A conf
Double MAC: Doubling the performance of convolutional neural networks on modern FPGAs.
DATE
Dong Nguyen, Daewoo Kim, Jongeun Lee
2017 — conf
FPGA implementation of convolutional neural network based on stochastic computing.
FPT
Daewoo Kim, Mansureh S. Moghaddam, Hossein Moradian, Hyeon Uk Sim, Jongeun Lee, Kiyoung Choi
2017 — conf
On the Delay Scaling Laws of Cache Networks.
CFI
Boram Jin, Daewoo Kim, Se-Young Yun, Jinwoo Shin, Seongik Hong, Byoung-Joon Lee, Yung Yi
2017 B conf
Revisiting Sensor MAC for Periodic Monitoring: Why Should Transmitters Be Early Birds?
SECON
Daewoo Kim, Jinhwan Jung, Yoonpyo Koo, Yung Yi
2013 J jnl
On the Delay Scaling Laws of Cache Networks.
CoRR
Boram Jin, Se-Young Yun, Daewoo Kim, Jinwoo Shin, Yung Yi, Seongik Hong, Byoung-Joon Lee