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ORCIDDaewoo Kim
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c15]Jie Ren
, Dong Xu, Junhee Ryu, Kwangsik Shin, Daewoo Kim, Dong Li:
MTM: Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory. EuroSys 2024: 803-817- [c14]Daewoo Kim, Trevor Brown, Ajay Singh:
Are Your Epochs Too Epic? Batch Free Can Be Harmful. PPoPP 2024: 30-41 - [i7]Daewoo Kim, Trevor Brown, Ajay Singh:
Are Your Epochs Too Epic? Batch Free Can Be Harmful. CoRR abs/2401.11347 (2024) - [i6]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:
TWLV-I: Analysis and Insights from Holistic Evaluation on Video Foundation Models. CoRR abs/2408.11318 (2024) - 2023
- [i5]Jie Ren, Dong Xu, Ivy Peng, Junhee Ryu, Kwangsik Shin, Daewoo Kim, Dong Li:
HM-Keeper: Scalable Page Management for Multi-Tiered Large Memory Systems. CoRR abs/2302.09468 (2023) - 2022
- [c13]Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson:
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation. ICRA 2022: 2445-2451 - [i4]Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson:
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation. CoRR abs/2205.03195 (2022) - 2020
- [j4]Daewoo Kim, Jinhwan Jung, Yoonpyo Koo, Yung Yi:
Bird-MAC: Energy-Efficient MAC for Quasi-Periodic IoT Applications by Avoiding Early Wake-up. IEEE Trans. Mob. Comput. 19(4): 788-802 (2020) - [j3]Daewoo Kim, Hyojung Lee, HyungSeok Song, Nakjung Choi, Yung Yi:
Economics of Fog Computing: Interplay Among Infrastructure and Service Providers, Users, and Edge Resource Owners. IEEE Trans. Mob. Comput. 19(11): 2609-2622 (2020) - [c12]David Earl Hostallero, Daewoo Kim, Sangwoo Moon, Kyunghwan Son, Wan Ju Kang, Yung Yi:
Inducing Cooperation through Reward Reshaping based on Peer Evaluations in Deep Multi-Agent Reinforcement Learning. AAMAS 2020: 520-528 - [c11]Jinhwan Jung, Daewoo Kim, Taeyoung Lee, Joohyun Kang, Namjo Ahn, Yung Yi:
Distributed Slot Scheduling for QoS Guarantee over TSCH-based IoT Networks via Adaptive Parameterization. IPSN 2020: 97-108
2010 – 2019
- 2019
- [j2]Sugil Lee, Daewoo Kim, Dong Nguyen, Jongeun Lee:
Double MAC on a DSP: Boosting the Performance of Convolutional Neural Networks on FPGAs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(5): 888-897 (2019) - [c10]Daewoo Kim, Sugil Lee, Jongeun Lee:
On-chip memory optimization for high-level synthesis of multi-dimensional data on FPGA. ASP-DAC 2019: 243-248 - [c9]Daewoo Kim, Sangwoo Moon, David Hostallero, Wan Ju Kang, Taeyoung Lee, Kyunghwan Son, Yung Yi:
Learning to Schedule Communication in Multi-agent Reinforcement Learning. ICLR (Poster) 2019 - [c8]Kyunghwan Son, Daewoo Kim, Wan Ju Kang, David Hostallero, Yung Yi:
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning. ICML 2019: 5887-5896 - [i3]Daewoo Kim, Sangwoo Moon, David Hostallero, Wan Ju Kang, Taeyoung Lee, Kyunghwan Son, Yung Yi:
Learning to Schedule Communication in Multi-agent Reinforcement Learning. CoRR abs/1902.01554 (2019) - [i2]Kyunghwan Son, Daewoo Kim, Wan Ju Kang, David Hostallero, Yung Yi:
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/1905.05408 (2019) - 2018
- [c7]Daewoo Kim, Hyojung Lee, HyungSeok Song, Nakjung Choi, Yung Yi:
On the Economics of Fog Computing: Inter-Play among Infrastructure and Service Providers, Users, and Edge Resource Owners. ICC 2018: 1-6 - [c6]Jinhwan Jung, Daewoo Kim, Joonki Hong, Joohyun Kang, Yung Yi:
Parameterized slot scheduling for adaptive and autonomous TSCH networks. INFOCOM Workshops 2018: 76-81 - [c5]Yechan Yu, HoJin Kim, Jinjoo Ha, Daewoo Kim, Kang Yi:
Cost-Performance Comparison of Various Accelerator Implementation Platforms for Deep Convolutional Neural Network. PDCAT 2018: 335-344 - 2017
- [j1]Nakjung Choi, Daewoo Kim, Sung-Ju Lee, Yung Yi:
A Fog Operating System for User-Oriented IoT Services: Challenges and Research Directions. IEEE Commun. Mag. 55(8): 44-51 (2017) - [c4]Boram Jin, Daewoo Kim, Se-Young Yun, Jinwoo Shin, Seongik Hong, Byoung-Joon Lee, Yung Yi:
On the Delay Scaling Laws of Cache Networks. CFI 2017: 3:1-3:6 - [c3]Dong Nguyen, Daewoo Kim, Jongeun Lee:
Double MAC: Doubling the performance of convolutional neural networks on modern FPGAs. DATE 2017: 890-893 - [c2]Daewoo Kim, Mansureh S. Moghaddam, Hossein Moradian, Hyeon Uk Sim, Jongeun Lee, Kiyoung Choi:
FPGA implementation of convolutional neural network based on stochastic computing. FPT 2017: 287-290 - [c1]Daewoo Kim, Jinhwan Jung, Yoonpyo Koo, Yung Yi:
Revisiting Sensor MAC for Periodic Monitoring: Why Should Transmitters Be Early Birds? SECON 2017: 1-9 - 2013
- [i1]Boram Jin, Se-Young Yun, Daewoo Kim, Jinwoo Shin, Yung Yi, Seongik Hong, Byoung-Joon Lee:
On the Delay Scaling Laws of Cache Networks. CoRR abs/1310.0572 (2013)
Coauthor Index
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