On the Delay Scaling Laws of Cache Networks. - Boram Jin; Daewoo Kim; Se-Young Yun; Jinwoo Shin; Seongik Hong; Byoung-Joon Lee; Yung Yi (CFI, 2017)

Double MAC: Doubling the performance of convolutional neural networks on modern FPGAs. - Dong Nguyen 001; Daewoo Kim; Jongeun Lee (DATE, 2017)

FPGA implementation of convolutional neural network based on stochastic computing. - Daewoo Kim; Mansureh S. Moghaddam; Hossein Moradian; Hyeon Uk Sim; Jongeun Lee; Kiyoung Choi (FPT, 2017)

Revisiting Sensor MAC for Periodic Monitoring: Why Should Transmitters Be Early Birds? - Daewoo Kim; Jinhwan Jung; Yoonpyo Koo; Yung Yi (SECON, 2017)

A Fog Operating System for User-Oriented IoT Services: Challenges and Research Directions. - Nakjung Choi; Daewoo Kim; Sung-Ju Lee; Yung Yi (IEEE Commun. Mag., 2017)

On the Economics of Fog Computing: Inter-Play among Infrastructure and Service Providers, Users, and Edge Resource Owners. - Daewoo Kim; Hyojung Lee; HyungSeok Song; Nakjung Choi; Yung Yi (ICC, 2018)

Parameterized slot scheduling for adaptive and autonomous TSCH networks. - Jinhwan Jung; Daewoo Kim; Joonki Hong; Joohyun Kang; Yung Yi (INFOCOM Workshops, 2018)

Cost-Performance Comparison of Various Accelerator Implementation Platforms for Deep Convolutional Neural Network. - Yechan Yu; HoJin Kim; Jinjoo Ha; Daewoo Kim; Kang Yi (PDCAT, 2018)

On-chip memory optimization for high-level synthesis of multi-dimensional data on FPGA. - Daewoo Kim; Sugil Lee; Jongeun Lee (ASP-DAC, 2019)

Learning to Schedule Communication in Multi-agent Reinforcement Learning. - Daewoo Kim; Sangwoo Moon; David Hostallero; Wan Ju Kang; Taeyoung Lee; Kyunghwan Son; Yung Yi (ICLR (Poster), 2019)

QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning. - Kyunghwan Son; Daewoo Kim; Wan Ju Kang; David Hostallero; Yung Yi (ICML, 2019)

Double MAC on a DSP: Boosting the Performance of Convolutional Neural Networks on FPGAs. - Sugil Lee; Daewoo Kim; Dong Nguyen 001; Jongeun Lee (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Inducing Cooperation through Reward Reshaping based on Peer Evaluations in Deep Multi-Agent Reinforcement Learning. - David Earl Hostallero; Daewoo Kim; Sangwoo Moon; Kyunghwan Son; Wan Ju Kang; Yung Yi (AAMAS, 2020)

Distributed Slot Scheduling for QoS Guarantee over TSCH-based IoT Networks via Adaptive Parameterization. - Jinhwan Jung; Daewoo Kim; Taeyoung Lee; Joohyun Kang; Namjo Ahn; Yung Yi (IPSN, 2020)

Bird-MAC: Energy-Efficient MAC for Quasi-Periodic IoT Applications by Avoiding Early Wake-up. - Daewoo Kim; Jinhwan Jung; Yoonpyo Koo; Yung Yi (IEEE Trans. Mob. Comput., 2020)

Economics of Fog Computing: Interplay Among Infrastructure and Service Providers, Users, and Edge Resource Owners. - Daewoo Kim; Hyojung Lee; HyungSeok Song; Nakjung Choi; Yung Yi (IEEE Trans. Mob. Comput., 2020)

Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation. - Maximilian Igl; Daewoo Kim; Alex Kuefler; Paul Mougin; Punit Shah; Kyriacos Shiarlis; Dragomir Anguelov; Mark Palatucci; Brandyn White; Shimon Whiteson (ICRA, 2022)

HM-Keeper: Scalable Page Management for Multi-Tiered Large Memory Systems. - Jie Ren 015; Dong Xu; Ivy Peng; Junhee Ryu; Kwangsik Shin; Daewoo Kim; Dong Li 001 (CoRR, 2023)

MTM: Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory. - Jie Ren 015; Dong Xu; Junhee Ryu; Kwangsik Shin; Daewoo Kim; Dong Li 001 (EuroSys, 2024)

Are Your Epochs Too Epic? Batch Free Can Be Harmful. - Daewoo Kim; Trevor Brown 001; Ajay Singh 002 (PPoPP, 2024)

Efficient Tensor Offloading for Large Deep-Learning Model Training based on Compute Express Link. - Dong Xu; Yuan Feng; Kwangsik Shin; Daewoo Kim; Hyeran Jeon; Dong Li (SC, 2024)

TWLV-I: Analysis and Insights from Holistic Evaluation on Video Foundation Models. - 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; et al. (CoRR, 2024)