| 2024 | EuroSys | MTM: Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory. | Jie Ren, Dong Xu, Junhee Ryu, Kwangsik Shin, Daewoo Kim, Dong Li |
| 2024 | PPoPP | Are Your Epochs Too Epic? Batch Free Can Be Harmful. | Daewoo Kim, Trevor Brown, Ajay Singh |
| 2024 | SC | 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 |
| 2022 | ICRA | 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 |
| 2019 | ASPDAC | On-chip memory optimization for high-level synthesis of multi-dimensional data on FPGA. | Daewoo Kim, Sugil Lee, Jongeun Lee |
| 2019 | ICLR | Learning to Schedule Communication in Multi-agent Reinforcement Learning. | Daewoo Kim, Sangwoo Moon, David Hostallero, Wan Ju Kang, Taeyoung Lee, Kyunghwan Son, Yung Yi |
| 2019 | ICML | QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning. | Kyunghwan Son, Daewoo Kim, Wan Ju Kang, David Hostallero, Yung Yi |
| 2018 | INFOCOM | Parameterized slot scheduling for adaptive and autonomous TSCH networks. | Jinhwan Jung, Daewoo Kim, Joonki Hong, Joohyun Kang, Yung Yi |
| 2018 | PDCAT | Cost-Performance Comparison of Various Accelerator Implementation Platforms for Deep Convolutional Neural Network. | Yechan Yu, HoJin Kim, Jinjoo Ha, Daewoo Kim, Kang Yi |
| 2017 | DATE | Double MAC: Doubling the performance of convolutional neural networks on modern FPGAs. | Dong Nguyen, Daewoo Kim, Jongeun Lee |
| 2017 | SECON | Revisiting Sensor MAC for Periodic Monitoring: Why Should Transmitters Be Early Birds? | Daewoo Kim, Jinhwan Jung, Yoonpyo Koo, Yung Yi |