| Joint optimization of speed, accuracy, and energy for embedded image recognition systems D Kang, DH Kang, J Kang, S Yoo, S Ha 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 715-720, 2018 | 32 | 2018 |
| Scheduling of deep learning applications onto heterogeneous processors in an embedded device D Kang, J Oh, J Choi, Y Yi, S Ha IEEE Access 8, 43980-43991, 2020 | 21 | 2020 |
| C-GOOD: C-code generation framework for optimized on-device deep learning D Kang, E Kim, I Bae, B Egger, S Ha 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2018 | 20 | 2018 |
| Fifa: A kernel-level fault injection framework for arm-based embedded linux system E Jeong, N Lee, J Kim, D Kang, S Ha 2017 IEEE International Conference on Software Testing, Verification and …, 2017 | 17 | 2017 |
| A space-and energy-efficient code compression/decompression technique for coarse-grained reconfigurable architectures B Egger, H Lee, D Kang, MS Moghaddam, Y Cho, Y Lee, S Kim, S Ha, ... 2017 IEEE/ACM International Symposium on Code Generation and Optimization …, 2017 | 16 | 2017 |
| Real-time co-scheduling of multiple dataflow graphs on multi-processor systems S Kang, D Kang, H Yang, S Ha Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016 | 10 | 2016 |
| Architectures and algorithms for user customization of CNNs B Harris, MS Moghaddam, D Kang, I Bae, E Kim, H Min, H Cho, S Kim, ... 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 540-547, 2018 | 9 | 2018 |
| S3nas: Fast npu-aware neural architecture search methodology J Lee, D Kang, S Ha arXiv preprint arXiv:2009.02009, 2020 | 7 | 2020 |
| Multi-bank on-chip memory management techniques for cnn accelerators D Kang, D Kang, S Ha IEEE Transactions on Computers 71 (5), 1181-1193, 2021 | 4 | 2021 |
| SNAS: Fast Hardware-Aware Neural Architecture Search Methodology J Lee, J Rhim, D Kang, S Ha IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 3 | 2021 |
| Apparatus and method with neural network operation J Hanwoong, HA Soonhoi, K Donghyun, K Duseok US Patent App. 17/863,963, 2023 | | 2023 |
| Apparatus and method with neural network operation J Hanwoong, HA Soonhoi, K Donghyun, K Duseok US Patent App. 17/863,662, 2023 | | 2023 |
| Neural network operation apparatus and method J Hanwoong, HA Soonhoi, K Donghyun, K Duseok US Patent App. 17/378,867, 2022 | | 2022 |
| Analysis of the Effect of Off-chip Memory Access on the Performance of an NPU System K Lee, D Kang, D Kang, S Ha 2022 23rd International Symposium on Quality Electronic Design (ISQED), 13-18, 2022 | | 2022 |
| Incremental training of CNNs for user customization: work-in-progress MS Moghaddam, B Harris, D Kang, I Bae, E Kim, H Min, H Cho, S Kim, ... Proceedings of the 2017 International Conference on Compilers, Architectures …, 2017 | | 2017 |
| Work-in-progress: incremental training of CNNs for user customization MS Moghaddam, B Harris, D Kang, I Bae, E Kim, H Min, H Cho, S Kim, ... 2017 International Conference on Compilers, Architectures and Synthesis For …, 2017 | | 2017 |
| Co-scheduling Technique of Dataflow Applications with Shared Processor Allocation D Kang, S Kang, H Yang, S Ha KIISE Transactions on Computing Practices 22 (1), 1-7, 2016 | | 2016 |
| Design Methodology for Low-Power Image Recognition Systems S Ha, EJ Jeong, D Kang, J Kim, D Kang Low-Power Computer Vision, 191-220, 0 | | |
