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| Nnstreamer: Stream processing paradigm for neural networks, toward efficient development and execution of on-device AI applications MJ Ham, JJ Moon, G Lim, W Song, J Jung, H Ahn, S Woo, Y Cho, J Park, ... arXiv preprint arXiv:1901.04985, 2019 | 8 | 2019 |
| NNStreamer: Efficient and Agile Development of On-Device AI Systems MJ Ham, J Moon, G Lim, J Jung, H Ahn, W Song, S Woo, P Kapoor, ... 2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021 | 7 | 2021 |
| Toward among-device AI from on-device AI with stream pipelines MJ Ham, S Woo, J Jung, W Song, G Jang, Y Ahn, H Ahn Proceedings of the 44th International Conference on Software Engineering …, 2022 | | 2022 |
| Electronic device for controlling data processing of modularized neural network, and method for controlling same HAM Myungjoo, J Moon, P Jinhyuck, AHN Hyoungjoo, LIM Geunsik, ... US Patent App. 17/266,781, 2021 | | 2021 |
| 2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)| 978-1-6654-9590-5/22/$31.00© 2022 IEEE| DOI: 10.1109/ICSE … R Abreu, A Ahmad, H Ahn, Y Ahn, T Akomolede, S Alamir, P Alexander, ... | | |
| 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)| 978-1-6654-3869-8/20/$31.00© 2021 IEEE| DOI: 10.1109/ICSE … N Abburu, J Ahlgren, H Ahn, Y Ahn, D Åkerman, A Akimov, EA AlOmar, ... | | |
