| Intermittent learning: On-device machine learning on intermittently powered system S Lee, B Islam, Y Luo, S Nirjon Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 55 | 2019 |
| Fast and scalable in-memory deep multitask learning via neural weight virtualization S Lee, S Nirjon Proceedings of the 18th International Conference on Mobile Systems …, 2020 | 49 | 2020 |
| Neuro. zero: a zero-energy neural network accelerator for embedded sensing and inference systems S Lee, S Nirjon Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 138-152, 2019 | 48 | 2019 |
| SubFlow: A dynamic induced-subgraph strategy toward real-time DNN inference and training S Lee, S Nirjon 2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS …, 2020 | 43 | 2020 |
| Learning in the wild: When, how, and what to learn for on-device dataset adaptation S Lee, S Nirjon Proceedings of the 2nd International Workshop on Challenges in Artificial …, 2020 | 16 | 2020 |
| On-device training from sensor data on batteryless platforms B Islam, Y Luo, S Lee, S Nirjon Proceedings of the 18th International Conference on Information Processing …, 2019 | 12 | 2019 |
| Multi-task Deep Learning for Human Activity, Speed, and Body Weight Estimation using Commercial Smart Insoles J Kim, H Kang, J Yang, H Jung, S Lee, J Lee IEEE Internet of Things Journal, 2023 | 5 | 2023 |
| Weight Separation for Memory-Efficient and Accurate Deep Multitask Learning S Lee, S Nirjon 2022 IEEE International Conference on Pervasive Computing and Communications …, 2022 | 3 | 2022 |
| Deep Functional Network (DFN): Functional Interpretation of Deep Neural Networks for Intelligent Sensing Systems S Lee, S Nirjon Proceedings of the 20th International Conference on Information Processing …, 2021 | 1 | 2021 |
| Enabling Deep Intelligence on Embedded Systems S Lee The University of North Carolina at Chapel Hill, 2021 | 1 | 2021 |
| Time-aware deep intelligence on batteryless systems B Islam, S Lee, S Nirjon Brief Presentations Proceedings (RTAS 2019), 5, 2019 | 1 | 2019 |
| Knowledge transfer between embedded controllers S Lee, S Nirjon 2018 14th International Conference on Distributed Computing in Sensor …, 2018 | 1 | 2018 |
| Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks C Lee, S Lee Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| MicroDeblur: Image Motion Deblurring on Microcontroller-based Vision Systems S Lee Proceedings of the 22nd International Conference on Information Processing …, 2023 | | 2023 |
| On-NAS: On-Device Neural Architecture Search on Memory-Constrained Intelligent Embedded Systems B Kim, S Lee | | 2023 |
| 임베디드 시스템에서의 심층 신경망 실시간 추론 이슬기 정보과학회지 40 (7), 28-33, 2022 | | 2022 |
| Hierarchical Container System with Real-time Task Reweighting S Lee | | 2016 |
| RTAS 2020 S Lee, S Nirjon, F Markovic, J Carlson, S Heo, S Song, B Kim, H Kim, ... | | |
| One-shot Learning Using Sparse Model for Resource-Constrained Systems S Lee | | |
Shahriar NirjonAssistant Professor of Computer Science, UNC Chapel Hill, NCVerified email at cs.unc.edu
