Seulki Lee
Orcid: 0009-0004-7162-0845Affiliations:
- Ulsan National Institute of Science and Technology, South Korea
- University of North Carolina at Chapel Hill, NC, USA (PhD 2021)
According to our database1,
Seulki Lee
authored at least 20 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
On-device Sora: Enabling Diffusion-Based Text-to-Video Generation for Mobile Devices.
CoRR, February, 2025
Proceedings of the 19th USENIX Symposium on Operating Systems Design and Implementation, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Proceedings of the Computer Vision - ACCV 2024, 2024
2023
Multitask Deep Learning for Human Activity, Speed, and Body Weight Estimation Using Commercial Smart Insoles.
IEEE Internet Things J., September, 2023
On-NAS: On-Device Neural Architecture Search on Memory-Constrained Intelligent Embedded Systems.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023
Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023
2022
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2022
2021
Deep Functional Network (DFN): Functional Interpretation of Deep Neural Networks for Intelligent Sensing Systems.
Proceedings of the IPSN '21: The 20th International Conference on Information Processing in Sensor Networks, 2021
2020
Proceedings of the AIChallengeIoT@SenSys 2020: Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, 2020
SubFlow: A Dynamic Induced-Subgraph Strategy Toward Real-Time DNN Inference and Training.
Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, 2020
Fast and scalable in-memory deep multitask learning via neural weight virtualization.
Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020
2019
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019
Neuro.ZERO: a zero-energy neural network accelerator for embedded sensing and inference systems.
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019
Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 2019
2018
Proceedings of the 14th International Conference on Distributed Computing in Sensor Systems, 2018