| An empirical analysis of vm startup times in public iaas clouds J Hao, T Jiang, W Wang, IK Kim 2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 398-403, 2021 | 15 | 2021 |
| AI multi-tenancy on edge: Concurrent deep learning model executions and dynamic model placements on edge devices P Subedi, J Hao, IK Kim, L Ramaswamy 2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 31-42, 2021 | 12 | 2021 |
| Reaching for the sky: Maximizing deep learning inference throughput on edge devices with ai multi-tenancy J Hao, P Subedi, L Ramaswamy, IK Kim ACM Transactions on Internet Technology 23 (1), 1-33, 2023 | 7 | 2023 |
| An empirical analysis of VM startup times in public iaas clouds: An extended report J Hao, T Jiang, W Wang, IK Kim arXiv preprint arXiv:2107.03467, 2021 | 6 | 2021 |
| Characterizing resource heterogeneity in edge devices for deep learning inferences J Hao, P Subedi, IK Kim, L Ramaswamy Proceedings of the 2021 on Systems and Network Telemetry and Analytics, 21-24, 2020 | 5 | 2020 |
| DynaES: Dynamic Energy Scheduling for Energy Harvesting Environmental Sensors J Hao, E Oni, IK Kim, L Ramaswamy 2023 IEEE International Performance, Computing, and Communications …, 2023 | 1 | 2023 |
| Enhancing P300 Feature Extraction through Multi-Scale Separable Convolution M Liu, F Ahmad, J Hao, M Mehmood, I Ahmed, FR Beyette SoutheastCon 2024, 1420-1425, 2024 | | 2024 |
| Toward Low-Cost and Sustainable IoT Systems for Soil Monitoring in Coastal Wetlands J Hao, R Sharma, MB Fleming, IK Kim, DR Mishra, SS Kim, LA Sutter, ... 2023 IEEE 9th International Conference on Collaboration and Internet …, 2023 | | 2023 |
In Kee KimThe University of Georgia在 uga.edu 的电子邮件经过验证
