| Nebula: Distributed edge cloud for data intensive computing M Ryden, K Oh, A Chandra, J Weissman 2014 IEEE International Conference on Cloud Engineering, 57-66, 2014 | 153 | 2014 |
| Nebula: Distributed edge cloud for data intensive computing A Jonathan, M Ryden, K Oh, A Chandra, J Weissman IEEE Transactions on Parallel and Distributed Systems 28 (11), 3229-3242, 2017 | 74 | 2017 |
| High-speed image reconstruction for optically sectioned, super-resolution structured illumination microscopy Z Wang, T Zhao, H Hao, Y Cai, K Feng, X Yun, Y Liang, S Wang, Y Sun, ... Advanced Photonics 4 (2), 026003-026003, 2022 | 55 | 2022 |
| Network cost-aware geo-distributed data analytics system K Oh, M Zhang, A Chandra, J Weissman IEEE Transactions on Parallel and Distributed Systems 33 (6), 1407-1420, 2021 | 30 | 2021 |
| TripS: Automated multi-tiered data placement in a geo-distributed cloud environment K Oh, A Chandra, J Weissman Proceedings of the 10th ACM International Systems and Storage Conference, 1-11, 2017 | 24 | 2017 |
| Wiera: Towards flexible multi-tiered geo-distributed cloud storage instances K Oh, A Chandra, J Weissman Proceedings of the 25th ACM International Symposium on High-Performance …, 2016 | 17 | 2016 |
| Rapid, artifact-reduced, image reconstruction for super-resolution structured illumination microscopy Z Wang, T Zhao, Y Cai, J Zhang, H Hao, Y Liang, S Wang, Y Sun, T Chen, ... The Innovation 4 (3), 2023 | 16 | 2023 |
| Wiera: Policy-driven multi-tiered geo-distributed cloud storage system K Oh, N Qin, A Chandra, J Weissman IEEE Transactions on Parallel and Distributed Systems 31 (2), 294-305, 2019 | 16 | 2019 |
| Redefining data locality for cross-data center storage K Oh, A Raghavan, A Chandra, J Weissman Proceedings of the 2nd International Workshop on Software-Defined Ecosystems …, 2015 | 14 | 2015 |
| Code inspection support for recurring changes with deep learning in evolving software KT Ayinala, KS Cheng, K Oh, T Song, M Song 2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020 | 3 | 2020 |
| Cocoa: Towards a Scalable Compute Cost-aware Data Analytics System K Oh, M Song 2021 IEEE International Conference on Cloud Engineering (IC2E), 110-117, 2021 | 2 | 2021 |
| Tool Support for Code Change Inspection with Deep Learning in Evolving Software KT Ayinala, KS Cheng, K Oh, M Song 2020 IEEE International Conference on Electro Information Technology (EIT …, 2020 | 2 | 2020 |
| Facile Conversion and Optimization of Structured Illumination Image Reconstruction Code into the GPU Environment K Oh, PR Bianco International Journal of Biomedical Imaging 2024, 2023 | 1 | 2023 |
| Smartpick: Workload Prediction for Serverless-enabled Scalable Data Analytics Systems AD Mohapatra, K Oh Proceedings of the 24th International Middleware Conference, 29-42, 2023 | | 2023 |
| High-speed image reconstruction for super-resolution structured illumination microscopy using facile optimization and conversion of reconstruction code in the GPU environment K Oh, PR Bianco SPIE-CLP Conference on Advanced Photonics 2023 12746, 12-19, 2023 | | 2023 |
| Rapid, artifact-reduced, image reconstruction for super-resolution structured illumination microscopy M Lei, Z Wang, TY Zhao, Y Cai, JX Zhang, H Hao, YS Liang, S Wang, ... | | 2022 |
| A Network Cost-aware Geo-distributed Data Analytics System K Oh, A Chandra, J Weissman 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020 | | 2020 |
| Exploiting Heterogeneous Resources in a Multi-cloud Environment K Oh University of Minnesota, 2019 | | 2019 |
Jon B WeissmanProfessor, University of MinnesotaVerified email at cs.umn.edu
