Foggycache: Cross-device approximate computation reuse P Guo, B Hu, R Li, W Hu Proceedings of the 24th annual international conference on mobile computing …, 2018 | 106 | 2018 |
Potluck: Cross-application approximate deduplication for computation-intensive mobile applications P Guo, W Hu Proceedings of the Twenty-Third International Conference on Architectural …, 2018 | 72 | 2018 |
Mistify: Automating {DNN} Model Porting for {On-Device} Inference at the Edge P Guo, B Hu, W Hu 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2021 | 49 | 2021 |
Sommelier: Curating DNN Models for the Masses P Guo, B Hu, W Hu Proceedings of the 2022 International Conference on Management of Data, 1876 …, 2022 | 8 | 2022 |
Video-zilla: An indexing layer for large-scale video analytics B Hu, P Guo, W Hu Proceedings of the 2022 International Conference on Management of Data, 1905 …, 2022 | 6 | 2022 |
Tensor index for large scale image retrieval L Zheng, S Wang, P Guo, H Liang, Q Tian Multimedia Systems 21, 569-579, 2015 | 6 | 2015 |
Libra and the art of task sizing in big-data analytic systems R Li, P Guo, B Hu, W Hu Symposium on Cloud Computing, 2019 | 2 | 2019 |
Service Abstractions for Scalable Deep Learning Inference at the Edge P Guo Yale University, 2021 | | 2021 |