High-ratio lossy compression: Exploring the autoencoder to compress scientific data T Liu, J Wang, Q Liu, S Alibhai, T Lu, X He IEEE Transactions on Big Data 9 (1), 22-36, 2021 | 55 | 2021 |
Exploring transfer learning to reduce training overhead of HPC data in machine learning T Liu, S Alibhai, J Wang, Q Liu, X He, C Wu 2019 IEEE International Conference on Networking, Architecture and Storage …, 2019 | 14 | 2019 |
Locality-based transfer learning on compression autoencoder for efficient scientific data lossy compression N Wang, T Liu, J Wang, Q Liu, S Alibhai, X He Journal of Network and Computer Applications 205, 103452, 2022 | 6 | 2022 |
A rack-aware pipeline repair scheme for erasure-coded distributed storage systems T Liu, S Alibhai, X He Proceedings of the 49th International Conference on Parallel Processing, 1-11, 2020 | 4 | 2020 |
Reference-counter aware deduplication in erasure-coded distributed storage system T Liu, X He, S Alibhai, C Wu 2018 IEEE International Conference on Networking, Architecture and Storage …, 2018 | 3 | 2018 |
Locality-based transfer learning on compression autoencoder for high-performance lossy compression of scientific data N Wang, T Liu, J Wang, Q Liu, S Alibhai, X He Journal of Network and Computer Applications 205 (C), 2022 | | 2022 |
IASLS a Mobile Application for Facilitating Communications in American Sign Language I Applebaum, T Elseify, L Miller, L Gomes, V Pham, S Alibhai, A Loza, ... Proceedings of 31st International Conference 88, 28-37, 2022 | | 2022 |
Reducing the Training Overhead of the HPC Compression Autoencoder via Dataset Proportioning T Liu, S Alibhai, J Wang, Q Liu, X He 2021 IEEE International Conference on Networking, Architecture and Storage …, 2021 | | 2021 |