Follow
Shakeel Alibhai
Shakeel Alibhai
Computer Science Student, Temple University
No verified email - Homepage
Title
Cited by
Cited by
Year
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
552021
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
142019
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
62022
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
42020
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
32018
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
The system can't perform the operation now. Try again later.
Articles 1–8