Shakeel Alibhai

According to our database, Shakeel Alibhai authored at least 6 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data.

Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Tao Lu, Xubin He

IEEE Trans. Big Data, February, 2023

2022

Locality-based transfer learning on compression autoencoder for efficient scientific data lossy compression.

Nan Wang, Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Xubin He

J. Netw. Comput. Appl., 2022

2021

Reducing the Training Overhead of the HPC Compression Autoencoder via Dataset Proportioning.

Tong Liu, Shakeel Alibhai, Jinzhen Wang, Qing Liu, Xubin He

Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2021

2020

A Rack-Aware Pipeline Repair Scheme for Erasure-Coded Distributed Storage Systems.

Tong Liu, Shakeel Alibhai, Xubin He

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

2019

Exploring Transfer Learning to Reduce Training Overhead of HPC Data in Machine Learning.

Tong Liu, Shakeel Alibhai, Jinzhen Wang, Qing Liu, Xubin He, Chentao Wu

Proceedings of the 2019 IEEE International Conference on Networking, 2019

2018

Reference-Counter Aware Deduplication in Erasure-Coded Distributed Storage System.

Tong Liu, Xubin He, Shakeel Alibhai, Chentao Wu

Proceedings of the 2018 IEEE International Conference on Networking, 2018