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Shakeel Alibhai
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2020 – today
- 2023
- [j2]Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Tao Lu, Xubin He:
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data. IEEE Trans. Big Data 9(1): 22-36 (2023) - 2022
- [j1]Nan Wang, Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Xubin He:
Locality-based transfer learning on compression autoencoder for efficient scientific data lossy compression. J. Netw. Comput. Appl. 205: 103452 (2022) - 2021
- [c4]Tong Liu, Shakeel Alibhai, Jinzhen Wang, Qing Liu, Xubin He:
Reducing the Training Overhead of the HPC Compression Autoencoder via Dataset Proportioning. NAS 2021: 1-7 - 2020
- [c3]Tong Liu, Shakeel Alibhai, Xubin He:
A Rack-Aware Pipeline Repair Scheme for Erasure-Coded Distributed Storage Systems. ICPP 2020: 37:1-37:11
2010 – 2019
- 2019
- [c2]Tong Liu, Shakeel Alibhai, Jinzhen Wang, Qing Liu, Xubin He, Chentao Wu:
Exploring Transfer Learning to Reduce Training Overhead of HPC Data in Machine Learning. NAS 2019: 1-7 - 2018
- [c1]Tong Liu, Xubin He, Shakeel Alibhai, Chentao Wu:
Reference-Counter Aware Deduplication in Erasure-Coded Distributed Storage System. NAS 2018: 1-10
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