Tong Liu

Orcid: 0000-0002-9582-3127

Affiliations:
  • Temple University, Department of Computer and Information Sciences, Philadelphia, PA, USA


According to our database1, Tong Liu authored at least 11 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
zPerf: A Statistical Gray-Box Approach to Performance Modeling and Extrapolation for Scientific Lossy Compression.
IEEE Trans. Computers, September, 2023

High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data.
IEEE Trans. Big Data, February, 2023

2022
Locality-based transfer learning on compression autoencoder for efficient scientific data lossy compression.
J. Netw. Comput. Appl., 2022

2021
Reducing the Training Overhead of the HPC Compression Autoencoder via Dataset Proportioning.
Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2021

2020
Compression Ratio Modeling and Estimation across Error Bounds for Lossy Compression.
IEEE Trans. Parallel Distributed Syst., 2020

EC-Fusion: An Efficient Hybrid Erasure Coding Framework to Improve Both Application and Recovery Performance in Cloud Storage Systems.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

A Rack-Aware Pipeline Repair Scheme for Erasure-Coded Distributed Storage Systems.
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.
Proceedings of the 2019 IEEE International Conference on Networking, 2019

2018
Reference-Counter Aware Deduplication in Erasure-Coded Distributed Storage System.
Proceedings of the 2018 IEEE International Conference on Networking, 2018

Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2016
CoARC: Co-operative, Aggressive Recovery and Caching for Failures in Erasure Coded Hadoop.
Proceedings of the 45th International Conference on Parallel Processing, 2016


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