CoARC: Co-operative, Aggressive Recovery and Caching for Failures in Erasure Coded Hadoop. - Pradeep Subedi; Ping Huang 001; Tong Liu 030; Joseph Moore; Stan Skelton; Xubin He (ICPP, 2016)

Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data. - Tao Lu; Qing Liu 002; Xubin He; Huizhang Luo; Eric Suchyta; Jong Choi 001; Norbert Podhorszki; Scott Klasky; Matthew Wolf; Tong Liu 030; Zhenbo Qiao (IPDPS, 2018)

Reference-Counter Aware Deduplication in Erasure-Coded Distributed Storage System. - Tong Liu 030; Xubin He; Shakeel Alibhai; Chentao Wu (NAS, 2018)

Exploring Transfer Learning to Reduce Training Overhead of HPC Data in Machine Learning. - Tong Liu 030; Shakeel Alibhai; Jinzhen Wang; Qing Liu 002; Xubin He; Chentao Wu (NAS, 2019)

A Rack-Aware Pipeline Repair Scheme for Erasure-Coded Distributed Storage Systems. - Tong Liu 030; Shakeel Alibhai; Xubin He (ICPP, 2020)

EC-Fusion: An Efficient Hybrid Erasure Coding Framework to Improve Both Application and Recovery Performance in Cloud Storage Systems. - Han Qiu 003; Chentao Wu; Jie Li 002; Minyi Guo; Tong Liu 030; Xubin He; Yuanyuan Dong; Yafei Zhao (IPDPS, 2020)

Compression Ratio Modeling and Estimation across Error Bounds for Lossy Compression. - Jinzhen Wang; Tong Liu 030; Qing Liu 002; Xubin He; Huizhang Luo; Weiming He (IEEE Trans. Parallel Distributed Syst., 2020)

Reducing the Training Overhead of the HPC Compression Autoencoder via Dataset Proportioning. - Tong Liu 030; Shakeel Alibhai; Jinzhen Wang; Qing Liu 002; Xubin He (NAS, 2021)

Locality-based transfer learning on compression autoencoder for efficient scientific data lossy compression. - Nan Wang; Tong Liu 030; Jinzhen Wang; Qing Liu 002; Shakeel Alibhai; Xubin He (J. Netw. Comput. Appl., 2022)

High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data. - Tong Liu 030; Jinzhen Wang; Qing Liu 002; Shakeel Alibhai; Tao Lu; Xubin He (IEEE Trans. Big Data, 2023)

zPerf: A Statistical Gray-Box Approach to Performance Modeling and Extrapolation for Scientific Lossy Compression. - Jinzhen Wang; Qi Chen; Tong Liu 030; Qing Liu 002; Xubin He (IEEE Trans. Computers, 2023)