Qing Liu
Cited by
Cited by
Accelerating restore and garbage collection in deduplication-based backup systems via exploiting historical information
M Fu, D Feng, Y Hua, X He, Z Chen, W Xia, F Huang, Q Liu
2014 {USENIX} Annual Technical Conference ({USENIX}{ATC} 14), 181-192, 2014
Fastcdc: a fast and efficient content-defined chunking approach for data deduplication
W Xia, Y Zhou, H Jiang, D Feng, Y Hua, Y Hu, Q Liu, Y Zhang
2016 {USENIX} Annual Technical Conference ({USENIX}{ATC} 16), 101-114, 2016
Reducing fragmentation for in-line deduplication backup storage via exploiting backup history and cache knowledge
M Fu, D Feng, Y Hua, X He, Z Chen, J Liu, W Xia, F Huang, Q Liu
IEEE Transactions on Parallel and Distributed Systems 27 (3), 855-868, 2015
Z Codes: General Systematic Erasure Codes with Optimal Repair Bandwidth and Storage for Distributed Storage Systems
Q Liu, D Feng, H Jiangy, Y Hu, T Jiao
2015 IEEE 34th Symposium on Reliable Distributed Systems (SRDS), 212-217, 2015
Systematic erasure codes with optimal repair bandwidth and storage
Q Liu, D Feng, H Jiang, Y Hu, T Jiao
ACM Transactions on Storage (TOS) 13 (3), 1-27, 2017
High-Performance General Functional Regenerating Codes with Near-Optimal Repair Bandwidth
Q Liu, D Feng, Y Hu, Z Shi, M Fu
ACM Transactions on Storage (TOS) 13 (2), 1-28, 2017
General functional regenerating codes with uncoded repair for distributed storage system
Q Liu, D Feng, Z Shi, M Fu
2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2015
Hybrid-RC: Flexible Erasure Codes with Optimized Recovery Performance and Low Storage Overhead
L Ye, D Feng, Y Hu, Q Liu
2017 IEEE 36th Symposium on Reliable Distributed Systems (SRDS), 124-133, 2017
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
Cross dehydrogenative coupling strategy for allylation of benzylanilines promoted by DDQ
R Xiong, MI Hussain, Q Liu, W Xia, Y Xiong
Tetrahedron 76 (1), 130798, 2020
Compression ratio modeling and estimation across error bounds for lossy compression
J Wang, T Liu, Q Liu, X He, H Luo, W He
IEEE Transactions on Parallel and Distributed Systems 31 (7), 1621-1635, 2019
Identifying latent reduced models to precondition lossy compression
H Luo, D Huang, Q Liu, Z Qiao, H Jiang, J Bi, H Yuan, M Zhou, J Wang, ...
2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019
Ustor: Cloud storage system based on regenerating codes
Q Liu, D Feng, B Li
Journal of Communications 35 (4), 166-173, 2014
Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management
X Liang, B Whitney, J Chen, L Wan, Q Liu, D Tao, J Kress, D Pugmire, ...
arXiv preprint arXiv:2010.05872, 2020
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs
J Chen, L Wan, X Liang, B Whitney, Q Liu, D Pugmire, N Thompson, ...
arXiv preprint arXiv:2007.04457, 2020
Fine-grained resource provisioning and task scheduling for heterogeneous applications in distributed green clouds
H Yuan, MC Zhou, Q Liu, A Abusorrah
IEEE/CAA Journal of Automatica Sinica 7 (5), 1380-1393, 2020
Load-aware Elastic Data Reduction and Re-computation for Adaptive Mesh Refinement
M Wang, H Luo, Q Liu, H Jiang
2019 IEEE International Conference on Networking, Architecture and Storage …, 2019
Active workflow system for near real-time extreme-scale science. In: PPAA'14 Proceedings of the first workshop on Parallel programming for analytics applications
Y Zhang, Q Liu, S Klasky, M Wolf, K Schwan, G Eisenhauer, J Choi, ...
Oak Ridge National Laboratory, Oak Ridge Leadership Computing Facility (OLCF), 2014
Adaptive Sequential Prefetching for Multiple Streams
Y Li, D Feng, Z Shi, Q Liu
International Conference on Web-Age Information Management, 46-55, 2013
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