| Performance analysis of GPU-based convolutional neural networks X Li, G Zhang, HH Huang, Z Wang, W Zheng 2016 45th International conference on parallel processing (ICPP), 67-76, 2016 | 171 | 2016 |
| Re-Stream: Real-time and energy-efficient resource scheduling in big data stream computing environments D Sun, G Zhang, S Yang, W Zheng, SU Khan, K Li Information Sciences 319, 92-112, 2015 | 127 | 2015 |
| Big data stream computing: technologies and instances 孙大为， 张广艳， 郑纬民 Journal of Software 25 (4), 839-862, 2014 | 124 | 2014 |
| {FastScale}: Accelerate {RAID} Scaling by Minimizing Data Migration W Zheng, G Zhang 9th USENIX Conference on File and Storage Technologies (FAST 11), 2011 | 92 | 2011 |
| Boafft: Distributed deduplication for big data storage in the cloud S Luo, G Zhang, C Wu, SU Khan, K Li IEEE transactions on cloud computing 8 (4), 1199-1211, 2015 | 72 | 2015 |
| ALV: A new data redistribution approach to RAID-5 scaling G Zhang, W Zheng, J Shu IEEE Transactions on Computers 59 (3), 345-357, 2009 | 58 | 2009 |
| SLAS: An efficient approach to scaling round-robin striped volumes G Zhang, J Shu, W Xue, W Zheng ACM Transactions on Storage (TOS) 3 (1), 3-es, 2007 | 51 | 2007 |
| Accelerate rdp raid-6 scaling by reducing disk i/os and xor operations G Zhang, K Li, J Wang, W Zheng IEEE Transactions on Computers 64 (1), 32-44, 2013 | 44 | 2013 |
| Fastraq: A fast approach to range-aggregate queries in big data environments X Yun, G Wu, G Zhang, K Li, S Wang IEEE Transactions on Cloud Computing 3 (2), 206-218, 2014 | 43 | 2014 |
| Rethinking RAID-5 data layout for better scalability G Zhang, W Zheng, K Li IEEE Transactions on Computers 63 (11), 2816-2828, 2013 | 40 | 2013 |
| Key Technologies for Big Data Stream Computing. D Sun, G Zhang, W Zheng, K Li Big Data-Algorithms, Analytics, and Applications, 193-214, 2015 | 36 | 2015 |
| {RAID+}: Deterministic and Balanced Data Distribution for Large Disk Enclosures G Zhang, Z Huang, X Ma, S Yang, Z Wang, W Zheng 16th USENIX Conference on File and Storage Technologies (FAST 18), 279-294, 2018 | 34 | 2018 |
| Building a fault tolerant framework with deadline guarantee in big data stream computing environments D Sun, G Zhang, C Wu, K Li, W Zheng Journal of Computer and System Sciences 89, 4-23, 2017 | 31 | 2017 |
| Deep learning and its parallelization X Li, G Zhang, K Li, W Zheng Big data 12, 2016 | 29 | 2016 |
| CaCo: An efficient cauchy coding approach for cloud storage systems G Zhang, G Wu, S Wang, J Shu, W Zheng, K Li IEEE Transactions on Computers 65 (2), 435-447, 2015 | 21 | 2015 |
| {FusionRAID}: Achieving Consistent Low Latency for Commodity {SSD} Arrays T Jiang, G Zhang, Z Huang, X Ma, J Wei, Z Li, W Zheng 19th USENIX Conference on File and Storage Technologies (FAST 21), 355-370, 2021 | 19 | 2021 |
| Design and implementation of an out-of-band virtualization system for large SANs G Zhang, J Shu, W Xue, W Zheng IEEE transactions on computers 56 (12), 1654-1665, 2007 | 19 | 2007 |
| Dayu: Fast and low-interference data recovery in very-large storage systems Z Wang, G Zhang, Y Wang, Q Yang, J Zhu 2019 USENIX Annual Technical Conference (USENIX ATC 19), 993-1008, 2019 | 16 | 2019 |
| Xscale: online X-code RAID-6 scaling using lightweight data reorganization G Zhang, G Wu, Y Lu, J Wu, W Zheng IEEE Transactions on Parallel and Distributed Systems 27 (12), 3687-3700, 2016 | 16 | 2016 |
| On the feasibility of parser-based log compression in {Large-Scale} cloud systems J Wei, G Zhang, Y Wang, Z Liu, Z Zhu, J Chen, T Sun, Q Zhou 19th USENIX Conference on File and Storage Technologies (FAST 21), 249-262, 2021 | 14 | 2021 |
