Aod-net: All-in-one dehazing network B Li, X Peng, Z Wang, J Xu, D Feng Proceedings of the IEEE international conference on computer vision, 4770-4778, 2017 | 2134 | 2017 |
Benchmarking single-image dehazing and beyond B Li, W Ren, D Fu, D Tao, D Feng, W Zeng, Z Wang IEEE Transactions on Image Processing 28 (1), 492-505, 2018 | 1777 | 2018 |
Performance impact and interplay of SSD parallelism through advanced commands, allocation strategy and data granularity Y Hu, H Jiang, D Feng, L Tian, H Luo, S Zhang Proceedings of the international conference on Supercomputing, 96-107, 2011 | 443 | 2011 |
CDRM: A cost-effective dynamic replication management scheme for cloud storage cluster Q Wei, B Veeravalli, B Gong, L Zeng, D Feng 2010 IEEE international conference on cluster computing, 188-196, 2010 | 352 | 2010 |
A comprehensive study of the past, present, and future of data deduplication W Xia, H Jiang, D Feng, F Douglis, P Shilane, Y Hua, M Fu, Y Zhang, ... Proceedings of the IEEE 104 (9), 1681-1710, 2016 | 347 | 2016 |
{SiLo}: A {Similarity-Locality} based {Near-Exact} deduplication scheme with low {RAM} overhead and high throughput W Xia, H Jiang, D Feng, Y Hua 2011 USENIX Annual Technical Conference (USENIX ATC 11), 2011 | 274 | 2011 |
An all-in-one network for dehazing and beyond B Li, X Peng, Z Wang, J Xu, D Feng arXiv preprint arXiv:1707.06543, 2017 | 200 | 2017 |
Exploring and exploiting the multilevel parallelism inside SSDs for improved performance and endurance Y Hu, H Jiang, D Feng, L Tian, H Luo, C Ren IEEE Transactions on Computers 62 (6), 1141-1155, 2012 | 197 | 2012 |
Improving flash-based disk cache with lazy adaptive replacement S Huang, Q Wei, D Feng, J Chen, C Chen ACM Transactions on Storage (TOS) 12 (2), 1-24, 2016 | 182 | 2016 |
Design tradeoffs for data deduplication performance in backup workloads M Fu, D Feng, Y Hua, X He, Z Chen, W Xia, Y Zhang, Y Tan 13th USENIX Conference on File and Storage Technologies (FAST 15), 331-344, 2015 | 165 | 2015 |
HPDA: A hybrid parity-based disk array for enhanced performance and reliability B Mao, H Jiang, S Wu, L Tian, D Feng, J Chen, L Zeng ACM Transactions on Storage (TOS) 8 (1), 1-20, 2012 | 150 | 2012 |
PRO: A Popularity-based Multi-threaded Reconstruction Optimization for RAID-Structured Storage Systems. L Tian, D Feng, H Jiang, K Zhou, L Zeng, J Chen, Z Wang, Z Song FAST 7, 301-314, 2007 | 150 | 2007 |
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 | 149 | 2014 |
Ranking community answers by modeling question-answer relationships via analogical reasoning XJ Wang, X Tu, D Feng, L Zhang Proceedings of the 32nd international ACM SIGIR conference on Research and …, 2009 | 146 | 2009 |
MAD2: A scalable high-throughput exact deduplication approach for network backup services J Wei, H Jiang, K Zhou, D Feng 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), 1-14, 2010 | 145 | 2010 |
P-Code: A new RAID-6 code with optimal properties C Jin, H Jiang, D Feng, L Tian Proceedings of the 23rd international conference on Supercomputing, 360-369, 2009 | 140 | 2009 |
DEBAR: A scalable high-performance de-duplication storage system for backup and archiving T Yang, H Jiang, D Feng, Z Niu, K Zhou, Y Wan 2010 IEEE International Symposium on Parallel & Distributed Processing …, 2010 | 128 | 2010 |
WorkOut: I/O Workload Outsourcing for Boosting RAID Reconstruction Performance. S Wu, H Jiang, D Feng, L Tian, B Mao FAST 9, 239-252, 2009 | 127 | 2009 |
SAM: A semantic-aware multi-tiered source de-duplication framework for cloud backup Y Tan, H Jiang, D Feng, L Tian, Z Yan, G Zhou 2010 39th International Conference on Parallel Processing, 614-623, 2010 | 119 | 2010 |
End-to-end united video dehazing and detection B Li, X Peng, Z Wang, J Xu, D Feng Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 116 | 2018 |