Wu Y, Shi Z, Huang S, Tian Z, Zuo P, Fang P, Feng D. “SOWalker: An I/O-Optimized Out-of-Core Graph Processing System for Second-Order Random Walks”, USENIX Annual Technical Conference (USENIX ATC 23), 2023Boston, MA: : 87–100.

Zhou Y, Wang F, Shi Z, Feng D, Du Y. “Fair Will Go On: A Collaboration-Aware Fairness Scheme for NVMe SSD in Cloud Storage System”, The 60th ACM/IEEE Design Automation Conference (DAC), 2023: 1–6.

Fang P, Wang F, Shi Z, Jiang H, Feng D, Xu X, Yin W. “How to Realize Efficient and Scalable Graph Embeddings via an Entropy-Driven Mechanism”, IEEE Transactions on Big Data, 2023, 9(1): 358–371.

Ma J, Shi Z, Liu S, Zhang W, Wu Y, Wang F, Feng D. “LSM-Subgraph: Log-Structured Merge-Subgraph for Temporal Graph Processing”, Web and Big Data, 2023, 477–494.

Zhou Y, Wang F, Shi Z, Feng D. “A Multi-Factor Adaptive Multi-Level Cooperative Replacement Policy in Block Storage Systems”, IEEE 40th International Conference on Computer Design (ICCD), 2022: 67–75.

Zhou Y, Wang F, Shi Z, Feng D. “An End-to-End Automatic Cache Replacement Policy Using Deep Reinforcement Learning”, Proceedings of the 32th International Conference on Automated Planning and Scheduling (ICAPS), 2022, 32(1): 537–545.

Li Y, Zeng L, Chen G, Gu C, Luo F, Ding W, Shi Z, Fuentes J. “A Multi-hashing Index for hybrid DRAM-NVM memory systems”, Journal of Systems Architecture, 2022, 128: 102547.

Fang P, Wang F, Shi Z, Feng D, Yi Q, Xu X, Zhang Y. “An efficient memory data organization strategy for application-characteristic graph processing”, Frontiers of Computer Science, 2021, 16(1): 2095-2236.

Yin Y, Feng D, Shi Z, Ouyang L. “Text recommendation based on time series and multi-label information”, Computer Science and Information Systems, 2021, 18(2): 419–439.

Fang P, Wang F, Shi Z, Jiang H, Feng D, Yang L. “HuGE: An Entropy-driven Approach to Efficient and Scalable Graph Embeddings”, IEEE 37th International Conference on Data Engineering (ICDE) 2021, 2045–2050.

Chen S, Shi Z, Feng D, Liu S, Wang F, Yang L, Yu R. “CSMqGraph: Coarse-Grained and Multi-external-storage Multi-queue I/O Management for Graph Computing”, International Journal of Parallel Programming, 2020, 48(1): 98–118.

Su Y, Feng D, Hua Y, Shi Z, Zhu T. “An In-Network Replica Selection Framework for Latency-Critical Distributed Data Stores”, IEEE Transactions on Cloud Computing, 2020: 944-956.

Yang L, Shi Z, Feng D, Yang W, Fang J, Chen S, Wang F. “MLND: A Weight-Adapting Method for Multi-label Classification Based on Neighbor Label Distribution”, APWeb-WAIM 2020, 639–654.

Y. Zhang, Z. Shi, D. Feng, and X.-X. Zhan, “Degree-biased random walk for large-scale network embedding”, Future Generation Computer Systems, vol. 100, pp. 198–209, Nov. 2019, doi: 10.1016/j.future.2019.05.033.

Y. Su, D. Feng, Y. Hua, and Z. Shi, “Understanding the latency distribution of cloud object storage systems”, Journal of Parallel and Distributed Computing, vol. 128, 2019, doi: 10.1016/j.jpdc.2019.01.008.

S. Chen, Z. Shi, D. Feng, S. Liu, F. Wang, L. Yang, R. Yu, “CSMqGraph: Coarse-Grained and Multi-external-storage Multi-queue I/O Management for Graph Computing”, International Journal of Parallel Programming, 2019, doi: 10.1007/s10766-019-00651-0.

S. Liu, Z. Shi, D. Feng, S. Chen, F. Wang, and Y. Peng, “GraphScSh: Efficient I/O Scheduling and Graph Sharing for Concurrent Graph Processing”, in Network and Parallel Computing, 2019, pp. 3–15.

Y. Shan, Z. Shi, D. Feng, O. Mengyun, and F. Wang, “Cache-Friendly Data Layout for Massive Graph”, in 2018 IEEE International Conference on Networking, Architecture and Storage (NAS), Chongqing, China, Oct. 2018, pp. 1–4, doi: 10.1109/NAS.2018.8515737.

Y. Su, D. Feng, Y. Hua, Z. Shi, and T. Zhu, “NetRS: Cutting Response Latency in Distributed Key-Value Stores with In-Network Replica Selection”, in 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), Vienna, Austria, Jul. 2018, vol. 00, pp. 143–153, doi: 10.1109/ICDCS.2018.00024.

Y. Yin, D. Feng, Y. Li, S. Yin, and Z. Shi, “Text prediction method based on multi-label attributes and improved maximum entropy model”, Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 1097–1109, Feb. 2018, doi: 10.3233/JIFS-169403.

Y. Su, D. Feng, Y. Hua, and Z. Shi, “Predicting Response Latency Percentiles for Cloud Object Storage Systems”, in 2017 46th International Conference on Parallel Processing (ICPP), Aug. 2017, pp. 241–250, doi: 10.1109/ICPP.2017.33.

Z. Shi, J. Li, P. Guo, S. Li, D. Feng, and Y. Su, “Partitioning dynamic graph asynchronously with distributed FENNEL”, Future Generation Computer Systems, vol. 71, pp. 32–42, Jun. 2017, doi: 10.1016/j.future.2017.01.014.

Q. Liu, D. Feng, Y. Hu, Z. Shi, and M. Fu, “High-Performance General Functional Regenerating Codes with Near-Optimal Repair Bandwidth”, ACM Transactions on Storage (TOS), vol. 13, no. 2, p. 15:1–15:28, Jun. 2017, doi: 10.1145/3051122.

N. Li, H. Jiang, D. Feng, and Z. Shi, “Storage Sharing Optimization under Constraints of SLO Compliance and Performance Variability”, IEEE Transactions on Services Computing, vol. PP, no. 99, pp. 1–1, 2017, doi: 10.1109/TSC.2016.2584057.

N. Li, H. Jiang, D. Feng, and Z. Shi, “Customizable SLO and Its Near-Precise Enforcement for Storage Bandwidth”, ACM Transactions on Storage (TOS), vol. 13, no. 1, p. 6:1–6:25, 2017, doi: 10.1145/2998454.

N. Li, H. Jiang, D. Feng, and Z. Shi, “PSLO: enforcing the Xth percentile latency and throughput SLOs for consolidated VM storage”, in Proceedings of the Eleventh European Conference on Computer Systems, London, United Kingdom, Apr. 2016, pp. 1–14, doi: 10.1145/2901318.2901330.

N. Li, H. Jiang, D. Feng, and Z. Shi, “SASLO: Support User-Customized SLO Policy via Programmable End-to-End VM-Oriented IO Control”, in 2015 International Conference on Cloud Computing and Big Data (CCBD), Nov. 2015, pp. 3–10, doi: 10.1109/CCBD.2015.17.

Q. Liu, D. Feng, Z. Shi, and M. Fu, “General Functional Regenerating Codes with Uncoded Repair for Distributed Storage System”, in Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on, May 2015, pp. 372–381, doi: 10.1109/CCGrid.2015.38.

Y. Li, D. Feng, and Z. Shi, “Heterogeneous-aware cache partitioning: Improving the fairness of shared storage cache.”, Parallel Computing, vol. 40, no. 10, pp. 710–721, 2014, doi: 10.1016/j.parco.2014.07.006.

Y. Li, D. Feng, L. Zeng, and Z. Shi, “Fema: A Fairness and Efficiency Caching Management Algorithm in Shared Cache”, in Networking, Architecture, and Storage (NAS), 2014 9th IEEE International Conference on, 2014, pp. 43–52, doi: 10.1109/NAS.2014.14.

Y. Li, D. Feng, and Z. Shi, “Enhancing both fairness and performance using rate-aware dynamic storage cache partitioning”, in Proceeding DISCS-2013 Proceedings of the 2013 International Workshop on Data-Intensive Scalable Computing Systems, Denver, Colorado, Nov. 2013, pp. 31–36, doi: 10.1145/2534645.2534650.

Y. Li, D. Feng, Z. Shi, and Q. Liu, “Adaptive Sequential Prefetching for Multiple Streams”, in Lecture Notes in Computer Science, Y. Gao, K. Shim, Z. Ding, P. Jin, Z. Ren, Y. Xiao, A. Liu, and S. Qiao, Eds. Springer Berlin Heidelberg, 2013, pp. 46–55.

Y. Li, D. Feng, Z. Shi, and Z. Zhang, “Disk array performance prediction with CART-MARS hybrid models”, in APMRC, 2012 Digest, Oct. 2012, pp. 1–4, Accessed: May 11, 2013. [Online].

L. Zeng, Z. Shi, S. Xu, and D. Feng, “SafeVanish: An improved data self-destruction for protecting data privacy”, in 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010, November 30, 2010 - December 3, 2010, Dec. 2010, pp. 521–528, doi: 10.1109/CloudCom.2010.21.

Z. Shi, D. Feng, H. Zhao, and L. Zeng, “USP: A lightweight file system management framework”, in 5th IEEE International Conference on Networking, Architecture and Storage, NAS 2010, Macau, China, Jul. 2010, pp. 250–256, doi: 10.1109/NAS.2010.47.

Z. Deng, D. Feng, K. Zhou, Z. Shi, and C. Luo, “Range Query Using Learning-Aware RPS in DHT-Based Peer-to-Peer Networks”, in CCGRID: 2009 9TH IEEE INTERNATIONAL SYMPOSIUM ON CLUSTER COMPUTING AND THE GRID, NEW YORK: IEEE, 2009, pp. 180–187.

L. X. Chen, D. Feng, Z. Shi, and F. Zhou, “Using Session Identifiers as Authentication Tokens”, in 2009 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-8, NEW YORK: IEEE, 2009, pp. 662–666.

Z. Deng, D. Feng, Z. Shi, and L. Chao, “Scalability support for SMI-S with chord”, in 10th IEEE International Conference on High Performance Computing and Communications, HPCC 2008, September 25, 2008 - September 27, 2008, 2008, pp. 219–225, Accessed: Nov. 07, 2014.

L. Zeng, D. Feng, F. Wang, L. Tian, and Z. Shi, “Application-oriented storage: Geographic information systems as an example”, Journal of Information and Computational Science, vol. 4, no. 2, pp. 859–870, 2007.

D. Feng, J. Ye, and Z. Shi, “A protocol vSCSI for ethernet-based network storage”, in 21st International Conference on Advanced Networking and Applications, Proceedings, LOS ALAMITOS: IEEE COMPUTER SOC, 2007, pp. 258–265.

J. Xiao, D. Feng, Z. Shi, and M. F. Cheng, “Flexible metadata management for block-level storage system”, in SNPD 2006: Seventh ACIS International Conference on Software Engineering Artificial Intelligence, Networking, and Parallel/Distributed Computing, Proceedings, LOS ALAMITOS: IEEE COMPUTER SOC, 2006, pp. 127–132.

L. Zeng, D. Feng, F. Wang, L. Tian, and Z. Shi, “Storage active service: Model, method and practice”, in 2006 Japan-China Joint Workshop on Frontier of Computer Science and Technology, FCST 2006, November 17, 2006 - November 18, 2006, 2006, pp. 46–53.

J. X. Chen, D. Feng, and Z. Shi, “iVISA: A framework for flexible layout block-level storage system”, in 20th International Conference on Advanced Information Networking and Applications, Vol 2, Proceedings, LOS ALAMITOS: IEEE COMPUTER SOC, 2006, pp. 881–885.

Z. Shi, J. Zhang, and X. Zhou, “Using DMA Aligned Buffer to Improve Software RAID Performance”, in Computational Science - ICCS 2004, M. Bubak, G. van Albada, P. Sloot, and J. Dongarra, Eds. Springer Berlin / Heidelberg, 2004, p. 355.