| Parallel processing systems for big data: a survey Y Zhang, T Cao, S Li, X Tian, L Yuan, H Jia, AV Vasilakos Proceedings of the IEEE 104 (11), 2114-2136, 2016 | 116 | 2016 |
| Latency critical big data computing in finance X Tian, R Han, L Wang, G Lu, J Zhan The Journal of Finance and Data Science 1 (1), 33-41, 2015 | 97 | 2015 |
| AIBench: an industry standard internet service AI benchmark suite W Gao, F Tang, L Wang, J Zhan, C Lan, C Luo, Y Huang, C Zheng, J Dai, ... arXiv preprint arXiv:1908.08998, 2019 | 40 | 2019 |
| AIBench training: Balanced industry-standard AI training benchmarking F Tang, W Gao, J Zhan, C Lan, X Wen, L Wang, C Luo, Z Cao, X Xiong, ... 2021 IEEE International Symposium on Performance Analysis of Systems and …, 2021 | 28 | 2021 |
| Benchmarking big data systems: State-of-the-art and future directions R Han, Z Jia, W Gao, X Tian, L Wang arXiv preprint arXiv:1506.01494, 2015 | 26 | 2015 |
| BigDataBench: an open-source big data benchmark suite JF Zhan, WL Gao, L Wang, JW Li, K Wei, CJ Luo, R Han, XH Tian, ... Jisuanji Xuebao/Chinese Journal of Computers 39 (1), 196-211, 2016 | 19 | 2016 |
| BigDataBench-S: an open-source scientific big data benchmark suite X Tian, S Dai, Z Du, W Gao, R Ren, Y Cheng, Z Zhang, Z Jia, P Wang, ... 2017 IEEE International Parallel and Distributed Processing Symposium …, 2017 | 14 | 2017 |
| SecMon: a secure introspection framework for hardware virtualization X Wu, Y Gao, X Tian, Y Song, B Guo, B Feng, Y Sun 2013 21st Euromicro International Conference on Parallel, Distributed, and …, 2013 | 7 | 2013 |
| Cymbalo: An efficient graph processing framework for machine learning X Tian, B Xie, J Zhan 2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2018 | 6 | 2018 |
| TrustVP: construction and evolution of trusted chain on virtualization computing platform X Dongliang, W Xiaolong, G Yunwei, S Ying, T Xinhui, L Zhaopeng 2012 Eighth International Conference on Computational Intelligence and …, 2012 | 6 | 2012 |
| Identifying dwarfs workloads in big data analytics W Gao, C Luo, J Zhan, H Ye, X He, L Wang, Y Zhu, X Tian arXiv preprint arXiv:1505.06872, 2015 | 5 | 2015 |
| Aibench: An industry standard ai benchmark suite from internet services F Tang, W Gao, J Zhan, C Lan, X Wen, L Wang, C Luo, J Dai, Z Cao, ... arXiv preprint arXiv:2004.14690, 2020 | 4 | 2020 |
| Towards memory and computation efficient graph processing on spark X Tian, Y Guo, J Zhan, L Wang 2017 IEEE International Conference on Big Data (Big Data), 375-382, 2017 | 4 | 2017 |
| Graphduo: A dual-model graph processing framework X Tian, J Zhan IEEE Access 6, 35057-35071, 2018 | 3 | 2018 |
| Spark-based parallel calculation of 3D fourier shell correlation for macromolecule structure local resolution estimation Y Lü, X Zeng, X Tian, X Shi, H Wang, X Zheng, X Liu, X Zhao, X Gao, ... BMC bioinformatics 21, 1-18, 2020 | 2 | 2020 |
| AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite W Gao, F Tang, J Zhan, C Lan, C Luo, L Wang, J Dai, Z Cao, X Xiong, ... arXiv preprint arXiv:2002.07162, 2020 | 1 | 2020 |
| Evolution from Shark to Spark SQL: preliminary analysis and qualitative evaluation X Tian, G Lu, X Zhou, J Li Big Data Benchmarks, Performance Optimization, and Emerging Hardware: 6th …, 2016 | 1 | 2016 |
| Evolution From Shark To Spark SQL X Tian, X Zhou | | 2015 |
Jianfeng Zhan (詹剑锋）University of Chinese Academy of Sciences & BenchCouncilVerified email at ict.ac.cn
