Cosine normalization: Using cosine similarity instead of dot product in neural networks C Luo, J Zhan, X Xue, L Wang, R Ren, Q Yang Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 242 | 2018 |
Logmaster: Mining event correlations in logs of large-scale cluster systems X Fu, R Ren, J Zhan, W Zhou, Z Jia, G Lu 2012 IEEE 31st Symposium on Reliable Distributed Systems, 71-80, 2012 | 115 | 2012 |
Digging deeper into cluster system logs for failure prediction and root cause diagnosis X Fu, R Ren, SA McKee, J Zhan, N Sun IEEE International Conference on Cluster Computing (CLUSTER), 2014 | 56 | 2014 |
Data motifs: A lens towards fully understanding big data and ai workloads W Gao, J Zhan, L Wang, C Luo, D Zheng, F Tang, B Xie, C Zheng, X Wen, ... Proceedings of the 27th International Conference on Parallel Architectures …, 2018 | 41 | 2018 |
Bigdatabench: A scalable and unified big data and ai benchmark suite W Gao, J Zhan, L Wang, C Luo, D Zheng, X Wen, R Ren, C Zheng, X He, ... arXiv preprint arXiv:1802.08254, 2018 | 34 | 2018 |
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 | 27 | 2021 |
Deep convolutional neural networks for log event classification on distributed cluster systems R Ren, J Cheng, Y Yin, J Zhan, L Wang, J Li, C Luo 2018 IEEE International Conference on Big Data (Big Data), 1639-1646, 2018 | 25 | 2018 |
Logmaster: Mining event correlations in logs of large scale cluster systems R Ren, X Fu, J Zhan, W Zhou arXiv preprint arXiv:1003.0951, 2010 | 20 | 2010 |
BigDataBench: a dwarf-based big data and AI benchmark suite W Gao, J Zhan, L Wang, C Luo, D Zheng, R Ren, C Zheng, G Lu, J Li, ... arXiv preprint arXiv:1802.08254, 2018 | 17 | 2018 |
Data motif-based proxy benchmarks for big data and AI workloads W Gao, J Zhan, L Wang, C Luo, Z Jia, D Zheng, C Zheng, X He, H Ye, ... 2018 IEEE International Symposium on Workload Characterization (IISWC), 48-58, 2018 | 15 | 2018 |
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 | 13 | 2017 |
An electricity consumption model for synthesizing scalable electricity load curves Y Huang, J Zhan, C Luo, L Wang, N Wang, D Zheng, F Fan, R Ren Energy 169, 674-683, 2019 | 10 | 2019 |
Anomaly analysis for co-located datacenter workloads in the alibaba cluster R Ren, J Li, L Wang, J Zhan, Z Cao arXiv preprint arXiv:1811.06901, 2018 | 10 | 2018 |
Daphne: a flexible and hybrid scheduling framework in multi-tenant clusters Y Xia, R Ren, H Cai, AV Vasilakos, Z Lv IEEE Transactions on Network and Service Management 15 (1), 330-343, 2017 | 10 | 2017 |
Computer system, and method for processing multiple application programs BAO Yungang, MA Jiuyue, SUI Xiufeng, REN Rui, L Zhang US Patent 10,572,309, 2020 | 9 | 2020 |
Characterization and architectural implications of big data workloads L Wang, R Ren, J Zhan, Z Jia IEEE International Symposium on Performance Analysis of Systems and Software …, 2016 | 9 | 2016 |
Landscape of big medical data: a pragmatic survey on prioritized tasks Z Zhang, W Gao, F Zhang, Y Huang, S Dai, F Fan, J Zhan, M Du, S Yin, ... IEEE Access 7, 15590-15611, 2019 | 8 | 2019 |
Service dependency based dynamic load balancing algorithm for container clusters J Zhang, R Ren, C Huang, X Fei, W Qun, H Cai 2018 IEEE 15th International Conference on e-Business Engineering (ICEBE), 70-77, 2018 | 8 | 2018 |
Online anomaly detection framework for spark systems via stage-task behavior modeling R Ren, S Tian, L Wang Proceedings of the 15th ACM International Conference on Computing Frontiers …, 2018 | 8 | 2018 |
GAI: A centralized tree-based scheduler for machine learning workload in large shared clusters C Gao, R Ren, H Cai Algorithms and Architectures for Parallel Processing: 18th International …, 2018 | 7 | 2018 |