PS2: Parameter Server on Spark Z Zhang, B Cui, Y Shao, L Yu, J Jiang, X Miao SIGMOD, 2019 | 31 | 2019 |
MLlib*: Fast Training of GLMs using Spark MLlib Z Zhang, J Jiang, W Wu, C Zhang, L Yu, B Cui ICDE, 1778-1789, 2019 | 28 | 2019 |
Psgraph: How tencent trains extremely large-scale graphs with spark? J Jiang, P Xiao, L Yu, X Li, J Cheng, X Miao, Z Zhang, B Cui 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1549-1557, 2020 | 27 | 2020 |
An experimental evaluation of SimRank-based similarity search algorithms Z Zhang, Y Shao, B Cui, C Zhang Proceedings of the VLDB Endowment 10 (5), 601-612, 2017 | 24 | 2017 |
Category-aware graph neural networks for improving e-commerce review helpfulness prediction X Qu, Z Li, J Wang, Z Zhang, P Zou, J Jiang, J Huang, R Xiao, J Zhang, ... Proceedings of the 29th ACM International Conference on Information …, 2020 | 22 | 2020 |
Model averaging in distributed machine learning: a case study with Apache Spark Y Guo, Z Zhang, J Jiang, W Wu, C Zhang, B Cui, J Li The VLDB Journal 30, 693-712, 2021 | 17 | 2021 |
StroMAX: Partitioning-based scheduler for real-time stream processing system J Jiang, Z Zhang, B Cui, Y Tong, N Xu Database Systems for Advanced Applications: 22nd International Conference …, 2017 | 13 | 2017 |
ColumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent Z Zhang, W Wu, J Jiang, L Yu, B Cui, C Zhang 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1513-1524, 2020 | 8 | 2020 |
Angel+: A Large-Scale Machine Learning Platform on Angel Z Zhang, J Jiang, L Yu, B Cui Frontiers of Data and Domputing 1 (1), 63-72, 2019 | | 2019 |
Resume Activeness Prediction in Online Recruitment Scenarios S Shi, Z Zhang, B Cui NDBC, 2017 | | 2017 |