| Heterogeneity-aware distributed parameter servers J Jiang, B Cui, C Zhang, L Yu Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 232 | 2017 |
| VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning F Fu, Y Shao, L Yu, J Jiang, H Xue, Y Tao, B Cui Proceedings of the 2021 International Conference on Management of Data, 563-576, 2021 | 100 | 2021 |
| Angel: a new large-scale machine learning system J Jiang, L Yu, J Jiang, Y Liu, B Cui National Science Review 5 (2), 216-236, 2018 | 89 | 2018 |
| LDA* a robust and large-scale topic modeling system L Yut, C Zhang, Y Shao, B Cui Proceedings of the VLDB Endowment 10 (11), 1406-1417, 2017 | 43 | 2017 |
| Exploiting matrix dependency for efficient distributed matrix computation L Yu, Y Shao, B Cui Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 41 | 2015 |
| A multi-source integration framework for user occupation inference in social media systems Y Huang, L Yu, X Wang, B Cui World Wide Web 18, 1247-1267, 2015 | 40 | 2015 |
| Ps2: Parameter server on spark Z Zhang, B Cui, Y Shao, L Yu, J Jiang, X Miao Proceedings of the 2019 International Conference on Management of Data, 376-388, 2019 | 29 | 2019 |
| Mllib*: Fast training of glms using spark mllib Z Zhang, J Jiang, W Wu, C Zhang, L Yu, B Cui 2019 IEEE 35th International Conference on Data Engineering (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 | 25 | 2020 |
| C olumnSGD: 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 |
| GLM+: An efficient system for generalized linear models L Yu, L Wang, Y Shao, L Guo, B Cui 2018 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2018 | 8 | 2018 |
| Cuwide: Towards efficient flow-based training for sparse wide models on gpus X Miao, L Ma, Z Yang, Y Shao, B Cui, L Yu, J Jiang IEEE Transactions on Knowledge and Data Engineering 34 (9), 4119-4132, 2020 | 5 | 2020 |
| Gvos: a general system for near-duplicate video-related applications on storm J Jiang, Y Tong, H Lu, B Cui, K Lei, L Yu ACM Transactions on Information Systems (TOIS) 36 (1), 1-36, 2017 | 4 | 2017 |
| Sys-tm: A fast and general topic modeling system Y Shao, X Li, Y Chen, L Yu, B Cui IEEE Transactions on Knowledge and Data Engineering 33 (6), 2790-2802, 2019 | 3 | 2019 |
| A multiple feature integration model to infer occupation from social media records X Wang, L Yu, J Yao, B Cui Web Information Systems Engineering–WISE 2013: 14th International Conference …, 2013 | 2 | 2013 |
| CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs X Miao, L Ma, Z Yang, Y Shao, B Cui, L Yu, J Jiang 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2330-2331, 2021 | 1 | 2021 |
| Distributed machine learning method and system J Jiang, B Cui, M Huang, X Pin, B Hu, L Yu US Patent 11,263,539, 2022 | | 2022 |
| 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 |
