| 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 | 99 | 2017 |
| 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 | 48 | 2018 |
| Sketchml: Accelerating distributed machine learning with data sketches J Jiang, F Fu, T Yang, B Cui Proceedings of the 2018 International Conference on Management of Data, 1269 …, 2018 | 34 | 2018 |
| Dimboost: Boosting gradient boosting decision tree to higher dimensions J Jiang, B Cui, C Zhang, F Fu Proceedings of the 2018 International Conference on Management of Data, 1363 …, 2018 | 17 | 2018 |
| Tencentboost: A gradient boosting tree system with parameter server J Jiang, J Jiang, B Cui, C Zhang 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 281-284, 2017 | 15 | 2017 |
| 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 | 8 | 2019 |
| Sparse gradient compression for distributed SGD H Sun, Y Shao, J Jiang, B Cui, K Lei, Y Xu, J Wang International Conference on Database Systems for Advanced Applications, 139-155, 2019 | 8 | 2019 |
| A predictive dynamic load balancing algorithm with service differentiation J Jiang, H Deng, X Liu 2013 15th IEEE International Conference on Communication Technology, 372-377, 2013 | 8 | 2013 |
| An experimental evaluation of large scale GBDT systems F Fu, J Jiang, Y Shao, B Cui arXiv preprint arXiv:1907.01882, 2019 | 7 | 2019 |
| StroMAX: Partitioning-based scheduler for real-time stream processing system J Jiang, Z Zhang, B Cui, Y Tong, N Xu International Conference on Database Systems for Advanced Applications, 269-288, 2017 | 6 | 2017 |
| Snapshot boosting: a fast ensemble framework for deep neural networks W Zhang, J Jiang, Y Shao, B Cui Science China Information Sciences 63 (1), 1-12, 2020 | 5 | 2020 |
| 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 | 5 | 2019 |
| SKCompress: compressing sparse and nonuniform gradient in distributed machine learning J Jiang, F Fu, T Yang, Y Shao, B Cui The VLDB Journal 29 (5), 945-972, 2020 | 3 | 2020 |
| Teslaml: steering machine learning automatically in tencent J Jiang, M Huang, J Jiang, B Cui Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2017 | 3 | 2017 |
| 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 | 3 | 2017 |
| Don’t waste your bits! squeeze activations and gradients for deep neural networks via TINYSCRIPT F Fu, Y Hu, Y He, J Jiang, Y Shao, C Zhang, B Cui International Conference on Machine Learning, 3304-3314, 2020 | 2 | 2020 |
| Reliable Data Distillation on Graph Convolutional Network W Zhang, X Miao, Y Shao, J Jiang, L Chen, O Ruas, B Cui Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 1 | 2020 |
| MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements Y Li, Y Shen, J Jiang, J Gao, C Zhang, B Cui arXiv preprint arXiv:2012.03011, 2020 | | 2020 |
| 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, 2020 | | 2020 |
| Efficient Diversity-Driven Ensemble for Deep Neural Networks W Zhang, J Jiang, Y Shao, B Cui 2020 IEEE 36th International Conference on Data Engineering (ICDE), 73-84, 2020 | | 2020 |
bin cuiProfessor of Computer Science, Peking UniversityVerified email at pku.edu.cn
