Follow
Jiawei Jiang
Title
Cited by
Cited by
Year
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
2102017
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
1132018
Towards demystifying serverless machine learning training
J Jiang, S Gan, Y Liu, F Wang, G Alonso, A Klimovic, A Singla, W Wu, ...
Proceedings of the 2021 International Conference on Management of Data, 857-871, 2021
942021
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
862018
Openbox: A generalized black-box optimization service
Y Li, Y Shen, W Zhang, Y Chen, H Jiang, M Liu, J Jiang, J Gao, W Wu, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
642021
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
622021
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
602020
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
522020
Snapshot boosting: a fast ensemble framework for deep neural networks
W Zhang, J Jiang, Y Shao, B Cui
Science China Information Sciences 63, 1-12, 2020
522020
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
442018
Heterogeneity-aware distributed machine learning training via partial reduce
X Miao, X Nie, Y Shao, Z Yang, J Jiang, L Ma, B Cui
Proceedings of the 2021 International Conference on Management of Data, 2262 …, 2021
382021
VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition
Y Li, Y Shen, W Zhang, J Jiang, B Ding, Y Li, J Zhou, Z Yang, W Wu, ...
arXiv preprint arXiv:2107.08861, 2021
372021
Efficient automatic CASH via rising bandits
Y Li, J Jiang, J Gao, Y Shao, C Zhang, B Cui
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4763-4771, 2020
362020
An experimental evaluation of large scale GBDT systems
F Fu, J Jiang, Y Shao, B Cui
arXiv preprint arXiv:1907.01882, 2019
322019
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
292019
Lasagne: A multi-layer graph convolutional network framework via node-aware deep architecture
X Miao, W Zhang, Y Shao, B Cui, L Chen, C Zhang, J Jiang
IEEE Transactions on Knowledge and Data Engineering, 2021
262021
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
242017
Mfes-hb: Efficient hyperband with multi-fidelity quality measurements
Y Li, Y Shen, J Jiang, J Gao, C Zhang, B Cui
Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8491-8500, 2021
232021
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
232019
Bagua: scaling up distributed learning with system relaxations
S Gan, X Lian, R Wang, J Chang, C Liu, H Shi, S Zhang, X Li, T Sun, ...
arXiv preprint arXiv:2107.01499, 2021
222021
The system can't perform the operation now. Try again later.
Articles 1–20