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Jiawei Jiang
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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
2032017
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
1072018
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
842018
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
832021
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
572021
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
572020
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
562021
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
512020
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
472020
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
352021
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
352020
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
332021
An experimental evaluation of large scale GBDT systems
F Fu, J Jiang, Y Shao, B Cui
arXiv preprint arXiv:1907.01882, 2019
302019
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
282019
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
242021
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
232017
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
222019
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
222019
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
192021
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