Παρακολούθηση
Jiawei Jiang
Jiawei Jiang
Wuhan University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα whu.edu.cn - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
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
2372017
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
1492021
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
1352018
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
1022021
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
962018
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
912020
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
812021
Snapshot boosting: a fast ensemble framework for deep neural networks
W Zhang, J Jiang, Y Shao, B Cui
Science China Information Sciences 63 (1), 112102, 2020
812020
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
792020
Self-supervised trajectory representation learning with temporal regularities and travel semantics
J Jiang, D Pan, H Ren, X Jiang, C Li, J Wang
2023 IEEE 39th international conference on data engineering (ICDE), 843-855, 2023
752023
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
612021
VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition
Y Li, Y Shen, W Zhang, C Zhang, B Cui
The VLDB Journal 32 (2), 389-413, 2023
532023
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
522018
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
502020
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 35 (2), 1721-1733, 2021
382021
An experimental evaluation of large scale GBDT systems
F Fu, J Jiang, Y Shao, B Cui
arXiv preprint arXiv:1907.01882, 2019
362019
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
322021
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
322017
Vf-ps: How to select important participants in vertical federated learning, efficiently and securely?
J Jiang, L Burkhalter, F Fu, B Ding, B Du, A Hithnawi, B Li, C Zhang
Advances in Neural Information Processing Systems 35, 2088-2101, 2022
312022
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
302019
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