Jiawei Jiang
Jiawei Jiang
ETH Zurich, Peking University, Tencent Inc.
Verified email at inf.ethz.ch - Homepage
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
992017
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
482018
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
342018
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
172018
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
152017
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
82019
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
82019
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
82013
An experimental evaluation of large scale GBDT systems
F Fu, J Jiang, Y Shao, B Cui
arXiv preprint arXiv:1907.01882, 2019
72019
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
62017
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
52020
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
52019
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
32020
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
32017
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
32017
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
22020
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
12020
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
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