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
842017
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
412018
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
302018
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
142018
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
142017
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
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
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
72019
An experimental evaluation of large scale gbdt systems
F Fu, J Jiang, Y Shao, B Cui
Proceedings of the VLDB Endowment 12 (11), 1357-1370, 2019
62019
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
52017
Servers
J Jiang, B Cui, C Zhang, LYHAD Parameter
2017 ACM International Conference on Management of Data (SIGMOD) 10 (3035918 …, 2017
52017
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
42019
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
42017
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
32020
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
SKCompress: compressing sparse and nonuniform gradient in distributed machine learning
J Jiang, F Fu, T Yang, Y Shao, B Cui
The VLDB Journal, 1-28, 2020
12020
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
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
PSGraph: How Tencent trains extremely large-scale graphs with Spark?
J Jiang, P Xiao, L Yu, X Li, J Cheng, X Miao, Z Zhang, B Cui
2020 IEEE 36th International Conference on Data Engineering (ICDE), 1549-1557, 2020
2020
C olumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent
Z Zhang, W Wu, J Jiang, L Yu, B Cui, C Zhang
2020 IEEE 36th International Conference on Data Engineering (ICDE), 1513-1524, 2020
2020
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