24 citations · 37 across the 6 of their papers we have counts for
6 papers
An Efficient Virtual Data Generation Method for Reducing Communication in Federated Learning
Cheng Yang, Xue Yang, Dongxian Wu +1
Communication overhead is one of the major challenges in Federated Learning(FL). A few classical schemes assume the server can extract the auxiliary information about training data…
Progressively Stacking 2.0: A Multi-stage Layerwise Training Method for BERT Training Speedup
Cheng Yang, Shengnan Wang, Chao Yang +3
Pre-trained language models, such as BERT, have achieved significant accuracy gain in many natural language processing tasks. Despite its effectiveness, the huge number of paramete…
CoRe: An Efficient Coarse-refined Training Framework for BERT
Cheng Yang, Shengnan Wang, Yuechuan Li +4
In recent years, BERT has made significant breakthroughs on many natural language processing tasks and attracted great attentions. Despite its accuracy gains, the BERT model genera…
A Unified Framework for Marketing Budget Allocation
Kui Zhao, Junhao Hua, Ling Yan +3
While marketing budget allocation has been studied for decades in traditional business, nowadays online business brings much more challenges due to the dynamic environment and comp…
Learning and Transferring IDs Representation in E-commerce
Kui Zhao, Yuechuan Li, Zhaoqian Shuai +1
Many machine intelligence techniques are developed in E-commerce and one of the most essential components is the representation of IDs, including user ID, item ID, product ID, stor…
Real-time Topic-aware Influence Maximization Using Preprocessing
Wei Chen, Tian Lin, Cheng Yang
Influence maximization is the task of finding a set of seed nodes in a social network such that the influence spread of these seed nodes based on certain influence diffusion model…