20 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 1 cited
A Distributed Training Algorithm of Generative Adversarial Networks with Quantized Gradients
Xiaojun Chen, Shu Yang, Li Shen +1
Training generative adversarial networks (GAN) in a distributed fashion is a promising technology since it is contributed to training GAN on a massive of data efficiently in real-w…
cs.CL2019
Improving Abstractive Text Summarization with History Aggregation
Pengcheng Liao, Chuang Zhang, Xiaojun Chen +1
Recent neural sequence to sequence models have provided feasible solutions for abstractive summarization. However, such models are still hard to tackle long text dependency in the…
cs.DB2019★ 20 cited
Exploring Communities in Large Profiled Graphs
Yankai Chen, Yixiang Fang, Reynold Cheng +3
Given a graph and a vertex , the community search (CS) problem aims to efficiently find a subgraph of whose vertices are closely related to . Communities are pre…