activity
20162021
most citedCodeBLEU: a Method for Automatic Evaluation of Code Synthesis

189 citations · 224 across the 9 of their papers we have counts for

collaborators

12 papers

cs.IR20211 cited

SceneRec: Scene-Based Graph Neural Networks for Recommender Systems

Gang Wang, Ziyi Guo, Xiang Li +2

Collaborative filtering has been largely used to advance modern recommender systems to predict user preference. A key component in collaborative filtering is representation learnin…

cs.SE2020189 cited

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Shuo Ren, Daya Guo, Shuai Lu +7

Evaluation metrics play a vital role in the growth of an area as it defines the standard of distinguishing between good and bad models. In the area of code synthesis, the commonly…

cs.CL2019

Explicit Cross-lingual Pre-training for Unsupervised Machine Translation

Shuo Ren, Yu Wu, Shujie Liu +2

Pre-training has proven to be effective in unsupervised machine translation due to its ability to model deep context information in cross-lingual scenarios. However, the cross-ling…

cs.CY20192 cited

The Mass, Fake News, and Cognition Security

Bin Guo, Yasan Ding, Yueheng Sun +2

The wide spread of fake news in social networks is posing threats to social stability, economic development and political democracy etc. Numerous studies have explored the effectiv…

cs.CL201918 cited

Unsupervised Neural Machine Translation with SMT as Posterior Regularization

Shuo Ren, Zhirui Zhang, Shujie Liu +2

Without real bilingual corpus available, unsupervised Neural Machine Translation (NMT) typically requires pseudo parallel data generated with the back-translation method for the mo…

cs.DB20193 cited

Approximate Computation for Big Data Analytics

Shuai Ma, Jinpeng Huai

Over the past a few years, research and development has made significant progresses on big data analytics. A fundamental issue for big data analytics is the efficiency. If the opti…