activity
20142021
most citedCodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

416 citations · 2.2k across the 58 of their papers we have counts for

collaborators

59 papers

cs.CV2021★ 1 cited

Combining Attention with Flow for Person Image Synthesis

Yurui Ren, Yubo Wu, Thomas H. Li +2

Pose-guided person image synthesis aims to synthesize person images by transforming reference images into target poses. In this paper, we observe that the commonly used spatial tra…

cs.CV2021★ 1 cited

Low Pass Filter for Anti-aliasing in Temporal Action Localization

Cece Jin, Yuanqi Chen, Ge Li +2

In temporal action localization methods, temporal downsampling operations are widely used to extract proposal features, but they often lead to the aliasing problem, due to lacking…

cs.SE2021

Modular Tree Network for Source Code Representation Learning

Wenhan Wang, Ge Li, Sijie Shen +2

Learning representation for source code is a foundation of many program analysis tasks. In recent years, neural networks have already shown success in this area, but most existing…

cs.SE2021★ 416 cited

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Shuai Lu, Daya Guo, Shuo Ren +19

Benchmark datasets have a significant impact on accelerating research in programming language tasks. In this paper, we introduce CodeXGLUE, a benchmark dataset to foster machine le…

cs.SE2020★ 8 cited

Multi-task Learning based Pre-trained Language Model for Code Completion

Fang Liu, Ge Li, Yunfei Zhao +1

Code completion is one of the most useful features in the Integrated Development Environments (IDEs), which can accelerate software development by suggesting the next probable toke…

cs.CV2020★ 13 cited

SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains

Yuanqi Chen, Ge Li, Cece Jin +2

This paper observes that there is an issue of high frequencies missing in the discriminator of standard GAN, and we reveal it stems from downsampling layers employed in the network…