activity
20182021
most citedSEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering

49 citations · 80 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2021★ 5 cited

An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications

Zhenpeng Chen, Huihan Yao, Yiling Lou +4

Deep Learning (DL) is finding its way into a growing number of mobile software applications. These software applications, named as DL based mobile applications (abbreviated as mobi…

cs.LG2021★ 12 cited

Emojis predict dropouts of remote workers: An empirical study of emoji usage on GitHub

Xuan Lu, Wei Ai, Zhenpeng Chen +2

Emotions at work have long been identified as critical signals of work motivations, status, and attitudes, and as predictors of various work-related outcomes. When more and more em…

cs.SE2020★ 6 cited

A Comprehensive Study on Challenges in Deploying Deep Learning Based Software

Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu +3

Deep learning (DL) becomes increasingly pervasive, being used in a wide range of software applications. These software applications, named as DL based software (in short as DL soft…

cs.SE2019★ 49 cited

SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering

Zhenpeng Chen, Yanbin Cao, Xuan Lu +2

Sentiment analysis has various application scenarios in software engineering (SE), such as detecting developers' emotions in commit messages and identifying their opinions on Q&A f…

cs.CY2018★ 8 cited

A First Look at Emoji Usage on GitHub: An Empirical Study

Xuan Lu, Yanbin Cao, Zhenpeng Chen +1

Emoji is becoming a ubiquitous language and gaining worldwide popularity in recent years including the field of software engineering (SE). As nonverbal cues, emojis are widely used…