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 Xuan Lu

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Average citations per article6.80
Citation Count68
Publication count10
Publication years2014-2019
Available for download10
Average downloads per article490.80
Downloads (cumulative)4,908
Downloads (12 Months)1,572
Downloads (6 Weeks)209
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10 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
August 2019 ESEC/FSE 2019: Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 45,   Downloads (12 Months): 45,   Downloads (Overall): 45

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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 forums. However, commonly used out-of-the-box sentiment analysis tools cannot obtain reliable results on SE tasks and the misunderstanding of technical jargon is demonstrated to be the ...
Keywords: Emoji, Sentiment analysis, Software engineering

2 published by ACM
May 2019 WWW '19: The World Wide Web Conference
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 56,   Downloads (12 Months): 276,   Downloads (Overall): 276

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Sentiment classification typically relies on a large amount of labeled data. In practice, the availability of labels is highly imbalanced among different languages, e.g., more English texts are labeled than texts in any other languages, which creates a considerable inequality in the quality of related information services received by users ...
Keywords: Emoji, cross-lingual analysis, sentiment classification

3
April 2018 WWW '18: Proceedings of the 2018 World Wide Web Conference
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 7
Downloads (6 Weeks): 43,   Downloads (12 Months): 459,   Downloads (Overall): 698

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Based on a large data set of emoji using behavior collected from smartphone users over the world, this paper investigates gender-specific usage of emojis. We present various interesting findings that evidence a considerable difference in emoji usage by female and male users. Such a difference is significant not just in ...
Keywords: emojis, gender, language-independent, user profifiling

4 published by ACM
September 2017 Internetware'17: Proceedings of the 9th Asia-Pacific Symposium on Internetware
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 0,   Downloads (12 Months): 34,   Downloads (Overall): 66

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In the appstore-centric ecosystem, app developers have an urgent requirement to optimize their release strategy to maximize user adoption of their apps. To address this problem, we introduce an approach to assisting developers to select the proper release opportunity based on the purpose of the update and current condition of ...
Keywords: Mobile apps, app store, release strategy, update interval

5 published by ACM
September 2017 Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies: Volume 1 Issue 3, September 2017
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 7,   Downloads (12 Months): 59,   Downloads (Overall): 299

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To survive and stand out from the fierce market competition nowadays, it is critical for app developers to know (desirably ahead of time) whether, how well, and why their apps would be adopted by users. Ideally, the adoption of an app could be predicted by factors that can be controlled ...
Keywords: Mobile apps, usage data, user adoption

6 published by ACM
September 2016 UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Publisher: ACM
Bibliometrics:
Citation Count: 22
Downloads (6 Weeks): 31,   Downloads (12 Months): 419,   Downloads (Overall): 1,698

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Emojis have been widely used to simplify emotional expression and enrich user experience. As an interesting practice of ubiquitous computing, emojis are adopted by Internet users from many different countries, on many devices (particularly popular on smartphones), and in many applications. The "ubiquitous" usage of emojis enables us to study ...
Keywords: cultural difference, data mining, emoji

7 published by ACM
May 2016 MOBILESoft '16: Proceedings of the International Conference on Mobile Software Engineering and Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 24,   Downloads (Overall): 123

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Mining usage data from a large number of Android users can assist various software engineering tasks. In collaboration with Wandoujia, a leading Android app marketplace in China, we have conducted a large empirical analysis based on mining app usage behaviors collected from millions of Android users. Our empirical findings can ...
Keywords: mobile apps, user behavior analysis

8 published by ACM
May 2016 ICSE '16: Proceedings of the 38th International Conference on Software Engineering
Publisher: ACM
Bibliometrics:
Citation Count: 12
Downloads (6 Weeks): 7,   Downloads (12 Months): 50,   Downloads (Overall): 674

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Selecting and prioritizing major device models are critical for mobile app developers to select testbeds and optimize resources such as marketing and quality-assurance resources. The heavily fragmented distribution of Android devices makes it challenging to select a few major device models out of thousands of models available on the market. ...
Keywords: android fragmentation, prioritization, mobile apps, usage data

9 published by ACM
October 2015 IMC '15: Proceedings of the 2015 Internet Measurement Conference
Publisher: ACM
Bibliometrics:
Citation Count: 22
Downloads (6 Weeks): 17,   Downloads (12 Months): 197,   Downloads (Overall): 910

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he prevalence of smart devices has promoted the popular- ity of mobile applications (a.k.a. apps) in recent years. A number of interesting and important questions remain unan- swered, such as why a user likes/dislikes an app, how an app becomes popular or eventually perishes, how a user selects apps to ...
Keywords: android apps, app management, app per- formance, app popularity, app stores

10 published by ACM
November 2014 INTERNETWARE 2014: Proceedings of the 6th Asia-Pacific Symposium on Internetware on Internetware
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 9,   Downloads (Overall): 119

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Web application is a key app on mobile devices. However, the performance of mobile Web applications is known to be poor. Resource loading is a key factor influencing Web applications performance. Cache is an effective mechanism to accelerate resource loading by enabling to access resources directly from local storage. In ...
Keywords: Mobile Web Application, Measurement, Cache Usage



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