Xuanzhe Liu
Xuanzhe Liu

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liuxuanzheatpku.edu.cn

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Bibliometrics: publication history
Average citations per article3.48
Citation Count285
Publication count82
Publication years2006-2019
Available for download41
Average downloads per article382.51
Downloads (cumulative)15,683
Downloads (12 Months)6,434
Downloads (6 Weeks)612
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57 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): 36,   Downloads (12 Months): 36,   Downloads (Overall): 36

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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: 0
Downloads (6 Weeks): 41,   Downloads (12 Months): 241,   Downloads (Overall): 241

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To bridge the knowledge gap between research and practice, we present the first empirical study on 16,500 the most popular Android apps, demystifying how smartphone apps exploit deep learning in the wild. To this end, we build a new static tool that dissects apps and analyzes their deep learning functions. ...
Keywords: Deep Learning, Empirical Study, Mobile Apps

3 published by ACM
May 2019 WWW '19: The World Wide Web Conference
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 50,   Downloads (12 Months): 260,   Downloads (Overall): 260

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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

4 published by ACM
May 2019 WWW '19: The World Wide Web Conference
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 27,   Downloads (12 Months): 81,   Downloads (Overall): 81

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Recently, several JavaScript-based deep learning frameworks have emerged, making it possible to perform deep learning tasks directly in browsers. However, little is known on what and how well we can do with these frameworks for deep learning in browsers. To bridge the knowledge gap, in this paper, we conduct the ...
Keywords: Deep learning, Measurement, Web applications, Web browser

5 published by ACM
February 2019 HotMobile '19: Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 20,   Downloads (12 Months): 42,   Downloads (Overall): 42

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Automated-test-generation tools generate test cases to enable dynamic analysis of Android apps, such as functional testing. These tools build a GUI model to describe the app states during the app execution, and generate a script that performs actions on UI widgets to form a test case. However, when the test ...
Keywords: android app, automated test generation, reproducible

6 published by ACM
December 2018 Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies: Volume 2 Issue 4, December 2018
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 62,   Downloads (12 Months): 246,   Downloads (Overall): 246

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Mobile users spend an extensive amount of time on typing. A more efficient text input instrument brings a significant enhancement of user experience. Deep learning techniques have been recently applied to suggesting the next words of input, but to achieve more accurate predictions, these models should be customized for individual ...
Keywords: Deep Learning, Mobile Computing, Personalization

7 published by ACM
October 2018 MobiCom '18: Proceedings of the 24th Annual International Conference on Mobile Computing and Networking
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 44,   Downloads (12 Months): 718,   Downloads (Overall): 718

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We present DeepCache, a principled cache design for deep learning inference in continuous mobile vision. DeepCache benefits model execution efficiency by exploiting temporal locality in input video streams. It addresses a key challenge raised by mobile vision: the cache must operate under video scene variation, while trading off among cacheability, ...
Keywords: cache, deep learning, mobile vision

8 published by ACM
May 2018 ICSE-SEIP '18: Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 6,   Downloads (12 Months): 319,   Downloads (Overall): 465

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Blockchain systems, with the characteristics of decentralization, irreversibility and traceability, have attracted a lot of attentions recently. However, the current performance of blockchain is poor, which becomes a major constraint of its applications. Additionally, different blockchain systems lack standard performance monitoring approach which can automatically adapt to different systems and ...
Keywords: blockchain, monitoring, performance, smart contract

9 published by ACM
April 2018 EuroSys '18: Proceedings of the Thirteenth EuroSys Conference
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 5,   Downloads (12 Months): 135,   Downloads (Overall): 288

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Many apps benefit from knowing their power consumption and adapting their behaviors on the fly. To offer apps power knowledge at run time, an OS often meters system power and divides it among apps. Since the impacts of concurrent apps on system power are entangled , this approach not only ...
Keywords: embedded systems, energy efficiency, operating systems, power awareness

10
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): 36,   Downloads (12 Months): 450,   Downloads (Overall): 689

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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

11
April 2018 WWW '18: Proceedings of the 2018 World Wide Web Conference
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 11,   Downloads (12 Months): 179,   Downloads (Overall): 269

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Compared to the Web where each web page has a global URL for external access, a specific 'page' inside a mobile app cannot be easily accessed unless the user performs several steps from the landing page of this app. Recently, the concept of 'deep link' is expected to be a ...
Keywords: android apps, deep link, program analysis

12 published by ACM
March 2018 ACM Transactions on Internet Technology (TOIT) - Special Issue on Internetware and Devops and Regular Papers: Volume 18 Issue 2, March 2018
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 4,   Downloads (12 Months): 59,   Downloads (Overall): 112

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Web browsing is always a key requirement of Internet users. Current mobile Web apps can contain computation-intensive JavaScript logics and thus affect browsing performance. Learning from our over-decade research and development experiences of the Internetware paradigm, we present the novel and generic i - Jacob approach to improving the performance ...
Keywords: JavaScript offloading, performance, Mobile Web, energy

13 published by ACM
February 2018 WSDM '18: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 27,   Downloads (12 Months): 547,   Downloads (Overall): 873

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Stock trend prediction plays a critical role in seeking maximized profit from the stock investment. However, precise trend prediction is very difficult since the highly volatile and non-stationary nature of the stock market. Exploding information on the Internet together with the advancing development of natural language processing and text mining ...
Keywords: deep learning, stock trend prediction, text mining

14 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

15 published by ACM
September 2017 Internetware'17: Proceedings of the 9th Asia-Pacific Symposium on Internetware
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 23,   Downloads (Overall): 48

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With the rapid development of wearable devices such as smartwatches, we are brought to a new era of wearable computing. Due to limited computational capability, storage, and battery capacity, wearable devices can hardly execute computation-intensive tasks. The mainstream approach to overcoming these limitations is computation offloading, i.e., offloading the tasks ...
Keywords: Computation Offloading, Feedback-Driven, Middleware, Smartwatch Applications

16 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): 5,   Downloads (12 Months): 57,   Downloads (Overall): 297

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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

17 published by ACM
July 2017 ACM Transactions on Information Systems (TOIS) - Special issue: Search, Mining and their Applications on Mobile Devices: Volume 35 Issue 4, August 2017
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 21,   Downloads (12 Months): 212,   Downloads (Overall): 503

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App marketplaces host millions of mobile apps that are downloaded billions of times. Investigating how people manage mobile apps in their everyday lives creates a unique opportunity to understand the behavior and preferences of mobile device users, infer the quality of apps, and improve user experience. Existing literature provides very ...
Keywords: Mobile apps, app management activities, behavior analysis

18
May 2017 ICSE-C '17: Proceedings of the 39th International Conference on Software Engineering Companion
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 5,   Downloads (Overall): 50

Full text available: PDFPDF
Unlike the Web where each web page has a global URL to reach, a specific "content page" inside a mobile app cannot be opened unless the user explores the app with several operations from the landing page. Recently, deep links have been advocated by major companies to enable targeting and ...
Keywords: Android apps, program analysis, deep link

19
April 2017 WWW '17: Proceedings of the 26th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 4,   Downloads (12 Months): 36,   Downloads (Overall): 211

Full text available: PDFPDF
Background activities on smartphones are essential to today's "always-on" mobile device experience. Yet, there lacks a clear understanding of the cooperative behaviors among background activities as well as a quantification of the consequences. In this paper, we present the first in-depth study of app collusion, in which one app surreptitiously ...
Keywords: community detection, mobile computing, program analysis

20 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): 415,   Downloads (Overall): 1,694

Full text available: PDFPDF
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



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