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 Yuanzhuo Wang

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Average citations per article1.76
Citation Count67
Publication count38
Publication years2005-2017
Available for download10
Average downloads per article200.70
Downloads (cumulative)2,007
Downloads (12 Months)551
Downloads (6 Weeks)85
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39 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
December 2017 ACM Transactions on the Web (TWEB): Volume 12 Issue 2, December 2017
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 44,   Downloads (12 Months): 44,   Downloads (Overall): 44

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A knowledge graph is a graph with entities of different types as nodes and various relations among them as edges. The construction of knowledge graphs in the past decades facilitates many applications, such as link prediction, web search analysis, question answering, and so on. Knowledge graph embedding aims to represent ...
Keywords: convergence, optimal margin, Locally and temporally adaptive translation, knowledge graph embedding

2 published by ACM
August 2017 WI '17: Proceedings of the International Conference on Web Intelligence
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 4,   Downloads (12 Months): 30,   Downloads (Overall): 30

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Knowledge graph embedding aims to embed entities and relations of knowledge graphs into low-dimensional vector spaces. Translating embedding methods regard relations as the translation from head entities to tail entities, which achieve the state-of-the-art results among knowledge graph embedding methods. However, a major limitation of these methods is the time ...
Keywords: parallel, translation-based, knowledge graph embedding

3
April 2016 PAKDD 2016: Proceedings, Part II, of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining - Volume 9652
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

In this paper, we present R-OpenIE, a rule based open information extraction method using cascaded finite-state transducer. R-OpenIE defines contextual constraint declarative rules to generate relation extraction templates, which frees from the influence of syntactic parser errors, and it uses cascaded finite-state transducer model to match the satisfied relational tuples. ...
Keywords: Declarative definition, Relation extraction, Contextual constraint rule, Knowledge base population

4
April 2016 WWW '16 Companion: Proceedings of the 25th International Conference Companion on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 5,   Downloads (12 Months): 71,   Downloads (Overall): 164

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Link prediction over a knowledge graph aims to predict the missing entity h or t for a triple (h,r,t). Existing knowledge graph embedding based predictive methods represent entities and relations in knowledge graphs as elements of a vector space, and employ the structural information for link prediction. However, knowledge graphs ...
Keywords: hierarchy, knowledge graph embedding, link prediction

5
March 2016 IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP): Volume 24 Issue 3, March 2016
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 26,   Downloads (Overall): 57

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Sentiment classification aims to determine the sentiment polarity expressed in a text. In online customer reviews, the sentiment polarities of words are usually dependent on the corresponding aspects. For instance, in mobile phone reviews, we may expect the long battery time but not enjoy the long response time of the ...
Keywords: topic model, cross-language, sentiment classification

6
February 2016 AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 1

Knowledge graph embedding aims to represent entities and relations in a large-scale knowledge graph as elements in a continuous vector space. Existing methods, e.g., TransE and TransH, learn embedding representation by defining a global margin-based loss function over the data. However, the optimal loss function is determined during experiments whose ...
Keywords: optimal margin, locally adaptive translation, knowledge graph embedding

7
February 2016 AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 0

Predicting links and their building time in a knowledge network has been extensively studied in recent years. Most structure-based predictive methods consider structures and the time information of edges separately, which fail to characterize the correlation between them. In this paper, we propose a structure called the Time-Difference-Labeled Path, and ...

8 published by ACM
February 2016 ACM Transactions on Intelligent Systems and Technology (TIST) - Regular Papers, Survey Papers and Special Issue on Recommender System Benchmarks: Volume 7 Issue 3, April 2016
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 15,   Downloads (12 Months): 130,   Downloads (Overall): 380

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In social networks, predicting a user’s location mainly depends on those of his/her friends, where the key lies in how to select his/her most influential friends. In this article, we analyze the theoretically maximal accuracy of location prediction based on friends’ locations and compare it with the practical accuracy obtained ...
Keywords: influential friends, Location prediction, dynamic Bayesian network, temporal-spatial evolution, dynamic selection

9
September 2015 The Journal of Supercomputing: Volume 71 Issue 9, September 2015
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 1

Due to the development of web services, many social network sites, as well as online shopping sites have been booming in the past decade, where it is a common phenomenon that people are likely to use multiple services at the same time. On the one hand, previous research findings indicate ...
Keywords: Account matching, Prediction of purchase behaviors, Heterogeneous social networks

10
June 2015 Big Data Research: Volume 2 Issue 2, June 2015
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 10

In recent years, the rapid development of Internet, Internet of Things, and Cloud Computing have led to the explosive growth of data in almost every industry and business area. Big data has rapidly developed into a hot topic that attracts extensive attention from academia, industry, and governments around the world. ...
Keywords: System complexity, Computational complexity, Big data, Data complexity

11
January 2015 Security and Communication Networks: Volume 8 Issue 1, January 2015
Publisher: John Wiley & Sons, Inc.
Bibliometrics:
Citation Count: 1

Privacy theft malware has become a serious and challenging problem to cyber security. Previous methods are of different categories: one focuses on the outbound network traffic and the other one dives into the inside information flow of the program. We incorporate dynamic behavior analysis with network traffic analysis and present ...
Keywords: malware detection, multi-process, Privacy Petri Net, privacy theft

12 published by ACM
November 2014 CIKM '14: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 9,   Downloads (12 Months): 186,   Downloads (Overall): 679

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Sentiment analysis in various languages has been a research hotspot with many applications. However, sentiment resources (e.g., labeled corpora, sentiment lexicons) of different languages are unbalanced in terms of quality and quantity, which arouses interests in cross-lingual sentiment analysis aiming at using the resources in a source language to improve ...
Keywords: aspect discovery, sentiment analysis, topic model, cross-lingual sentiment analysis

13
August 2014 WI-IAT '14: Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 02
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 11,   Downloads (Overall): 30

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There are often enormous interactions among users of online social networking services. Based on their interactions and the corresponding contents, the users can be clustered into different interaction groups with different interests. In this paper, we propose a game-theoretic approach for formulating the dynamics of users' participation into interaction groups ...

14
August 2014 WI-IAT '14: Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 02
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 4,   Downloads (12 Months): 13,   Downloads (Overall): 36

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Sentiment analysis is a hard problem, while multilingual sentiment analysis is even harder due to the different expression styles in different languages. Although many methods for multilingual sentiment analysis have been developed in the open literature, most of them suffer from two major problems. The first is their excessive dependence ...

15
July 2014 AAAI'14: Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 2

One challenge of link prediction in online social networks is the large scale of many such networks. The measures used by existing work lack a computational consideration in the large scale setting. We propose the notion of social distance in a multi-dimensional form to measure the closeness among a group ...

16
July 2014 AAAI'14: Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 2

Relation inference between concepts in knowledge base has been extensively studied in recent years. Previous methods mostly apply the relations in the knowledge base, without fully utilizing the contents, i.e., the attributes of concepts in knowledge base. In this paper, we propose a content-structural relation inference method (CSRI) which integrates ...

17 published by ACM
April 2014 WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 18,   Downloads (Overall): 129

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In this paper, we propose a social evolutionary game to investigate the evolution of social networks. Through comparison between simulation and empirical analysis on the social networks of Twitter and Sina Weibo, we validate the effectiveness of the proposed model and estimate the evolutionary phases of the two networks. We ...
Keywords: reputation, social network, social evolutionary game

18
July 2013 ICIC'13: Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

Due to convenient information change at individual level in recent years, social network has become popular platform of information dissemination, more precisely, micro-blog has attracted a lot of attention, thus modeling the real opinion interactions on micro-blog is important. This paper is devoted to apply evolutionary game models to reveal ...
Keywords: social network, replicator dynamics, evolutionary games, opinion interactions

19 published by ACM
May 2013 WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 7,   Downloads (12 Months): 28,   Downloads (Overall): 274

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Sentiment classification on tweet events attracts more interest in recent years. The large tweet stream stops people reading the whole classified list to understand the insights. We employ the co-training framework in the proposed algorithm. Features are split into text view features and non-text view features. Two Random Forest (RF) ...
Keywords: co-training, microblog events, sentiment analysis, visualization

20 published by ACM
August 2012 ISI-KDD '12: Proceedings of the ACM SIGKDD Workshop on Intelligence and Security Informatics
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 8,   Downloads (Overall): 165

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Nowadays, lots of private information are collected and spread without proper protection. privacy leak behavior has been widely discovered in many malwares and suspicious applications. We refer to such software as privacy leak software (PLS). In this paper we present an abstract model called Privacy Petri Net (PPN) for privacy ...
Keywords: privacy Petri net, quantitative analysis, software behavior analysis, privacy leak software, malware analysis



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