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 Xiaofang Zhou

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Average citations per article4.21
Citation Count59
Publication count14
Publication years2006-2017
Available for download2
Average downloads per article519.00
Downloads (cumulative)1,038
Downloads (12 Months)281
Downloads (6 Weeks)46
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14 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
November 2017 CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 24,   Downloads (12 Months): 79,   Downloads (Overall): 79

Full text available: PDFPDF
Cross-device and cross-domain user linkage have been attracting a lot of attention recently. An important branch of the study is to achieve user linkage with spatio-temporal data generated by the ubiquitous GPS-enabled devices. The main task in this problem is twofold, i.e., how to extract the representative features of a ...
Keywords: user linkage, spatio-temporal behaviors, cross-domain

2
September 2017 World Wide Web: Volume 20 Issue 5, September 2017
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 0

Efficiently searching top-k representative vertices is crucial for understanding the structure of large dynamic graphs. Recent studies show that communities formed by a vertex with high local clustering coefficient and its neighbours can achieve enhanced information propagation speed as well as disease transmission speed. However, local clustering coefficient, which measures ...
Keywords: Large dynamic graphs, Clustering coefficient, Node ranking, Top-k search

3
July 2017 World Wide Web: Volume 20 Issue 4, July 2017
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 0

User based collaborative filtering (CF) has been successfully applied into recommender system for years. The main idea of user based CF is to discover communities of users sharing similar interests, thus, in which, the measurement of user similarity is the foundation of CF. However, existing user based CF methods suffer ...
Keywords: Recommender systems, LDA, Hierarchical clustering, PLSA, Collaborative filtering

4
July 2017 World Wide Web: Volume 20 Issue 4, July 2017
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 0

Efficiently answering reachability queries, which checks whether one vertex can reach another in a directed graph, has been studied extensively during recent years. However, the size of the graph that people are facing and generating nowadays is growing so rapidly that simple algorithms, such as BFS and DFS, are no ...
Keywords: Graph reachability query, Online search, High dimensional coordinate, Graph dominance drawing

5
March 2017 IEEE Transactions on Knowledge and Data Engineering: Volume 29 Issue 3, March 2017
Publisher: IEEE Educational Activities Department
Bibliometrics:
Citation Count: 0

Understanding short texts is crucial to many applications, but challenges abound. First, short texts do not always observe the syntax of a written language. As a result, traditional natural language processing tools, ranging from part-of-speech tagging to dependency parsing, cannot be easily applied. Second, short texts usually do not contain ...

6
January 2017 IEEE Transactions on Knowledge and Data Engineering: Volume 29 Issue 1, January 2017
Publisher: IEEE Educational Activities Department
Bibliometrics:
Citation Count: 0

Schema Matching (SM) and Record Matching (RM) are two necessary steps in integrating multiple relational tables of different schemas, where SM unifies the schemas and RM detects records referring to the same real-world entity. The two processes have been thoroughly studied separately, but few attention has been paid to the ...

7
November 2016 WISE 2016: Proceedings of the 17th International Conference on Web Information Systems Engineering - Volume 10042
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 1

With the rapid prevalence of smart mobile devices and the dramatic proliferation of location-based social networks LBSNs, point of interest POI recommendation has become an important means to help people discover attractive and interesting places. In this paper, we investigate the problem of next POI recommendation by considering the sequential ...
Keywords: Sequential influence, Dynamic user preferences, Metric embedding, Next POI recommendation

8
October 2016 IEEE Transactions on Knowledge and Data Engineering: Volume 28 Issue 10, October 2016
Publisher: IEEE Educational Activities Department
Bibliometrics:
Citation Count: 6

Point-of-Interest recommendation is an essential means to help people discover attractive locations, especially when people travel out of town or to unfamiliar regions. While a growing line of research has focused on modeling user geographical preferences for POI recommendation, they ignore the phenomenon of user interest drift across geographical regions, ...

9 published by ACM
March 2015 ACM Transactions on Information Systems (TOIS): Volume 33 Issue 3, March 2015
Publisher: ACM
Bibliometrics:
Citation Count: 11
Downloads (6 Weeks): 22,   Downloads (12 Months): 202,   Downloads (Overall): 959

Full text available: PDFPDF
Social media provides valuable resources to analyze user behaviors and capture user preferences. This article focuses on analyzing user behaviors in social media systems and designing a latent class statistical mixture model, named temporal context-aware mixture model (TCAM), to account for the intentions and preferences behind user behaviors. Based on ...
Keywords: probabilistic generative model, temporal recommender system, User behavior modeling, social media mining

10
June 2014 IEEE Transactions on Multimedia: Volume 16 Issue 4, June 2014
Publisher: IEEE Press
Bibliometrics:
Citation Count: 17

Visual attributes can be considered as a middle-level semantic cue that bridges the gap between low-level image features and high-level object classes. Thus, attributes have the advantage of transcending specific semantic categories or describing objects across categories. Since attributes are often human-nameable and domain specific, much work constructs attribute annotations ...

11
December 2013 IEEE Transactions on Image Processing: Volume 22 Issue 12, December 2013
Publisher: IEEE Press
Bibliometrics:
Citation Count: 3

The robust detection of small targets is one of the key techniques in infrared search and tracking applications. A novel small target detection method in a single infrared image is proposed in this paper. Initially, the traditional infrared image model is generalized to a new infrared patch-image model using local ...

12
August 2013 IEEE Transactions on Knowledge and Data Engineering: Volume 25 Issue 8, August 2013
Publisher: IEEE Educational Activities Department
Bibliometrics:
Citation Count: 18

Data clustering is one of the fundamental research problems in data mining and machine learning. Most of the existing clustering methods, for example, normalized cut and $(k)$-means, have been suffering from the fact that their optimization processes normally lead to an NP-hard problem due to the discretization of the elements ...
Keywords: Nonnegative spectral clustering, discriminative regularization, out-of-sample

13
February 2013 IEEE Transactions on Knowledge and Data Engineering: Volume 25 Issue 2, February 2013
Publisher: IEEE Educational Activities Department
Bibliometrics:
Citation Count: 0

In this paper, we propose a new type of Dictionary-based Entity Recognition Problem, named Approximate Membership Localization (AML). The popular Approximate Membership Extraction (AME) provides a full coverage to the true matched substrings from a given document, but many redundancies cause a low efficiency of the AME process and deteriorate ...
Keywords: Dictionaries,Redundancy,Approximation methods,Approximation algorithms,Correlation,Web search,Pattern matching,AML,Web-based join,approximate membership location

14
May 2006 Multimedia Systems: Volume 11 Issue 5, May 2006
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

In this paper, we present ICICLE (Image ChainNet and Incremental Clustering Engine), a prototype system that we have developed to efficiently and effectively retrieve WWW images based on image semantics. ICICLE has two distinguishing features. First, it employs a novel image representation model called Weight ChainNet to capture the semantics ...
Keywords: Search, Image retrieval, Clustering, Semantic-based, WWW



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