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 Vincentwenchen Zheng

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Average citations per article14.36
Citation Count359
Publication count25
Publication years2007-2017
Available for download10
Average downloads per article631.40
Downloads (cumulative)6,314
Downloads (12 Months)764
Downloads (6 Weeks)103
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26 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
January 2018 Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies: Volume 1 Issue 4, December 2017
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 12,   Downloads (12 Months): 12,   Downloads (Overall): 12

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Chain businesses have been dominating the market in many parts of the world. It is important to identify the optimal locations for a new chain store. Recently, numerous studies have been done on chain store location recommendation. These studies typically learn a model based on the features of existing chain ...
Keywords: Collaborative Filtering, Chain Store Site Recommendation, Knowledge Transfer, Recommendation, Urban Computing

2 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): 35,   Downloads (12 Months): 90,   Downloads (Overall): 90

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In this paper, we study an important yet largely under-explored setting of graph embedding, i.e., embedding communities instead of each individual nodes. We find that community embedding is not only useful for community-level applications such as graph visualization, but also beneficial to both community detection and node classification. To learn ...
Keywords: community embedding, graph embedding

3
March 2017 Proceedings of the VLDB Endowment: Volume 10 Issue 7, March 2017
Publisher: VLDB Endowment
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 18,   Downloads (12 Months): 22,   Downloads (Overall): 22

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Most existing community-related studies focus on detection, which aim to find the community membership for each user from user friendship links. However, membership alone, without a complete profile of what a community is and how it interacts with other communities, has limited applications. This motivates us to consider systematically profiling ...

4 published by ACM
October 2016 CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 7,   Downloads (12 Months): 91,   Downloads (Overall): 91

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Constraints have been shown as an effective way to incorporate unlabeled data for semi-supervised structured classification. We recognize that, constraints are often conditional and probabilistic; moreover, a constraint can have its condition depend on either just observations (which we call x-type constraint) or even hidden variables (which we call y-type ...
Keywords: conditional probabilistic constraint, structured classifier

5
July 2016 Artificial Intelligence in Medicine: Volume 71 Issue C, July 2016
Publisher: Elsevier Science Publishers Ltd.
Bibliometrics:
Citation Count: 0

HighlightsPrescribing cascade can be associated with adverse effects.Timely detection of detrimental prescribing cascades is essential.Social media is a promising source to detect detrimental prescribing cascades.Sequence mining is used to signal detrimental prescribing cascades from social media. MotivationPrescribing cascade (PC) occurs when an adverse drug reaction (ADR) is misinterpreted as a ...
Keywords: Existence uncertainty, Order uncertainty, Social media, Drug, Adverse effect, Detrimental prescribing cascade, Sequence mining

6
February 2016 AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 0

In this paper, we study a cold-start heterogeneous-device localization problem. This problem is challenging, because it results in an extreme inductive transfer learning setting, where there is only source domain data but no target domain data. This problem is also underexplored. As there is no target domain data for calibration, ...

7
November 2015 ICDMW '15: Proceedings of the 2015 IEEE International Conference on Data Mining Workshop (ICDMW)
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Shopping experience is important for both citizens and tourists. We present IntelligShop, a novel location-based augmented reality application that supports intelligent shopping experience in malls. As the key functionality, IntelligShop provides an augmented reality interface -- people can simply use ubiquitous smartphones to face mall retailers, then IntelligShop will automatically ...

8
July 2015 IJCAI'15: Proceedings of the 24th International Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 0

Mobile user verification is to authenticate whether a given user is the legitimate user of a smartphone device. Unlike the current methods that commonly require users active cooperation, such as entering a short pin or a one-stroke draw pattern, we propose a new passive verification method that requires minimal imposition ...

9 published by ACM
April 2015 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 6 Issue 1, April 2015
Publisher: ACM
Bibliometrics:
Citation Count: 8
Downloads (6 Weeks): 9,   Downloads (12 Months): 93,   Downloads (Overall): 314

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With the growing popularity of location-based social networks, numerous location visiting records (e.g., check-ins) continue to accumulate over time. The more these records are collected, the better we can understand users’ mobility patterns and the more accurately we can predict their future locations. However, due to the personality trait of ...
Keywords: Exploration Prediction, location recommendation, Location-based services, location prediction, social network

10
June 2013 ICML'13: Proceedings of the 30th International Conference on International Conference on Machine Learning - Volume 28
Publisher: JMLR.org
Bibliometrics:
Citation Count: 3

Covariate shift is an unconventional learning scenario in which training and testing data have different distributions. A general principle to solve the problem is to make the training data distribution similar to that of the test domain, such that classifiers computed on the former generalize well to the latter. Current ...

11 published by ACM
May 2013 WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 2,   Downloads (12 Months): 71,   Downloads (Overall): 293

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With the increasing popularity of Location-based Social Networks, a vast amount of location check-ins have been accumulated. Though location prediction in terms of check-ins has been recently studied, the phenomena that users often check in novel locations has not been addressed. To this end, in this paper, we leveraged collaborative ...
Keywords: lbsns, location prediction, collaborative filtering

12
June 2012 Artificial Intelligence: Volume 184-185, June, 2012
Publisher: Elsevier Science Publishers Ltd.
Bibliometrics:
Citation Count: 28

With the increasing popularity of location-based services, we have accumulated a lot of location data on the Web. In this paper, we are interested in answering two popular location-related queries in our daily life: (1) if we want to do something such as sightseeing or dining in a large city ...
Keywords: Activity, Collaborative filtering, Location, Mobile recommendation, GPS, Personalization

13
July 2011 IJCAI'11: Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Publisher: AAAI Press
Bibliometrics:
Citation Count: 3

Activity recognition aims to discover one or more users' actions and goals based on sensor readings. In the real world, a single user's data are often insufficient for training an activity recognition model due to the data sparsity problem. This is especially true when we are interested in obtaining a ...

14
June 2011 Pervasive and Mobile Computing: Volume 7 Issue 3, June, 2011
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 12

In activity recognition, one major challenge is how to reduce the labeling effort one needs to make when recognizing a new set of activities. In this paper, we analyze the possibility of transferring knowledge from the available labeled data on a set of existing activities in one domain to help ...
Keywords: Web mining, Activity recognition, Transfer learning

15
July 2010 AAAI'10: Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 12

With the increasing popularity of location tracking services such as GPS, more and more mobile data are being accumulated. Based on such data, a potentially useful service is to make timely and targeted recommendations for users on places where they might be interested to go and activities that they are ...

16 published by ACM
April 2010 WWW '10: Proceedings of the 19th international conference on World wide web
Publisher: ACM
Bibliometrics:
Citation Count: 159
Downloads (6 Weeks): 22,   Downloads (12 Months): 259,   Downloads (Overall): 2,815

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With the increasing popularity of location-based services, such as tour guide and location-based social network, we now have accumulated many location data on the Web. In this paper, we show that, by using the location data based on GPS and users' comments at various locations, we can discover interesting locations ...
Keywords: collaborative filtering, location and activity recommendations

17 published by ACM
November 2009 LBSN '09: Proceedings of the 2009 International Workshop on Location Based Social Networks
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 5,   Downloads (12 Months): 23,   Downloads (Overall): 472

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As the GPS-enabled mobile devices become extensively available, we are now given a chance to better understand human behaviors from a large amount of the GPS trajectories representing the mobile users' location histories. In this paper, we aim to establish a framework, which can jointly learn the user activities (what ...
Keywords: activity recognition, user profile learning, GPS

18 published by ACM
September 2009 UbiComp '09: Proceedings of the 11th international conference on Ubiquitous computing
Publisher: ACM
Bibliometrics:
Citation Count: 27
Downloads (6 Weeks): 7,   Downloads (12 Months): 53,   Downloads (Overall): 711

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In activity recognition, one major challenge is huge manual effort in labeling when a new domain of activities is to be tested. In this paper, we ask an interesting question: can we transfer the available labeled data from a set of existing activities in one domain to help recognize the ...
Keywords: activity recognition, transfer learning, cross domain, web search

19
July 2009 IJCAI'09: Proceedings of the 21st international jont conference on Artifical intelligence
Publisher: Morgan Kaufmann Publishers Inc.
Bibliometrics:
Citation Count: 17

Detecting abnormal activities from sensor readings is an important research problem in activity recognition. A number of different algorithms have been proposed in the past to tackle this problem. Many of the previous state-based approaches suffer from the problem of failing to decide the appropriate number of states, which are ...

20
March 2009 PERCOM '09: Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Positioning is a crucial task in pervasive computing, aimed at estimating the user's positions to provide location-based services. In this paper, we study an interesting problem: when we wish to obtain hybrid positioning granularities in an office environment, how can we incorporate heterogeneous sensors to build an indoor positioning system ...



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