Author image not provided
 Lifang He
 lifanghescutatgmail.com

  Affiliation history
Bibliometrics: publication history
Average citations per article0.92
Citation Count12
Publication count13
Publication years2015-2017
Available for download8
Average downloads per article223.75
Downloads (cumulative)1,790
Downloads (12 Months)1,497
Downloads (6 Weeks)240
SEARCH
ROLE




BOOKMARK & SHARE


13 results found Export Results: bibtexendnoteacmrefcsv

Result 1 – 13 of 13
Sort by:

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): 18,   Downloads (12 Months): 41,   Downloads (Overall): 41

Full text available: PDFPDF
Nowadays, there is an emerging way of connecting logistics orders and van drivers, where it is crucial to predict the order response time. Accurate prediction of order response time would not only facilitate decision making on order dispatching, but also pave ways for applications such as supply-demand analysis and driver ...
Keywords: response time prediction, logistics services, sparse matrix factorization, coupled matrix factorization

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: 1
Downloads (6 Weeks): 27,   Downloads (12 Months): 105,   Downloads (Overall): 105

Full text available: PDFPDF
Anchor links connect information entities, such as entities of movies or products, across networks from different sources, and thus information in these networks can be transferred directly via anchor links. Therefore, anchor links have great value to many cross-network applications, such as cross-network social link prediction and cross-network recommendation. In ...
Keywords: anchor links, recommendation, cross-network, matrix factorization

3 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): 17,   Downloads (12 Months): 75,   Downloads (Overall): 75

Full text available: PDFPDF
Multi-view clustering has become a widely studied problem in the area of unsupervised learning. It aims to integrate multiple views by taking advantages of the consensus and complimentary information from multiple views. Most of the existing works in multi-view clustering utilize the vector-based representation for features in each view. However, ...
Keywords: connectome analysis, graph embedding, multi-view clustering

4 published by ACM
August 2017 KDD '17: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 87,   Downloads (12 Months): 472,   Downloads (Overall): 472

Full text available: PDFPDF
Mining from neuroimaging data is becoming increasingly popular in the field of healthcare and bioinformatics, due to its potential to discover clinically meaningful structure patterns that could facilitate the understanding and diagnosis of neurological and neuropsychiatric disorders. Most recent research concentrates on applying subgraph mining techniques to discover connected subgraph ...
Keywords: deep learning, brain network, graph reordering

5 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): 37,   Downloads (12 Months): 235,   Downloads (Overall): 235

Full text available: PDFPDF
Estimating urban traffic conditions of an arterial network with GPS probe data is a practically important while substantially challenging problem, and has attracted increasing research interests recently. Although GPS probe data is becoming a ubiquitous data source for various traffic related applications currently, they are usually insufficient for fully estimating ...
Keywords: Social media, data fusion, matrix factorization, traffic congestion

6
May 2017 Data Mining and Knowledge Discovery: Volume 31 Issue 3, May 2017
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 0

In real world, a heterogeneous information network (HIN) is often dynamic due to the time varying features of the nodes, and uncertain due to missing values and noise. In this paper, we investigate the problem of reducing the uncertainty of a dynamic HIN, which is an important task for HIN ...
Keywords: Sparse tensor approximate, Graph embedding, Heterogeneous information network, Invertible fusing transformation

7 published by ACM
February 2017 WSDM '17: Proceedings of the Tenth ACM International Conference on Web Search and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 23,   Downloads (12 Months): 207,   Downloads (Overall): 207

Full text available: PDFPDF
Many real-world problems, such as web image analysis, document categorization and product recommendation, often exhibit dual-heterogeneity: heterogeneous features obtained in multiple views, and multiple tasks might be related to each other through one or more shared views. To address these Multi-Task Multi-View (MTMV) problems, we propose a tensor-based framework for ...
Keywords: multi-view, tensor factorization, multi-task

8
September 2016 ECML PKDD 2016: European Conference on Machine Learning and Knowledge Discovery in Databases - Volume 9851
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 2

Learning from graph data has been attracting much attention recently due to its importance in many scientific applications, where objects are represented as graphs. In this paper, we study the problem of multi-graph clustering i.e., clustering multiple graphs. We propose a multi-graph clustering approach MGCT based on the interior-node topology ...
Keywords: Brain network, Multi-graph clustering, Interior-node topology

9
September 2016 ECML PKDD 2016: European Conference on Machine Learning and Knowledge Discovery in Databases - Volume 9851
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

In the trust-centric context of signed networks, the social links among users are associated with specific polarities to denote the attitudes trust vs distrust among the users. Different from traditional unsigned social networks, the diffusion of information in signed networks can be affected by the link polarities and users' positions ...
Keywords: Data mining, Trust hole detection, Signed networks

10 published by ACM
August 2016 KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 14,   Downloads (12 Months): 122,   Downloads (Overall): 179

Full text available: PDFPDF
Detecting communities (or modular structures) and structural hole spanners, the nodes bridging different communities in a network, are two essential tasks in the realm of network analytics. Due to the topological nature of communities and structural hole spanners, these two tasks are naturally tangled with each other, while there has ...
Keywords: community detection, social network, harmonic function, modularity, structural hole

11
July 2016 IJCAI'16: Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 0

Nowadays, a large number of new online businesses emerge rapidly. For these emerging businesses, existing recommendation models usually suffer from the data-sparsity. In this paper, we introduce a novel similarity measure, AmpSim (Augmented Meta Path-based Similarity) that takes both the linkage structures and the augmented link attributes into account. By ...

12 published by ACM
November 2015 SIGSPATIAL '15: Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 17,   Downloads (12 Months): 240,   Downloads (Overall): 476

Full text available: PDFPDF
Conventional traffic congestion estimation approaches require the deployment of traffic sensors or large-scale probe vehicles. The high cost of deploying and maintaining these equipments largely limits their spatial-temporal coverage. This paper proposes an alternative solution with lower cost and wider spatial coverage by exploring traffic related information from Twitter. By ...
Keywords: tensor factorization, congestion estimation, social media

13
September 2015 ECMLPKDD'15: Proceedings of the 2015th European Conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Publisher: Springer
Bibliometrics:
Citation Count: 0

With the advance of technology, data are often with multiple modalities or coming from multiple sources. Multi-view clustering provides a natural way for generating clusters from such data. Although multi-view clustering has been successfully applied in many applications, most of the previous methods assumed the completeness of each view ( ...



The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2018 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us