Feida Zhu
Cited by
Cited by
Finding bursty topics from microblogs
Q Diao, J Jiang, F Zhu, EP LIM
Acl, 2012
Topicsketch: Real-time bursty topic detection from twitter
W Xie, F Zhu, J Jiang, EP Lim, K Wang
IEEE Transactions on Knowledge and Data Engineering 28 (8), 2216-2229, 2016
Hydra: Large-scale social identity linkage via heterogeneous behavior modeling
S Liu, S Wang, F Zhu, J Zhang, R Krishnan
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
Cqarank: jointly model topics and expertise in community question answering
L Yang, M Qiu, S Gottipati, F Zhu, J Jiang, H Sun, Z Chen
Proceedings of the 22nd ACM international conference on Information …, 2013
Graph OLAP: Towards online analytical processing on graphs
C Chen, X Yan, F Zhu, J Han, SY Philip
2008 eighth IEEE international conference on data mining, 103-112, 2008
On recommending hashtags in twitter networks
SM Kywe, TA Hoang, EP Lim, F Zhu
International conference on social informatics, 337-350, 2012
Text cube: Computing ir measures for multidimensional text database analysis
CX Lin, B Ding, J Han, F Zhu, B Zhao
2008 Eighth IEEE International Conference on Data Mining, 905-910, 2008
User identity linkage by latent user space modelling
X Mu, F Zhu, EP Lim, J Xiao, J Wang, ZH Zhou
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
Mining colossal frequent patterns by core pattern fusion
F Zhu, X Yan, J Han, SY Philip, H Cheng
2007 IEEE 23rd international conference on data engineering, 706-715, 2006
gapprox: Mining frequent approximate patterns from a massive network
C Chen, X Yan, F Zhu, J Han
Seventh IEEE International Conference on Data Mining (ICDM 2007), 445-450, 2007
A survey of recommender systems in twitter
SM Kywe, EP Lim, F Zhu
International Conference on Social Informatics, 420-433, 2012
gPrune: a constraint pushing framework for graph pattern mining
F Zhu, X Yan, J Han, PS Yu
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 388-400, 2007
Graph OLAP: a multi-dimensional framework for graph data analysis
C Chen, X Yan, F Zhu, J Han, PS Yu
Knowledge and information systems 21 (1), 41-63, 2009
Mining top-k large structural patterns in a massive network
F Zhu, Q Qu, D Lo, X Yan, J Han, PS Yu
Proceedings of the VLDB Endowment 4 (11), 807-818, 2011
Detecting click fraud in online advertising: a data mining approach
R Oentaryo, EP Lim, M Finegold, D Lo, F Zhu, C Phua, EY Cheu, GE Yap, ...
The Journal of Machine Learning Research 15 (1), 99-140, 2014
Characterizing silent users in social media communities
W Gong, EP Lim, F Zhu
Proceedings of the International AAAI Conference on Web and Social Media 9 …, 2015
It is not just what we say, but how we say them: Lda-based behavior-topic model
M Qiu, F Zhu, J Jiang
Proceedings of the 2013 SIAM international conference on data mining, 794-802, 2013
Efficient topological OLAP on information networks
Q Qu, F Zhu, X Yan, J Han, PS Yu, H Li
International Conference on Database Systems for Advanced Applications, 389-403, 2011
Searching substructures with superimposed distance
X Yan, F Zhu, J Han, PS Yu
22nd International Conference on Data Engineering (ICDE'06), 88-88, 2006
Deep knowledge tracing and dynamic student classification for knowledge tracing
S Minn, Y Yu, MC Desmarais, F Zhu, JJ Vie
2018 IEEE International conference on data mining (ICDM), 1182-1187, 2018
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