Year |
Citation |
Score |
2020 |
Chang B, Chen E, Zhu F, Liu Q, Xu T, Wang Z. Maximum a Posteriori Estimation for Information Source Detection Ieee Transactions On Systems, Man, and Cybernetics. 50: 2242-2256. DOI: 10.1109/Tsmc.2018.2811410 |
0.367 |
|
2020 |
Li Y, Wang G, Zhao Y, Zhu F, Wu Y. Towards k -vertex connected component discovery from large networks World Wide Web. 23: 799-830. DOI: 10.1007/S11280-019-00725-6 |
0.37 |
|
2019 |
Ma Y, Yuan Y, Zhu F, Wang G, Xiao J, Wang J. Who Should Be Invited to My Party: A Size-Constrained k-Core Problem in Social Networks Journal of Computer Science and Technology. 34: 170-184. DOI: 10.1007/S11390-019-1905-0 |
0.415 |
|
2018 |
Xie W, Zhu F, Xiao J, Wang J. Social Network Monitoring for Bursty Cascade Detection Acm Transactions On Knowledge Discovery From Data. 12: 1-24. DOI: 10.1145/3178048 |
0.415 |
|
2018 |
Han D, Li S, Wei F, Tang Y, Zhu F, Wang G. Two birds with one stone: Classifying positive and unlabeled examples on uncertain data streams Neurocomputing. 277: 149-160. DOI: 10.1016/J.Neucom.2017.03.094 |
0.326 |
|
2018 |
Guo G, Zhu F, Qu S, Wang X. PCCF: Periodic and continual temporal co-factorization for recommender systems Information Sciences. 56-73. DOI: 10.1016/J.Ins.2018.01.019 |
0.314 |
|
2017 |
Dong G, Yang W, Zhu F, Wang W. Discovering burst patterns of burst topic in twitter Computers & Electrical Engineering. 58: 551-559. DOI: 10.1016/J.Compeleceng.2016.06.012 |
0.373 |
|
2016 |
Guo G, Zhu F, Chen E, Liu Q, Wu L, Guan C. From Footprint to Evidence: An Exploratory Study of Mining Social Data for Credit Scoring Acm Transactions On the Web. 10: 22. DOI: 10.1145/2996465 |
0.419 |
|
2016 |
Qu Q, Liu S, Zhu F, Jensen CS. Efficient Online Summarization of Large-Scale Dynamic Networks Ieee Transactions On Knowledge and Data Engineering. 28: 3231-3245. DOI: 10.1109/Tkde.2016.2601611 |
0.348 |
|
2016 |
Xie W, Zhu F, Jiang J, Lim EP, Wang K. TopicSketch: Real-time bursty topic detection from twitter Ieee Transactions On Knowledge and Data Engineering. 28: 2216-2229. DOI: 10.1109/Tkde.2016.2556661 |
0.357 |
|
2016 |
Wei W, Cong G, Miao C, Zhu F, Li G. Learning to Find Topic Experts in Twitter via Different Relations Ieee Transactions On Knowledge and Data Engineering. 28: 1764-1778. DOI: 10.1109/Tkde.2016.2539166 |
0.413 |
|
2016 |
Wei W, Ming ZY, Nie L, Li G, Li J, Zhu F, Shang T, Luo C. Exploring heterogeneous features for query-focused summarization of categorized community answers Information Sciences. 330: 403-423. DOI: 10.1016/J.Ins.2015.10.024 |
0.407 |
|
2015 |
Jiang M, Song D, Liao L, Zhu F. A Bayesian recommender model for user rating and review profiling Tsinghua Science & Technology. 20: 634-643. DOI: 10.1109/Tst.2015.7350016 |
0.335 |
|
2015 |
Liu S, Wang S, Zhu F. Structured Learning from Heterogeneous Behavior for Social Identity Linkage Ieee Transactions On Knowledge and Data Engineering. 27: 2005-2019. DOI: 10.1109/Tkde.2015.2397434 |
0.403 |
|
2015 |
Dai H, Zhu F, Lim EP, Pang HH. Detecting anomaly collections using extreme feature ranks Data Mining and Knowledge Discovery. 29: 689-731. DOI: 10.1007/S10618-014-0360-3 |
0.334 |
|
2012 |
Liu L, Zhu F, Zhang L, Yang S. A probabilistic graphical model for topic and preference discovery on social media Neurocomputing. 95: 78-88. DOI: 10.1016/J.Neucom.2011.05.039 |
0.404 |
|
2010 |
Liu L, Zhu F, Jiang M, Han J, Sun L, Yang S. Mining diversity on social media networks Multimedia Tools and Applications. 56: 179-205. DOI: 10.1007/S11042-010-0568-1 |
0.498 |
|
2009 |
Chen C, Yan X, Zhu F, Han J, Yu PS. Graph OLAP: a multi-dimensional framework for graph data analysis Knowledge and Information Systems. 21: 41-63. DOI: 10.1007/S10115-009-0228-9 |
0.462 |
|
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