| Scalable influence maximization for prevalent viral marketing in large-scale social networks W Chen, C Wang, Y Wang Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 2105 | 2010 |
| Social influence analysis in large-scale networks J Tang, J Sun, C Wang, Z Yang Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 1233 | 2009 |
| Multi-view clustering via joint nonnegative matrix factorization J Liu, C Wang, J Gao, J Han Proceedings of the 2013 SIAM international conference on data mining, 252-260, 2013 | 927 | 2013 |
| Scalable influence maximization for independent cascade model in large-scale social networks C Wang, W Chen, Y Wang Data Mining and Knowledge Discovery 25, 545-576, 2012 | 400 | 2012 |
| On community outliers and their efficient detection in information networks J Gao, F Liang, W Fan, C Wang, Y Sun, J Han Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 370 | 2010 |
| Mining quality phrases from massive text corpora J Liu, J Shang, C Wang, X Ren, J Han Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015 | 268 | 2015 |
| Scalable topical phrase mining from text corpora A El-Kishky, Y Song, C Wang, C Voss, J Han arXiv preprint arXiv:1406.6312, 2014 | 268 | 2014 |
| Mining advisor-advisee relationships from research publication networks C Wang, J Han, Y Jia, J Tang, D Zhang, Y Yu, J Guo Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 255 | 2010 |
| ALEX: an updatable adaptive learned index J Ding, UF Minhas, J Yu, C Wang, J Do, Y Li, H Zhang, B Chandramouli, ... Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 240 | 2020 |
| Netsmf: Large-scale network embedding as sparse matrix factorization J Qiu, Y Dong, H Ma, J Li, C Wang, K Wang, J Tang The World Wide Web Conference, 1509-1520, 2019 | 172 | 2019 |
| Mining evidences for named entity disambiguation Y Li, C Wang, F Han, J Han, D Roth, X Yan Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 132 | 2013 |
| Clustype: Effective entity recognition and typing by relation phrase-based clustering X Ren, A El-Kishky, C Wang, F Tao, CR Voss, J Han Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 129 | 2015 |
| Sample+ seek: Approximating aggregates with distribution precision guarantee B Ding, S Huang, S Chaudhuri, K Chakrabarti, C Wang Proceedings of the 2016 International Conference on Management of Data, 679-694, 2016 | 124 | 2016 |
| User profiling in an ego network: co-profiling attributes and relationships R Li, C Wang, KCC Chang Proceedings of the 23rd international conference on World wide web, 819-830, 2014 | 119 | 2014 |
| A phrase mining framework for recursive construction of a topical hierarchy C Wang, M Danilevsky, N Desai, Y Zhang, P Nguyen, T Taula, J Han Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 117 | 2013 |
| Flaml: A fast and lightweight automl library C Wang, Q Wu, M Weimer, E Zhu Proceedings of Machine Learning and Systems 3, 434-447, 2021 | 112 | 2021 |
| Large-Scale Spectral Clustering on Graphs J Liu, C Wang, M Danilevsky, J Han IJCAI'13, 0 | 98* | |
| Trust, but verify: Optimistic visualizations of approximate queries for exploring big data D Moritz, D Fisher, B Ding, C Wang Proceedings of the 2017 CHI conference on human factors in computing systems …, 2017 | 97 | 2017 |
| The wisdom of minority: Unsupervised slot filling validation based on multi-dimensional truth-finding D Yu, H Huang, T Cassidy, H Ji, C Wang, S Zhi, J Han, C Voss, ... Proceedings of COLING 2014, the 25th International Conference on …, 2014 | 95 | 2014 |
| Learning online discussion structures by conditional random fields H Wang, C Wang, CX Zhai, J Han Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 93 | 2011 |
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisVerified email at cs.uiuc.edu
