| Outlier Detection for Temporal Data M Gupta, J Gao, C Aggarwal, J Han The 13th SIAM International Conference on Data Mining (SDM 2013), 2013 | 1253* | 2013 |
| Outlier Detection for Temporal Data M Gupta, J Gao, C Aggarwal, J Han The 22nd ACM International Conference on Information and Knowledge …, 2013 | 1250* | 2013 |
| Outlier Detection for Temporal Data: A Survey M Gupta, J Gao, C Aggarwal, J Han IEEE Transactions on Knowledge and Data Engineering (TKDE) 26 (9), 2250-2267, 2014 | 1047 | 2014 |
| 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 | 862 | 2013 |
| Eann: Event adversarial neural networks for multi-modal fake news detection Y Wang, F Ma, Z Jin, Y Yuan, G Xun, K Jha, L Su, J Gao Proceedings of the 24th acm sigkdd international conference on knowledge …, 2018 | 663 | 2018 |
| Resolving Conflicts in Heterogeneous Data by Truth Discovery and Source Reliability Estimation Q Li, Y Li, J Gao, B Zhao, W Fan, J Han Proceedings of the ACM SIGMOD International Conference on Management of Data …, 2014 | 484 | 2014 |
| Classification and novel class detection in concept-drifting data streams under time constraints M Masud, J Gao, L Khan, J Han, BM Thuraisingham IEEE Transactions on knowledge and data engineering 23 (6), 859-874, 2010 | 470 | 2010 |
| A survey on truth discovery Y Li, J Gao, C Meng, Q Li, L Su, B Zhao, W Fan, J Han ACM Sigkdd Explorations Newsletter 17 (2), 1-16, 2016 | 469 | 2016 |
| A survey on truth discovery Y Li, J Gao, C Meng, Q Li, L Su, B Zhao, W Fan, J Han ACM Sigkdd Explorations Newsletter 17 (2), 1-16, 2016 | 469 | 2016 |
| Knowledge transfer via multiple model local structure mapping J Gao, W Fan, J Jiang, J Han Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 435 | 2008 |
| Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks F Ma, R Chitta, J Zhou, Q You, T Sun, J Gao Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 369 | 2017 |
| A confidence-aware approach for truth discovery on long-tail data Q Li, Y Li, J Gao, L Su, B Zhao, M Demirbas, W Fan, J Han Proceedings of the VLDB Endowment 8 (4), 425-436, 2014 | 360 | 2014 |
| 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 | 357 | 2010 |
| A general framework for mining concept-drifting data streams with skewed distributions J Gao, W Fan, J Han, PS Yu Proc 7th int conf on data mining, SIAM, Philadelphia, PA, 2007 | 326 | 2007 |
| A deep learning approach for detecting traffic accidents from social media data Z Zhang, Q He, J Gao, M Ni Transportation research part C: emerging technologies 86, 580-596, 2018 | 308 | 2018 |
| Graph regularized transductive classification on heterogeneous information networks M Ji, Y Sun, M Danilevsky, J Han, J Gao Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010 | 292 | 2010 |
| Multistep-ahead time series prediction H Cheng, PN Tan, J Gao, J Scripps Advances in Knowledge Discovery and Data Mining: 10th Pacific-Asia …, 2006 | 246 | 2006 |
| Faitcrowd: Fine grained truth discovery for crowdsourced data aggregation F Ma, Y Li, Q Li, M Qiu, J Gao, S Zhi, L Su, B Zhao, H Ji, J Han Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 228 | 2015 |
| Outlier detection for temporal data M Gupta, J Gao, C Aggarwal, J Han Synthesis Lectures on Data Mining and Knowledge Discovery 5 (1), 1-129, 2014 | 227 | 2014 |
| Representation learning for treatment effect estimation from observational data L Yao, S Li, Y Li, M Huai, J Gao, A Zhang Advances in neural information processing systems 31, 2018 | 222 | 2018 |
