| Practical lessons from predicting clicks on ads at facebook X He, J Pan, O Jin, T Xu, B Liu, T Xu, Y Shi, A Atallah, R Herbrich, ... Proceedings of the eighth international workshop on data mining for online …, 2014 | 723 | 2014 |
| Influence blocking maximization in social networks under the competitive linear threshold model X He, G Song, W Chen, Q Jiang Proceedings of the 2012 siam international conference on data mining, 463-474, 2012 | 433 | 2012 |
| Dyngem: Deep embedding method for dynamic graphs P Goyal, N Kamra, X He, Y Liu arXiv preprint arXiv:1805.11273, 2018 | 232 | 2018 |
| Robust Influencer Maximization X He, D Kempe Proceedings of the 22Nd ACM SIGKDD International Conference on Knowledge …, 2016 | 175 | 2016 |
| Glad: group anomaly detection in social media analysis R Yu, X He, Y Liu ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (2), 1-22, 2015 | 155 | 2015 |
| Hawkestopic: A joint model for network inference and topic modeling from text-based cascades X He, T Rekatsinas, J Foulds, L Getoor, Y Liu International conference on machine learning, 871-880, 2015 | 107 | 2015 |
| Influential node tracking on dynamic social network: An interchange greedy approach G Song, Y Li, X Chen, X He, J Tang IEEE Transactions on Knowledge and Data Engineering 29 (2), 359-372, 2016 | 66 | 2016 |
| Stability of influence maximization X He, D Kempe Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 63 | 2014 |
| mvn2vec: Preservation and collaboration in multi-view network embedding Y Shi, F Han, X He, X He, C Yang, J Luo, J Han arXiv preprint arXiv:1801.06597, 2018 | 48 | 2018 |
| Learning influence functions from incomplete observations X He, K Xu, D Kempe, Y Liu Advances in Neural Information Processing Systems 29, 2016 | 36 | 2016 |
| On influential nodes tracking in dynamic social networks X Chen, G Song, X He, K Xie Proceedings of the 2015 SIAM International Conference on Data Mining, 613-621, 2015 | 34 | 2015 |
| Price of anarchy for the n-player competitive cascade game with submodular activation functions X He, D Kempe International Conference on Web and Internet Economics, 232-248, 2013 | 30 | 2013 |
| DECADE: a deep metric learning model for multivariate time series Z Che, X He, K Xu, Y Liu KDD workshop on mining and learning from time series, 2017 | 23 | 2017 |
| et almbox. 2014. Practical lessons from predicting clicks on ads at facebook X He, J Pan, O Jin, T Xu, B Liu, T Xu, Y Shi, A Atallah, R Herbrich, ... Proceedings of the Eighth International Workshop on Data Mining for Online …, 0 | 20 | |
| Stability and robustness in influence maximization X He, D Kempe ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (6), 1-34, 2018 | 18 | 2018 |
| Model selection for topic models via spectral decomposition D Cheng, X He, Y Liu Artificial Intelligence and Statistics, 183-191, 2015 | 18 | 2015 |
| Not enough data? Joint inferring multiple diffusion networks via network generation priors X He, Y Liu Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017 | 14 | 2017 |
| JQ n X He, J Pan, O Jin, T Xu, B Liu, T Xu, Y Shi, A Atallah, R Herbrich, ... Candela. Practical lessons from predicting clicks on ads at facebook. ADKDD, 5, 2014 | 12 | 2014 |
| et almbox.. 2014 X He, J Pan, O Jin, T Xu, B Liu, T Xu, Y Shi, A Atallah, R Herbrich, ... Practical lessons from predicting clicks on ads at facebook Proceedings of …, 0 | 7 | |
| Learning and optimization with submodular functions B Sankaran, M Ghazvininejad, X He, D Kale, L Cohen arXiv preprint arXiv:1505.01576, 2015 | 2 | 2015 |
Yan LiuProfessor, Computer ScienceVerified email at usc.edu
