Manifold-ranking based image retrieval J He, M Li, HJ Zhang, H Tong, C Zhang Proceedings of the 12th annual ACM international conference on Multimedia, 9-16, 2004 | 561 | 2004 |
Comparing random forest with logistic regression for predicting class-imbalanced civil war onset data D Muchlinski, D Siroky, J He, M Kocher Political Analysis 24 (1), 87-103, 2016 | 323 | 2016 |
Net: Degree-specific graph neural networks for node and graph classification J Wu, J He, J Xu Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 204 | 2019 |
Classification of digital photos taken by photographers or home users H Tong, M Li, HJ Zhang, J He, C Zhang Advances in Multimedia Information Processing-PCM 2004: 5th Pacific Rim …, 2005 | 177 | 2005 |
A graphbased framework for multi-task multi-view learning. J He, R Lawrence ICML, 25-32, 2011 | 161 | 2011 |
Improving traffic prediction with tweet semantics J He, W Shen, P Divakaruni, L Wynter, R Lawrence Twenty-third international joint conference on artificial intelligence, 2013 | 144 | 2013 |
Nearest-neighbor-based active learning for rare category detection J He, J Carbonell Advances in neural information processing systems 20, 2007 | 136 | 2007 |
Graph based multi-modality learning H Tong, J He, M Li, C Zhang, WY Ma Proceedings of the 13th annual ACM international conference on Multimedia …, 2005 | 133 | 2005 |
Inform: Individual fairness on graph mining J Kang, J He, R Maciejewski, H Tong Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 125 | 2020 |
A data-driven graph generative model for temporal interaction networks D Zhou, L Zheng, J Han, J He Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 99 | 2020 |
Diversified ranking on large graphs: an optimization viewpoint H Tong, J He, Z Wen, R Konuru, CY Lin Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 88 | 2011 |
Multi-view transfer learning with a large margin approach D Zhang, J He, Y Liu, L Si, R Lawrence Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 83 | 2011 |
Method and system for wafer quality predictive modeling based on multi-source information with heterogeneous relatedness Y Zhu, J He, RJ Baseman US Patent 9,176,183, 2015 | 81 | 2015 |
A local algorithm for structure-preserving graph cut D Zhou, S Zhang, MY Yildirim, S Alcorn, H Tong, H Davulcu, J He Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 75 | 2017 |
Hidden: hierarchical dense subgraph detection with application to financial fraud detection S Zhang, D Zhou, MY Yildirim, S Alcorn, J He, H Davulcu, H Tong Proceedings of the 2017 SIAM international conference on data mining, 570-578, 2017 | 72 | 2017 |
Sparc: Self-paced network representation for few-shot rare category characterization D Zhou, J He, H Yang, W Fan Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 70 | 2018 |
Learning no-reference quality metric by examples H Tong, M Li, HJ Zhang, C Zhang, J He, WY Ma 11th International Multimedia Modelling Conference, 247-254, 2005 | 66 | 2005 |
Mean version space: a new active learning method for content-based image retrieval J He, H Tong, M Li, HJ Zhang, C Zhang Proceedings of the 6th ACM SIGMM international workshop on Multimedia …, 2004 | 66 | 2004 |
Crowdsourcing via Tensor Augmentation and Completion. Y Zhou, J He IJCAI, 2435-2441, 2016 | 57 | 2016 |
Graph-based semi-supervised learning as a generative model J He, JG Carbonell, Y Liu Carnegie Mellon University, 2007 | 54 | 2007 |