| 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 | 567* | 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 | 389 | 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 | 277 | 2019 |
| 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 | 197 | 2020 |
| Classification of digital photos taken by photographers or home users H Tong, M Li, HJ Zhang, J He, C Zhang Pacific-Rim Conference on Multimedia, 198-205, 2004 | 189 | 2004 |
| A graphbased framework for multi-task multi-view learning. J He, R Lawrence ICML, 25-32, 2011 | 169 | 2011 |
| Improving Traffic Prediction with Tweet Semantics. J He, W Shen, P Divakaruni, L Wynter, R Lawrence IJCAI, 1387-1393, 2013 | 151 | 2013 |
| 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 | 145 | 2020 |
| 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 | 140 | 2005 |
| Nearest-neighbor-based active learning for rare category detection J He, J Carbonell Advances in neural information processing systems 20, 2007 | 134 | 2007 |
| 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 | 104 | 2017 |
| 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 | 97 | 2015 |
| Augmentations in hypergraph contrastive learning: Fabricated and generative T Wei, Y You, T Chen, Y Shen, J He, Z Wang Advances in neural information processing systems 35, 1909-1922, 2022 | 90 | 2022 |
| 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 | 88 | 2011 |
| 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 |
| 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 | 87 | 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 | 83 | 2018 |
| Sdg: A simplified and dynamic graph neural network D Fu, J He Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 77 | 2021 |
| Non-iid transfer learning on graphs J Wu, J He, E Ainsworth Proceedings of the AAAI conference on artificial intelligence 37 (9), 10342 …, 2023 | 73 | 2023 |
| 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 | 69 | 2005 |
Hanghang TongUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
