| Dropedge: Towards deep graph convolutional networks on node classification Y Rong, W Huang, T Xu, J Huang International Conference on Learning Representations, 2019 | 745 | 2019 |
| Adaptive sampling towards fast graph representation learning W Huang, T Zhang, Y Rong, J Huang Advances in neural information processing systems 31, 4558-4567, 2018 | 378 | 2018 |
| Graph Convolutional Networks for Temporal Action Localization R Zeng, W Huang, M Tan, Y Rong, P Zhao, J Huang, C Gan Proceedings of the IEEE International Conference on Computer Vision, 7094-7103, 2019 | 362 | 2019 |
| Progressive Feature Alignment for Unsupervised Domain Adaptation C Chen, W Xie, W Huang, Y Rong, X Ding, Y Huang, T Xu, J Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 299 | 2019 |
| Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks T Bian, X Xiao, T Xu, P Zhao, W Huang, Y Rong, J Huang Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 549-556, 2020 | 261 | 2020 |
| Graph Representation Learning via Graphical Mutual Information Maximization Z Peng, W Huang, M Luo, Q Zheng, Y Rong, T Xu, J Huang Proceedings of The Web Conference 2020, 259-270, 2020 | 248 | 2020 |
| Self-Supervised Graph Transformer on Large-Scale Molecular Data Y Rong, Y Bian, T Xu, W Xie, Y Wei, W Huang, J Huang Advances in Neural Information Processing Systems 33, 2020 | 241 | 2020 |
| Deep Multimodal Fusion by Channel Exchanging Y Wang, W Huang, F Sun, T Xu, Y Rong, J Huang Advances in Neural Information Processing Systems 33, 2020 | 109 | 2020 |
| A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models H Chang, Y Rong, T Xu, W Huang, H Zhang, P Cui, W Zhu, J Huang | 96 | 2020 |
| Semi-Supervised Graph Classification: A Hierarchical Graph Perspective J Li, Y Rong, H Cheng, H Meng, W Huang, J Huang The World Wide Web Conference, 972-982, 2019 | 95 | 2019 |
| Fedgraphnn: A federated learning system and benchmark for graph neural networks C He, K Balasubramanian, E Ceyani, C Yang, H Xie, L Sun, L He, L Yang, ... arXiv preprint arXiv:2104.07145, 2021 | 69 | 2021 |
| Adversarial Attack on Community Detection by Hiding Individuals J Li, H Zhang, Z Han, Y Rong, H Cheng, J Huang Proceedings of The Web Conference 2020, 917-927, 2020 | 56 | 2020 |
| Graph Information Bottleneck for Subgraph Recognition J Yu, T Xu, Y Rong, Y Bian, J Huang, R He International Conference on Learning Representations (ICLR 2021), 2021 | 49 | 2021 |
| A Monte Carlo algorithm for cold start recommendation Y Rong, X Wen, H Cheng Proceedings of the 23rd international conference on World wide web, 327-336, 2014 | 44 | 2014 |
| Tackling Over-Smoothing for General Graph Convolutional Networks W Huang, Y Rong, T Xu, F Sun, J Huang arXiv preprint arXiv:2008.09864, 2020 | 41 | 2020 |
| Cross-Dependent Graph Neural Networks for Molecular Property Prediction H Ma, Y Bian, Y Rong, W Huang, T Xu, W Xie, G Ye, J Huang Bioinformatics, 2022 | 38* | 2022 |
| Spectral Graph Attention Network with Fast Eigen-approximation H Chang, Y Rong, T Xu, W Huang, S Sojoudi, J Huang, W Zhu Proceedings of the 30th ACM International Conference on Information …, 2021 | 38* | 2021 |
| TATC: Predicting Alzheimer's Disease with Actigraphy Data J Li, Y Rong, H Meng, Z Lu, T Kwok, H Cheng Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 37 | 2018 |
| A model-free approach to infer the diffusion network from event cascade Y Rong, Q Zhu, H Cheng Proceedings of the 25th ACM international on conference on information and …, 2016 | 33 | 2016 |
| Bipartite Graph Neural Networks for Efficient Node Representation Learning C He, T Xie, Y Rong, W Huang, Y Li, J Huang, X Ren, C Shahabi TNNLS Journal - IEEE Transactions on Neural Networks and Learning Systems, 2019 | 30* | 2019 |
Junzhou HuangProfessor of Computer Science and Engineering at the University of Texas at ArlingtonVerified email at uta.edu
