| Graph U-Nets H Gao, S Ji Proceedings of the 36th International Conference on Machine Learning (ICML …, 2019 | 368 | 2019 |
| Large-Scale Learnable Graph Convolutional Networks H Gao, Z Wang, S Ji Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 296 | 2018 |
| Towards deeper graph neural networks M Liu, H Gao, S Ji Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 67 | 2020 |
| Pixel Transposed Convolutional Networks H Gao, H Yuan, Z Wang, S Ji IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 | 67* | 2019 |
| Deep adversarial learning for multi-modality missing data completion L Cai, Z Wang, H Gao, D Shen, S Ji Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 43 | 2018 |
| ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions H Gao, Z Wang, L Cai, S Ji IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 | 40 | 2020 |
| Graph Representation Learning via Hard and Channel-Wise Attention Networks H Gao, S Ji Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 26 | 2019 |
| Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation L Cai, H Gao, S Ji The SIAM International Conference on Data Mining (SDM), 2019 | 22 | 2019 |
| Learning graph pooling and hybrid convolutional operations for text representations H Gao, Y Chen, S Ji The World Wide Web Conference, 2743-2749, 2019 | 16 | 2019 |
| Voxel Deconvolutional Networks for 3D Brain Image Labeling Y Chen, H Gao, L Cai, M Shi, D Shen, S Ji Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 10 | 2018 |
| Efficient and Invariant Convolutional Neural Networks for Dense Prediction H Gao, S Ji IEEE International Conference on Data Mining (ICDM), 2017 | 9 | 2017 |
| Topology-aware graph pooling networks H Gao, Y Liu, S Ji IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 7 | 2021 |
| Kronecker attention networks H Gao, Z Wang, S Ji Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 4 | 2020 |
| Adaptive Convolutional ReLUs H Gao, L Cai, S Ji Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 3914-3921, 2020 | 3 | 2020 |
| Lightweight identity-based broadcast encryption over wireless ad hoc Networks C Yuan, H Gao, W Zhou 2011 7th International Conference on Wireless Communications, Networking and …, 2011 | 2 | 2011 |
| A Mathematical View of Attention Models in Deep Learning S Ji, Y Xie, H Gao Texas A&M University, 2019 | 1 | 2019 |
| Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence H Gao, Y Liu, X Zhang, S Ji arXiv preprint arXiv:2103.08387, 2021 | | 2021 |
| Weighted Line Graph Convolutional Networks H Gao, S Ji | | 2020 |
| Teleport Graph Convolutional Networks H Gao, S Ji | | 2020 |
| Graph Neural Networks: A Feature and Structure Learning Approach H Gao | | 2020 |
Shuiwang Ji, ProfessorDepartment of Computer Science & Engineering, Texas A&M UniversityVerified email at tamu.edu
