| Graph U-Nets H Gao, S Ji Proceedings of the 36th International Conference on Machine Learning (ICML …, 2019 | 1770 | 2019 |
| Towards deeper graph neural networks M Liu, H Gao, S Ji Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 816 | 2020 |
| Large-Scale Learnable Graph Convolutional Networks H Gao, Z Wang, S Ji Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 813 | 2018 |
| Pixel Transposed Convolutional Networks H Gao, H Yuan, Z Wang, S Ji IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 | 237* | 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 | 221 | 2018 |
| Topology-aware graph pooling networks H Gao, Y Liu, S Ji IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (12), 4512 …, 2021 | 129 | 2021 |
| 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 | 114 | 2019 |
| 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 | 104 | 2020 |
| Molecular representation learning via heterogeneous motif graph neural networks Z Yu, H Gao International conference on machine learning, 25581-25594, 2022 | 94 | 2022 |
| Dataflow analysis-inspired deep learning for efficient vulnerability detection B Steenhoek, H Gao, W Le Proceedings of the 46th ieee/acm international conference on software …, 2024 | 93 | 2024 |
| 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 | 74 | 2019 |
| Meta-AdaM: An meta-learned adaptive optimizer with momentum for few-shot learning S Sun, H Gao Advances in Neural Information Processing Systems 36, 65441-65455, 2023 | 56 | 2023 |
| Learning graph pooling and hybrid convolutional operations for text representations H Gao, Y Chen, S Ji The world wide web conference, 2743-2749, 2019 | 55 | 2019 |
| Motifexplainer: a motif-based graph neural network explainer Z Yu, H Gao arXiv preprint arXiv:2202.00519, 2022 | 32 | 2022 |
| A global convergence theory for deep relu implicit networks via over-parameterization T Gao, H Liu, J Liu, H Rajan, H Gao arXiv preprint arXiv:2110.05645, 2021 | 29 | 2021 |
| Kronecker attention networks H Gao, Z Wang, S Ji Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 22 | 2020 |
| Adaptive Convolutional ReLUs H Gao, L Cai, S Ji Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 3914-3921, 2020 | 21 | 2020 |
| Wide neural networks as gaussian processes: Lessons from deep equilibrium models T Gao, X Huo, H Liu, H Gao Advances in Neural Information Processing Systems 36, 54918-54951, 2023 | 18 | 2023 |
| Efficient and Invariant Convolutional Neural Networks for Dense Prediction H Gao, S Ji IEEE International Conference on Data Mining (ICDM), 2017 | 18 | 2017 |
| 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 | 17 | 2018 |
Shuiwang Ji, Professor and Truchard...Department of Computer Science & Engineering, Texas A&M UniversityVerified email at tamu.edu
