| Large-scale learnable graph convolutional networks H Gao, Z Wang, S Ji Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 732 | 2018 |
| Self-supervised learning of graph neural networks: A unified review Y Xie, Z Xu, J Zhang, Z Wang, S Ji IEEE transactions on pattern analysis and machine intelligence 45 (2), 2412-2429, 2022 | 459 | 2022 |
| Smoothed dilated convolutions for improved dense prediction Z Wang, S Ji Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 224 | 2018 |
| Non-local U-Nets for Biomedical Image Segmentation Z Wang, N Zou, D Shen, S Ji Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020 | 221 | 2020 |
| Non-local graph neural networks M Liu, Z Wang, S Ji IEEE transactions on pattern analysis and machine intelligence 44 (12 …, 2021 | 205 | 2021 |
| Pixel Transposed Convolutional Networks H Gao, H Yuan, Z Wang, S Ji IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 | 203* | 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 | 185 | 2018 |
| Advanced graph and sequence neural networks for molecular property prediction and drug discovery Z Wang, M Liu, Y Luo, Z Xu, Y Xie, L Wang, L Cai, S Ji arXiv preprint arXiv:2012.01981, 2020 | 128 | 2020 |
| Noise2same: Optimizing a self-supervised bound for image denoising Y Xie, Z Wang, S Ji Advances in neural information processing systems 33, 20320-20330, 2020 | 116 | 2020 |
| ChannelNets: Compact and efficient convolutional neural networks via channel-wise convolutions H Gao, Z Wang, S Ji IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 | 99 | 2020 |
| Second-Order Pooling for Graph Neural Networks Z Wang, S Ji IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 | 98 | 2020 |
| Scott: Self-consistent chain-of-thought distillation P Wang, Z Wang, Z Li, Y Gao, B Yin, X Ren arXiv preprint arXiv:2305.01879, 2023 | 96 | 2023 |
| Global pixel transformers for virtual staining of microscopy images Y Liu, H Yuan, Z Wang, S Ji IEEE Transactions on Medical Imaging 39 (6), 2256-2266, 2020 | 45 | 2020 |
| Global voxel transformer networks for augmented microscopy Z Wang, Y Xie, S Ji Nature Machine Intelligence, 2021 | 43 | 2021 |
| Amazon-m2: A multilingual multi-locale shopping session dataset for recommendation and text generation W Jin, H Mao, Z Li, H Jiang, C Luo, H Wen, H Han, H Lu, Z Wang, R Li, ... Advances in Neural Information Processing Systems 36, 8006-8026, 2023 | 42 | 2023 |
| Computational modeling of cellular structures using conditional deep generative networks H Yuan, L Cai, Z Wang, X Hu, S Zhang, S Ji Bioinformatics 35 (12), 2141-2149, 2019 | 33 | 2019 |
| Cordel: A contrastive deep learning approach for entity linkage Z Wang, B Sisman, H Wei, XL Dong, S Ji 2020 IEEE International Conference on Data Mining (ICDM), 1322-1327, 2020 | 29 | 2020 |
| Learning convolutional text representations for visual question answering Z Wang, S Ji Proceedings of the 2018 SIAM international conference on data mining, 594-602, 2018 | 20 | 2018 |
| Kronecker attention networks H Gao, Z Wang, S Ji Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 18 | 2020 |
| iCapsNets: Towards Interpretable Capsule Networks for Text Classification Z Wang, X Hu, S Ji https://arxiv.org/abs/2006.00075, 2020 | 17 | 2020 |
Shuiwang Ji, Professor and Truchard...Department of Computer Science & Engineering, Texas A&M University在 tamu.edu 的電子郵件地址已通過驗證
