| Spherical message passing for 3D molecular graphs Y Liu, L Wang, M Liu, X Zhang, B Oztekin, S Ji International Conference on Learning Representations 2022, 2022 | 256* | 2022 |
| Dig: A turnkey library for diving into graph deep learning research M Liu, Y Luo, L Wang, Y Xie, H Yuan, S Gui, H Yu, Z Xu, J Zhang, Y Liu, ... Journal of Machine Learning Research 22 (240), 1-9, 2021 | 121* | 2021 |
| Topology-aware graph pooling networks H Gao*, Y Liu*, S Ji IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (12), 4512 …, 2021 | 83 | 2021 |
| Periodic Graph Transformers for Crystal Material Property Prediction K Yan, Y Liu*, Y Lin, S Ji* Neural Information Processing Systems 2022, 2022 | 71 | 2022 |
| ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs L Wang*, Y Liu*, Y Lin, H Liu, S Ji Neural Information Processing Systems 2022, 2022 | 65 | 2022 |
| Artificial intelligence for science in quantum, atomistic, and continuum systems X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ... arXiv preprint arXiv:2307.08423, 2023 | 64 | 2023 |
| Deep learning of high-order interactions for protein interface prediction Y Liu, H Yuan, L Cai, S Ji Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 61 | 2020 |
| Machine Learning Explanations to Prevent Overtrust in Fake News Detection S Mohseni, F Yang, S Pentyala, M Du, Y Liu, N Lupfer, X Hu, S Ji, ... International AAAI Conference on Web and Social Media (ICWSM 2021), 2020 | 48 | 2020 |
| Learning Hierarchical Protein Representations via Complete 3D Graph Networks L Wang*, H Liu*, Y Liu*, J Kurtin, S Ji The Eleventh International Conference on Learning Representations, 0 | 44* | |
| 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 | 40 | 2020 |
| Efficient approximations of complete interatomic potentials for crystal property prediction Y Lin, K Yan, Y Luo, Y Liu, X Qian, S Ji International Conference on Machine Learning, 21260-21287, 2023 | 18 | 2023 |
| CleftNet: augmented deep learning for synaptic cleft detection from brain electron microscopy Y Liu, S Ji IEEE transactions on medical imaging 40 (12), 3507-3518, 2021 | 13 | 2021 |
| Trust Evolution Over Time in Explainable AI for Fake News Detection ER Sina Mohseni, Fan Yang, Shiva Pentyala, Mengnan Du, Yi Liu, Nic Lupfer ... CHI 2020 Workshop on Fair & Responsible AI, 2020 | 7* | 2020 |
| Learning local and global multi-context representations for document classification Y Liu, H Yuan, S Ji 2019 IEEE International Conference on Data Mining (ICDM), 1234-1239, 2019 | 7 | 2019 |
| A multi-stage attentive transfer learning framework for improving COVID-19 diagnosis Y Liu, S Ji arXiv preprint arXiv:2101.05410, 2021 | 6 | 2021 |
| Frontiers of Graph Neural Networks with DIG S Ji, M Liu, Y Liu, Y Luo, L Wang, Y Xie, Z Xu, H Yu Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | | 2022 |
Shuiwang Ji, Professor and Presidenti...Department of Computer Science & Engineering, Texas A&M University在 tamu.edu 的电子邮件经过验证
