| Self-supervised learning on graphs: Contrastive, generative, or predictive L Wu, H Lin, C Tan, Z Gao, SZ Li IEEE Transactions on Knowledge and Data Engineering 35 (4), 4216-4235, 2021 | 256 | 2021 |
| A survey on generative diffusion models H Cao, C Tan, Z Gao, Y Xu, G Chen, PA Heng, SZ Li IEEE Transactions on Knowledge and Data Engineering, 2024 | 217 | 2024 |
| Simvp: Simpler yet better video prediction Z Gao, C Tan, L Wu, SZ Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 166 | 2022 |
| PiFold: Toward effective and efficient protein inverse folding Z Gao, C Tan, SZ Li ICLR 2023, 2022 | 79 | 2022 |
| Mole-bert: Rethinking pre-training graph neural networks for molecules J Xia, C Zhao, B Hu, Z Gao, C Tan, Y Liu, S Li, SZ Li ICLR 2023, 2023 | 74 | 2023 |
| Graphmixup: Improving class-imbalanced node classification on graphs by self-supervised context prediction L Wu, H Lin, Z Gao, C Tan, S Li arXiv preprint arXiv:2106.11133, 2021 | 64* | 2021 |
| Conditional local convolution for spatio-temporal meteorological forecasting H Lin, Z Gao, Y Xu, L Wu, L Li, SZ Li Proceedings of the AAAI conference on artificial intelligence 36 (7), 7470-7478, 2022 | 61 | 2022 |
| Temporal attention unit: Towards efficient spatiotemporal predictive learning C Tan, Z Gao, L Wu, Y Xu, J Xia, S Li, SZ Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 55 | 2023 |
| Simvp: Towards simple yet powerful spatiotemporal predictive learning C Tan, Z Gao, S Li, SZ Li arXiv preprint arXiv:2211.12509, 2022 | 49 | 2022 |
| Alphadesign: A graph protein design method and benchmark on alphafolddb Z Gao, C Tan, SZ Li arXiv preprint arXiv:2202.01079, 2022 | 41 | 2022 |
| Global-context aware generative protein design C Tan, Z Gao, J Xia, B Hu, SZ Li ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 39* | 2023 |
| Openstl: A comprehensive benchmark of spatio-temporal predictive learning C Tan, S Li, Z Gao, W Guan, Z Wang, Z Liu, L Wu, SZ Li Advances in Neural Information Processing Systems 36, 69819-69831, 2023 | 28 | 2023 |
| Target-aware molecular graph generation C Tan, Z Gao, SZ Li Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 23 | 2023 |
| Hyperspherical consistency regularization C Tan, Z Gao, L Wu, S Li, SZ Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 22 | 2022 |
| Beyond homophily and homogeneity assumption: Relation-based frequency adaptive graph neural networks L Wu, H Lin, B Hu, C Tan, Z Gao, Z Liu, SZ Li IEEE Transactions on Neural Networks and Learning Systems, 2023 | 19 | 2023 |
| SemiRetro: Semi-template framework boosts deep retrosynthesis prediction Z Gao, C Tan, L Wu, SZ Li arXiv preprint arXiv:2202.08205, 2022 | 15 | 2022 |
| Co-supervised Pre-training of Pocket and Ligand Z Gao, C Tan, J Xia, SZ Li Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 13* | 2023 |
| Proteininvbench: Benchmarking protein inverse folding on diverse tasks, models, and metrics Z Gao, C Tan, Y Zhang, X Chen, L Wu, SZ Li Advances in Neural Information Processing Systems 36, 2024 | 12 | 2024 |
| KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement Z Gao, C Tan, X Chen, Y Zhang, J Xia, S Li, SZ Li The Twelfth International Conference on Learning Representations, 2023 | 12* | 2023 |
| DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraints Z Gao, C Tan, SZ Li arXiv preprint arXiv:2301.09642, 2023 | 11 | 2023 |
Stan Z. Li (李子青)Westlake University & CAS Institute of AutomationVerified email at westlake.edu.cn
