| Self-supervised Learning on Graphs: Contrastive, Generative, or Predictive L Wu, H Lin, C Tan, Z Gao, SZ Li TKDE - IEEE Transactions on Knowledge and Data Engineering, 2021 | 231 | 2021 |
| A Survey on Generative Diffusion Model H Cao, C Tan, Z Gao, Y Xu, G Chen, PA Heng, SZ Li TKDE - IEEE Transactions on Knowledge and Data Engineering, 2022 | 157 | 2022 |
| SimVP: Simpler yet Better Video Prediction Z Gao, C Tan, L Wu, SZ Li CVPR 2022 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 | 133 | 2022 |
| Co-learning: Learning from noisy labels with self-supervision C Tan, J Xia, L Wu, SZ Li ACM MM 2021 - Proceedings of the 29th ACM International Conference on …, 2021 | 94 | 2021 |
| PiFold: Toward Effective and Efficient Protein Inverse Folding Z Gao, C Tan, SZ Li ICLR 2023 - International Conference on Learning Representations, 2023 | 65 | 2023 |
| GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction L Wu, H Lin, Z Gao, C Tan, S Li ECML PKDD 2022 - European Conference on Machine Learning and Principles and …, 2021 | 59* | 2021 |
| 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 - International Conference on Learning Representations, 2023 | 51 | 2023 |
| Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning C Tan, Z Gao, S Li, Y Xu, SZ Li CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023 | 40 | 2023 |
| Global-Context Aware Generative Protein Design C Tan, Z Gao, J Xia, B Hu, SZ Li ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal …, 2023 | 38* | 2023 |
| Alphadesign: A graph protein design method and benchmark on alphafolddb Z Gao, C Tan, SZ Li arXiv preprint arXiv:2202.01079, 2022 | 38 | 2022 |
| MogaNet: Multi-order Gated Aggregation Network S Li, Z Wang, Z Liu, C Tan, H Lin, D Wu, Z Chen, J Zheng, SZ Li ICLR 2024 - International Conference on Learning Representation, 2024 | 35* | 2024 |
| SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning C Tan, Z Gao, SZ Li arXiv preprint arXiv:2211.12509, 2022 | 32 | 2022 |
| Openmixup: Open mixup toolbox and benchmark for visual representation learning S Li, Z Wang, Z Liu, D Wu, C Tan, W Jin, SZ Li arXiv preprint arXiv:2209.04851, 2022 | 29* | 2022 |
| CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment J Zheng, Y Wang, C Tan, S Li, G Wang, J Xia, Y Chen, SZ Li CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023 | 27 | 2023 |
| Harnessing hard mixed samples with decoupled regularizer Z Liu, S Li, G Wang, L Wu, C Tan, SZ Li NeurIPS 2023 - Neural Information Processing Systems, 2023 | 24* | 2023 |
| Target-aware Molecular Graph Generation C Tan, Z Gao, SZ Li ECML PKDD 2023 - European Conference on Machine Learning and Principles and …, 2022 | 23 | 2022 |
| Protein language models and structure prediction: Connection and progression B Hu, J Xia, J Zheng, C Tan, Y Huang, Y Xu, SZ Li arXiv preprint arXiv:2211.16742, 2022 | 19 | 2022 |
| Hyperspherical Consistency Regularization C Tan, Z Gao, L Wu, S Li, SZ Li CVPR 2022 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 | 19 | 2022 |
| 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 NeurIPS 2023 - Neural Information Processing Systems Datasets and Benchmarks …, 2023 | 16 | 2023 |
| Towards effective and generalizable fine-tuning for pre-trained molecular graph models J Xia, J Zheng, C Tan, G Wang, SZ Li bioRxiv, 2022.02. 03.479055, 2022 | 16 | 2022 |
Stan Z. Li (李子青)Westlake University & CAS Institute of Automation在 westlake.edu.cn 的电子邮件经过验证
