| A Survey on Generative Diffusion Model H Cao, C Tan, Z Gao, Y Xu, G Chen, PA Heng, SZ Li TKDE, 2022 | 417 | 2022 |
| Self-supervised Learning on Graphs: Contrastive, Generative, or Predictive L Wu, H Lin, C Tan, Z Gao, SZ Li TKDE, 2021 | 325 | 2021 |
| SimVP: Simpler yet Better Video Prediction Z Gao, C Tan, L Wu, SZ Li CVPR 2022, 2022 | 276 | 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 | 136 | 2023 |
| Co-learning: Learning from noisy labels with self-supervision C Tan, J Xia, L Wu, SZ Li ACM MM 2021 (Oral), 2021 | 125 | 2021 |
| Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning C Tan, Z Gao, S Li, Y Xu, SZ Li CVPR 2023, 2023 | 118 | 2023 |
| PiFold: Toward Effective and Efficient Protein Inverse Folding Z Gao, C Tan, SZ Li ICLR 2023 (Spotlight), 2023 | 118 | 2023 |
| 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, 2024 | 90* | 2024 |
| 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, 2021 | 85* | 2021 |
| SimVPv2: Towards Simple yet Powerful Spatiotemporal Predictive Learning C Tan, Z Gao, S Li, SZ Li TMM, 2022 | 81 | 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 (Oral), 2023 | 74 | 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 NeurIPS 2023, 2023 | 64 | 2023 |
| Alphadesign: A graph protein design method and benchmark on alphafolddb Z Gao, C Tan, SZ Li arXiv preprint arXiv:2202.01079, 2022 | 54 | 2022 |
| Global-Context Aware Generative Protein Design C Tan, Z Gao, J Xia, B Hu, SZ Li ICASSP 2023, 2023 | 52* | 2023 |
| CONVERT: Contrastive Graph Clustering with Reliable Augmentation X Yang, C Tan, Y Liu, K Liang, S Wang, S Zhou, J Xia, SZ Li, X Liu, E Zhu ACM MM 2023, 2023 | 39 | 2023 |
| 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 | 37* | 2022 |
| Harnessing hard mixed samples with decoupled regularizer Z Liu, S Li, G Wang, L Wu, C Tan, SZ Li NeurIPS 2023, 2023 | 35* | 2023 |
| 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 | 32 | 2022 |
| Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions J Xia, L Zhang, X Zhu, Y Liu, Z Gao, B Hu, C Tan, J Zheng, S Li, SZ Li NeurIPS 2023, 2023 | 30* | 2023 |
| GNN Cleaner: Label Cleaner for Graph Structured Data J Xia, H Lin, Y Xu, C Tan, L Wu, S Li, SZ Li TKDE, 2023 | 29* | 2023 |
Stan Z. Li (李子青)Westlake University & CAS Institute of AutomationVerified email at westlake.edu.cn