| AutoMix: Unveiling the Power of Mixup for Stronger Classifiers Z Liu*, S Li*, D Wu, Z Liu, Z Chen, L Wu, SZ Li ECCV 2022 - European Conference on Computer Vision, 441–458, 2021 | 65 | 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 - The Eleventh International Conference on Learning Representations, 2023 | 51 | 2023 |
| Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning Z Zhang, W Chen, H Cheng, Z Li, S Li, L Lin, G Li NeurIPS 2022 - Advances in Neural Information Processing Systems, 2022 | 42 | 2022 |
| 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, 2022 | 40 | 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 Representations, 2022 | 35* | 2022 |
| SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning C Tan*, Z Gao*, S Li*, 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, T Cheng, J Weiyang, 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 - Thirty-seventh Conference on Neural Information Processing …, 2023 | 24* | 2023 |
| Architecture-Agnostic Masked Image Modeling--From ViT back to CNN S Li*, D Wu*, F Wu, Z Zang, SZ Li ICML 2023 - International Conference on Machine Learning 202, 20149-20167, 2022 | 24 | 2022 |
| DLME: Deep Local-flatness Manifold Embedding Z Zang*, S Li*, D Wu, G Wang, L Shang, B Sun, H Li, SZ Li ECCV 2022 - European Conference on Computer Vision, 576–592, 2022 | 21 | 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 |
| Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup S Li*, Z Liu*, Z Wang*, D Wu, Z Liu, SZ Li arXiv preprint arXiv:2111.15454, 2021 | 19 | 2021 |
| 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 - Thirty-seventh Conference on Neural Information Processing …, 2023 | 16 | 2023 |
| Exploring Localization for Self-supervised Fine-grained Contrastive Learning D Wu*, S Li*, Z Zang, SZ Li BMVC 2022 - British Machine Vision Conference, 1-15, 2021 | 15* | 2021 |
| GNN Cleaner: Label Cleaner for Graph Structured Data J Xia, H Lin, Y Xu, C Tan, L Wu, S Li, SZ Li TKDE 2023 - IEEE Transactions on Knowledge and Data Engineering, 1-12, 2023 | 14* | 2023 |
| Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation L Wu, Z Liu, J Xia, Z Zang, S Li, SZ Li WACV 2022 - IEEE/CVF Winter Conference on Applications of Computer Vision …, 2022 | 14* | 2022 |
| Are Gradients on Graph Structure Reliable in Gray-box Attacks? Z Liu, Y Luo, L Wu, S Li, Z Liu, SZ Li CIKM 2022 - The Conference on Information and Knowledge Management, 2022 | 13 | 2022 |
| neuro2vec: Masked fourier spectrum prediction for neurophysiological representation learning D Wu, S Li, J Yang, M Sawan arXiv preprint arXiv:2204.12440, 2022 | 11 | 2022 |
| Deep Manifold Embedding of Attributed Graphs Z Zang, S Li, D Wu, J Guo, Y Xu, SZ Li Neurocomputing, 2022 514 (C01), 83–93, 2021 | 11* | 2021 |
Cheng TanZhejiang University & Westlake University在 westlake.edu.cn 的电子邮件经过验证
