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 | 71 | 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 | 64 | 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, 2022 | 52 | 2022 |
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, 2023 | 49* | 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 | 49 | 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 | 47* | 2022 |
Simvp: Towards simple yet powerful spatiotemporal predictive learning C Tan, Z Gao, S Li, SZ Li arXiv preprint arXiv:2211.12509, 2022 | 46 | 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 | 38 | 2023 |
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 |
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 | 26* | 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 - Thirty-seventh Conference on Neural Information Processing …, 2023 | 25 | 2023 |
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 | 24 | 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 | 22 | 2022 |
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 | 17* | 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 | 16* | 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 | 15 | 2022 |
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 |
KW-Design: Pushing the Limit of Protein Deign via Knowledge Refinement Z Gao, C Tan, X Chen, Y Zhang, J Xia, S Li, SZ Li ICLR 2024 - International Conference on Learning Representations, 2023 | 12* | 2023 |
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 | 12* | 2021 |
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding L Wu, Y Tian, Y Huang, S Li, H Lin, NV Chawla, SZ Li ICLR 2024 - International Conference on Learning Representations, 2024 | 11 | 2024 |