| AutoMix: Unveiling the Power of Mixup for Stronger Classifiers Z Liu, S Li, D Wu, Z Chen, L Wu, J Guo, SZ Li ECCV 2022 - European Conference on Computer Vision, 2022 | 99 | 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 - Advances in Neural Information Processing Systems, 2023 | 64 | 2023 |
| Efficient 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 - The Eleventh International Conference on Learning Representations, 2022 | 51 | 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 The Twelfth International Conference on Learning Representations, 2023 | 42 | 2023 |
| Harnessing hard mixed samples with decoupled regularizer Z Liu, S Li, G Wang, L Wu, C Tan, SZ Li NeurIPS 2023 - Advances in Neural Information Processing Systems, 2023 | 35* | 2023 |
| Towards reasonable budget allocation in untargeted graph structure attacks via gradient debias Z Liu, Y Luo, L Wu, Z Liu, SZ Li NeurIPS 2022 - Advances in Neural Information Processing Systems, 2023 | 34 | 2023 |
| Nuwa-infinity: Autoregressive over autoregressive generation for infinite visual synthesis J Liang, C Wu, X Hu, Z Gan, J Wang, L Wang, Z Liu, Y Fang, N Duan Advances in Neural Information Processing Systems 35, 15420-15432, 2022 | 32 | 2022 |
| Openmixup: Open mixup toolbox and benchmark for visual representation learning S Li, Z Wang, Z Liu, J Tian, D Wu, C Tan, W Jin, SZ Li arXiv preprint arXiv:2209.04851, 2022 | 30 | 2022 |
| Generalized clustering and multi-manifold learning with geometric structure preservation L Wu, Z Liu, J Xia, Z Zang, S Li, SZ Li Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022 | 30* | 2022 |
| Probabilistic model distillation for semantic correspondence X Li, DP Fan, F Yang, A Luo, H Cheng, Z Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 29 | 2021 |
| 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 | 28 | 2023 |
| Equivariant similarity for vision-language foundation models T Wang, K Lin, L Li, CC Lin, Z Yang, H Zhang, Z Liu, L Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 28 | 2023 |
| MicroNet: Towards image recognition with extremely low FLOPs Y Li, Y Chen, X Dai, D Chen, M Liu, L Yuan, Z Liu, L Zhang, ... arXiv preprint arXiv:2011.12289, 2020 | 27 | 2020 |
| Homophily-enhanced self-supervision for graph structure learning: Insights and directions L Wu, H Lin, Z Liu, Z Liu, Y Huang, SZ Li IEEE Transactions on Neural Networks and Learning Systems, 2023 | 25 | 2023 |
| Mmptrack: Large-scale densely annotated multi-camera multiple people tracking benchmark X Han, Q You, C Wang, Z Zhang, P Chu, H Hu, J Wang, Z Liu Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 24 | 2023 |
| Idea2img: Iterative self-refinement with gpt-4v (ision) for automatic image design and generation Z Yang, J Wang, L Li, K Lin, CC Lin, Z Liu, L Wang arXiv preprint arXiv:2310.08541, 2023 | 22 | 2023 |
| 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 | 22 | 2021 |
| Binary latent diffusion Z Wang, J Wang, Z Liu, Q Qiu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 21 | 2023 |
| Are gradients on graph structure reliable in gray-box attacks? Z Liu, Y Luo, L Wu, S Li, Z Liu, SZ Li Proceedings of the 31st ACM International Conference on Information …, 2022 | 21 | 2022 |
| Mm-narrator: Narrating long-form videos with multimodal in-context learning C Zhang, K Lin, Z Yang, J Wang, L Li, CC Lin, Z Liu, L Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 19 | 2024 |
Stan Z. Li (李子青)Westlake University & CAS Institute of AutomationEmail verificata su westlake.edu.cn