| 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 | 71 | 2022 |
| 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 | 39 | 2022 |
| 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 | 26* | 2023 |
| 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 | 26* | 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 Dataset Track, 2023 | 25 | 2023 |
| Openmixup: Open mixup toolbox and benchmark for visual representation learning S Li, Z Wang, Z Liu, D Wu, SZ Li arXiv preprint arXiv:2209.04851, 2022 | 24 | 2022 |
| 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 | 20 | 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 | 20 | 2021 |
| 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 | 18 | 2022 |
| 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 | 16 | 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 | 15 | 2022 |
| 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 | 14 | 2023 |
| 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 | 13 | 2023 |
| SA-VQA: Structured alignment of visual and semantic representations for visual question answering P Xiong, Q You, P Yu, Z Liu, Y Wu arXiv preprint arXiv:2201.10654, 2022 | 11 | 2022 |
| Weak NAS Predictor Is All You Need J Wu, X Dai, D Chen, Y Chen, M Liu, Y Yu, Z Wang, Z Liu, M Chen, ... | 11 | 2021 |
| Florence: A new foundation model for computer vision. arXiv 2021 L Yuan, D Chen, YL Chen, N Codella, X Dai, J Gao, H Hu, X Huang, B Li, ... arXiv preprint arXiv:2111.11432, 2021 | 10 | 2021 |
| Mpt: Mesh pre-training with transformers for human pose and mesh reconstruction K Lin, CC Lin, L Liang, Z Liu, L Wang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 8 | 2024 |
| The overlooked classifier in human-object interaction recognition Y Jin, Y Chen, L Wang, J Wang, P Yu, L Liang, JN Hwang, Z Liu arXiv preprint arXiv:2203.05676, 2022 | 8 | 2022 |
| Genurl: A general framework for unsupervised representation learning S Li, Z Liu, Z Zang, D Wu, Z Chen, SZ Li IEEE Transactions on Neural Networks and Learning Systems, 2023 | 7 | 2023 |
| Psc-cpi: Multi-scale protein sequence-structure contrasting for efficient and generalizable compound-protein interaction prediction L Wu, Y Huang, C Tan, Z Gao, B Hu, H Lin, Z Liu, SZ Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 310-319, 2024 | 6 | 2024 |
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
