| Pdo-econvs: Partial differential operator based equivariant convolutions Z Shen, L He, Z Lin, J Ma International Conference on Machine Learning, 8697-8706, 2020 | 53 | 2020 |
| Implicit Euler skip connections: Enhancing adversarial robustness via numerical stability M Li, L He, Z Lin International Conference on Machine Learning, 5874-5883, 2020 | 44 | 2020 |
| Gauge equivariant transformer L He, Y Dong, Y Wang, D Tao, Z Lin Advances in Neural Information Processing Systems 34, 27331-27343, 2021 | 41 | 2021 |
| Efficient equivariant network L He, Y Chen, Y Dong, Y Wang, Z Lin Advances in Neural Information Processing Systems 34, 5290-5302, 2021 | 30 | 2021 |
| Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks L He, Y Chen, Z Shen, Y Yang, Z Lin The Eleventh International Conference on Learning Representations(spotlight), 2023 | 8 | 2023 |
| Affine equivariant networks based on differential invariants Y Li, Y Qiu, Y Chen, L He, Z Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
| Efficient learning of Scale-Adaptive Nearly Affine Invariant Networks Z Shen, Y Qiu, J Liu, L He, Z Lin Neural Networks 174, 106229, 2024 | 1 | 2024 |
| Neural Ordinary Differential Equations with Envolutionary Weights L He, X Xie, Z Lin Pattern Recognition and Computer Vision: Second Chinese Conference, PRCV …, 2019 | | 2019 |
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR, CSIG & AAIA; ex-VP of Samsung Research在 pku.edu.cn 的電子郵件地址已通過驗證
