Follow
Lingshen He
Lingshen He
Peking University
Verified email at pku.edu.cn
Title
Cited by
Cited by
Year
Pdo-econvs: Partial differential operator based equivariant convolutions
Z Shen, L He, Z Lin, J Ma
International Conference on Machine Learning, 8697-8706, 2020
402020
Implicit euler skip connections: Enhancing adversarial robustness via numerical stability
M Li, L He, Z Lin
International Conference on Machine Learning, 5874-5883, 2020
352020
Gauge equivariant transformer
L He, Y Dong, Y Wang, D Tao, Z Lin
Advances in Neural Information Processing Systems 34, 27331-27343, 2021
272021
Efficient equivariant network
L He, Y Chen, Y Dong, Y Wang, Z Lin
Advances in Neural Information Processing Systems 34, 5290-5302, 2021
182021
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, 2023
22023
Efficient learning of Scale-Adaptive Nearly Affine Invariant Networks
Z Shen, Y Qiu, J Liu, L He, Z Lin
Neural Networks 174, 106229, 2024
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
The system can't perform the operation now. Try again later.
Articles 1–7