A weighted distance measure based on the fine structure of feature space: application to speaker recognition. - Ren-Hua Wang; Lingshen He; Hiroya Fujisaki (ICASSP, 1990)

Neural Ordinary Differential Equations with Envolutionary Weights. - Lingshen He; Xingyu Xie; Zhouchen Lin (PRCV (1), 2019)

Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability. - Mingjie Li 007; Lingshen He; Zhouchen Lin (ICML, 2020)

PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions. - Zhengyang Shen; Lingshen He; Zhouchen Lin; Jinwen Ma (ICML, 2020)

Efficient Equivariant Network. - Lingshen He; Yuxuan Chen; Zhengyang Shen; Yiming Dong; Yisen Wang 001; Zhouchen Lin (NeurIPS, 2021)

Gauge Equivariant Transformer. - Lingshen He; Yiming Dong; Yisen Wang 001; Dacheng Tao; Zhouchen Lin (NeurIPS, 2021)

Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks. - Lingshen He; Yuxuan Chen; Zhengyang Shen; Yibo Yang; Zhouchen Lin (ICLR, 2023)

Affine Equivariant Networks Based on Differential Invariants. - Yikang Li; Yeqing Qiu; Yuxuan Chen; Lingshen He; Zhouchen Lin (CVPR, 2024)

Efficient learning of Scale-Adaptive Nearly Affine Invariant Networks. - Zhengyang Shen; Yeqing Qiu; Jialun Liu; Lingshen He; Zhouchen Lin (Neural Networks, 2024)