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2020 – today
- 2024
[j1]Zhengyang Shen, Yeqing Qiu
, Jialun Liu, Lingshen He, Zhouchen Lin:
Efficient learning of Scale-Adaptive Nearly Affine Invariant Networks. Neural Networks 174: 106229 (2024)- [c8]Yikang Li, Yeqing Qiu, Yuxuan Chen, Lingshen He, Zhouchen Lin:
Affine Equivariant Networks Based on Differential Invariants. CVPR 2024: 5546-5556 - 2023
- [c7]Lingshen He, Yuxuan Chen, Zhengyang Shen, Yibo Yang, Zhouchen Lin:
Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks. ICLR 2023 - 2021
- [c6]Lingshen He, Yuxuan Chen, Zhengyang Shen, Yiming Dong, Yisen Wang, Zhouchen Lin:
Efficient Equivariant Network. NeurIPS 2021: 5290-5302 - [c5]Lingshen He, Yiming Dong, Yisen Wang, Dacheng Tao, Zhouchen Lin:
Gauge Equivariant Transformer. NeurIPS 2021: 27331-27343 - 2020
- [c4]Mingjie Li, Lingshen He, Zhouchen Lin:
Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability. ICML 2020: 5874-5883 - [c3]Zhengyang Shen, Lingshen He, Zhouchen Lin, Jinwen Ma:
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions. ICML 2020: 8697-8706 - [i1]Zhengyang Shen, Lingshen He, Zhouchen Lin, Jinwen Ma:
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions. CoRR abs/2007.10408 (2020)
2010 – 2019
- 2019
- [c2]Lingshen He, Xingyu Xie, Zhouchen Lin:
Neural Ordinary Differential Equations with Envolutionary Weights. PRCV (1) 2019: 598-610
1990 – 1999
- 1990
- [c1]Ren-Hua Wang, Lingshen He, Hiroya Fujisaki:
A weighted distance measure based on the fine structure of feature space: application to speaker recognition. ICASSP 1990: 273-276
Coauthor Index
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