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Linlin Yang
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Publications
- 2023
- [j22]Runqi Wang, Linlin Yang, Hanlin Chen, Wei Wang, David S. Doermann, Baochang Zhang:
Anti-Bandit for Neural Architecture Search. Int. J. Comput. Vis. 131(10): 2682-2698 (2023) - 2022
- [c25]Sicheng Gao, Yutang Feng, Linlin Yang, Xuhui Liu, Zichen Zhu, David S. Doermann, Baochang Zhang:
MagFormer: Hybrid Video Motion Magnification Transformer from Eulerian and Lagrangian Perspectives. BMVC 2022: 444 - [i8]Runqi Wang, Linlin Yang, Baochang Zhang, Wentao Zhu, David S. Doermann, Guodong Guo:
Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation. CoRR abs/2203.09082 (2022) - 2021
- [c15]Junhe Zhao, Linlin Yang, Baochang Zhang, Guodong Guo, David S. Doermann:
Uncertainty-aware Binary Neural Networks. IJCAI 2021: 3441-3447 - 2020
- [c14]Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Rongrong Ji, Guodong Guo:
Cogradient Descent for Bilinear Optimization. CVPR 2020: 7956-7964 - [c11]Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann:
CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs. IJCAI 2020: 1033-1039 - [i4]Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann:
CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks. CoRR abs/2005.00057 (2020) - [i3]Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Guodong Guo, Rongrong Ji:
Cogradient Descent for Bilinear Optimization. CoRR abs/2006.09142 (2020)
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