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2020 – today
- 2024
[j4]Zhiqi Shao
, Dai Shi, Andi Han, Andrey Vasnev, Yi Guo, Junbin Gao:
Enhancing framelet GCNs with generalized p-Laplacian regularization. Int. J. Mach. Learn. Cybern. 15(4): 1553-1573 (2024)- 2023
- [c2]Ye Xiao, Ruikun Li, Andrey Vasnev, Junbin Gao:
Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification. IJCNN 2023: 1-8 - 2022
- [j3]Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
Adaptive hierarchical hyper-gradient descent. Int. J. Mach. Learn. Cybern. 13(12): 3785-3805 (2022) - [i3]Zhiqi Shao, Andi Han, Dai Shi, Andrey Vasnev, Junbin Gao:
Generalized Laplacian Regularized Framelet GCNs. CoRR abs/2210.15092 (2022) - 2020
- [j2]Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
HyperTube: A Framework for Population-Based Online Hyperparameter Optimization with Resource Constraints. IEEE Access 8: 69038-69057 (2020) - [c1]Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
Regularized Flexible Activation Function Combination for Deep Neural Networks. ICPR 2020: 2001-2008 - [i2]Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
Regularized Flexible Activation Function Combinations for Deep Neural Networks. CoRR abs/2007.13101 (2020) - [i1]Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
Adaptive Multi-level Hyper-gradient Descent. CoRR abs/2008.07277 (2020)
2010 – 2019
- 2010
- [j1]Andrey L. Vasnev:
Sensitivity of GLS estimators in random effects models. J. Multivar. Anal. 101(5): 1252-1262 (2010)
Coauthor Index
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