Andrey Vasnev

According to our database, Andrey Vasnev authored at least 10 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

On Leveraging Anomalies with Reference Alignment in Graph-Level Anomaly Detection.

Ye Xiao, Ruikun Li, Andrey Vasnev, Junbin Gao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

2024

Enhancing framelet GCNs with generalized p-Laplacian regularization.

Zhiqi Shao, Dai Shi, Andi Han, Andrey Vasnev, Yi Guo, Junbin Gao

Int. J. Mach. Learn. Cybern., April, 2024

2023

Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification.

Ye Xiao, Ruikun Li, Andrey Vasnev, Junbin Gao

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Adaptive hierarchical hyper-gradient descent.

Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran

Int. J. Mach. Learn. Cybern., 2022

Generalized Laplacian Regularized Framelet GCNs.

Zhiqi Shao, Andi Han, Dai Shi, Andrey Vasnev, Junbin Gao

CoRR, 2022

2020

Adaptive Multi-level Hyper-gradient Descent.

Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran

CoRR, 2020

Regularized Flexible Activation Function Combinations for Deep Neural Networks.

Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran

CoRR, 2020

HyperTube: A Framework for Population-Based Online Hyperparameter Optimization with Resource Constraints.

Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran

IEEE Access, 2020

Regularized Flexible Activation Function Combination for Deep Neural Networks.

Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2010

Sensitivity of GLS estimators in random effects models.

Andrey L. Vasnev

J. Multivar. Anal., 2010