Sensitivity of GLS estimators in random effects models. - Andrey L. Vasnev (J. Multivar. Anal., 2010)

Regularized Flexible Activation Function Combination for Deep Neural Networks. - Renlong Jie; Junbin Gao; Andrey Vasnev; Minh-Ngoc Tran (ICPR, 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 Combinations for Deep Neural Networks. - Renlong Jie; Junbin Gao; Andrey Vasnev; Minh-Ngoc Tran (CoRR, 2020)

Adaptive Multi-level Hyper-gradient Descent. - Renlong Jie; Junbin Gao; Andrey Vasnev; Minh-Ngoc Tran (CoRR, 2020)

Generalized Laplacian Regularized Framelet GCNs. - Zhiqi Shao; Andi Han; Dai Shi; Andrey Vasnev; Junbin Gao (CoRR, 2022)

Adaptive hierarchical hyper-gradient descent. - Renlong Jie; Junbin Gao; Andrey Vasnev; Minh-Ngoc Tran (Int. J. Mach. Learn. Cybern., 2022)

Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification. - Ye Xiao; Ruikun Li 001; Andrey Vasnev; Junbin Gao (IJCNN, 2023)

Enhancing framelet GCNs with generalized p-Laplacian regularization. - Zhiqi Shao; Dai Shi; Andi Han; Andrey Vasnev; Yi Guo 001; Junbin Gao (Int. J. Mach. Learn. Cybern., 2024)

On Leveraging Anomalies with Reference Alignment in Graph-Level Anomaly Detection. - Ye Xiao; Ruikun Li 001; Andrey Vasnev; Junbin Gao (PAKDD (1), 2025)