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• Discrete Math (Toán rời rạc)
• Statistical inference on graphs
• Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues
• Out-of-sample embedding with proximity data: projection versus restricted reconstruction
• Perturbation analysis of randomized SVD and its applications to high-dimensional statistics
• Classification of high-dimensional data with spiked covariance matrix structure
• A unified framework for community detection and model selection in block models
• Chain-linked multiple matrix integration via embedding alignment
• Novel network trimming for robust vertex nomination in contaminated networks
• Eigenvector fluctuations and limit results for random graphs with infinite rank kernels