Canyi Lu

Latest

• Subspace Clustering by Block Diagonal Representation
• Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm
• A Unified Alternating Direction Method of Multipliers by Majorization Minimization
• Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements
• Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers
• Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization
• Tensor Factorization for Low-Rank Tensor Completion
• Convex Sparse Spectral Clustering: Single-view to Multi-view
• Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting
• Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization
• Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm
• Generalized Singular Value Thresholding
• Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squared Minimization
• Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization
• Generalized Nonconvex Nonsmooth Low-Rank Minimization
• Correlation Adaptive Subspace Segmentation by Trace Lasso
• Correntropy Induced L2 Graph for Robust Subspace Clustering