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Risheng Liu
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On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems
Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning
Adaptive Partial Differential Equation Learning for Visual Saliency Detection
Learning Markov Random Walks for Robust Subspace Clustering and Estimation
Linear time Principal Component Pursuit and its extensions using l1 Filtering
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning
Fixed-Rank Representation for Unsupervised Visual Learning
Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation
Toward designing intelligent PDEs for computer vision An optimal control approach
Feature Extraction by Learning Lorentzian Metric Tensor and Its Extensions
Learning PDEs for Image Restoration via Optimal Control
Lorentzian Discriminant Projection and Its Applications
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