53 citations · 96 across the 5 of their papers we have counts for
5 papers
Optimization Algorithm Inspired Deep Neural Network Structure Design
Huan Li, Yibo Yang, Dongmin Chen +1
Deep neural networks have been one of the dominant machine learning approaches in recent years. Several new network structures are proposed and have better performance than the tra…
Accelerated Alternating Direction Method of Multipliers: an Optimal Nonergodic Analysis
Huan Li, Zhouchen Lin
The Alternating Direction Method of Multipliers (ADMM) is widely used for linearly constrained convex problems. It is proven to have an nonergodic convergence rate…
Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting
Canyi Lu, Huan Li, Zhouchen Lin +1
The Augmented Lagragian Method (ALM) and Alternating Direction Method of Multiplier (ADMM) have been powerful optimization methods for general convex programming subject to linear…
Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization
Canyi Lu, Huan Li, Zhouchen Lin
Compressed Sensing (CS) is a novel technique for simultaneous signal sampling and compression based on the existence of a sparse representation of signal and a projected dictionary…
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning
Zhouchen Lin, Risheng Liu, Huan Li
Many problems in machine learning and other fields can be (re)for-mulated as linearly constrained separable convex programs. In most of the cases, there are multiple blocks of vari…