3 citations · 4 across the 2 of their papers we have counts for
8 papers · 1 filter
Gradient Properties of Hard Thresholding Operator
Saeed Damadi, Jinglai Shen
Sparse optimization receives increasing attention in many applications such as compressed sensing, variable selection in regression problems, and recently neural network compressio…
Nonconvex, Fully Distributed Optimization based CAV Platooning Control under Nonlinear Vehicle Dynamics
Jinglai Shen, Eswar Kumar H. Kammara, Lili Du
CAV platooning technology has received considerable attention in the past few years, driven by the next generation smart transportation systems. Unlike most of the existing platoon…
A Penalty Decomposition Algorithm with Greedy Improvement for Mean-Reverting Portfolios with Sparsity and Volatility Constraints
Ahmad Mousavi, Jinglai Shen
Mean-reverting portfolios with few assets, but high variance, are of great interest for investors in financial markets. Such portfolios are straightforwardly profitable because the…
Fully Distributed Optimization based CAV Platooning Control under Linear Vehicle Dynamics
Jinglai Shen, Eswar Kumar H. Kammara, Lili Du
This paper develops distributed optimization based, platoon centered CAV car following schemes, motivated by the recent interest in CAV platooning technologies. Various distributed…
Column Partition based Distributed Algorithms for Coupled Convex Sparse Optimization: Dual and Exact Regularization Approaches
Jinglai Shen, Jianghai Hu, Eswar Kumar Hathibelagal Kammara
This paper develops column partition based distributed schemes for a class of large-scale convex sparse optimization problems, e.g., basis pursuit (BP), LASSO, basis pursuit denosi…
Exact Support and Vector Recovery of Constrained Sparse Vectors via Constrained Matching Pursuit
Jinglai Shen, Seyedahmad Mousavi
Matching pursuit, especially its orthogonal version (OMP) and variations, is a greedy algorithm widely used in signal processing, compressed sensing, and sparse modeling. Inspired…