3 papers
eess.SP2020
Adaptive support driven Bayesian reweighted algorithm for sparse signal recovery
Junlin Li, Wei Zhou, Cheng Cheng
Sparse learning has been widely studied to capture critical information from enormous data sources in the filed of system identification. Often, it is essential to understand inter…
math.ST2019
High-Dimensional Dynamic Systems Identification with Additional Constraints
Junlin Li
This note presents a unified analysis of the identification of dynamical systems with low-rank constraints under high-dimensional scaling. This identification problem for dynamic s…
stat.ML2019
Machine Discovery of Partial Differential Equations from Spatiotemporal Data
Ye Yuan, Junlin Li, Liang Li +9
The study presents a general framework for discovering underlying Partial Differential Equations (PDEs) using measured spatiotemporal data. The method, called Sparse Spatiotemporal…