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math.OC2025
From Generality to Specificity: Prior-Driven Optimal Sparse Transformation in Compressed Sensing
Zhihan Zhu, Yanhao Zhang, Yong Xia
This paper introduces a new paradigm for sparse transformation: the Prior-to-Posterior Sparse Transform (POST) framework, designed to overcome long-standing limitation on generaliz…
math.OC2025★ 1 cited
SPP-SBL: Space-Power Prior Sparse Bayesian Learning for Block Sparse Recovery
Yanhao Zhang, Zhihan Zhu, Yong Xia
The recovery of block-sparse signals with unknown structural patterns remains a fundamental challenge in structured sparse signal reconstruction. By proposing a variance transforma…
math.OC2025
Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination
Zhihan Zhu, Yanhao Zhang, Yong Xia
This paper introduces two novel criteria: one for feature selection and another for feature elimination in the context of best subset selection, which is a benchmark problem in sta…