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Hongcheng Dong

2 accepted papers

2026

Romberg-Extrapolated Zeroth-Order Gradient Estimator: Higher-Order Bias Reduction with Preserved Leading Directional Variance

ICML 2026poster

Zeroth-order optimization is widely used when gradients are unavailable, but the standard two-point estimator suffers from $\mathcal{O}(r^2)$ truncation bias at smoothing radius $r$. Existing bias-reduction schemes typically increase the leading directional variance under a fixed number of function …

Cited by 0SourceScholar
2025

Integrated Interpolation and Matrix Completion for Radio Map Estimation: A Convex Optimization Approach

ICASSP 2025accepted

Radio map estimation (RME) is crucial for effective planning and optimization of wireless networks. Traditional approaches such as interpolation excel at capturing local smoothness in densely populated data but struggle with sparse or irregular data. Conversely, matrix completion (MC) approaches uti…

Cited by 0SourceScholar