20 citations · 30 across the 11 of their papers we have counts for
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cs.LG2026
The power of small initialization in noisy low-tubal-rank tensor recovery
ZHiyu Liu, Haobo Geng, Xudong Wang +3
We study the problem of recovering a low-tubal-rank tensor from noisy linear measurements under the t-product framework. A…
cs.LG2025
Efficient Low-Tubal-Rank Tensor Estimation via Alternating Preconditioned Gradient Descent
Zhiyu Liu, Zhi Han, Yandong Tang +2
The problem of low-tubal-rank tensor estimation is a fundamental task with wide applications across high-dimensional signal processing, machine learning, and image science. Traditi…
cs.LG2020★ 1 cited
Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization
Zhi Han, Siquan Yu, Shao-Bo Lin +1
Deep learning is recognized to be capable of discovering deep features for representation learning and pattern recognition without requiring elegant feature engineering techniques…