4 citations · 6 across the 5 of their papers we have counts for
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stat.ME2025
Few-Round Distributed Principal Component Analysis: Closing the Statistical Efficiency Gap by Consensus
ZeYu Li, Xinsheng Zhang, Wang Zhou
Distributed algorithms and theories are called for in this era of big data. Under weaker local signal-to-noise ratios, we improve upon the celebrated one-round distributed principa…
stat.ME2023★ 1 cited
Simultaneous Estimation and Dataset Selection for Transfer Learning in High Dimensions by a Non-convex Penalty
Zeyu Li, Dong Liu, Yong He +1
In this paper, we propose to estimate model parameters and identify informative source datasets simultaneously for high-dimensional transfer learning problems with the aid of a non…
stat.ME2022★ 4 cited
Manifold Principle Component Analysis for Large-Dimensional Matrix Elliptical Factor Model
ZeYu Li, Yong He, Xinbing Kong +1
Matrix factor model has been growing popular in scientific fields such as econometrics, which serves as a two-way dimension reduction tool for matrix sequences. In this article, we…