Publications (4)
Eigenvector overlaps in large sample covariance matrices and nonlinear shrinkage estimators
Zeqin Lin, Guangming Pan
Consider a data matrix of size , where the columns are independent observations from a random vector with zero m…
M-FasterSeg: An Efficient Semantic Segmentation Network Based on Neural Architecture Search
Junjun Wu, Huiyu Kuang, Qinghua Lu +4
Image semantic segmentation technology is one of the key technologies for intelligent systems to understand natural scenes. As one of the important research directions in the field…
Multi-kernel spectral clustering: Entrywise eigenvector perturbation bounds and exact recovery
Zeqin Lin, Guangming Pan, Zhixiang Zhang +1
Kernel spectral clustering with a single bandwidth can be inadequate for data exhibiting multiple characteristic pairwise-distance scales, a problem particularly prevalent in the h…
Asymptotic distribution of spiked eigenvalues in the large signal-plus-noise models
Zeqin Lin, Guangming Pan, Peng Zhao +1
Consider large signal-plus-noise data matrices of the form , where is a low-rank deterministic signal matrix and the noise covariance matrix can be anisotr…