collaborators

7 papers

math.ST2026

Conditionally Resampled Sliding-Window Count Kernels: Spectral-Gap Bounds and Poincaré Inequalities

Yanjin Xiang, Yuchen Xin, Zhihua Zhang

We study the conditionally resampled sliding-window count kernel associated with the empirical counts of length- windows from a stationary finite-state reversible Markov chain.…

math.PR2026

Strong Convergence for a General Class of Random Matrix Models

Yanjin Xiang, Zhihua Zhang

Let \(X_{1,n},\ldots,X_{d,n}\) be \(n\times n\) random matrices built from independent i.i.d. entry arrays, with centered entries, normalized by \(n^{-1/2}\). We prove that, if eve…

math.FA2026

Layerwise Terminal Discrepancy in Chen's Reverse-Heat Coupling on the Boolean Cube

Yanjin Xiang, Zhihua Zhang

Recently, Chen \cite{Chen2026} proved that Talagrand's Boolean convolution conjecture holds up to the dimension-free factor \((\log\logη)^{3/2}\), namely for every fixed \(τ>0\),…

math.ST2026

Universality for Products of Random Matrices with i.i.d. Entries and the Fuss--Catalan Number

Yanjin Xiang, Kun Chen, Zhihua Zhang

Let \((w_{ij})_{i,j\ge1}\) be a single infinite array of independent identically distributed real- or complex-valued entries of mean zero, variance \(σ^2\), and finite fourth mome…

stat.ML2026

Finite-Iteration Local Dynamics and Warm Starts for Alternating Power Iteration in Spiked Tensor PCA

Yanjin Xiang, Zhihua Zhang

We study simultaneous alternating power iteration for fixed-order asymmetric rank-one spiked tensor models. Our main contribution is a finite-iteration local theory that is indepen…

cond-mat.mtrl-sci2026

UniMatSim: A High-Throughput Materials Simulation Automation Framework Based on Universal Machine Learning Potentials

Yanjin Xiang, Yihan Nie, Yunzhi Gao +2

Universal machine learning interatomic potentials (UMLIPs) offer accuracy close to first-principles calculations at a fraction of the cost, showing significant potential for large-…