Xiucai Ding

According to our database, Xiucai Ding authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Global and Local CLTs for Linear Spectral Statistics of General Sample Covariance Matrices When the Dimension Is Much Larger Than the Sample Size With Applications.

Xiucai Ding, Zhenggang Wang

IEEE Trans. Inf. Theory, August, 2025

2024

Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators.

Xiucai Ding, Rong Ma

CoRR, 2024

2023

Impact of Signal-to-Noise Ratio and Bandwidth on Graph Laplacian Spectrum From High-Dimensional Noisy Point Cloud.

Xiucai Ding, Hau-Tieng Wu

IEEE Trans. Inf. Theory, March, 2023

2022

Tracy-Widom Distribution for Heterogeneous Gram Matrices With Applications in Signal Detection.

Xiucai Ding, Fan Yang

IEEE Trans. Inf. Theory, 2022

Edge statistics of large dimensional deformed rectangular matrices.

Xiucai Ding, Fan Yang

J. Multivar. Anal., 2022

Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach.

Xiucai Ding, Rong Ma

CoRR, 2022

2021

On the Spectral Property of Kernel-Based Sensor Fusion Algorithms of High Dimensional Data.

Xiucai Ding, Hau-Tieng Wu

IEEE Trans. Inf. Theory, 2021

A Riemann-Hilbert approach to the perturbation theory for orthogonal polynomials: Applications to numerical linear algebra and random matrix theory.

Xiucai Ding, Thomas Trogdon

CoRR, 2021

How do kernel-based sensor fusion algorithms behave under high dimensional noise?

Xiucai Ding, Hau-Tieng Wu

CoRR, 2021

The conjugate gradient algorithm on a general class of spiked covariance matrices.

Xiucai Ding, Thomas Trogdon

CoRR, 2021

2020

ASSVD: Adaptive Sparse Singular Value Decomposition for High Dimensional Matrices.

Xiucai Ding, Xianyi Chen, Mengling Zou, Guangxing Zhang

KSII Trans. Internet Inf. Syst., 2020

Phase transition of graph Laplacian of high dimensional noisy random point cloud.

Xiucai Ding, Hau-Tieng Wu

CoRR, 2020