Xiucai Ding

Orcid: 0000-0002-6539-3613

According to our database1, Xiucai Ding authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators.
CoRR, 2024

2023
Impact of Signal-to-Noise Ratio and Bandwidth on Graph Laplacian Spectrum From High-Dimensional Noisy Point Cloud.
IEEE Trans. Inf. Theory, March, 2023

2022
Tracy-Widom Distribution for Heterogeneous Gram Matrices With Applications in Signal Detection.
IEEE Trans. Inf. Theory, 2022

Edge statistics of large dimensional deformed rectangular matrices.
J. Multivar. Anal., 2022

Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach.
CoRR, 2022

2021
On the Spectral Property of Kernel-Based Sensor Fusion Algorithms of High Dimensional Data.
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.
CoRR, 2021

How do kernel-based sensor fusion algorithms behave under high dimensional noise?
CoRR, 2021

The conjugate gradient algorithm on a general class of spiked covariance matrices.
CoRR, 2021

2020
ASSVD: Adaptive Sparse Singular Value Decomposition for High Dimensional Matrices.
KSII Trans. Internet Inf. Syst., 2020

Phase transition of graph Laplacian of high dimensional noisy random point cloud.
CoRR, 2020


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