Xiucai Ding

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generalized Robust Adaptive-Bandwidth Multi-View Manifold Learning in High Dimensions with Noise.
CoRR
Xiucai Ding, Chao Shen, Hau-Tieng Wu
2025 J jnl
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.
IEEE Trans. Inf. Theory
Xiucai Ding, Zhenggang Wang
2024 J jnl
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators.
CoRR
Xiucai Ding, Rong Ma
2023 J jnl
Impact of Signal-to-Noise Ratio and Bandwidth on Graph Laplacian Spectrum From High-Dimensional Noisy Point Cloud.
IEEE Trans. Inf. Theory
Xiucai Ding, Hau-Tieng Wu
2022 J jnl
Edge statistics of large dimensional deformed rectangular matrices.
J. Multivar. Anal.
Xiucai Ding, Fan Yang
2022 J jnl
Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach.
CoRR
Xiucai Ding, Rong Ma
2022 J jnl
Tracy-Widom Distribution for Heterogeneous Gram Matrices With Applications in Signal Detection.
IEEE Trans. Inf. Theory
Xiucai Ding, Fan Yang
2021 J jnl
A Riemann-Hilbert approach to the perturbation theory for orthogonal polynomials: Applications to numerical linear algebra and random matrix theory.
CoRR
Xiucai Ding, Thomas Trogdon
2021 J jnl
How do kernel-based sensor fusion algorithms behave under high dimensional noise?
CoRR
Xiucai Ding, Hau-Tieng Wu
2021 J jnl
On the Spectral Property of Kernel-Based Sensor Fusion Algorithms of High Dimensional Data.
IEEE Trans. Inf. Theory
Xiucai Ding, Hau-Tieng Wu
2021 J jnl
The conjugate gradient algorithm on a general class of spiked covariance matrices.
CoRR
Xiucai Ding, Thomas Trogdon
2020 J jnl
ASSVD: Adaptive Sparse Singular Value Decomposition for High Dimensional Matrices.
KSII Trans. Internet Inf. Syst.
Xiucai Ding, Xianyi Chen, Mengling Zou, Guangxing Zhang
2020 J jnl
Phase transition of graph Laplacian of high dimensional noisy random point cloud.
CoRR
Xiucai Ding, Hau-Tieng Wu