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2020 – today
- 2024
[i6]Xiucai Ding, Rong Ma:
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators. CoRR abs/2405.12317 (2024)- 2023
- [j5]Xiucai Ding, Hau-Tieng Wu
:
Impact of Signal-to-Noise Ratio and Bandwidth on Graph Laplacian Spectrum From High-Dimensional Noisy Point Cloud. IEEE Trans. Inf. Theory 69(3): 1899-1931 (2023) - 2022
- [j4]Xiucai Ding, Fan Yang:
Edge statistics of large dimensional deformed rectangular matrices. J. Multivar. Anal. 192: 105051 (2022) - [j3]Xiucai Ding, Fan Yang:
Tracy-Widom Distribution for Heterogeneous Gram Matrices With Applications in Signal Detection. IEEE Trans. Inf. Theory 68(10): 6682-6715 (2022) - [i5]Xiucai Ding, Rong Ma:
Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach. CoRR abs/2203.00126 (2022) - 2021
- [j2]Xiucai Ding, Hau-Tieng Wu:
On the Spectral Property of Kernel-Based Sensor Fusion Algorithms of High Dimensional Data. IEEE Trans. Inf. Theory 67(1): 640-670 (2021) - [i4]Xiucai Ding, Thomas Trogdon:
The conjugate gradient algorithm on a general class of spiked covariance matrices. CoRR abs/2106.13902 (2021) - [i3]Xiucai Ding, Hau-Tieng Wu:
How do kernel-based sensor fusion algorithms behave under high dimensional noise? CoRR abs/2111.10940 (2021) - [i2]Xiucai Ding, Thomas Trogdon:
A Riemann-Hilbert approach to the perturbation theory for orthogonal polynomials: Applications to numerical linear algebra and random matrix theory. CoRR abs/2112.12354 (2021) - 2020
- [j1]Xiucai Ding, Xianyi Chen, Mengling Zou, Guangxing Zhang:
ASSVD: Adaptive Sparse Singular Value Decomposition for High Dimensional Matrices. KSII Trans. Internet Inf. Syst. 14(6): 2634-2648 (2020) - [i1]Xiucai Ding, Hau-Tieng Wu:
Phase transition of graph Laplacian of high dimensional noisy random point cloud. CoRR abs/2011.10725 (2020)
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