Fast Hankel tensor-vector product and its application to exponential data fitting. - Weiyang Ding; Liqun Qi 001; Yimin Wei 001 (Numer. Linear Algebra Appl., 2015)

Generalized Tensor Eigenvalue Problems. - Weiyang Ding; Yimin Wei 001 (SIAM J. Matrix Anal. Appl., 2015)

Solving Multi-linear Systems with M-Tensors. - Weiyang Ding; Yimin Wei 001 (J. Sci. Comput., 2016)

Tensor logarithmic norm and its applications. - Weiyang Ding; Zongyuan Hou; Yimin Wei 001 (Numer. Linear Algebra Appl., 2016)

Computing the p-Spectral Radii of Uniform Hypergraphs with Applications. - Jingya Chang; Weiyang Ding; Liqun Qi 001; Hong Yan 001 (J. Sci. Comput., 2018)

A Peaceman-Rachford Splitting Method with Monotone Plus Skew-Symmetric Splitting for Nonlinear Saddle Point Problems. - Weiyang Ding; Michael K. Ng 001; Wenxing Zhang (J. Sci. Comput., 2019)

High performance hardware architecture for singular spectrum analysis of Hankel tensors. - Wei-pei Huang; Bowen P. Y. Kwan; Weiyang Ding; Biao Min; Ray C. C. Cheung; Liqun Qi 001; Hong Yan 001 (Microprocess. Microsystems, 2019)

Elasticity M-tensors and the strong ellipticity condition. - Weiyang Ding; Jinjie Liu; Liqun Qi 001; Hong Yan 001 (Appl. Math. Comput., 2020)

Perturbation analysis of third-order tensor eigenvalue problem based on tensor-tensor multiplication. - Changxin Mo; Weiyang Ding (CoRR, 2021)

Acceptable Solutions and Backward Errors for Tensor Complementarity Problems. - Shouqiang Du; Weiyang Ding; Yimin Wei 001 (J. Optim. Theory Appl., 2021)

Low Rank Pure Quaternion Approximation for Pure Quaternion Matrices. - Guang-Jing Song; Weiyang Ding; Michael K. Ng 001 (SIAM J. Matrix Anal. Appl., 2021)

Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer. - Jiayi Han; Longbin Zeng; Liang Du 004; Xiaoqing Ye; Weiyang Ding; Jianfeng Feng (AAAI, 2022)

Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning. - Jiayi Han; Longbin Zeng; Liang Du 004; Weiyang Ding; Jianfeng Feng (CoRR, 2023)

Higher Order Extended Dynamic Mode Decomposition Based on the Structured Total Least Squares. - Weiyang Ding; Jie Li (SIAM J. Sci. Comput., 2023)

Noda iteration for computing generalized tensor eigenpairs. - Wanli Ma; Weiyang Ding; Yimin Wei 001 (J. Comput. Appl. Math., 2023)

Dual-Valued Functions of Dual Matrices with Applications in Causal Emergence. - Tong Wei; Weiyang Ding; Yimin Wei 001 (CoRR, 2024)

Rethinking precision of pseudo label: Test-time adaptation via complementary learning. - Longbin Zeng; Jiayi Han; Liang Du 004; Weiyang Ding (Pattern Recognit. Lett., 2024)

Singular Value Decomposition of Dual Matrices and its Application to Traveling Wave Identification in the Brain. - Tong Wei; Weiyang Ding; Yimin Wei 001 (SIAM J. Matrix Anal. Appl., 2024)

Perturbation Analysis on T-Eigenvalues of Third-Order Tensors. - Changxin Mo; Weiyang Ding; Yimin Wei 001 (J. Optim. Theory Appl., 2024)

A generalized alternating direction implicit method for consensus optimization: application to distributed sparse logistic regression. - Weiyang Ding; Michael K. Ng 001; Wenxing Zhang (J. Glob. Optim., 2024)

KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting. - Ronghua Zheng; Hanru Bai; Weiyang Ding (ICLR, 2025)