Faster Johnson-Lindenstrauss Transforms via Kronecker Products. - Ruhui Jin; Tamara G. Kolda; Rachel A. Ward (CoRR, 2019)

Nearly sharp structured sketching for constrained optimization. - Ke Chen; Ruhui Jin (CoRR, 2020)

Space-time reduced-order modeling for uncertainty quantification. - Ruhui Jin; Francesco Rizzi; Eric J. Parish (CoRR, 2021)

Tensor-Structured Sketching for Constrained Least Squares. - Ke Chen; Ruhui Jin (SIAM J. Matrix Anal. Appl., 2021)

Optimal experimental design via gradient flow. - Ruhui Jin; Martin Guerra; Qin Li 007; Stephen J. Wright 001 (CoRR, 2024)

Unique reconstruction for discretized inverse problems: a random sketching approach. - Ruhui Jin; Qin Li 007; Anjali Nair; Samuel N. Stechmann (CoRR, 2024)

Continuous nonlinear adaptive experimental design with gradient flow. - Ruhui Jin; Qin Li 007; Stephen O. Mussmann; Stephen J. Wright 001 (CoRR, 2024)

Scalable Symmetric Tucker Tensor Decomposition. - Ruhui Jin; Joe Kileel 001; Tamara G. Kolda; Rachel A. Ward (SIAM J. Matrix Anal. Appl., 2024)