CUR LRA at Sublinear Cost Based on Volume Maximization. - Qi Luan; Victor Y. Pan (MACIS, 2019)

Sublinear Cost Low Rank Approximation via Subspace Sampling. - Victor Y. Pan; Qi Luan; John Svadlenka; Liang Zhao (MACIS, 2019)

Randomized Approximation of Linear Least Squares Regression at Sub-linear Cost. - Victor Y. Pan; Qi Luan (CoRR, 2019)

CUR Low Rank Approximation of a Matrix at Sub-linear Cost. - Victor Y. Pan; Qi Luan; John Svadlenka; Liang Zhao (CoRR, 2019)

Refinement of Low Rank Approximation of a Matrix at Sub-linear Cost. - Victor Y. Pan; Qi Luan (CoRR, 2019)

Low Rank Approximation at Sublinear Cost by Means of Subspace Sampling. - Victor Y. Pan; Qi Luan; John Svadlenka; Liang Zhao (CoRR, 2019)

Low Rank Approximation Directed by Leverage Scores and Computed at Sub-linear Cost. - Victor Y. Pan; Qi Luan; John Svadlenka (CoRR, 2019)

Faster Numerical Univariate Polynomial Root-Finding by Means of Subdivision Iterations. - Qi Luan; Victor Y. Pan; Won-geun Kim; Vitaly Zaderman (CASC, 2020)

Efficient CUR Matrix Decomposition via Relative-Error Double-Sided Least Squares Solving. - Qi Luan; Liang Zhao (ICTAI, 2020)

Fast Cauchy Sum Algorithms for Polynomial Zeros and Matrix Eigenvalues. - Victor Y. Pan; Soo Go; Qi Luan; Liang Zhao (CIAC, 2023)

Enriching Semantic Features for Medical Report Generation. - Qi Luan; Haiwei Pan; Kejia Zhang 001; Kun Shi 004; Xiteng Jia (NLPCC (2), 2023)

A new fast root-finder for black box polynomials. - Victor Y. Pan; Soo Go; Qi Luan; Liang Zhao (Theor. Comput. Sci., 2025)