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Conference and Workshop Papers
- 2023
[c6]Victor Y. Pan, Soo Go, Qi Luan, Liang Zhao:
Fast Cauchy Sum Algorithms for Polynomial Zeros and Matrix Eigenvalues. CIAC 2023: 336-352- [c5]Qi Luan, Haiwei Pan, Kejia Zhang, Kun Shi, Xiteng Jia:
Enriching Semantic Features for Medical Report Generation. NLPCC (2) 2023: 469-480 - 2020
- [c4]Qi Luan, Victor Y. Pan, Won-geun Kim, Vitaly Zaderman:
Faster Numerical Univariate Polynomial Root-Finding by Means of Subdivision Iterations. CASC 2020: 431-446 - [c3]Qi Luan, Liang Zhao:
Efficient CUR Matrix Decomposition via Relative-Error Double-Sided Least Squares Solving. ICTAI 2020: 309-314 - 2019
- [c2]Victor Y. Pan, Qi Luan, John Svadlenka, Liang Zhao:
Sublinear Cost Low Rank Approximation via Subspace Sampling. MACIS 2019: 89-104 - [c1]Qi Luan, Victor Y. Pan:
CUR LRA at Sublinear Cost Based on Volume Maximization. MACIS 2019: 105-121
Informal and Other Publications
- 2019
- [i5]Victor Y. Pan, Qi Luan:
Randomized Approximation of Linear Least Squares Regression at Sub-linear Cost. CoRR abs/1906.03784 (2019) - [i4]Victor Y. Pan, Qi Luan, John Svadlenka, Liang Zhao:
CUR Low Rank Approximation of a Matrix at Sub-linear Cost. CoRR abs/1906.04112 (2019) - [i3]Victor Y. Pan, Qi Luan:
Refinement of Low Rank Approximation of a Matrix at Sub-linear Cost. CoRR abs/1906.04223 (2019) - [i2]Victor Y. Pan, Qi Luan, John Svadlenka, Liang Zhao:
Low Rank Approximation at Sublinear Cost by Means of Subspace Sampling. CoRR abs/1906.04327 (2019) - [i1]Victor Y. Pan, Qi Luan, John Svadlenka:
Low Rank Approximation Directed by Leverage Scores and Computed at Sub-linear Cost. CoRR abs/1906.04929 (2019)
Coauthor Index
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