- Antonio Falcó, Anthony Nouy, “Proper generalized decomposition for nonlinear convex problems in tensor Banach spaces”, Numer. Math., 121, no. 3, 2012, 503
- K. Kazarian, V. N. Temlyakov, “Greedy bases in L p spaces”, Proc. Steklov Inst. Math., 280, no. 1, 2013, 181
- S. Balgimbayeva, T. Smirnov, “Nonlinear wavelet approximation of periodic function classes with generalized mixed smoothnes”, Anal Math, 43, no. 1, 2017, 1
- Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu, “Shrinkage Degree in L₂-Rescale Boosting for Regression”, IEEE Trans. Neural Netw. Learning Syst., 2016, 1
- Yasin Fadaei, Mahmoud Mohseni Moghadam, “Approximate solutions of partial differential equations by some Meshfree Greedy Algorithms”, Numerical Methods Partial, 33, no. 6, 2017, 1884
- Albert Cohen, Wolfgang Dahmen, Ronald DeVore, “Orthogonal Matching Pursuit Under the Restricted Isometry Property”, Constr Approx, 45, no. 1, 2017, 113
- Tomislav Čaval, Elizabeth Sara Hecht, Wilfred Tang, Maelia Uy‐Gomez, Andrew Nichols, Yong J. Kil, Wendy Sandoval, Marshall Bern, Albert J. R. Heck, “The lysosomal endopeptidases Cathepsin D and L are selective and effective proteases for the middle‐down characterization of antibodies”, The FEBS Journal, 288, no. 18, 2021, 5389
- Sourav Dutta, Matthew W. Farthing, Emma Perracchione, Gaurav Savant, Mario Putti, “A greedy non-intrusive reduced order model for shallow water equations”, Journal of Computational Physics, 439, 2021, 110378
- Shao-Bo Lin, Shaojie Tang, Yao Wang, Di Wang, “Toward Efficient Ensemble Learning with Structure Constraints: Convergent Algorithms and Applications”, INFORMS Journal on Computing, 34, no. 6, 2022, 3096
- Jian Fang, Shaobo Lin, Zongben Xu, “Learning and approximation capabilities of orthogonal super greedy algorithm”, Knowledge-Based Systems, 95, 2016, 86