Publications of Yingzhou Li    :chronological  alphabetical  combined  bibtex listing:

Papers Published

1. Li, Y; Cheng, X; Lu, J, Butterfly-net: Optimal function representation based on convolutional neural networks, Communications in Computational Physics, vol. 28 no. 5 (November, 2020), pp. 1838-1885, Global Science Press [doi]  [abs]
2. Yu, VWZ; Campos, C; Dawson, W; García, A; Havu, V; Hourahine, B; Huhn, WP; Jacquelin, M; Jia, W; Keçeli, M; Laasner, R; Li, Y; Lin, L; Lu, J; Moussa, J; Roman, JE; Vázquez-Mayagoitia, Á; Yang, C; Blum, V, ELSI — An open infrastructure for electronic structure solvers, Computer Physics Communications, vol. 256 (November, 2020), pp. 107459-107459, Elsevier BV [doi]  [abs]
3. Gu, H; Shi, G; Chen, HC; Xie, S; Li, Y; Tong, H; Yang, C; Zhu, C; Mefford, JT; Xia, H; Chueh, WC; Chen, HM; Zhang, L, Strong Catalyst-Support Interactions in Electrochemical Oxygen Evolution on Ni-Fe Layered Double Hydroxide, Acs Energy Letters, vol. 5 no. 10 (October, 2020), pp. 3185-3194 [doi]  [abs]
4. Li, Y; Lu, J, Optimal Orbital Selection for Full Configuration Interaction (OptOrbFCI): Pursuing the Basis Set Limit under a Budget., Journal of Chemical Theory and Computation, vol. 16 no. 10 (October, 2020), pp. 6207-6221 [doi]  [abs]
5. Oliveira, MJT; Papior, N; Pouillon, Y; Blum, V; Artacho, E; Caliste, D; Corsetti, F; de Gironcoli, S; Elena, AM; García, A; García-Suárez, VM; Genovese, L; Huhn, WP; Huhs, G; Kokott, S; Küçükbenli, E; Larsen, AH; Lazzaro, A; Lebedeva, IV; Li, Y; López-Durán, D; López-Tarifa, P; Lüders, M; Marques, MAL; Minar, J; Mohr, S; Mostofi, AA; O'Cais, A; Payne, MC; Ruh, T; Smith, DGA; Soler, JM; Strubbe, DA; Tancogne-Dejean, N; Tildesley, D; Torrent, M; Yu, VW-Z, The CECAM electronic structure library and the modular software development paradigm., The Journal of Chemical Physics, vol. 153 no. 2 (July, 2020), pp. 024117, AIP Publishing [doi]  [abs]
6. Li, Y; Lu, J; Mao, A, Variational training of neural network approximations of solution maps for physical models, Journal of Computational Physics, vol. 409 (May, 2020) [doi]  [abs]
7. Hu, W; Liu, J; Li, Y; Ding, Z; Yang, C; Yang, J, Accelerating Excitation Energy Computation in Molecules and Solids within Linear-Response Time-Dependent Density Functional Theory via Interpolative Separable Density Fitting Decomposition., Journal of Chemical Theory and Computation, vol. 16 no. 2 (February, 2020), pp. 964-973 [doi]  [abs]
8. Li, L; Li, Y; Liu, JG; Liu, Z; Lu, J, A stochastic version of stein variational gradient descent for efficient sampling, Communications in Applied Mathematics and Computational Science, vol. 15 no. 1 (January, 2020), pp. 37-63, Mathematical Sciences Publishers [doi]  [abs]
9. CHEN, Z; LI, Y; LU, J, Tensor ring decomposition: Optimization landscape and one-loop convergence of alternating least squares, Siam Journal on Matrix Analysis and Applications, vol. 41 no. 3 (January, 2020), pp. 1416-1442, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
10. Zhu, C; Zhang, Z; Zhong, L; Hsu, CS; Xu, X; Li, Y; Zhao, S; Chen, S; Yu, J; Wu, M; Gao, P; Li, S; Chen, HM; Liu, K; Zhang, L, Product-Specific Active Site Motifs of Cu for Electrochemical CO2 Reduction, Chem (January, 2020) [doi]  [abs]
11. Wang, Z; Li, Y; Lu, J, Coordinate Descent Full Configuration Interaction., Journal of Chemical Theory and Computation, vol. 15 no. 6 (June, 2019), pp. 3558-3569 [doi]  [abs]
12. Li, Y; Lu, J, Bold diagrammatic Monte Carlo in the lens of stochastic iterative methods, Transactions of Mathematics and Its Applications, vol. 3 no. 1 (February, 2019), pp. 1-17, Oxford University Press (OUP) [doi]  [abs]
13. Li, Y; Lin, L, Globally constructed adaptive local basis set for spectral projectors of second order differential operators, Multiscale Modeling & Simulation, vol. 17 no. 1 (January, 2019), pp. 92-116, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
14. Yingzhou, LI; Jianfeng, LU; Wang, AZHE, Coordinatewise descent methods for leading eigenvalue problem, Siam Journal on Scientific Computing, vol. 41 no. 4 (January, 2019), pp. A2681-A2716, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
15. Wang, R; Li, Y; Mahoney, MW; Darve, E, Block basis factorization for scalable kernel evaluation, Siam Journal on Matrix Analysis and Applications, vol. 40 no. 4 (January, 2019), pp. 1497-1526, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
16. Li, Y; Yang, H; Ying, L, Multidimensional butterfly factorization, Applied and Computational Harmonic Analysis, vol. 44 no. 3 (May, 2018), pp. 737-758, Elsevier BV [doi]  [abs]
17. Wang, R; Li, Y; Darve, E, On the Numerical Rank of Radial Basis Function Kernels in High Dimensions, Siam Journal on Matrix Analysis and Applications, vol. 39 no. 4 (January, 2018), pp. 1810-1835, Society for Industrial & Applied Mathematics (SIAM) [doi]
18. Li, Y; Ying, L, Distributed-memory hierarchical interpolative factorization, Research in Mathematical Sciences, vol. 4 no. 1 (December, 2017), Springer Nature [doi]  [abs]
19. Zhang, L; Sun, L; Guan, Z; Lee, S; Li, Y; Deng, HD; Li, Y; Ahlborg, NL; Boloor, M; Melosh, NA; Chueh, WC, Quantifying and Elucidating Thermally Enhanced Minority Carrier Diffusion Length Using Radius-Controlled Rutile Nanowires., Nano Letters, vol. 17 no. 9 (September, 2017), pp. 5264-5272 [doi]  [abs]
20. Li, Y; Yang, H, Interpolative butterfly factorization, Siam Journal on Scientific Computing, vol. 39 no. 2 (January, 2017), pp. A503-A531, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
21. Li, Y; Yang, H; Martin, ER; Ho, KL; Ying, L, Butterfly factorization, Multiscale Modeling & Simulation, vol. 13 no. 2 (January, 2015), pp. 714-732, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
22. Li, Y; Yang, H; Ying, L, A multiscale butterfly algorithm for multidimensional fourier integral operators, Multiscale Modeling & Simulation, vol. 13 no. 2 (January, 2015), pp. 614-631, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]