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Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis Journal article
Zhang, Hengmin, Qian, Feng, Shi, Peng, Du, Wenli, Tang, Yang, Qian, Jianjun, Gong, Chen, Yang, Jian. Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(9), 5342-5353.
Authors:  Zhang, Hengmin;  Qian, Feng;  Shi, Peng;  Du, Wenli;  Tang, Yang; et al.
Favorite | TC[WOS]:18 TC[Scopus]:18  IF:10.2/10.4 | Submit date：2023/10/10
Algorithm Designs  Convergence Analysis  Low-rank Matrix Recovery  Multiple Variables  Nonconvex Alternating Direction Method Of Multiplier (Admm)  
Multivariate approximations in Wasserstein distance by Stein’s method and Bismut’s formula Journal article
Xiao Fang, Qi-Man Shao, Lihu Xu. Multivariate approximations in Wasserstein distance by Stein’s method and Bismut’s formula[J]. Probability Theory and Related Fields, 2019, 174(3-4), 945–979.
Authors:  Xiao Fang;  Qi-Man Shao;  Lihu Xu
Favorite | TC[WOS]:23 TC[Scopus]:24  IF:1.5/1.9 | Submit date：2019/07/19
Bismut's Formula  Multivariate Approximation  Rate Of Convergence  Stein’s Method  Wasserstein Distance  Langevin Algorithm  Malliavin Calculus  
Algorithm of ε-SVR based on a large-scale sample set: Step-by-step search Journal article
Zeng S., Tang Y.Y., Wei Y., Wang Y.. Algorithm of ε-SVR based on a large-scale sample set: Step-by-step search[J]. International Journal of Wavelets, Multiresolution and Information Processing, 2011, 9(2), 197-210.
Authors:  Zeng S.;  Tang Y.Y.;  Wei Y.;  Wang Y.
Favorite | TC[WOS]:3 TC[Scopus]:4 | Submit date：2019/02/11
Ε-svr  Convergence Of Algorithm  Searching Algorithm  Simulation