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S. Zhu, T.Gu, X. Xu, Z. Mo: Information Splitting for Big Data Analytics. IEEE CyberC 2016: 294-302 A.. Wathen, S. Zhu*: On spectral distribution of kernel matrices related to radial basis functions. Numer. Algorithms 70(4): 709-726 (2015) S. Zhu, A. Wathen: Convexity and Solvability for Compactly Supported Radial Basis Functions with Different Shapes. J. Sci. Comput. 63(3): 862-884 (2015) S. Zhu∗, T. Gu and X. Liu, Minimizing synchronization for sparse iterative methods on distributed supercomputers Computers & Mathematics With Applications, (SCI). 67: 199-209, 2014. S. Zhu*, T. Gu and X. Liu, Solving inverse eigenvalue problem via Householder and rank one matrices, Linear Algebra and its Applications 430:318–334, 2009. X. Lu, S. Zhu*, Q. Niu and Z. Chen, Profile Inference from Heterogeneous data: fundamentals and New Trends, BIS(1), 2019:122-136 Z. Chen, S. Zhu*, Q. Niu and X. Lu, Censorious Young: Knowledge Discovery from High-Throughput Movie Rating Data with LME4, 2019 IEEE ICBDA, pp. 32-36. B. Gao, G. Zhan, H. Wang, Y. Wang, S. Zhu*: Learning with Linear Mixed Model for Group Recommendation Systems, ICMLC 2019:81-85. X., Xu, S. Zhu (2018) Symmetric Sweeping Algorithms for Overlaps of Quadrilateral Meshes of the Same Connectivity. In: Shi Y. et al. (eds) Computational Science ICCS(3) 2018:709-726. Lecture Notes in Computer Science, vol 10862. Springer, Cham. S. Zhu, Fast calculation of restricted maximum likelihood methods for unstructured high-throughput data, 2017 IEEE International Conference on Big Data Analytics, pp.40-43, 2017 B. Shen, Q. Niu and S. Zhu*, Fabricated pictures detection with graph matching, 2020 2nd Asia Pacific Information Technology Conference (AIPT2020), pp.46-51, ACM. Chen, S. Zhu*, Q. Niu and T. Zuo, Knowledge discovery and recommendation with linear mixed models, IEEE-ACCESS, vol. 8, pp. 38304-38317, 2020 Y.Wang, T. Wu, F. Ma, S. Zhu*, Personalized Recommender Systems with Multi-Source Data, SAI (1) 2020:219-233. S. Zhu∗, T. Gu and X. Liu, AIMS: Average information matrix splitting, Mathematical Foundation of Computing, 2020, 3(4): 301-308. T. Zuo, S. Zhu*, J. Lu, A Hybrid Recommender System Combing Singular Value Decomposition and Linear Mixed Models SAI(1) 2020:347-362 X. Liu, L. Zhang and S. Zhu*, Generalized Rough Polyharmonic Splines for Multiscale PDEs with Rough Coefficients. Numer.Math. Theor. Meth. Appl, 2021 Accepted 刘新亮，张镭，朱圣鑫，一类基于带约束能量最小基函数的数值均匀化方法的数值实现，数值计算与计算机应用，已接收，2021 B.Kai, Xu, S. Bu, X. Li Y. Lin and S. Zhu*, xDeepFiG: an extreme Deep Model with Feature Interactions and Generation for CTR Prediction, 2021 3rd International Conference on Big-data Service and Intelligent Computation (BDSIC 2021), accepted. Y. Wang, L. Chen, W. Yang and S. Zhu*, How to choose an online financial product, IEEE International Conference on Decision Aid Science and Applications(DASA), 2020 1103-1109, S. Zhu, Summation of Gaussian shifts as Jacobi’s third Theta function, Mathematical Foundations of Computing, 2020, 3(3):157-163.