Y. Ma and L.Z. Liao, ``The GlowinskiLe Tallec splitting method revisited: A general convergence and convergence rate analysis'', JIMO, 17(4), 16811711, 2021.
Cheng, M.Y. (2021). Discussion on ``Estimation of Hilbertian Varying Coefficient Models'' by Young Kyung Lee, Byeong U. Park, Hyerim Hong and Dognwoo Kim, Statistics and Its Interface, in press.
Z. Tang, Z. Fu, M. Chen, and L. Ling. A localized extrinsic collocation method for Turing pattern formations on surfaces. Applied Mathematics Letters. 122:107534. 2021
Dong Li and Tao Tang. Stability of the SemiImplicit Method for the CahnHilliard Equation with Logarithmic Potentials, Ann. Appl. Math., 37 (2021), pp. 3160.
Honglin Liao, Tao Tang and Tao Zhou. An energy stable and maximum bound preserving scheme with variable time steps for time fractional AllenCahn equation, accepted by SIAM J. Sci. Cpmput. (2021).
Honglin Liao, Xuehua Song, Tao Tang and Tao Zhou. Analysis of the secondorder BDF scheme with variable steps for the molecular beam epitaxial model without slope selection, Sci China Math, 64 (2021), pp. 887–902,. https://doi.org/10.1007/s1142502018174
Zheng, J. S. and Zhu, Lixing (2021). Determining the number of canonical correlation pairs for high dimensional vectors, Annals of Institute of Statistical Mathematics, 73, 737–756
Xie, J. S., Zeng, Y. C. and Zhu Lixing (2021). Limiting laws for extreme eigenvalues of largedimensional spiked Fisher matrices with a divergent number of spikes, Journal of Multivariate Analysis, 184, 104742
Fan, Y., Liu, Y. and Zhu, Lixing (2021). Optimal subsampling for linear quantile regression models, Canadian Journal of Statistics, online.
Zhou N. W. and Zhu, Lixing (2021). On IPWbased estimation of conditional average treatment effect, Journal of Statistical Planning and Inference, 215, 122.
Amina Benabid, Jun Fan and DaoHong Xiang. Comparison theorems on largemargin learning, International Journal of Wavelets, Multiresolution and Information Processing, in press, 2021. https://doi.org/10.1142/S0219691321500156
Fusheng Lv and Jun Fan. Optimal learning with Gaussians and correntropy loss, Analysis and Applications, 19(01):107124, 2021.
S. Hon, S. SerraCapizzano, and A. Wathen, BandToeplitz preconditioners for illconditioned nonsymmetric Toeplitz systems, to appear, BIT Numerical Methods, 2021.
H. Garcke, K.F. Lam and A. Signori, Sparse optimal control of a phase field tumour model with mechanical effects, SIAM J. Control Optim. 59 (2021) 1555–1580
S. Frigeri, K.F. Lam and A. Signori, Strong wellposedness and inverse identification problem of a nonlocal phase field tumor model with degenerate mobilities, European Jnl. Appl. Math. (2021)
P. Knopf, K.F. Lam, C. Liu and S. Metzger, Phasefield dynamics with transfer of materials: The Cahn–Hilliard equation with reaction rate dependent dynamic boundary conditions, ESAIM: M2AN 55 (2021) 229–282
Zongliang Hu, Yan Zhou and Tiejun Tong (2021). Metaanalyzing multiple omics data with robust variable selection. Frontiers in Genetics, 12: 656826.
Jiajin Wei, Enxuan Lin, Jiandong Shi, Ke Yang, Zongliang Hu, Xiantao Zeng and Tiejun Tong (2021). Metaanalysis with zeroevent studies: a comparative study with application to COVID19 data. Military Medical Research, 8: 41.
Sanying Feng, Gaorong Li, Heng Peng and Tiejun Tong (2021). Varyingcoeﬃcient panel data model with interactive ﬁxed eﬀects. Statistica Sinica, 31: 935957.
Zongliang Hu, Zhishui Hu, Kai Dong, Tiejun Tong and Yuedong Wang (2021). A shrinkage approach to joint estimation of multiple covariance matrices. Metrika, 84: 339374.
Wenwu Wang, Wei Shen and Tiejun Tong (2021). Robust estimation of nonparametric function via addition sequence. Journal of Statistical Planning and Inference, 211: 423438.
Yaping Wang, Bin Liu, Xiuqiong Fu, Tiejun Tong and Zhiling Yu (2021). Eﬃcacy and safety of SiJunZiTangbased therapies for functional (nonulcer) dyspepsia: a metaanalysis of randomized controlled trials. BMC Complementary and Alternative Medicine, 21: 11.
X. Qian, L.Z. Liao, and J. Sun, ``A strategy of global convergence for the affine scaling algorithm for convex semidefinite programming'', Math. Prog., 179(12), 119, 2020.
Zhang, J.T., Guo, J., Zhou, B., and Cheng, M.Y. (2020). A simple twosample test in high dimensions based on L_2 norm. Journal of the American Statistical Association,115, 10111027.
S.N. Chiu, L. Ling and M. McCourt. On variable and random shape Gaussian interpolations. Applied Mathematics and Computation. 377: 125159. 2020.
S. Li, and L. Ling. Complex pattern formations by spatial varying parameters. Advances in Applied Mathematics and Mechanics. 12(6): 13271352. 2020
M. Chen and L. Ling. Extrinsic Meshless Collocation Methods for PDEs on Manifolds. SIAM Journal on Numerical Analysis. 58(2): 9881007. 2020
M. Chen and L. Ling. Kernelbased collocation methods for heat transport on evolving surfaces. Journal of Computational Physics. 405: 1091 Haifeng Li, Jun Liu, Li Cui, Haiyang Huang, XueCheng Tai, Volume preserving image segmentation with entropy regularized optimal transport and its applications in deep learning, ournal of Visual Communication and Image Representation, Journal of Visual Communication and Image Representation, 71, 102845, 2020/8/1.
Shi Yan, XueCheng Tai, Jun Liu, HaiYang Huang, Convexity Shape Prior for Level SetBased Image Segmentation Method, IEEE Transactions on Image Processing, 29, 71417152, 2020/6/5.
Weina Wang, Chunlin Wu, XueCheng Tai, A Globally Convergent Algorithm for a Constrained NonLipschitz Image Restoration Model, Journal of Scientific Computing, 83, 129, 2020/3/27.
Fan Jia, XueCheng Tai, Jun Liu, , Nonlocal regularized CNN for image segmentation, Inverse Problems & Imaging, 14(5), 891, 2020.66. 2020.
Honglin Liao, Tao Tang and Tao Zhou. On energy stable, maximumprinciple preserving, second order BDF scheme with variable steps for the AllenCahn equation, SIAM J. Numer. Anal. 584 (2020), pp. 22942314.
Honglin Liao, Tao Tang and Tao Zhou. A secondorder and nonuniform timestepping maximumprinciple preserving scheme for timefractional AllenCahn equations, J. Comput. Phys. 414 (2020): 109473.
Chaoyu Quan, T. Tang and Jang Yang, How to Define DissipationPreserving Energy for TimeFractional PhaseField Equations, CSIAM Transactions on Applied Mathematics 1(2020), pp. 478490.
Changtao Sheng, Jie Shen, Tao Tang, LiLian Wang and Huifang Yuan. Fast Fourierlike mapped Chebyshev SpectralGalerkin methods for PDEs with integral fractional Laplacian in unbounded domains. SIAM J. Numer. Anal. (2020), pp. 24352464.
Tao Tang. Revisit of SemiImplicit Schemes for PhaseField Equations, Anal. Theory Appl., 36(3) (2020), 235242.
Tao Tang and Zhonghua Qiao. Efficient numerical methods for phasefield equations, Science Sinica Mathematica, 50(6) (2020), 120.
Tao Tang, Lilian Wang, Huifang Yuan, and Tao Zhou. Rational spectral methods for PDEs involving fractional Laplacian in unbounded domains, SIAM J. Sci. Comput., 42(2) (2020), A585A611.
J. K. Zhou and Zhu, Lixing (2020). Modified Martingale Difference Correlations, Journal of Nonparametric Statistics, accepted.
Zhu, X. H., Lu, J., Zhang, J. and Zhu Lixing (2020). Testing for conditional independence: a groupwise dimension reductionbased adaptivetomodel approach, Scandinavian Journal of Statistics, accepted.
Wang, T. and Zhu, Lixing (2020). Modelbased inverse regression and its applications. accepted by Festschrift in Honor of Dennis, R. Cook
Chen, F., Shi, L., Zhu, L. and Zhu, Lixing (2020). A method of local influence in sufficient dimension reduction, Statistica Sinica, accepted.
Jin, L. B., Chiu, S. N., Zhao, J, H. and Zhu, Lixing (2020). Constrained maximum likelihood estimation for skewed normal mixture models. Sci. in China (In Chinese), in press.
Guo, X., Li, R. Z., Liu, W. J. and Zhu, Lixing (2020). Stable correlation and robust feature screening, Science in China, online (nb).
Deng, K., Jiang, Y. Kai, Liu, J., Zhao, X. S. and Zhu, Lixing (2020). Totaleffect Test Is Superfluous for Establishing Mediation in the Classic Mediation Model, Statistica Sinica, accepted.
Yu, W., Xu, W. L. and Zhu, Lixing (2020). Estimating the number of equal components for two highdimensional mean vectors, Communication in StatisticsTheory and Methods, Online.
Xie, C. L. and Zhu, Lixing (2020). Generalized Kernelbased Inverse Regression Methods for Sufficient Dimension Reduction. Computational Statistics and Data Analysis, 150, 106995.
Chan, B. D., Wong, G., Jiang, Q., Lee, M. M., Wong, W. M., Chen, F., Wong, W. T., Zhu, Lixing Wong, K. M. and Tai, C.S. (2020). Longitudinal study of BKV outcomes, risk factors, and kinetics in renal transplantation patients, Microbial Pathogenesis, 142:10403
Zhu, X.H., Guo, X., Wang, T. and Zhu, Lixing(2020). Dimensionality determination in dimension reduction: a thresholding double ridge ratio approach, Computational Statistics and Data Analysis, 146, 106910.
Feng, Z. H., Lin, L. Zhu, R. Q. and Zhu, Lixing (2020). Nonparametric Variable Selection and Its Application to Additive Models, Annals of the Institute of Statistical Mathematics, 72, 827 – 854.
Yunlong Feng, Jun Fan and Johan Suykens. A statistical learning approach to modal regression, Journal of Machine Learning Research, 21(2):1–35, 2020.
Jun Fan and DaoHong Xiang. Quantitative convergence analysis of kernel based largemargin uniﬁed machines, Communications on Pure and Applied Analysis, 19(8):4069–4083, 2020.
Ting Hu, Jun Fan and DaoHong Xiang. Convergence analysis of distributed multipenalty regularized pairwise learning, Analysis and Applications, 18(1):109–127, 2020.
MJ Gander, F Kwok, J Salomon. PARAOPT: A parareal algorithm for optimality systems. SIAM Journal on Scientific Computing 42 (5), A2773A2802, 2020
Cheng, Q., Yang, Y., Shi, X., Yang, C., Peng, H. and Liu, J. (2020), MRLDP: a twosample Mendelian randomization for GWAS summary statistics accounting linkage disequilibrium and horizontal pleiotropy, NAR Genomics and Bioinformatics, 2(2), lqaa028.
Cai, M., Dai, M., Ming, J., Peng, H., Liu, J. and Yang, C. (2020), BIVAS: A scalable Bayesian method for bilevel variable selection with applications, Journal of Computational and Graphical Statistics, 29, 4052.
Zhang, J., Cui, X. and Peng, H. (2020), Estimation and hypothesis test for partial singleindex multiplicative models, Annals of the Institute of Statistical Mathematics, 72, 699740.
Jiandong Shi, Dehui Luo, Hong Weng, Xiantao Zeng, Lu Lin, Haitao Chu and Tiejun Tong (2020). Optimally estimating the sample mean and standard deviation from the ﬁvenumber summary. Research Synthesis Methods, 11: 641654.
Ke Yang, HiuYee Kwan, Zhiling Yu and Tiejun Tong (2020). Model selection between the ﬁxedeﬀects model and the randomeﬀects model in metaanalysis. Statistics and Its Interface (Special Issue on Metaanalysis), 13: 501510.
Jiandong Shi, Tiejun Tong, Yuedong Wang and Marc G. Genton (2020). Estimating the mean and variance from the ﬁvenumber summary of a lognormal distribution. Statistics and Its Interface (Special Issue on Metaanalysis), 13: 519531.
Shuwei Li, Tao Hu, Tiejun Tong and Jianguo Sun (2020). Semiparametric regression analysis of multivariate doublycensored data. Statistical Modelling, 20: 502526.
Fengyang He, Huixia Judy Wang and Tiejun Tong (2020). Extremal linear quantile regression with Weibulltype tails. Statistica Sinica, 30: 13571377.
Hong Zhang, Tiejun Tong, John Landers and Zheyang Wu (2020). TFisher: A powerful truncation and weighting procedure for combining pvalues. Annals of Applied Statistics, 14: 178201.
Yuejin Zhou, SzeYui Ho, Jiahua Liu and Tiejun Tong⋆ (2020). Hypothesis testing for normal distributions: a uniﬁed framework and new developments. Statistics and Its Interface, 13: 167179.
Hailun Wang, Pak Sham, Tiejun Tong and Herbert Pang (2020). Pathwaybased singlecell RNASeq classiﬁcation, clustering, and construction of genegene interactions networks using random forests. IEEE Journal of Biomedical and Health Informatics, 24: 18141822.
Sanying Feng, Gaorong Li, Tiejun Tong and Shuanghua Luo (2020). Testing for heteroskedasticity in twoway ﬁxed eﬀects panel data models. Journal of Applied Statistics, 47: 91116.
L. M. Sun and L.Z. Liao, ``An interior point continuous pathfollowing trajectory for linear programming'', JIMO, 15(4), 15171534, 2019.
Zhang, J.T., Cheng, M.Y., Wu, H.T, and Zhou, B. (2019). A new test for functional oneway ANOVA with application to ischemic heart screening. Computational Statistics and Data Analysis,132, 317.
Yue, M., Li, J., and Cheng, M.Y. (2019). Twostep sparse boosting for highdimensional longitudinal data with varying coefficients. Computational Statistics and Data Analysis,131, 222234.
M. Chen and L. Ling. Kernelbased meshless collocation methods for solving coupled bulksurface PDEs. Journal of Scientific Computing. 81(1): 375391. 2019.
S. Li and L. Ling. Collocation methods for Cauchy problems of elliptic operators via conditional stabilities. Communications in Computational Physics. 26(3): 785808. 2019.
S. Li and L. Ling. Weighted leastsquares collocation methods for elliptic PDEs with mixed boundary conditions. Engineering Analysis with Boundary Elements. 105: 146154. 2019.
P. K. Mishra, G. E. Fasshauer, M .K. Sen and L. Ling. A stabilized radial basisfinite difference (RBFFD) method with hybrid kernels. Computers and Mathematics with Applications. 77(9): 23542368. 2019.
S. Li, L. Ling and K.C. Cheung. Discrete leastsquares radial basis functions approximations. Applied Mathematics and Computation. 355: 542552. 2019.
A. Petras, L. Ling, C. Piret and S. Ruuth. A leastsquares implicit RBFFD closest point method and applications to PDEs on moving surfaces. Journal of Computational Physics. 381: 146161. 2019.
LiangJian Deng, Minyu Feng, XueCheng Tai, The fusion of panchromatic and multispectral remote sensing images via tensorbased sparse modeling and hyperLaplacian prior, Information Fusion, 52, 7689, 2019/12/1.
Haixia Liu, XueCheng Tai, Curvaturebased authentication of van Gogh paintings, Methods and Applications of Analysis, 26(3), 269280, 2019/9.
Shousheng Luo, XueCheng Tai, Limei Huo, Yang Wang and Roland Glowinski, , Convex Shape Prior for MultiObject Segmentation Using a Single Level Set Function, Proceedings of the IEEE International Conference on Computer Vision, 613621, 2019/10.
Shousheng Luo, Ruyue Meng, Suhua Wei, JianFeng Cai, XueCheng Tai, Yang Wang, Datadriven Method for 3D Axissymmetric Object Reconstruction from Single Conebeam Projection Data, Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 288292., 2019/9/24.
Shousheng Luo, Keke Kang, Yang Wang, XueCheng Tai, Lowdose Xray Computed Tomography Image Reconstruction Using Edge Sparsity Regularization,, Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 303307, 2019/9/24.
Jia Fan, Xuecheng Tai, Regularized UNet for Automated Pancreas Segmentation, Proceedings of the Third International Symposium on Image Computing and Digital Medicine,, 113117, 2019/9/24.
Alexander Malyshev, XueCheng Tai, Variational Model for Depth Estimation from Images,, 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA),, 18, 2019/9/26.
LJ Deng, M Feng, XC Tai, The fusion of panchromatic and multispectral remote sensing images via tensorbased sparse modeling and hyperLaplacian prior, Information Fusion, 52, 7689, 2019/12/1.
LJ Deng, R Glowinski, XC Tai, A New Operator Splitting Method for the Euler Elastica Model for Image Smoothing, SIAM Journal on Imaging Sciences 12, 12(2), 11901230, 2019/6/25.
S Yan, J Liu, H Huang, XC Tai, A dual EM algorithm for TV regularized Gaussian mixture model in image segmentation, Inverse Problems & Imaging, 13(3), 653677, 2019/3/19.
Y Shi, K Yin, XC Tai, et. al, Evaluation of the performance of classification algorithms for XFEL singleparticle imaging data, IUCrJ, 6, 331340, 2019/3/1.
X He, W Zhu, XC Tai, Segmentation by Elastica Energy with L1 and L2 Curvatures: a Performance Comparison, NUMERICAL MATHEMATICSTHEORY METHODS AND APPLICATIONS, 12(1), 285311, 2019/2/1.
Zhiwei Fang, Jichun Li, Tao Tang and Tao Zhou, Efficient Stochastic Galerkin Methods for Maxwell's Equations with Random Inputs, J. Sci. Comput., 80(1) (2019), 248267.
T. Tang, On effective numerical methods for phasefield models, Proceedings of the International Congress of Mathematicians, (ICM 2018), pp. 36693690 (2019). https://doi.org/10.1142/9789813272880_0196
Tao Tang, Haijun Yu and Tao Zhou, On energy dissipation theory and numerical stability for timefractional phase field equations, SIAM J. Sci. Comput. , 41(6) (2019), A37573778.
Tan, F. L., Jiang, X. J., Guo, X. and Zhu, Lixing (2019). Testing heteroscedasticity for regression models based on projections. Statistica Sinica, accepted.
Xie, C. L. and Zhu, Lixing (2019). A GoodnessofFit Test for Variableadjusted Models, Computational Statistics and Data Analysis, 138, 2748
Tan, F. L., and Zhu, Lixing (2019). Adaptivetomodel checking for regressions with diverging number of predictors, Annals of Statistics, 47, 1960  1994.
Koul, H., Xie, C. L. and Zhu, Lixing (2019). An AdaptivetoModel Test for Parametric SingleIndex ErrorsinVariables Models, Statistica Sinica, 29, 1511 – 1534
Li, L. Z., Chiu, S. N. and Zhu, Lixing (2019). Model checking for regressions: an approach bridging between local smoothing and global smoothing methods, Computational Statistics and Data Analysis, 138, 6482
Yu, W., Xu, W. L. and Zhu, Lixing (2019). A Combined pvalue Test for the Mean Difference of High dimensional Data, Science in China: Mathematics, 62, 961  978. (b)
Lin, L., Li, F., Wang, K. N. and Zhu, Lixing (2019). Composite Estimation: An Asymptotically Weighted Least Squares Approach, Statistica Sinica, 29, 13671393 (b)
Yu,W., Xu,W. L. and Zhu, Lixing (2019). Multiple permutation test for highdimensional data: a components combined algorithm, Journal of Statistical Computation and Simulation, 89, 686707
Lu, J. Zhu, X. H., Lin, L. and Zhu, Lixing (2019). Estimation for biased partial linear single index models, Computational Statistics and Data Analysis, 139, 113.
Guo, X., Song, L. L, Fang, Y. and Zhu, Lixing (2019). Model checking for general linear regression with nonignorable missing response, Computational Statistics and Data Analysis, 138, 112.
Jiang, Q., Huskov, M., Meintanis, S. and Zhu, Lixing (2019). Asymptotics, finitesample comparisons and applications for twosample tests with functional data, Journal of Multivariate Analysis, 170, 202220
Chen, F., Meintanis, S. and Zhu, Lixing (2019). On some characterizations of, and multidimensional criteria for testing homogeneity, symmetry and independence, Journal of Multivariate Analysis, 173, 125144.
Guo, G. B., Allison, J. and Zhu, Lixing (2019). Bootstrap maximum likelihood for quasistationary distributions, Journal of Nonparametrics, 31, 64  87.
Chiu, S. N. and Liu, K. I. (2019) Improving pvalue approximation and level accuracy of Monte Carlo tests by quasiMonte Carlo methods. Communications in Statistics—Simulation and Computation. DOI: 10.1080/03610918.2019.1667389
Li, L., Chiu, S. N. and Zhu, L. (2019) Model checking for regressions: an approach bridging between local smoothing and global smoothing methods. Computational Statistics and Data Analysis 138, 6482.
Jun Fan, Fusheng Lv and Lei Shi. An RKHS approach to estimate individualized treatment rules based on functional predictors. Mathematical Foundations of Computing, 2(2):169181, 2019.
S. Hon and A. Wathen, Numerical investigation of the spectral distribution of Toeplitzfunction sequences, Computational Methods for Inverse Problems in Imaging. Springer INdAM Series, vol 36. Springer, Cham, 2019.
P. Ferrari, I. Furci, S. Hon, M. Mursaleen, and S. SerraCapizzano, The eigenvalue distribution of special 2by2 block matrix sequences, with applications to the case of symmetrized Toeplitz structures, SIAM J. Matrix Anal. Appl. 40(3), 10661086, 2019.
S. Hon, M. Mursaleen, and S. SerraCapizzano, A note on the spectral distribution of symmetrized Toeplitz sequences, Linear Algebra and its Application, 579:3250, 2019.
S. Hon, Circulant preconditioners for analytic functions of Hermitian Toeplitz matrices, Journal of Computational and Applied Mathematics, 352:328340, 2019.
ZY Wong, F Kwok, RN Horne. HA Tchelepi, Sequentialimplicit Newton method for multiphysics simulation, Journal of Computational Physics 391, 155178, 2019
F Kwok, BW Ong. Schwarz waveform relaxation with adaptive pipelining, SIAM Journal on Scientific Computing 41 (1), A339A364, 2019
Feng, S., Li, G., Peng, H. and Tong, T. (2019) Varying coeﬃcient panel data model with interactive ﬁxed eﬀects, Statistica Sinica, accepted.
Wenwu Wang, Ping Yu, Lu Lin and Tiejun Tong (2019). Robust estimation of derivatives using locally weighted least absolute deviation regression. Journal of Machine Learning Research, 20(60): 149.
Zongliang Hu, Tiejun Tong and Marc G. Genton (2019). Diagonal likelihood ratio test for equality of mean vectors in highdimensional data. Biometrics, 75: 256267.
Yan Zhou, Jiadi Zhu, Tiejun Tong, Junhui Wang, Bingqing Lin and Jun Zhang (2019). A statistical normalization method and diﬀerential expression analysis for RNAseq data between diﬀerent species. BMC Bioinformatics, 20: 163.
Yanfei Liu, Yingke Zhao, Jinfan Tian, Tiejun Tong, Rui Gao and Yue Liu (2019). The association of depression following percutaneous coronary intervention with adverse cardiovascular events: protocol for a systematic review and metaanalysis. Medicine, 98(2): e13952.
Yiping Yang, Tiejun Tong and Gaorong Li (2019). SIMEX estimation for singleindex model with covariate measurement error. AStA Advances in Statistical Analysis, 103: 137161.
H. Zhu, L.Z. Liao, and M. K. Ng, ``Multiinstance dimensionality reduction via sparsity and orthogonality'', Neural Comput., 30(12), 32813308, 2018.
H. W. Yue, L.Z. Liao, and X. Qian, ``Two interior point continuous trajectory models for convex quadratic programming with bound constraints'', PJO, 14(3), 527550, 2018.
H. Zhu, C. Chen, L.Z. Liao, and M. K. Ng, ``Multiple graphs clustering by gradient flow method'', J. Franklin Institute, 355(4), 18191845, 2018.
X. Qian, L.Z. Liao, J. Sun, and H. Zhu, ``The convergent generalized central paths for linearly constrained convex programming'', SIAM J. Optim., 28(2), 11831204, 2018.
X. Qian and L.Z. Liao, ``Analysis of the primal affine scaling continuous trajectory for convex programming'', PJO, 14(2), 261272, 2018.
J. Sun, L.Z. Liao, and B. Rodrigues, ``Quadratic twostage stochastic optimization with coherent measures of risk'', Math. Prog., B, 168 (12), 599613, 2018.
Cheng, M.Y., Huang, T., Liu, P., and Peng, H. (2018). Bias reduction for nonparametric and semiparametric regression models. Statistica Sinica, 28, 27492770.
Cheng, M.Y., Feng, S., Li, G., and Lian, H. (2018). Greedy forward regression for variable screening. Australian & New Zealand Journal of Statistics, 60, 2042.
A. Petras, L. Ling and S. Ruuth. An RBFFD closest point method for solving PDEs on surfaces. Journal of Computational Physics. 370: 4357. 2018.
F. L. Yang, L. Yan and L. Ling. Doubly stochastic radial basis function methods. Journal of Computational Physics. 363: 8797. 2018.
X. Guo and L. Ling. Evaluation finite moment logstable option pricing by a spectral method. Numerical Mathematics: Theory, Methods and Applications. 11(3): 437452. 2018.
L. Ling and Q. Ye. On meshfree numerical differentiation. Analysis and Applications. 16(5): 717739. 2018.
L. Ling and S.N. Chiu. Fully adaptive kernelbased methods. International Journal for Numerical Methods in Engineering. 114(4): 454467. 2018.
K.C. Cheung and L. Ling. A kernelbased embedding method and convergence analysis for surfaces PDEs. SIAM Journal on Scientific Computing. 40(1), A266A287. 2018.
K.C. Cheung, L. Ling and R. Schaback. H2convergence of leastsquares kernel collocation methods. SIAM Journal on Numerical Analysis. 56(1): 614633. 2018.
ZM Boyd, E Bae, XC Tai, AL Bertozzi, Simplified energy landscape for modularity using total variation, SIAM Journal on Applied Mathematics, 78(5), 24392464, 2018/9/13.
Z Liu, S Wali, Y Duan, H Chang, C Wu, XC Tai, Proximal ADMM for Euler's elastica based image decomposition model, Numer. Math. Theory Methods Appl., 12(2), 370402, 2018/9.
L Huo, S Luo, Y Dong, XC Tai, Y Wang, An Iteration Method for XRay CT Reconstruction from VariableTruncation Projection Data, Scale Space and Variational Methods in Computer Vision, 11603, 144155, 2019/06/05.
LF Li, S Luo, XC Tai, J Yang, A Variational Convex Hull Algorithm, Scale Space and Variational Methods in Computer Vision, 11603, 224235, 2019/06/05.
Zhubae Egil, XueCheng Tai, Wei, Augmented lagrangian method for an euler's elastica based segmentation model that promotes convex contours., Inverse Problems & Imaging, 11(1), p112. 23p, 2017.
Xuecheng Tai, Jinming Duan, A simple fast algorithm for minimization of the elastica energy combining binary and level set representations, International Journal Of Numerical Analysis And Modeling, 14(6), 809821, 2017.
Ke Wei, Ke Yin, XueCheng Tai, Tony F. Chan, New region force for variational models in image segmentation and high dimensional data clustering, Annals of Mathematical Sciences and Applications, 3(1), 255 – 286, 2018.
Guanghui Hu, Xucheng Meng and Tao Tang, On Robust and Adaptive Finite Volume Methods for Steady Euler Equations, in "Theory, Numerics and Applications of Hyperbolic Problems II", Springer, 2018, pp. 119.
T. Tang and J. Yang, Computing the maximal eigenpairs of large size tridiagonal matrices with O(1) number of iterations, Numer. Math. Theor. Meth. Appl. 11(4) (2018), 877894.
T. Tang, H. Yuan and T. Zhou, Hermite Spectral Collocation Methods for Fractional PDEs in Unbounded Domains, 10.4208/cicp.2018.hh80.12 Commun. Comput. Phys., 24 (2018), 11431168.
Jin, L. B., Xu, W. L., Zhu, L. P., Zhu, L. X. (2018). Penalized Maximum Likelihood Estimation for Skew Normal Mixtures (in Chinese). Sci Sin Math., 48, 125
Guo, X. Chan, R., Wong, W. and Zhu, Lixing (2018). MeanVariance, MeanVaR, MeanCVaR models for portfolio selection with background risk, Risk Management, 20, 77 – 94
Chen, F., Shi, L., Zhu, X. H. and Zhu, Lixing (2018). Generalized principal Hessian directions for mixture multivariate skew elliptical distributions, Journal of Multivariate Analysis, 168, 142159
Niu, C., Guo, X., Li, Y. and Zhu, Lixing (2018). Pairwise Distancebased Tests for Conditional Symmetry, Computational Statistics and Data Analysis, 128, 145162
Guo, X. and Zhu, Lixing (2018). Semiparametric Double Robust and Efficient Estimation for Mean Response with Missing at Random, Computational Statistics and Data Analysis, 128, 325339
Xie, C. L. and Zhu, Lixing (2018). A Minimum ProjectedDistance Test for Parametric SingleIndex Berkson Models. TEST, 27, 700  715. (b)
Zhao, J. L, Zhao, H. Y. and Zhu, Lixing (2018). Pivotal variable detection of the covariance matrix and its application to highdimensional factor models, Statistics and Computing, 28, 775  793. (b)
Zhu, X. H. and Zhu, Lixng (2018). Dimension reductionbased significance testing in nonparametric regression, Electronic Journal of Statistics, 12, 14681506.
Wang, T. and Zhu, Lixing (2018). Flexible dimension reduction in regression, Statistica Sinica, 28, 10091029
Fan, G. L., Liang, H. Y. and Zhu, Lixing (2018). Penalized profile least squaresbased statistical inference for varying coefficient partially linear errorsinvariables models. Science in China: Mathematics, 61, 16771694.
Niu, C. Z. and Zhu Lixng (2018). A robust adaptivetomodel enhancement test for parametric singleindex models, Annals of Institute of Statistical Mathematics, 70, 10131045. (b)
Fan, Y., Härdle, W., Wang, W., and Zhu, Lixing (2018). Single index based CoVaR with very high dimensional covariates, the Journal of Business & Economic Statistics, 36, 212226.(b)
Niu, C., Guo, X. and Zhu, Lixing (2018). Enhancements of nonparametric generalized likelihood ratio test: Biascorrection and dimension reduction, Scand. J. of Stat., 45, 217254. (b)
Wang, T., Chen, M. J., Zhao, H. and Zhu, Lixing (2018). Estimating a sparse reduction for general regression in high dimensions, Statistics and Computing, 28, 3346
Tan, F. L., Zhu, X. H. and Zhu, Lixing (2018). A projectionbased adaptivetomodel test for regressions. Statistica Sinica, 28, 157 188.
Guo, X., Wagener, A., Wong, W., and Zhu, Lixing (2018). The twomoment decision model with additive risks, Risk Management, 20, 7794. (SUIBE)
Shara I. Feld, Jun Fan, Ming Yuan, Yirong Wu, Kaitlin M. Woo, Roxana Alexandridis, and Elizabeth S. Burnside. Utility of Genetic Testing in Addition to Mammography for Determining Risk of Breast Cancer Depends on Patient Age, AMIA Jt Summits Transl Sci Proc., 8190, 2018.
Yirong Wu, Jun Fan, Peggy Peissig, Richard Berg, Ahmad Pahlavan Tafti, Jie Yin, Ming Yuan, David Page, Jennifer Cox, and Elizabeth S. Burnside. Quantifying predictive capability of electronic health records for the most harmful breast cancer, Proc SPIE Int Soc Opt Eng., 10577:105770J, 2018.
S. Hon, Preconditioning for Toeplitzrelated systems, DPhil thesis, University of Oxford, 2018.
S. Hon, Optimal preconditioners for systems defined by functions of Toeplitz matrices, Linear Algebra and its Applications, 548:148171, 2018.
M. Hammerschmidt, J. Pabisiak, A. PerezGea, N. Julian, S. Hon, and S. Burger, Efficient finiteelementbased numerical modelling of large subwavelength patterned optical structures, Proc. SPIE 10542, High Contrast Metastructures VII, 105421G, 2018.
S. Hon and A. Wathen, Circulant preconditioners for analytic functions of Toeplitz matrices, Numerical Algorithms, 79:12111230, 2018.
F Kwok. Numerical methods for spectral theory, Spectral Theory and Applications 720, 101, 2018
MJ Gander, F Kwok. Numerical analysis of partial differential equations using maple and MATLAB, Society for Industrial and Applied Mathematics, 2018
Y Gu, F Kwok. Optimized Schwarzbased Nonlinear Preconditioning for Elliptic PDEs, International Conference on Domain Decomposition Methods, 260267, 2018
MJ Gander, F Kwok, H Zhang, Multigrid interpretations of the parareal algorithm leading to an overlapping variant and MGRIT, Computing and Visualization in Science 19 (3), 5974, 2018
Zhang, F. P., Peng, H. and Zhou, Y. (2018), FineGray proportional subdistribution hazards model for competing risks data under lengthbiased sampling, Statistics and its inference, accepted.
Zhang, J., Feng, Z. H. and Peng, H. (2018), Estimation and hypothesis test for partial linear multiplicative models, Computational Statistics and Data Analysis, 128, 87103.
Xu, P. R., Peng, H. and Huang, T. (2018), Unsupervised learning of mixture regression models for longitudinal data, Computational Statistics and Data Analysis, 125, 4456.
Zhao, J. X., Peng, H. and Huang, T. (2018), Variance Estimation for Semiparametric Regression Models by Local Averaging, Test, 27, 453476.
Cheng, M. Y., Huang, T., Liu, P. and Peng, H. (2018), Bias Reduction for Nonparametric and Semiparametric Regression Models, Statistica Sinica, 28, 27492770.
Dehui Luo, Xiang Wan, Jiming Liu and Tiejun Tong (2018). Optimally estimating the sample mean from the sample size, median, midrange and/or midquartile range. Statistical Methods in Medical Research, 27: 17851805.
Fengyang He, Yebin Cheng and Tiejun Tong (2018). Nonparametric estimation of extreme conditional quantiles with functional covariate. Acta Mathematica Sinica, English Series, 34: 15891610.
Yan Zhou, Xiang Wan, Baoxue Zhang and Tiejun Tong (2018). Classifying nextgeneration sequencing data using a zeroinﬂated Poisson model. Bioinformatics, 34: 13291335.
Yuejin Zhou, Yebin Cheng, Wenlin Dai and Tiejun Tong (2018). Optimal diﬀerencebased estimation for partially linear models. Computational Statistics, 33: 863885.
Wenlin Dai, Yuejin Zhou and Tiejun Tong (2018). Testing discontinuities in nonparametric regression. Journal of Applied Statistics, 45: 450473.
Yingke Zhao, Branda YeeMan Yu, Yanfei Liu, Tiejun Tong and Yue Liu (2018). Weight reduction and cardiovascular beneﬁts: Protocol for a systematic review and metaanalysis. Medicine, 97(50): e13246.
X. B. Gao and L.Z. Liao, A novel neural network for generally constrained variational inequalities, IEEE TNNLS, 28 (9), 20622075, 2017.
H. Zhu, X. Zhang, D. Chu, and L.Z. Liao, ``Nonconvex and nonconvex optimization with generalized orthogonality constraints: an approximate augmented Lagrangian method'', J. Sci. Comput. 72, 331372, 2017.
X. Qian, L.Z. Liao, and J. Sun, ``Analysis of some interior point continuous trajectories for convex programming'', Optimization, 66 (4), 589608, 2017.
K.C. Cheung and L. Ling. Convergence studies for an adaptive meshless leastsquares collocation method. International Journal of Computational Methods and Experimental Measurements. 5(3): 377386. 2017.
K.C. Cheung and L. Ling. Meshless collocation methods with graph Laplacian for PDEs on folded surface. Neural, Parallel, and Scientific Computations. 25: 7990. 2017.
Z. J. Fu, Q. Xi, L. Ling and C.Y. Cao. Numerical investigation on the effect of tumor on the thermal behavior inside the skin tissue. International Journal of Heat and Mass Transfer. 108, Part A, 1154–1163. 2017.
X. Yang, W. Chen, R. Xiao and L. Ling. A fractional model for timevariant nonNewtonian flow. Thermal Science. 21(1A): 6168. 2017.
Jing Yuan, Ke Yin, YiGuang Bai, XiangChu Feng, XueCheng Tai, BregmanProximal Augmented Lagrangian Approach to Multiphase Image Segmentation, International Conference on Scale Space and Variational Methods in Computer Vision, 524534, 2017, Conference Proceeding.
Ke Yin, XueCheng Tai, An effective region force for some variational models for learning and clustering, Journal of Scientific Computing, 74(1), 175196, 2018.
HeiLong Chan, Shi Yan, LokMing Lui, XueCheng Tai, TopologyPreserving Image Segmentation by Beltrami Representation of Shapes, Journal of Mathematical Imaging and Vision, 60(3), 401421, 2018.
E Bae, XC Tai, W Zhu, Augmented lagrangian method for an euler's elastica based segmentation model that promotes convex contours, Inverse Problems and Imaging, 11(1), 123, 2017.
Xuecheng Tai, Jinming Duan, A simple fast algorithm for minimization of the elastica energy combing binary and level set representations, International Journal of Numerical analysis and modelling, 2017, to appear.
K Yin, XC Tai, An effective region force for some variational models for learning and clustering, Journal of Scientific Computing, 121, 2017, online publication.
B. Gong, W. Liu, T. Tang, W. Zhao, and T. Zhou, An efficient gradient projection method for Stochastic optimal control problems, SIAM J. Numer. Anal. 55(6) (2017), 29823005.
Li, Z. X., Chen, F. and Zhu, Lixing (2017). Estimating moments in ANOVAtype mixed models, Metrika, 80, 697  715. (suibe)
KaKit Chua, Adrian Wong, Kam Wa Chan, YinKei Lau, Zhao Xiang Bian, JiaHong Lu, LiangFeng Liu, LeiLei Chen, KaHo Chan, KimPong Tse, Anne Chan, Juxian Song, Justin CY Wu, Lixing Zhu, Vincent C. Mok and Min Li (2017). A Randomized Controlled Trial of Chinese Medicine on Nonmotor Symptoms in Parkinson’s Disease. Parkinson’s Disease, (IF 1.722), Article ID 1902708, 8 pages.
Alghalith, M., Guo, X., Wong, W. K. and Zhu, Lixing (2017). Input Demand under Joint Energy and Output Prices Uncertainties, AsiaPacific Journal of Operational Research, 34, 1750018 (2017) (b)
Wong, W. K., Guo, X. and Zhu, Lixing (2017). A Bayesian Approach to Excess Volatility, Shortterm Underreaction and Longterm Overreaction during Financial Crises, North American Journal of Economics and Finance, 42, 346358. (b)
Dai,W. L., Tong, T. J. and Zhu, Lixing (2017). Optimal sequence or ordinary sequence? A unified framework for variance estimation in nonparametric regression, Statistical Science, 32, 455468.
Zeng, B., Wen, X. R. and Zhu, Lixing (2017). A linkfree sparse group variable selection method for single index model, Journal of Applied Statistics, 44, 23882400.
Guo, X. and Zhu, Lixing (2017). A review on dimensionreduction based tests for regressions, From Statistics to Mathematical Finance, Festschrift in Honour of Winfried Stute, 105128, Springer.
Gai, Y. J., Li, F., Yin, Z., Lin, L. and Zhu, Lixing (2017). Asymptotics for adaptive Dantzig selector. Science in China: Mathematics, 47, 869886. In Chinese, (s)
Feng, L., Zou, C. L., Wang, Z. J. and Zhu, Lixing (2017). Composite T2 test for highdimensional data, Statistica Sinica, 27, 14191436
Lin, L., Dong, P., Song, Y. and Zhu, Lixing (2017). Upper Expectation Parametric Regression, Statistica Sinica, 27, 12651280
Zhu, X. H., Guo, X. and Zhu, Lixing (2017). An adaptivetomodel test for partially parametric singleindex models, Statistics and Computing, 27, 11931204 (b).
Niu, C. Z. and Zhu, Lixing (2017). An adaptivetomodel test for parametric singleindex models with missing responses. Electronic Journal of Statistics, 11, 1491  1526. (b)
Wu P., Luo X. C., Xu P. R. and Zhu Lixing (2017). New variable selection for linear mixedeffects models. Annals of Institute of Statistical Mathematics, 69, 627646. (b)
Guan, Y., Xie, C.L. and Zhu, Lixing (2017). Sufficient dimension reduction with mixture multivariate skew elliptical distributions, Statistica Sinica, 27, 335355.
Wang, T., Wen, X. R. and Zhu, Lixing (2017). Multiplepopulation Shrinkage Estimation via Sliced Inverse Regression, Statistics and Computing, 27, 103114 (b)
Yu, W., Xu, W. L. and Zhu,Lixing (2017). A Modified HosmerLemeshow Test for Large Data Sets, Communications in Statistics: Theory and Methods, 46, 1181311825 (s)
Zhu, X. H., Wang, T., Zhao, J. L. and Zhu, Lixing (2017). Inference for biased transformation models. Computational Statistics and Data Analysis, 109, 105120 (b).
Yulong Zhao, Jun Fan and Lei Shi. Learning rates for regularized least squares ranking algorithm. Analysis and Applications, 15(6):815836, 2017.
E. McDonald, S. Hon, J. Pestana, and A. Wathen, Preconditioning for nonsymmetry and timedependence, pages 8191. Springer International Publishing, Cham, 2017.
MJ Gander, F Kwok, BC Mandal. Convergence of substructuring methods for elliptic optimal control problems, International Conference on Domain Decomposition Methods, 291300, 2017
R Haynes, F Kwok, Discrete analysis of domain decomposition approaches for mesh generation via the equidistribution principle, Mathematics of Computation 86 (303), 233273, 2017
Lu, Y., Peng, H., Zhao, J. Deng, Z., Huang, J. Zhang, J., Deng, J., Wang, Z. and Wei, C. (2017), Ubiquitous blood pressure monitoring using EEG and PPG signals, UbiComp, 17 Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 257260.
Cui, X., Lu, Y. and Peng, H. (2017), Application of Partial Consistency to Partially Linear Regression Model, Computational Statistics and Data Analysis, 115, 103121.
Yan, F., Zhang, C. Q. and Peng, H. (2017), Optimal Designs for Additive Mixture Model with Heteroscedastic Errors, Communications in Statistics  Theory and Methods, 46, 64016411.
Huang, T., Peng, H. and Zhang, K. (2017), Model Selection for Gaussian Mixture Models, Statistica Sinica, 27, 149169.
Wenlin Dai, Tiejun Tong and Lixing Zhu (2017). On the choice of difference sequence in a unified framework for variance estimation in nonparametric regression. Statistical Science, 32: 455468.
Yan Zhou, Baoxue Zhang, Gaorong Li, Tiejun Tong and Xiang Wan (2017). GDRDA: A new regularized discriminant analysis for high dimensional data. Journal of Computational Biology, 24: 10991111.
Zongliang Hu, Kai Dong, Wenlin Dai and Tiejun Tong⋆ (2017). A comparison of methods for estimating the determinant of highdimensional covariance matrix. International Journal of Biostatistics, 13: 20170013.
Baohong Yuan, Ruhong Li,Weiping Yuan, Tian Yang, Tiejun Tong, Ningfu Peng, Lequn Li, Jianhong Zhong (2017). Harms and benefits of adoptive immunotherapy for postoperative hepatocellular carcinoma: an updated review. Oncotarget, 8: 1853718549.
Yong Yuan, Tiejun Tong, Xiaoxi Zeng, Yushang Yang, Ziqiang Wang, Yuncang Wang, Junhe Gou and Longqi Chen (2017). Longitudinal study of esophageal mu cosal damage after esophagectomy and gastric interposition: relationship between reﬂuxrelated mucosal injury and Notch signaling. Journal of Thoracic Disease, 9, 52495260.
Yujie Li, Gaorong Li and Tiejun Tong (2017). Sequential proﬁle Lasso for ultrahigh dimensional partially linear models. Statistical Theory and Related Fields, 1: 234245.
Yujie Li, Gaorong Li, Heng Lian and Tiejun Tong (2017). Profile forward regression screening for ultrahigh dimensional semiparametric varying coefficient partially linear models. Journal of Multivariate Analysis, 155: 133150.
H. Wang, R. Li, and T. Tang, Efficient computation of dentritic growth with
radaptive finite element methods, J. Comput. Phys. 227 (2008), 59846000.
Yana Di, Ruo Li, and T. Tang, A general moving mesh framework in 3D and its
application for simulating the mixture of multiphase flows, Commun. Comput.
Phys. 3 (2008), 582602.
L. Yuan and T. Tang, Resolving the shockinduced combustion by an adaptive
mesh redistribution method, J. Comput. Phys. 224 (2007), 587600.
L. G. Xue and L. X. Zhu, Empirical likelihood for a varying coefficient
model with longitudinal data, to appear in J. Amer. Statist. Assoc., 2007.
L. G. Xue and L. X. Zhu, Empirical likelihood semiparametric regression
analysis for longitudinal data, to appear in Biometrika, 2007.
G. L. Tian, J. W. Yu, M. L. Tang, and Z. Geng, A new nonrandomized model
for analyzing sensitive questions with binary outcomes, Statistics in
Medicine 26 (2007), 42384252.
H. Fu, M. Ng, and J. Barlow, Structured total least squares for color image
restoration, SIAM J. Sci. Comput. 28 (2007), 11001119.
Z. Bai, G. Golub, and M. Ng, On inexact Hermitian and skewHermitian
splitting methods for nonHermitian positive definite linear systems, to
appear in Linear Algebra Appl., 2007.
L. X. Zhu and L. G. Xue, Empirical likelihood confidence regions in a
partially linear singleindex model, J. Roy. Statist. Soc. B 68 (2006),
549570.
Chuanju Xu and T. Tang, Stability analysis of large timestepping methods
for epitaxial growth models, SIAM J. Numer. Anal. 44 (2006), 17591779.
L. Ling, Y. C. Hon, M. Yamamoto, and T. Takeuchi, Identification of source
locations in twodimensional heat equations, Inverse Problems 22 (2006), no.
4, 12891305.
G. H. Golub and L. Z. Liao, Continuous methods for extreme and interior
eigenvalue problems, Linear Algebra Appl. 415 (2006), 3151.
H. Fu, M. Ng, M. Nikolova, and J. L. Barlow, Efficient minimization methods
of mixed l1l1 and l2l1 norms for image restoration, SIAM J. Sci. Comput.
27 (2006), 18811902.
K. T. Fang, Dietmar Maringer, Yu Tang, and Peter Winker, Lower bounds and
stochastic optimization algorithms for uniform designs with three or four
levels, Math. Comp. 75 (2006), 859878.
Yana Di, Ruo Li, T. Tang, and Pingwen Zhang, Moving mesh methods for
singular problems on a sphere using perturbed harmonic mappings, SIAM J.
Sci. Comput. 28 (2006), 14901508.
M. Benzi and M. Ng, Preconditioned iterative methods for weighted toeplitz
least squares problems, SIAM J. Matrix Anal. Appl. 27 (2006), 11061124.
Aijun Zhang, K. T. Fang, Runze Li, and Agus Sudjianto, Majorization
framework for balanced lattice designs, The Annals of Statistics 33 (2005),
28372853.
Z. Yin, Li Yuan, and T. Tang, A new parallel strategy for twodimensional
incompressible flow simulations using pseudospectral methods, J. Comput.
Phys. 210 (2005), 325341.
X. Wu and J. Jin, A finite element method for stokes equations using
discrete singularity expansion, Comput. Methods Appl. Mech. Engrg. 194
(2005), 83101.
M. L. Tang, NianSheng Tang, and SiuFung Chan, Confidence interval
construction for proportion difference in smallsample paired studies,
Statistics in Medicine 24 (2005), 35653579.
K. T. Fang, Yu Tang, and Jianxing Yin, Lower bounds for wraparound
L2discrepancy and constructions of symmetrical uniform designs, J.
Complexity 21 (2005), 757771.
Boris N. Azarenok and T. Tang, Secondorder Godunovtype scheme for reactive
flow calculations on moving meshes, J. Comput. Phys. 206 (2005), 4880.
X. Wu, B. P. B. Silva, and J. Y. Yuan, Conjugate gradient method for rank
deficient saddle point problems, Numer. Algorithms 35 (2004), 139154.
Z. Tan, Z. Zhang, Y. Huang, and T. Tang, Moving mesh methods with locally varying time steps, J. Comput. Phys. 200 (2004), 347367.
W. B. Liu, H. P. Ma, T. Tang, and N. Yan, A posteriori error estimates for
DG timestepping method for optimal control problems governed by parabolic
equations, SIAM J. Numer. Anal. 42 (2004), no. 3, 10321061.
Y. Q. Huang, ZhongCi Shi, T. Tang, and W. M. Xue, A multilevel successive
iteration methods for nonlinear elliptic problems, Math. Comp. 73 (2004),
no. 246, 525539.
F. J. Hickernell, I. H. Sloan, and G. W. Wasilkowski, On strong tractability
of weighted multivariate integration, Math. Comp. 73 (2004), 19031911.
S. Heinrich, F. J. Hickernell, and R. X. Yue, Optimal quadrature for Haar
wavelet spaces, Math. Comp. 73 (2004), 259277.
X. B. Gao, L. Z. Liao, and W. M. Xue, A neural network for a class of convex quadratic minimax problems with constraints, IEEE Trans. Neural Networks 15
(2004), no. 3, 622628.
K. T. Fang and G. N. Ge, A sensitive algorithm for detecting the
inequivalence of Hadamard matrices, Math. Comp. 73 (2004), no. 246, 843851.
Q. Y. Chen, T. Tang, and Z. H. Teng, A fast numerical method for integral
equations of the first kind with logarithmic kernel using mesh grading, J.
Comput. Math. 22 (2004), no. 2, 287298.
S. Y. Cheng, C.W. Shu, and T. Tang (eds.), Recent advances in scientific
computing and partial differential equations, AMS Series in Contemporary
Mathematics, vol. 330, American Mathematical Society, Providence, Rhode
Island, 2003.
S. N. Chiu, Spatial point pattern analysis by using Voronoi diagrams and
Delaunay tessellations  a comparative study, Biometrical J. 45 (2003), no.
3, 367376.
B. S. He, L. Z. Liao, and S. L. Wang, Selfadaptive operator splitting
methods for monotone variational inequalities, Numer. Math. 94 (2003), no.
4, 715737.
F. J. Hickernell and H. Niederreiter, The existence of good extensible
rank1 lattices, J. Complexity 19 (2003), 286300.
K. T. Fang, D. K. J. Lin, and H. Qin, A note on optimal foldover
design, Statist. Prob. Letters 62 (2003), 245250.
K. T. Fang, X. Lu, and P. Winker, Lower bounds for centered and wraparound
l2discrepancies and construction of uniform designs by the threshold
accepting, J. Complexity 19 (2003), no. 5, 692711.
C. X. Ma, K. T. Fang, and D. K. J. Lin, A note on uniformity and
orthogonality, J. Statist. Plan. Infer. 113 (2003),
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H. Z. Tang and T. Tang, Adaptive mesh method for one and twodimensional
hyperbolic conservation law, SIAM J. Numer. Anal. 41 (2003), no. 2, 487515.
H. Z. Tang, T. Tang, and P. W. Zhang, An adaptive mesh redistribution
method for nonlinear hamiltonjacobi equations in two and three dimensions,
J. Comput. Phys. 188 (2003), 543572.
T. Tang, Z.H. Teng, and Z.P. Xin, Fractional rate of convergence for
viscous approximation to nonconvex conservation laws, SIAM J. Math. Anal. 35
(2003), no. 1, 98122.
X. Wu and W. Xue, Discrete boundary conditions for elasticity problems
with singularities, Comp. Meth. Appl. Mech. Eng. 192 (2003), 37773795.
K. T. Fang, Theory, method and applications of the uniform design,
International J. Reliability, Quality, and Safety Engineering 9 (2002), 305315.
K. T. Fang, C. X. Ma, and R. Mukerjee, Uniformity in fractional factorials,
Monte Carlo and QuasiMonte Carlo Methods 2000 (K. T. Fang, F. J. Hickernell,
and H. Niederreiter, eds.), SpringerVerlag, Berlin, 2002, pp. 232241.
K. T. Fang and H. Qin, A note on construction of nearly uniform designs
with large number of runs, Statist. Prob. Letters 61 (2002), 215224.
J. C.M. Fok, B.Y. Guo, and T. Tang, Combined Hermite spectralfinite
difference method for the FokkerPlanck equations, Math. Comp. 71 (2002), 14971528.
F. J. Hickernell and M. Q. Liu, Uniform designs limit aliasing,
Biometrika 89 (2002), 893904.
R. Li, W.B. Liu, H. P. Ma, and T. Tang, Adaptive finite element
approximation for distributed elliptic optimal control problems, SIAM
J. Control Optim. 41 (2002), 13211349.
R. Li, T. Tang, and P.W. Zhang, A moving mesh finite element algorithm
for singular problems in two and three space dimensions, J. Comput.
Phys. 177 (2002), 365393.
C. L. Mei and W. X. Zhang, Testing for linear regression relationgship
based on lacally weighted techniques, J. Systems Sci. Math. Sci. 22 (2002), 467480 (Chinese).
J. X. Pan and K. T. Fang, Growth curve models and statistical diagnostics,
Springer, New York, 2002.
G.H. Golub, X.Wu, and J.Y. Yuan, Sorlike methods for augmetned
systems, BIT 41 (2001), 7185.
Y. X. Kan, T. Tang, and Z. H. Teng, On the piecewisely smooth solutions
to nonhomogeneous scalar conservation laws, J. Differential Equations
175 (2001), 2750.
R. Li, T. Tang, and P.W. Zhang, Moving mesh methods in multiple
dimensions based on harmonic maps, J. Comput. Phys. 170 (2001), 562588.
