Relaxed parallel two-stage multisplitting methods. - Tongxiang Gu; Xingping Liu; Longjun Shen (Int. J. Comput. Math., 2000)

Relaxed parallel two-stage multisplitting methods II: Asynchronous version. - Tongxiang Gu; Xingping Liu; Xuebin Chi (Int. J. Comput. Math., 2003)

Multiple search direction conjugate gradient method I: methods and their propositions. - Tongxiang Gu; Xingping Liu; Zeyao Mo; Xuebin Chi (Int. J. Comput. Math., 2004)

Multiple search direction conjugate gradient method II: theory and numerical experiments. - Tongxiang Gu; Xingping Liu; Zeyao Mo; Xuebin Chi (Int. J. Comput. Math., 2004)

Improved QMRCGSTAB method in distributed parallel environments. - Xingping Liu; Tongxiang Gu; Zhiqiang Sheng; Xudeng Hang (Int. J. Comput. Math., 2005)

A parallel version of QMRCGSTAB method for large linear systems in distributed parallel environments. - Xingping Liu; Tongxiang Gu; Xudeng Hang; Zhiqiang Sheng (Appl. Math. Comput., 2006)

An improved bi-conjugate residual algorithm suitable for distributed parallel computing. - Tongxiang Gu; Xianyu Zuo; Li-Tao Zhang; Wan-qin Zhang; Zhiqiang Sheng (Appl. Math. Comput., 2007)

A class of preconditioners based on the (I+S(alpha))-type preconditioning matrices for solving linear systems. - Yong Zhang 048; Ting-Zhu Huang; Xing-Ping Liu; Tongxiang Gu (Appl. Math. Comput., 2007)

Convergence of relaxed multisplitting USAOR methods for H-matrices linear systems. - Li-Tao Zhang; Ting-Zhu Huang; Tongxiang Gu; Xin-Lan Guo (Appl. Math. Comput., 2008)

Global relaxed non-stationary multisplitting multi-parameter methods. - Li-Tao Zhang; Ting-Zhu Huang; Tongxiang Gu (Int. J. Comput. Math., 2008)

New block triangular preconditioner for linear systems arising from the discretized time-harmonic Maxwell equations. - Ting-Zhu Huang; Li-Tao Zhang; Tongxiang Gu; Xianyu Zuo (Comput. Phys. Commun., 2009)

A class of approximate inverse preconditioners for solving linear systems. - Yong Zhang 048; Ting-Zhu Huang; Xing-Ping Liu; Tongxiang Gu (Int. J. Comput. Math., 2009)

An improved GPBi-CG algorithm suitable for distributed parallel computing. - Xianyu Zuo; Tongxiang Gu; Zeyao Mo (Appl. Math. Comput., 2010)

Conjugate residual squared method and its improvement for non-symmetric linear systems. - Li-Tao Zhang; Xianyu Zuo; Tongxiang Gu; Ting-Zhu Huang; Jiang-Hua Yue (Int. J. Comput. Math., 2010)

Chebyshev-type methods and preconditioning techniques. - Hou-Biao Li; Ting-Zhu Huang; Yong Zhang 048; Xing-Ping Liu; Tongxiang Gu (Appl. Math. Comput., 2011)

A note on parallel multisplitting TOR method for H-matrices. - Li-Tao Zhang; Ting-Zhu Huang; Shao-hua Cheng; Tongxiang Gu; Yan-Ping Wang (Int. J. Comput. Math., 2011)

Improved convergence theorems of multisplitting methods for the linear complementarity problem. - Li-Tao Zhang; Xianyu Zuo; Tongxiang Gu; Xing-Ping Liu (Appl. Math. Comput., 2014)

Convergence improvement of relaxed multisplitting USAOR methods for H-matrices linear systems. - Li-Tao Zhang; Yong-Wei Zhou; Tongxiang Gu; Xing-Ping Liu (Appl. Math. Comput., 2014)

Minimizing synchronizations in sparse iterative solvers for distributed supercomputers. - Sheng-Xin Zhu; Tongxiang Gu; Xing-Ping Liu (Comput. Math. Appl., 2014)

Convergence of Relaxed Matrix Parallel Multisplitting Chaotic Methods for H-Matrices. - Li-Tao Zhang; Jian-Lei Li; Tongxiang Gu; Xing-Ping Liu (J. Appl. Math., 2014)

An improved generalized conjugate residual squared algorithm suitable for distributed parallel computing. - Xianyu Zuo; Li-Tao Zhang; Tongxiang Gu (J. Comput. Appl. Math., 2014)

BiELL: A bisection ELLPACK-based storage format for optimizing SpMV on GPUs. - Cong Zheng; Shuo Gu; Tongxiang Gu; Bing Yang; Xing-Ping Liu (J. Parallel Distributed Comput., 2014)

On the Memory Wall and Performance of Symmetric Sparse Matrix Vector Multiplications In Different Data Structures on Shared Memory Machines. - Tongxiang Gu; Xingping Liu; Zeyao Mo; Xiaowen Xu; Shengxin Zhu (UIC/ATC/ScalCom, 2015)

Overlapping restricted additive Schwarz method with damping factor for H-matrix linear complementarity problem. - Li-Tao Zhang; Tongxiang Gu; Xing-Ping Liu (Appl. Math. Comput., 2015)

Information Splitting for Big Data Analytics. - Shengxin Zhu; Tongxiang Gu; Xiaowen Xu; Zeyao Mo (CyberC, 2016)

Multi-core parallel robust structured multifrontal factorization method for large discretized PDEs. - Xianyu Zuo; Zeyao Mo; Tongxiang Gu; Xiaowen Xu; Aiqing Zhang (J. Comput. Appl. Math., 2016)

The convergence theory for the restricted version of the overlapping Schur complement preconditioner. - Xin Lu; Xing-Ping Liu; Tongxiang Gu (Appl. Math. Comput., 2018)

AIMS: Average information matrix splitting. - Shengxin Zhu; Tongxiang Gu; Xingping Liu (Math. Found. Comput., 2020)

A Class of Fast and Accurate Multi-layer Block Summation and Dot Product Algorithms. - Kang He; Roberto Barrio; Lin Chen 028; Hao Jiang 001; Jie Liu 002; Tongxiang Gu; Jin Qi (NPC, 2021)

A fast parallel high-precision summation algorithm based on AccSumK. - Xiaojun Lei; Tongxiang Gu; Stef Graillat; Hao Jiang 001; Jin Qi (J. Comput. Appl. Math., 2022)

Comparison of Reproducible Parallel Preconditioned BiCGSTAB Algorithm Based on ExBLAS and ReproBLAS. - Xiaojun Lei; Tongxiang Gu; Stef Graillat; Xiaowen Xu; Jing Meng (HPC Asia, 2023)

A deep learning method for multi-material diffusion problems based on physics-informed neural networks. - Yanzhong Yao; Jiawei Guo; Tongxiang Gu (CoRR, 2023)

Pre-training strategy for solving evolution equations based on physics-informed neural networks. - Jiawei Guo; Yanzhong Yao; Han Wang; Tongxiang Gu (J. Comput. Phys., 2023)

Multi-level parallel multi-layer block reproducible summation algorithm. - Kuan Li; Kang He; Stef Graillat; Hao Jiang 001; Tongxiang Gu; Jie Liu 002 (Parallel Comput., 2023)

XHYPRE: a reliable parallel numerical algorithm library for solving large-scale sparse linear equations. - Chuanying Li; Stef Graillat; Zhe Quan; Tongxiang Gu; Hao Jiang 001; Kenli Li 001 (CCF Trans. High Perform. Comput., 2023)

ddRingAllreduce: a high-precision RingAllreduce algorithm. - Xiaojun Lei; Tongxiang Gu; Xiaowen Xu (CCF Trans. High Perform. Comput., 2023)

2D 3T PINNs for solving 2-D 3-T heat conduction equations based on physics-informed neural networks. - Xiaojun Lei; Tongxiang Gu; Xiaowen Xu; Hengbin An; Yanzhong Yao (Comput. Phys. Commun., 2025)