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       Preprint,  2017,  2016




Preprint


  • C. Zhang and X. Zhang: Renormalized solutions for the fractional p(x)-Laplacian equation with Ldata.

  • K. Teng, C. Zhang and S. Zhou: Renormalized and entropy solutions for the fractional p-Laplacian parabolic equation with Ldata. 

  • X. Lai and Y. Ding: L1-Dini condition and limiting behavior of weak type estimate for singular integrals. Rev. Mat. Ibeoram. 

  • X. Lai and Y. Ding: On a singular integral of Christ-Journé type with homogeneous kernel. Cana. Math. Bull

  • X. Lai and Y. Ding: Weak type (1,1) bound criterion for singular integral with rough kernel and its application. Trans. Amer. Math.Soc. 

  • Y. Pan, J. Fang and J. Wei: Seasonal influence on age-structured invasive species with yearly generation. 

  • H. Berestycki and J. Fang: Forced waves of the Fisher-KPP equation in a shifting environment.

  • Y. Zhang and W. Kohnen: On sign changes of Fourier coefficients of modular forms.

  • Y. Zhang: An isomorphism for spaces of modular forms of half-integral weight.

  • Y. Zhang and K. Joshi: Eigenform product identities for Hilbert modular forms.

  • X. Meng and J. K. Ryan: Divided difference estimates and accuracy enhancement of discontinuous Galerkin methods for nonlinear symmetric systems of hyperbolic conservation laws, IMA Journal of Numerical Analysis.






2017


  • C. Zhang, X. Zhang and S. Zhou: Gradient estiamtes for the strong p(x)-Laplacian equation, Dis. Continuous Dynamical Systems Series A, 37 (7) (2017), 4109–4129.

  • L. Wang, C. Zhangand S. Zhou: Existence and uniqueness of weak solutions for a 2D Low-Curvature equation, J. Math. Anal. Appl. 452 (1) (2017), 297–311.

  • X. Zhang and C. Zhang: Existence of solutions for critical fractional Kirchhoff problems, Mathematica Methods in the Applied Sciences, 40 (5) (2017), 1649–1665.

  • C. Zhang and S. Zhou: The well-posedness of renormalized solutions for a non-uniformly parabolic equation, Proc. Amer. Math. Soc., 145 (6) (2017), 2577–2589.

  • C. Zhangand S. Zhou: Bounded very weak solutions for some non-uniformly elliptic equation with L1 datum, Ann. Acad. Sci. Fenn. Math., 42 (2017), 95–103.

  • Z.-N. Sui: Complete conformal metrics of negative Ricci curvature on Euclidean spaces, J. Geom. Anal. 27 (2017), 893--907.

  • J. Fang, X. Yu and X.-Q. Zhao: Traveling waves and spreading speeds for time-space periodic monotone systems, J. Funct. A. 272 (2017), 4222-4262. 

  • W. Bian and X. Chen: Optimality and complexity for constrained optimization problems with nonconvex regularizationMathematics of Operations Researchhttp://dx.doi.org/10.1287/moor.2016.0837, 2017.

  • Z.Yin, A. W. Harrow, M. Horodecki, M. Marciniak and A. Rutkowski: Random and free observables saturate the Tsirelson bound for CHSH inequality. Phys. Rev. A 95, (2017), 032101.

  • Y. Zhang, K. Lux and N. V. Ngo: Cohomology of SL 2 and related structures, Communications in AlgebraDOI:   0.1080/00927872.2017.1335741.

  • X. Meng, and J. K. Ryan: Discontinuous Galerkin methods for nonlinear scalar hyperbolic conservation laws: divided difference estimates and accuracy enhancement, Numerische Mathematik, 136 (2017), 27-73.

  • Y. Cheng, X. Meng, and Q. Zhang: Application of generalized Gauss--Radau projections for the local discontinuous Galerkin method for linear convection-diffusion equations, Mathematics of Computation, 86 (2017),  1233-1267.

  • S-Y. Ha, J. Lee, and Zhuchun Li: Emergence of local synchronization in an ensemble of heterogeneous Kuramoto oscillators. Networks and Heterogeneous Media, 12(1) (2017), 1-24.

  • L. Ru; X. Xue: Multi-cluster flocking behavior of the hierarchical Cucker-Smale model, Journal of The Franklin Institute, (2017), 354: 2371-2392.

  • J. Chen, Q. Hu, X. Xue, M. Ha,  L. Ma: Support function machine for set-based classification with application to water quality evaluation, Information Sciences, (2017), 388: 48-61.

  • S. Qin, X. Yang, X. Xue, J. Song: A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Problems With Equality and Inequality Constraints, IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2016.2567449.






2016


  • J. Fang and G. Faye: Monotone traveling waves for delayed neural field equations, Mathematical Models and Methods in Applied Sciences, 26 (2016), 1919-1954. 

  • J. Fang, Y. Lou and J. Wu: Can pathogen spread keep pace with its host invasion? SIAM Journal on Applied Mathematics, 76 (2016), 1633-1657. 

  • J. Fang, S. Gourley and Y. Lou: Stage-structured models of intra- and inter-specific competition within age classes, Journal of Differential Equations, 260 (2016), 1918-1953.

  • Y. Zhang: Divisibility properties for weakly holomorphic modular forms with sign vectors, International Journal of Number Theory 12 (8) (2016), 2107-2123.

  • C. Zhang: Global weighted estimates for the nonlinear parabolic equations with non- standard growth, Calc. Var. Partial Differential  Equations, (2016) 55:109.

  • B. Ge and C. Zhang: On the superlinear problems involving the fractional Laplacian, Rev. Acad. Cienc. Ser. A Math, 110 (2016), 343 355.

  • K. Teng and C. Zhang: Infinitely many solutions for quasilinear elliptic equations involving (p,q)-Laplacian in R, Nonlinear Analysis: Real World Applications, 32 (2016), 242– 259.

  • C. Zhang: Gradient estimates for p-Laplacian equation in composite Reifenberg domains, Nonlinear Analysis: Theory, Methods Applications, 133 (2016), 134–143. 

  • X. Meng, C. Shu, and B. Wu: Optimal error estimates for discontinuous Galerkin methods based on upwind-biased fluxes for linear hyperbolic equations, Mathematics of Computation, 85 (2016), 1225-1261.

  • Z. Li, and S.-Y. Ha: Uniqueness and well-ordering of emergent phase-locked states for the Kuramoto model with frustration and inertia. Mathematical Models and Methods in Applied Sciences, 26(2) (2016), 357-382.

  • F. Liu, and X. Xue: Subgradient-based neural network for nonconvex optimization problems in support vector machines with indefinite kernels, Journal of Industrial and Management Optimization, (2016),12: 285 - 301.

  • S. Qin , Y. Liu, X. Xue, F. Wang: A neurodynamic approach to convex optimization problems with general constraint, Neural Networks, (2016), 84: 113-124.