廖奇峰 助理教授、研究员

发布者:管理员发布时间:2018-05-02浏览次数:4889

廖奇峰 助理教授、研究员

电 话:(021) 20685400
邮 箱:liaoqf@@shanghaitech.edu.cn
办公室:信息学院1A-404B室
个人主页:
招生专业: 计算机科学与技术、电子科学与技术
博士毕业院校: 英国曼彻斯特大学
廖奇峰 研究组招聘广告(点击进入)

研究领域

  • 模型化简

  • 不确定性量化

  • 大数据算法

  • 偏微分方程数值解

  • 有限元方法

  • 区域分解方法


个人简历

廖奇峰于2010在英国曼彻斯特大学数学学院获得数值计算博士学位,分别于2007年和2006年获得曼彻斯特大学数学学院硕士学位和四川大学数学学院学士学位。2011年1月至2012年6月,在美国马里兰大学计算机系从事博士后研究工作;2012年7月至2015年2月,在美国麻省理工学院航空航天系从事博士后研究工作;2015年3月,作为助理教授、研究员加入上海科技大学信息科学与技术学院。加入上海科技大学信息科学与技术学院以来,主要从事带高维随机输入的偏微分方程的高效数值算法,已获得国家自然科学基金资助。


代表性论文

    1. Chen Chen and Qifeng Liao, ANOVA Gaussian process modeling for high-dimensional stochastic computational models, Journal of Computational Physics, 416(2020), pp. 109519.


    2. Kejun Tang and Qifeng Liao, Rank adaptive tensor recovery based model reduction for partial differential equations with high-dimensional random inputs, Journal of Computational Physics, 409(2020), pp. 109326.

    3. Ke Li, Kejun Tang, Tianfan Wu and Qifeng Liao, D3M: A deep domain decomposition method for partial differential equations, IEEE Access, 8(2020), pp. 5283--5294.

    4. Guanjie Wang and Qifeng Liao, An adaptive hybrid spectral method for stochastic Helmholtz problems, Numerical Mathematics: Theory, Methods and Applications, 13(2020), pp. 1007--1026.

    5.Zhihang Xu and Qifeng Liao, Gaussian process based expected information gain computation for Bayesian optimal design, Entropy, 22(2020), 258.

    6. Kejun Tang, Xiaoliang Wan, and Qifeng Liao, Deep density estimation via invertible block-triangular mapping, Theoretical and Applied Mechanics Letters, accepted.

    7. Dayou Lu, Yu Liu, Qifeng Liao, Binglin Wang, Wentao Huang and Xinze Xi, Time-domain transmission line fault location method with full consideration of distributed parameters and line asymmetry, IEEE Transactions on Power Delivery, accepted.

    8. Qifeng Liao and Jinglai Li, An adaptive reduced basis ANOVA method for high-dimensional Bayesian inverse problems, Journal of Computational Physics, 396(2019), pp. 364--380.

    9. Shengfeng Zhu, Xianliang Hu and Qifeng Liao, Convergence analysis of Galerkin finite element approximations to shape gradients in eigenvalue optimization, BIT Numerical Mathematics, 16 November 2019.

    10. Guanjie Wang and Qifeng Liao, Efficient spectral stochastic finite element methods for Helmholtz equations with random inputs, East Asian Journal on Applied Mathematics, 9(2019), pp. 558--579.

    11. Ke Li, Kejun Tang, Jinglai Li, Tianfan Wu and Qifeng Liao, A hierarchical neural hybrid method for failure probability estimation, IEEE Access, 7(2019), pp.112087--112096.

    12. Qifeng Liao and Guang Lin, Reduced basis ANOVA methods for partial differential equations with high-dimensional random inputs, Journal of Computational Physics, 317(2016), pp. 148--164.

    13. Qifeng Liao and Karen Willcox, A domain decomposition approach for uncertainty analysis, SIAM Journal on Scientific Computing, 37 (2015), pp. A103--A133.

    14. Howard Elman and Qifeng Liao, Reduced basis collocation methods for partial differential equations with random coefficients, SIAM/ASA Journal on Uncertainty Quantification, 1 (2013), pp. 192--217.

    15. Qifeng Liao and David Silvester, Robust stabilized Stokes approximation methods for highly stretched grids, IMA Journal of Numerical Analysis, 33 (2013), pp. 413--431.

    16. Qifeng Liao and David Silvester, Implicit solvers using stabilized mixed approximation, International Journal for Numerical Methods in Fluids, 71 (2013), pp. 991--1006.

    17. Qifeng Liao and David Silvester, A simple yet effective a posteriori estimator for classical mixed approximation of Stokes equations, Applied Numerical Mathematics, 62 (2012), pp. 1242--1256.