廖奇峰
副教授、研究员、博导
博士毕业院校: 英国曼彻斯特大学
电话: 021-20685400
办公室: 信息学院2-402D
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研究方向: 科学计算,不确定性量化,计算与应用数学
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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;2021年2月至今,任上海科技大学信息科学与技术学院副教授/研究员。
  • 1. Elman, Howard*, , Elman, Howard;Liao, Qifeng#, Reduced Basis Collocation Methods for Partial Differential Equations with Random Coefficients, SIAM/ASA JOURNAL ON UNCERTAINTY QUANTIFICATION, 2013, 1(1):192-217
  • 2. 王官杰*, Liao, Qifeng;, Wang, Guanjie;Liao, Qifeng#, An Adaptive Hybrid Spectral Method for Stochastic Helmholtz Problems, NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS, Nov 2020, 13(4):1007-1026
  • 3. Wang, Guanjie*, Liao, Qifeng;, Wang, Guanjie;Xue, Fei;Liao, Qifeng#, LOCALIZED STOCHASTIC GALERKIN METHODS FOR HELMHOLTZ PROBLEMS CLOSE TO RESONANCE, INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 2021, 11(5):77-99
  • 4. 徐之航*, Liao, Qifeng;, Xu, Zhihang;Liao, Qifeng#, Gaussian Process Based Expected Information Gain Computation for Bayesian Optimal Design, ENTROPY, Feb 2020, 22(2)
  • 5. 廖奇峰*, Lin, Guang;, Liao, Qifeng;Lin, Guang#, Reduced basis ANOVA methods for partial differential equations with high-dimensional random inputs, JOURNAL OF COMPUTATIONAL PHYSICS, 15 Jul 2016, 317:148-164
  • 6. 唐科军*, Liao, Qifeng;, Tang, Kejun;Liao, Qifeng#, Rank adaptive tensor recovery based model reduction for partial differential equations with high-dimensional random inputs, JOURNAL OF COMPUTATIONAL PHYSICS, 15 May 2020, 409
  • 7. 廖奇峰*, , Liao, Qifeng;Willcox, Karen#, A DOMAIN DECOMPOSITION APPROACH FOR UNCERTAINTY ANALYSIS, SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2015, 37(1):A103-A133
  • 8. 廖奇峰*, Silvester, David;, Liao, Qifeng;Silvester, David#, A simple yet effective a posteriori estimator for classical mixed approximation of Stokes equations, APPLIED NUMERICAL MATHEMATICS, 2010, 62(9):1242-1256
  • 9. 廖奇峰*, Silvester, David;, Liao, Qifeng;Silvester, David#, Implicit solvers using stabilized mixed approximation, INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, Jun 2012, 71(8):991-1006
  • 10. 唐科军*, Liao, Qifeng;, Tang, Kejun;Wan, Xiaoliang;Liao, Qifeng#, Adaptive deep density approximation for Fokker-Planck equations, JOURNAL OF COMPUTATIONAL PHYSICS, 15 May 2022, 457
  • 11. 芦大有*, Liu, Yu;, Lu, Dayou;Liu, Yu;Xie, Jiahao;Wang, Binglin;Liao, Qifeng#, Multi-Layer Model Enabled Fault Location for Underground Cables in MMC-HVDC Grids Considering Distributed and Frequency Dependent Line Parameters, IEEE TRANSACTIONS ON POWER DELIVERY, 01 Aug 2022, 37(4)
  • 12. 蔡大亨*, Liao, Qifeng;, Cai, Daheng;Yao, Chengbin;Liao, Qifeng#, A Stochastic Discrete Empirical Interpolation Approach for Parameterized Systems, SYMMETRY-BASEL, Mar 2022, 14(3)
  • 13. 周翔宇*, Wang, Cheng;, Zhou, Xiang-Yu;Wang, Xing-Guang;Zhao, Bin-Bin;Liao, Qi-Feng;Wang, Cheng#, Frequency noise reduction of delay-coupled quantum cascade lasers, OPTICS EXPRESS, 15 Mar 2021, 29(6):9030-9042
  • 14. 芦大有*, Liu, Yu;, Lu, Dayou;Liu, Yu;Liao, Qifeng;Wang, Binglin;Huang, Wentao;Xi, Xinze#, Time-Domain Transmission Line Fault Location Method With Full Consideration of Distributed Parameters and Line Asymmetry, IEEE TRANSACTIONS ON POWER DELIVERY, Dec 2020, 35(6):2651-2662
  • 15. 李珂*, Liao, Qifeng;, Li, Ke;Tang, Kejun;li, Jinglai;Wu, Tianfan;Liao, Qifeng#, A Hierarchical Neural Hybrid Method for Failure Probability Estimation, IEEE ACCESS, 2019, 7:112087-112096
  • 16. 廖奇峰*, Li, Jinglai;, Liao, Qifeng;Li, Jinglai#, An adaptive reduced basis ANOVA method forhigh-dimensional Bayesian inverse problems, JOURNAL OF COMPUTATIONAL PHYSICS, Nov 2019, 396:364-380
  • 17. 廖奇峰*, Liao, Qifeng;, Liao, Qifeng;Silvester, David#, Robust stabilized Stokes approximation methods for highly stretched grids, IMA JOURNAL OF NUMERICAL ANALYSIS, 2013, 33(2):413-431
  • 18. 陈晨*, Liao, Qifeng;, Chen, Chen;Liao, Qifeng#, ANOVA Gaussian process modeling for high -dimensional stochastic computational models, JOURNAL OF COMPUTATIONAL PHYSICS, 01 Sep 2020, 416
  • 19. 王官杰*, Liao, Qifeng;, Wang, Guanjie;Liao, Qifeng#, Efficient Spectral Stochastic Finite Element Methods for Helmholtz Equations with Random Inputs, EAST ASIAN JOURNAL ON APPLIED MATHEMATICS, Aug 2019, 9(3):601-621
  • 20. 李珂*, Qifeng Liao;, Ke Li;Kejun Tang;Tianfan Wu;Qifeng Liao#, D3M: A deep domain decomposition method for partial differential equations, IEEE ACCESS, 2020, PP(99):1
  • 21. Zhu, Shengfeng*, Zhu, Shengfeng;, Zhu, Shengfeng;Hu, Xianliang;Liao, Qifeng#, Convergence analysis of Galerkin finite element approximations to shape gradients in eigenvalue optimization, BIT NUMERICAL MATHEMATICS, 16 Nov 2019,
  • 22. 冯亚妮*, Liao, Qifeng;, Feng, Yani;Tang, Kejun;He, Lianxing;Zhou, Pingqiang;Liao, Qifeng#, Tensor Train Random Projection, CMES - COMPUTER MODELING IN ENGINEERING AND SCIENCES, 2023, 134(2):1197-1218
  • 23. 张钧博*, Liao, Qifeng;, Zhang, Junbo;Li, Daoji;Xia, Yingzhi;Liao, Qifeng#, Bayesian Aerosol Retrieval-Based PM2.5 Estimation through Hierarchical Gaussian Process Models, MATHEMATICS, Aug 2022, 10(16)
  • 24. Tang, Keju*, Wan, Xiaoliang;, Tang, Keju;Wan, Xiaoliang;Liao, Qifeng#, Deep density estimation via invertible block-triangular mapping, THEORETICAL AND APPLIED MECHANICS LETTERS, Mar 2020, 10(3):143-148
  • 25. 芦大有*, Liu, Yu;, Lu, Dayou;Liu, Yu;Xie, Jiahao;Wang, Binglin;Liao, Qifeng#, Multi-Layer Model Enabled Fault Location for Underground Cables in MMC-HVDC Grids Considering Distributed and Frequency Dependent Line Parameters, IEEE TRANSACTIONS ON POWER DELIVERY, 01 Aug 2022, 37(4):3082-3096