廖奇峰目前为上海科技大学信息科学与技术学院常任副教授、研究员、博士生导师，中国数学会计算数学分会理事、上海工业与应用数学学会理事。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，于2006年获得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，作为研究员加入上海科技大学信息科学与技术学院。

1. He, Junjie;Liao, Qifeng;Wan, Xiaoliang;#, Adaptive Deep Density Approximation for Stochastic Dynamical Systems, JOURNAL OF SCIENTIFIC COMPUTING, 01 Mar 2025, 102(3)

2. Sen Li;Ke Li;Yu Liu;Qifeng Liao;#, A conditional normalizing flow for domain decomposed uncertainty quantification, JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, Sep 2025, 465:116571

3. 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,

4. Ke Li;Kejun Tang;Tianfan Wu;Qifeng Liao;#, D3M: A Deep Domain Decomposition Method for Partial Differential Equations, IEEE ACCESS, 2020, 8

5. Xu, Zhihang;Liao, Qifeng;#, Gaussian Process Based Expected Information Gain Computation for Bayesian Optimal Design, ENTROPY, Feb 2020, 22(2)

6. 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. 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

8. Chen, Chen;Liao, Qifeng;#, ANOVA Gaussian process modeling for high -dimensional stochastic computational models, JOURNAL OF COMPUTATIONAL PHYSICS, 01 Sep 2020, 416

9. Dayou Lu;Yu Liu;Qifeng Liao;Binglin Wang;Wentao Huang;Xinze Xi;#, 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

10. 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

11. 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

12. Dayou Lu;Yu Liu;Jiahao Xie;Binglin Wang;Qifeng Liao;#, 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)

13. Tang, Kejun;Wan, Xiaoliang;Liao, Qifeng;#, Adaptive deep density approximation for Fokker-Planck equations, JOURNAL OF COMPUTATIONAL PHYSICS, 15 May 2022, 457

14. Cai, Daheng;Yao, Chengbin;Liao, Qifeng;#, A Stochastic Discrete Empirical Interpolation Approach for Parameterized Systems, SYMMETRY-BASEL, Mar 2022, 14(3)

15. 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

16. 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)

17. 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

18. 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

19. Sen Li;Yingzhi Xia;Yu Liu;Qifeng Liao;#, A deep domain decomposition method based on Fourier features, JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, May 2023, 423:114963

20. Liu, Siqi;Shi, Xiaoyu;Liao, Qifeng;#, Rank-Adaptive Tensor Completion Based on Tucker Decomposition, ENTROPY;, 01 Feb 2023, 25(2)

21. He, Junjie;Xu, Zhihang;Liao, Qifeng;#, DEEP NEURAL NETWORK BASED ADAPTIVE LEARNING FOR SWITCHED SYSTEMS, DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S, 01 Mar 2023,

22. Feng, Yani;Liao, Qifeng;Silvester, David;#, Robin-type domain decomposition with stabilized mixed approximation for incompressible flow, COMPUTERS AND MATHEMATICS WITH APPLICATIONS, 01 Oct 2023, 147:53-63

23. Xia, Yingzhi;Liao, Qifeng;Li, Jinglai;#, VI-DGP: A Variational Inference Method with Deep Generative Prior for Solving High-Dimensional Inverse Problems, JOURNAL OF SCIENTIFIC COMPUTING, Oct 2023, 97(1)

24. Wang, Guanjie;Sahu, Smita;Liao, Qifeng;#, An Adaptive ANOVA Stochastic Galerkin Method for Partial Differential Equations with High-dimensional Random Inputs, JOURNAL OF SCIENTIFIC COMPUTING, Jan 2024, 98(1)

25. Wang, Guanjie;Liao, Qifeng;#, Reduced basis stochastic Galerkin methods for partial differential equations with random inputs, APPLIED MATHEMATICS AND COMPUTATION, 15 Feb 2024, 463

26. Xu, Zhihang;Liao, Qifeng;Li, Jinglai;#, Domain-decomposed Bayesian inversion based on local Karhunen-Loève expansions, JOURNAL OF COMPUTATIONAL PHYSICS, 01 May 2024, 504

27. 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

28. Liao, Qifeng;Silvester, David;#, Robust stabilized Stokes approximation methods for highly stretched grids, IMA JOURNAL OF NUMERICAL ANALYSIS, 2013, 33(2):413-431

29. 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

30. Liao, Qifeng;Willcox, Karen;#, A DOMAIN DECOMPOSITION APPROACH FOR UNCERTAINTY ANALYSIS, SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2015, 37(1):A103-A133

31. 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

32. Liao, Qifeng;Silvester, David;#, Implicit solvers using stabilized mixed approximation, INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, Jun 2012, 71(8):991-1006

33. Liao, Qifeng;Li, Jinglai;#, An adaptive reduced basis ANOVA method forhigh-dimensional Bayesian inverse problems, JOURNAL OF COMPUTATIONAL PHYSICS, Nov 2019, 396:364-380

34. Ke Li;Kejun Tang;Jinglai Li;Tianfan Wu;Qifeng Liao;#, A Hierarchical Neural Hybrid Method for Failure Probability Estimation, IEEE ACCESS, 2019, 7:112087-112096

35. Mujing Li;Guanjie Wang;Xingguang Zhang;Qifeng Liao;Chenxi Xiao;#, D-LUT: Photorealistic Style Transfer via Diffusion Process, 2025 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 06 Mar 2025,