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. 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,