Publications

Google Scholar profile

ORCID profile

Preprints

1. Weihong Guo, Yifei Lou, Jing Qin, Ming Yan. Time-Varying Graph Signal Recovery Using High-Order Smoothness and Adaptive Low-rankness, submitted March 2024. [preprint]

2. Mengqi Hu, Bian Li, Yi-An Ma, Yifei Lou, Xiu Yang. A Gradient-Based Optimization Method Using the Koopman Operator, submitted December 2023. [preprint]

3.  Chao Wang, Jean-Francois Aujol, Guy Gilboa, Yifei Lou. Minimizing Quotient Regularization Model, submitted August 2023. [preprint]

Journal Papers

1. Chengyu Ke, Sunyoung Shin, Yifei Lou, and Miju Ahn. A Generalized Formulation for Group Selection via ADMM, J. Sci. Computing, 100 (15), 2024. [preprint]

2. Huiwen Zheng, Yifei Lou, Guoliang Tian, and Chao Wang. A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion, SIAM Imaging Sci., 17(1), 756-783, 2024.

3. Yaghoub Rahimi, Sung Ha Kang, Yifei Lou. A Lifted ℓ1 Framework for Sparse Recovery, Information and Inference: A Journal of the IMA. 13 (1): iaad055, 2024. arXiv:2203.05125

4. Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin. An Efficient Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation, Communications on Applied Mathematics and Computation (to appear 2024). arXiv: 2202.10115

5. Bowen Zhu, Yunan Yang, Jingwei Hu, and Yifei Lou. Implicit Regularization Effects of the Sobolev Norms in Image Processing, La Matematica, Volume 3, pages 79–107, 2024. arXiv:2109.06255

6. Bohan Chen, Yifei Lou, Andrea L. Bertozzi, Jocelyn Chanussot. Graph-Based Active Learning for Nearly Blind Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 61: 5523716, 2023. [codes]

7. Jonathan Popa, Yifei Lou, Susan E. Minkoff. Low-Rank Tensor Data Reconstruction and Denoising via ADMM: Algorithm and Convergence Analysis, J. Sci. Comput, 97:49, 2023. 

8. Baoli Shi, Mengxia Li, Yifei Lou. Adaptively weighted difference model of anisotropic and isotropic total variation for image denoising, J. Nonlinear Var. Anal., 7(4),  563-580, 2023.

9. Kevin Bui, Yifei Lou, Fredrick Park, and Jack Xin. Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise, Front. Comput. Sci., 5:1131317, 2023.

10. Mengqi Hu, Yifei Lou, Bao Wang, Ming Yan, Xiu Yang, and Qiang Ye. Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum, J. Sci. Comput, 95:33, 2023. 

11. Mengqi Hu, Yifei Lou, Xiu Yang. A general framework of rotational sparse approximation in uncertainty quantification, SIAM/ASA J. Uncertainty Quantification,  10(4), 1410-1434, 2022. [preprint] [codes]

12. Jonathan Popa, Susan E. Minkoff, and Yifei Lou. Tensor-based reconstruction applied to regularized time-lapse data,  Geophys. J. Int. 231, pp. 638–649, 2022.

13. Chao Wang, Min Tao, Chen-Nee Chuah, James Nagy, Yifei Lou. Minimizing L1 over L2 norms on the gradient, Inverse Probl., 38, 065011, 2022. [preprint]

14. Chengyu Ke, Miju Ahn, Sunyoung Shin, and Yifei Lou. Iteratively Reweighted Group Lasso based on Log-composite Regularization, SIAM J. Sci. Comput., 43(5), S655–S678, 2021 [preprint] [codes]

15. Kevin Bui, Fredrick Park, Yifei Lou, and Jack Xin. A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation, SIAM Imaging Sci., 8(3), 1798–1823, 2021. arXiv: 2005.04401

16. Chao Wang, Min Tao, James Nagy, and Yifei Lou. Limited-angle CT reconstruction via the L1/L2 minimization, SIAM Imaging Sci., 14(2), pp. 749-777, 2021. [codes]

17. Jonathan Popa, Susan E. Minkoff, and Yifei Lou. An improved seismic data completion algorithm using low-rank tensor optimization: Cost reduction and optimal data orientation, GEOPHYSICS 86: V219-V232, 2021.

18. Weihong Guo, Yifei Lou, Jing Qin, and Ming Yan, A Novel Regularization Based on the Error Function for Sparse Recovery, J. Sci. Comput. 87(31), 2021. [codes] arXiv:2007.02784

19. Jing Qin, Harlin Lee, Jocelyn T. Chi, Lucas Drumetz, Jocelyn Chanussot, Yifei Lou, and Andrea L. Bertozzi. Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization, IEEE Trans. Geosci. Remote Sens., 59(4), 3338 - 3351, 2021. [preprint, codes] 

20. Rajendra K C Khatri, Brendan J Caseria, Yifei Lou, Guanghua Xiao, and  Yan Cao. Automatic extraction of cell nuclei using dilated convolutional network, Inverse Probl. Imag., 15(1), 27-40, 2021. 

21. Feng Liu, Li Wang, Yifei Lou, Rencang Li, and Patrick Purdon. Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior. IEEE Trans. Med. Imaging, 40(1), 321 - 334, 2021. arXiv: 1906.02252 (INFORMS Data Mining Best Paper Award)

22. Mujibur Rahman Chowdhury, Jing Qin, and Yifei Lou. Non-blind and Blind Deconvolution Under Poisson Noise Using Fractional-Order Total Variation, J. Math. Imaging Vis., 62, 1238–1255, 2020. [codes]

23. Wing Hong Wong, Yifei Lou, and Tieyong Zeng. Phase Retrieval for Binary Signals: Box Relaxation and Uniqueness, Inverse Probl., 36, 095004, 2020.. arXiv: 1904.10157

24. Chao Wang, Ming Yan, Yaghoub Rahimi, and Yifei Lou. Accelerated Schemes for the L1/L2 Minimization, IEEE Trans. Signal Process., 68, 2660-2669, 2020. arXiv: 1905.08946

25. Jingjing Liu, Yifei Lou, Guoxi Ni, and Tieyong Zeng. An image sharpening operator combined with framelet for image deblurring, Inverse Probl., 36, 045015, 2020.

26. Mujibur Chowdhury, Jun Zhang, Jing Qin, and Yifei Lou. Poisson image denoising based on fractional-order total variation, Inverse Probl. Imag., 14(1), pp. 77-96, 2020. [codes]

27. Yaghoub Rahimi, Chao Wang, Hongbo Dong, and Yifei Lou. A Scale Invariant Approach for Sparse Signal Recovery, SIAM J Sci. Comput.,41(6), pp. A3649-A3672, 2019. [codes]

28. Chenyang Shen, Yifei Lou, Liyuan Chen, Tieyong Zeng, Michael K. Ng, Lei Zhu, and Xun Jia. Comparison of three undersampling approaches in computed tomography reconstruction, Quant Imaging Med Surg, 9(7):1229-1241, 2019.

29. Yifei Lou and Ming Yan. Fast L1-L2 Minimization via a Proximal Operator, J. Sci. Comput., 74(2), 767-785, 2018. [codes]

30. Huibin Chang, Pablo Enfedaque, Yifei Lou and Stefano Marchesini. Partially Coherent Ptychography by Gradient Decomposition of the Probe, Acta Cryst. A73, pp.157-169, 2018. 

31. Chenyang Shen, Bin Li, Liyuan Chen, Ming Yang, Yifei Lou, and Xun Jia. Material elemental decomposition in dual and multi‐energy CT via a sparsity‐dictionary approach for proton stopping power ratio calculation, Med. Phys., 45(4):1491-1503, 2018.

32. Bin Li, Chenyang Shen, Yujie Chi, Ming Yang, Yifei Lou, Linghong Zhou, and Xun Jia. Multi-energy Cone-Beam CT Reconstruction with a Spatial Spectral Nonlocal Means Algorithm, SIAM J. Imaging Sci., 11(2), pp. 1205-1229, 2018.

33. Hubin Chang, Yifei Lou, Yuping Duan, and Stefano Marchesini. Total Variation Based Phase Retrieval for Poisson Noise Removal, SIAM J. Imaging Sci., 11(1), pp. 24-55, 2018. 

34. Huibin Chang, Stefano Marchesini, Yifei Lou, and Tieyong Zeng. Variational Phase Retrieval with Globally Convergent Preconditioned Proximal Algorithm, SIAM J. Imaging Sci. 11(1), pp. 56-93, 2018.

35. Feng Liu, Jay Rosenberger, Yifei Lou, Rahilsadat Hosseini, Jianzhong Su, and Shouyi Wang. Graph Regularized EEG Source Imaging with in-Class Consistency and out-Class Discrimination, IEEE Trans. Big Data, 3(4), pp. 378-391, 2017. 

36. Tianhui Ma, Yifei Lou, and Ting-Zhu Huang. Truncated L1-L2 models for sparse recovery and rank minimization, SIAM J. Imaging Sci., 10(3), 1346-1380, 2017. [codes]

37. Tianhui Ma, Ting-Zhu Huang, Xi-Le Zhao, and Yifei Lou. Image deblurring with an inaccurate blur kernel using a group-based low-rank image prior, Information Sciences, 408, 213-233, 2017. 

38. Yuhong Zhou, Fang Qiu, Feng Ni, Yifei Lou, Caiyun Zhang, Mohammed Alfarhan, and Ali A. Al-Dosari. Curve matching approaches to waveform classification: a case study using ICESat data, GISCI Remote Sens., 53(6), pp 739–758, 2016. 

39. Huibin Chang, Yifei Lou, Michael Ng, and Tieyong Zeng. Phase Retrieval from Incomplete Magnitude Information via Total Variation Regularization, SIAM J. Sci. Comput., 38(6), A3672–A3695, 2016. 

40. Zhi Li, Yifei Lou, and Tieyong Zeng. Variational Multiplicative Noise Removal by DC Programming, J. Sci. Comput., 68(3), pp. 1200–1216, 2016.

41. Yifei Lou, Penghang Yin, and Jack Xin. Point Source Super-resolution Via Non-convex L1 Based Methods, J. Sci. Comput., 68(3), pp 1082–1100, 2016. [code]

42. Yifei Lou, Tieyong Zeng, Stanley Osher, and Jack Xin. A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing, SIAM J. Imaging Sci, 8(3), 1798 –1823, 2015. [code]

43. Penghang Yin, Yifei Lou, Qi He, and Jack Xin. Minimization of L1-L2 for Compressed Sensing. SIAM J. of Sci. Comput., 37(1), A536–A563, 2015. [code]

44. Yifei Lou, Penghang Yin, Qi He, and Jack Xin. Computing Sparse Representation in a Highly Coherent Dictionary Based on Difference of L1 and L2. J. Sci. Comput., 64(1), 178–196, 2015.

45. Yifei Lou, Ernie Esser, Hongkai Zhao, and Jack Xin. Partially blind deblurring of barcode from out-of-focus blur. SIAM J. Imaging Sci., 7(2), 740–760, 2014. [code]

46. Ernie Esser, Yifei Lou, and Jack Xin. A Method for Finding Structured Sparse Solutions to Non-negative Least Squares Problems with Applications. SIAM J. Imaging Sci., 6(4), 2010–2046, 2013

47. Yifei Lou, Sung Ha Kang, Stefano Soatto, and Andrea L. Bertozzi. Video Stabilization of Atmospheric Turbulence Distortion. Inverse Probl. Imag., Special Issue in honor of Tony Chan, 7(3), pp. 839–861, August 2013. [code]

48. Mario Micheli, Yifei Lou, Stefano Soatto, and Andrea L. Bertozzi. A Linear Systems Approach to Imaging Through Turbulence. J. Math. Imaging Vis., 48(1), 185–201, 2014 (published online July 2013).

49. Yifei Lou, Andrei Irimia, Patricio Vela, Micah C. Chambers, Jack Van Horn, Paul M. Vespa, and Allen Tannenbaum. Multimodal Deformable Registration of Traumatic Brain Injury MR Volumes via the Bhattacharyya Distance, IEEE Transactions on Biomedical Engineering, 60(9), pp. 2511–2520, April 2013. [code]

50. Yifei Lou, Xun Jia, Tianye Niu, Patricio Vela, Lei Zhu, and Allen Tannenbaum. Joint CT/CBCT Deformable Registration and CBCT Enhancement for Cancer Radiotherapy. Medical Image Analysis, 17(3), pp. 387–400, April 2013.

51. Xun Jia, Zhen Tian, Yifei Lou, Jan-Jakob Sonke, and Steve B. Jiang. Four-dimensional Cone Beam CT Reconstruction and Enhancement using a Temporal Non-Local Means Method. Med. Phys., 39, 5592, 2012

52. Xun Jia, Chunhua Men, Yifei Lou, and Steve B. Jiang. Beam orientation optimization for intensity modulated radiation therapy using adaptive L_21 minimization. Phys. Med. Biol. 56, pp. 6205–6222, September 2011.

53. Xun Jia, Bin Dong, Yifei Lou, and Steve B. Jiang. GPU-based iterative cone beam CT reconstruction using tight frame regularization. Phys. Med. Biol., 56, pp. 3787–3807, May 2011.

54. Zhen Tian, Xun Jia, Bin Dong, Yifei Lou, and Steve B Jiang. Low-dose 4DCT reconstruction via temporal nonlocal means. Med. Phys., 38(3), February 2011

55. Yifei Lou, Andrea L. Bertozzi, and Stefano Soatto. Direct Sparse Deblurring. J. Math. Imaging Vis., 39 (1), pp. 1–12, 2011

56. Xun Jia, Yifei Lou, Ruijing Li, William Y. Song, and Steve B. Jiang. GPU-based Fast Cone Beam CT Reconstruction from Undersampled and Noisy Projection Data via Total Variation. Med.  Phys., 37(4), pp. 1757–1760, 2010.

57. Yifei Lou, Xiaoqun Zhang, Stanley Osher, and Andrea L. Bertozzi. Image Recovery via Nonlocal Operators. Journal of Scientific Computing,  42(2), pp. 185–197, 2010. [code]

Conference Papers

1. Linlin Yu, Yifei Lou, and Feng Chen. Uncertainty-aware Graph-based Hyperspectral Image Classification. Proceeding of the International Conference on Learning Representations (ICLR), 2024 (To Appear). [preprint]

2. Rohin Harikumar, Susan E. Minkoff, and Yifei Lou. A low-rank tensor reconstruction and denoising method for enhancing CNN performance, in Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), pp. 69-72, 2024.

3. Russell Alan Hart, Linlin Yu, Yifei Lou, and Feng Chen. Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization, in Proceedings of the Thirty-Seventh Conference on Neural Information Processing Systems (NeurIPS), 13;36, 2023 [preprint] [codes]

4. Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin. Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising, in Proceedings of IEEE International Conference on Image Processing (ICIP 2023), October 8-11, 2023, Kuala Lumpur.

5. Zheng Tan, Longxiu Huang, Hanqin Cai, and Yifei Lou. Nonconvex Approaches for Low-rank Tensor Completion under Tubal Sampling, In Proceedings of 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 4-10, 2023, Rhodes Island, Greece. [preprint]

6. Marc Andrew Choi, Siyu Huang, Hengyuan Qi, Marco Scialanga, Emerson McMullen, Axel Sanchez Moreno, Yifei Lou, Andrea L. Berotzzi, and P. Jeff Brantingham. Combining Dynamic Mode Decomposition and Difference-in-Differences in an Analysis of At-Risk Youth, In Proceedings of IEEE International Conference on Big Data/Second International Workshop on Data Science for equality, inclusion and well-being challenges, December 17-20, 2022, Osaka Japan, pp. 4654-4663.

7. Jonathan Popa, Susan E. Minkoff, and Yifei Lou. Improving seismic data completion via low-rank tensor optimization, In Proceedings of Annual International Meeting of the Society of Exploration Geophysicists, pp. 2774-2778, Houston, TX, 2020.

8. Jing Qin and Yifei Lou. L_{1-2} Regularized Logistic Regression. In Proceedings of the 53rd Asilomar Conference on Signals, Systems and Computers, November 2019.

9. Jing Qin, Harlin Lee, Jocelyn T. Chi, Yifei Lou, Jocelyn Chanussot, and Andrea L. Bertozzi, Fast blind hyperspectral unmixing based on graph Laplacian, In Proceedings of the 10th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Amsterdam, Sept. 24-26th, 2019.

10. Jonathan Popa, Susan Minkoff, and Yifei Lou. Improving seismic data completion and efficiency using tensors, In Proceedings of the Annual International Meeting of the Society of Exploration Geophysicists, pp. 4034–4038, San Antonio, TX, September 15–20, 2019.

11. Samiha Rouf, Chenyang Shen, Yan Cao, Conner Davis, Xun Jia, and Yifei Lou. A Neural Network Approach for Image Reconstruction from a Single X-ray Projection. In Proceedings of the '23rd Conference in Medical Imaging, Understanding and Analysis (MIUA), pp. 208-219, July 2019.

12. Feng Liu, Shouyi Wang, Jing Qin, Yifei Lou, and Jay Rosenberger, Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization. In Proceedings of  International Conference on Brain Informatics, pp. 304–316, December 2018 (best student paper).

13. Russell Hart, Huibin Chang, and Yifei Lou, Empirical studies on phase retrieval. In Proceedings of IEEE Image, Video, and Multidimensional Signal Processing (IVMSP) Workshop, Zagori, Aristi Village Greece, June 2018. 

14. Tian-hui Ma, Yifei Lou, Ting-Zhu Huang, and Xi-Le Zhao, Group-based truncated $l_{1-2}$ model for image inpainting. In Proceedings of IEEE International Conference on Image Processing (ICIP), pp. 2079–2083, September 2017.

15. Fred Park, Yifei Lou, and Jack Xin, A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Image Segmentation. In Proceedings of IEEE International Conference on Image Processing (ICIP), pp. 4314–4318, September 2016.

16. Yifei Lou, Stanley Osher, and Jack Xin, Computational Aspects of L1-L2 Minimization for Compressive Sensing. In Model. Comput. & Optim. Inf. Syst. & Manage. Sci., Advances in Intelligent Systems and Computing, 359, pp 169–180, May 2015. 

17. Blake Hunter, Yifei Lou, and Andrea L. Bertozzi. A spectral graph based approach to analyze hyper-spectral data. In Proceedings of IEEE Applied Imagery and Pattern Recognition Workshop, October 2012

18. Xun Jia, Yifei Lou, Bin Dong, Zhen Tian, and Steve B. Jiang. 4D Computed Tomography Reconstruction from Few-projection Data via Temporal Non-local Regularization. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), pp.143–150, September 2010

19. Yifei Lou, Paolo Favaro, Stefano Soatto and Andrea L. Bertozzi. Nonlocal Similarity Image Filtering. In Proceedings of the International Conference on Image Analysis and Processing (ICIAP), pp. 62–71, September 2009.

20. Toni Buades, Yifei Lou, Jean-Michel Morel and Zhongwei Tang. A Note on Multi-Image Denoising. In Proceedings of the International Workshop on Local and Non-Local Approximation (LNLA) in Image Processing, pp. 1–15, August 2009.

21. Yifei Lou, Paolo Favaro, Andrea L. Bertozzi, and Stefano Soatto. Autocalibration and Uncalibrated Reconstruction of Shape from Defocus. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1–8, June 2007

22. Yifei Lou, Bin Zhang, Jing Wang, and Ming Jiang. Blind Deconvolution for Symmetric Point-spread Functions. In Proceedings of IEEE EMBS Annual International Conference, pp.3459–3462, September 2005.

Book Chapters

1. Yifei Lou and Allen Tannenbaum, “Inter-Modality Deformable Registration.” In Graphics Processing Unit-Based High Performance Computing in Radiation Therapy, pp. 149--164. CRC Press, 2015.

2. Alex Chen, Andrea L. Bertozzi, Paul D. Ashby, Pascal Getreuer and Yifei Lou. Enhancement and Recovery in Atomic Force Microscopy Images. In Excursions in Harmonic Analysis, Volume 2, pp. 311--332. Birkhauser Basel, 2013.

Miscellaneous

1. Yifei Lou, Xun Jia, Xuejun Gu and Allen Tannenbaum. A GPU-based Implementation of Multimodal Deformable Image Registration Based on Mutual Information or Bhattacharyya Distance. Insight Journal, 2011. online version

Thesis

Yifei Lou. Local, Non-local and Global Methods In Image Reconstruction. Ph.D. Thesis.

Department of Mathematics, University of California Los Angeles, USA, 2010