Projects per year
Personal profile
Personal profile
Haixia Liang joined XJTLU in 2011. Haixia Liang got her BSc degree from Qufu Normal University in July 2003. Then she got her MSc degree from Shanghai University in 2006 majoring in Numerical Linear Algebra under the supervision of Prof. Erxiong Jiang. In 2007, Haixia Liang entered the Chinese University of Hong Kong to study for her PhD degree under the supervision of Prof. Raymond Honfu Chan. After the graduation, she visited Nanyang Technological University as a post-doctoral research fellow under the advision of Prof. Xuecheng Tai. Haixia’s research interest are mainly on linear algebra, optimization, image processing. She finished some research works on inverse eigenvalue problems, variation models for image restoration, and applications in computing tomography, compressive sensing. Currently, her research is focusing on the fractional-order variation models for image restoration, the image segmentation problems and the hyperspectral imaging problems.
Research interests
Nmerical Linear Algebra
Image Processing
Optimization
Experience
Lecturer, Xian Jiaotong Liverpool Uniersity, 2011.09-Present
Research Fellow, Nanyang Technological University of Singapore, 2010.09-2011.08
Teaching assistant, The Chinese University of Hong Kong, 2007.08-2010.07
Mathematical teacher, No. 102 Middle School in Tianjin, 2016.07-2017.07
Teaching
MTH014, Calculus of Multivariables
MTH004, Calclus of Multivariables
MTH019, Calculus of Single Variable
Awards and honours
Highly commended outstanding teacher in 2017
silver award for the best scientific paper of year 2018 in the international conferece of union of mathematical imaging 2018
Education/Academic qualification
Post-doctorial, Nanyang Technological Unversity, Singapore, 2011
Ph. D., The Chinese University of Hong Kong, Hong Kong, 2010
M. Sc., Shanghai University, Shanghai, China, 2006
B. Sc. Qufu Normal Univeersity, Qufu, China, 2003
Person Types
- Staff
Fingerprint
Dive into the research topics where Haixia Liang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 10 Finished
-
Robust and Efficient Preconditioning Techniques for Numerical Solution of Incompressible Navier-Stokes Equations
Niu, Q., Ma, F., Liang, H. & Zhu, S.
1/01/19 → 30/06/23
Project: Internal Research Project
-
Fast iterative solvers for algebric systems arising form radiative transfer problems
Zhu, S., Niu, Q., Ma, F., Liang, H. & 申斌瑞
1/01/19 → 31/12/20
Project: Governmental Research Project
-
Heterogeneous High-throughput Data Association
Ma, F., Niu, Q., Zhou, Y., Liang, H., 赵科科, 马静, Wathen, A., 申槟瑞 & 朱圣鑫
1/01/19 → 31/12/21
Project: Internal Research Project
-
Fractional-order Variation Model and Its Applications in Image Processing
Liang, H., Niu, Q., Ma, F., Chen, K. & Zhu, S.
1/09/18 → 31/12/23
Project: Internal Research Project
-
-
Dual algorithm for truncated fractional variation based image denoising
Liang, H. & Zhang, J., 1 Sept 2020, In: International Journal of Computer Mathematics. 97, 9, p. 1849-1859 11 p.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Truncated Fractional-Order Total Variation Model for Image Restoration
Chan, R. H. & Liang, H. X., 1 Dec 2019, In: Journal of the Operations Research Society of China. 7, 4, p. 561-578 18 p.Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus) -
High-order total variation regularization approach for axially symmetric object tomography from a single radiograph
Chan, R. H., Liang, H., Wei, S., Nikolova, M. & Tai, X. C., 2015, In: Inverse Problems and Imaging. 9, 1, p. 55-77 23 p.Research output: Contribution to journal › Article › peer-review
Open Access31 Citations (Scopus) -
Half-quadratic algorithm for ℓp-ℓq problems with applications to TV-ℓ1 image restoration and compressive sensing
Chan, R. H. & Liang, H. X., 2014, Efficient Algorithms for Global Optimization Methods in Computer Vision - International Dagstuhl Seminar, Revised Selected Papers. Springer Verlag, p. 78-103 26 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8293 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
40 Citations (Scopus)