王卫卫，西安电子科技大学教授、博士生导师。分别于1993，1998和2001年在西安电子科技大学应用数学系获得应用数学专业学士、硕士和博士学位。曾在澳大利亚悉尼大学、美国宾夕法尼亚大学、杜兰大学、新奥尔良大学、香港理工大学做访问研究。任中国数学会计算数学分会10,11届理事，曾任陕西省计算数学学会副理事长（2014-2019）。主要研究方向：机器学习、深度学习、图像处理的数学方法。主持完成国家自然科学基金面上项目3项。曾获陕西省科技奖1项，陕西高等学校科学技术研究优秀成果奖2项，陕西省电子学会优秀成果奖1项。在科学出版社合作出版科研专著《图像处理的变分与偏微分方程方法》、《图像处理的多尺度分析方法》2部，在国内外重要学术期刊与会议上合作发表论文100余篇，SCI检索论文50余篇，发表期刊包括SIAM J. on Multiscale Modeling and Simulation，IEEE Trans. on Image Processing，IEEE Trans. On Circuits and Systems for Video Technology，Pattern Recognition，Signal Processing等。

                            

POSITION

Weiwei Wang, Professor of Mathematics, PH.D advisor

E-mail   wwwang@mail.xidian.edu.cn 

 

RESEARCH INTERESTS

Image restoration              deep learning, variational methods, partial differential equations, sparse representation

Data Clustering                   deep learning, sparse representation          

Image segmentation        active contour/level set methods, image feature clustering

EDUCATIONAL BACKGROUND

Ph.D., Applied Mathematics, Xidian University, Xi’an, China, 2001

M.S., Applied Mathematics, Xidian University, Xi’an, China, 1998

B.S., Applied Mathematics, Xidian University, Xi’an, China, 1993

 

Awards
• The second prize for Science and Technology Awards of Colleges and Universities in Shaanxi Province, 2018
• The second prize for distinguished textbook “Numerical Analysis”, Xidian University, 2015;
• The first prize for high-quality teaching at Xidian University, 2014;
• The first prize for outstanding research at Xidian University, 2003.

GRANTS
NSFC, 1/1/2009-31/12/2011, Cartoon+Texture Decomposition of Images
NSFC, 1/1/2015-31/12/2018, Image segmentation based on high-dimensional features and sparse subspace clustering

NSFC, 1/1/2019-31/12/2023, Image segmentation based on multiview subspace clustering

PUBLICATIONS

A. Books, Co-authored

X. Feng, W. Wang, Xixi Jia, Multiscale Methods for Image Processing, China Science Publishing&Media Ltd., (2024).

X. Feng, W. Wang, Variational and PDE Methods for Image Processing, China Science Publishing&Media Ltd., (2008).

B. Selected Journal Paper

1. Canlin Gan, Weiwei Wang*，Normalized solutions for an anisotropic nonlinear Schrödinger equation with potentials，Fractal Fraction, 2026, 10(4), 232.

2. Canlin Gan, Weiwei Wang*，Existence of ground state solutions for Klein–Gordon–Maxwell systems with a weighted critical exponent, Complex Variables and Elliptic Equations, (05 Jan 2026):DOI: 10.1080/17476933.2025.2609100. 

3. Kaige Cui, Weiwei Wang*, Yi Wu, Yujie Wang, Structure Awareness Wavelet Transformer Network for Low Light Image Enhancement, Circuit,system and signal processing, 2026.1.28, online.

4. Yi Wu, Weiwei Wang*, Yujie Wang, Kaige Cui,  Large Kernel Information-interaction Network for single image super-resolution，Computer Vision and Image Understanding，264 (2026) 104633，1-10.

5. Yujie Wang，Weiwei Wang*，Yi Wu，Kaige Cui，Enhancing self-supervised image denoising with asymmetric mask blind-spot network，The Visual Computer (2026) 42:183.

6. Chen Guan, Haihong Ai*, Weiwei Wang, Ravi P. Singh, Shiya Song. DiffMCG: A diffusion model with mask-conditioned guiding module for medical image classification[J]. Neural Networks, 2026, 199: 108690.

7. Chen Guan, Haihong Ai*, Weiwei Wang, Ravi P. Singh, Shiya Song. AGR-IBKAN: An attention-guided regional information bottleneck Kolmogorov-Arnold network for medical image classification[J]. Biomedical Signal Processing and Control, 2026.

8. Xiaofang Li, Weiwei Wang*, Yu Han, Xiangchu Feng，Structure Aware Transfer Function Network for Low Light Image Enhancement, Engineering Applications of Artificial  Intelligence, 141 (2025) 109749.

9. Shengjiang Kong, Weiwei Wang*,  Noise Blind Deep Residual Wiener Deconvolution Network for Image Deblurring, Digital signal processing,  165 (2025) 105304.

10. Chuan Chen, Weiwei Wang*, Xixi Jia, Xiangchu Feng, Hanjia Wei,  Local Gaussian Ensemble for Arbitrary-Scale Image Super-Resolution, Computer Vision and Image Understanding, 257(2025) 104372.

11. Shengjiang Kong， Weiwei Wang*， Yu Han， Xiangchu Feng，Noise Variances and Regularization Learning Gradient Descent Network for Image Deconvolution, Journal of Visual Communication and Image Representation，107 (2025) 104391

12. Chen Guan, Weiwei Wang, Haihong Ai , and Ravi P. Singh，A White-Box Module for Medical Image Multi-Classification via Bias Dendrite Net，IEEE Transactions on Instrumentation and measurement, 2025, 74: 5021712.

13. Hanjia Wei, Weiwei Wang, Xixi Jia∗, Xiangchu Feng, Chuan Chen，OMLK-Net: An Online Multi-scale Large Separable Kernel Distillation Network for efficient image super-resolution，Signal Processing, 237 (2025) 110078

14. Chunyu Yang，Weiwei Wang，Edge Enhancing Based Blind Kernel Estimation for Deep Image Deblurring，Circuits, Systems, and Signal Processing,(2025) 44:1017–1044

15. Wenhao Wu, Weiwei Wang*, Xixi Jia, Xiangchu Feng, Transformer Autoencoder for K-means Efficient clustering, Engineering Applications of Artificial Intelligence, 133 (2024) 108612.

16. Xiaofang Li, Weiwei Wang*, Xiangchu Feng, Min Li, Deep parametric Retinex decomposition model for low-light image enhancement, Computer Vision and Image Understanding, 2024(241):103948.

17. Ruolan Tang, Weiwei Wang*, Yu Han, Xiangchu Feng, Grownbb: Gromov–Wasserstein learning of neural best buddies for cross-domain correspondence,The Visual Computer, 40(2024):8517–8530.

18. Yixing Ji, Shengjiang Kong, Weiwei Wang*, Xixi Jia, Xiangchu Feng, Iterative decoupling deconvolution network for image restoration, Journal of Visual Communication and Image Representation,104 (2024) 104288.

19. Xiaofang Li, Weiwei Wang*, Xiangchu Feng, Tingting Qi, Cartoon-Texture decomposition with patch-wise decorrelation, Journal of Visual Communication and Image Representation, 2023(90):103726.

20. Canlin Gan and Weiwei Wang*, Existence result for critical Klein-Gordon-Maxwell system involving steep potential well, AIMS mathematics, 2023.9, 8(11): 26665-26681. 

21. Shengjiang Kong, Weiwei Wang*, Xiangchu Feng, and Xixi Jia, Deep RED Unfolding Network for Image Restoration, IEEE Trans.on Image Processing, vol. 31, 2022, pp.852-867.

22. Chunyu Yang, Weiwei Wang*, Xiangchu Feng, Joint image restoration and edge detection in cooperative game formulation, Signal Processing, 191(2022):108363.

23. Wenxiu Zhao, Weiwei Wang*, Xiangchu Feng, Yu Han, A new variational method for selective segmentation of medical images, Signal Processing，190 (2022) :108292.

24. Chunyu Yang, Weiwei Wang*, Xiangchu Feng, Ruiqiang He, Group Discriminative least square regression for multicategory classification, Neurocomputing, 407(2020):175-184, 2020.5

25. Chunyu Yang, Weiwei Wang*, Xiangchu Feng, Classification-Friendly Sparse Encoder and Label Transformation Learning, IEEE Access, Vol.8, pp.54494-54505, 2020.3.

26. Hua Huang, C. Lu, L. Zhang, Weiwei Wang*, Convergence and stability analysis of the half thresholding based few-view CT reconstruction, J. Inverse Ill-Posed Problems, May 31, 2020.

27. Chunyu Yang, Weiwei Wang*, Xiangchu Feng, Xin Liu, Weighted l1 Method Noise Regularization for Image Deblurring, Signal Processing, 157, 2019:14-24.

28. Xixi Jia, Xiangchu Feng, Weiwei Wang, et al. Online Schatten quasi-norm minimization for robust principal component analysis, Information Sciences, 476,83-94, 2019.

29. Yafeng Li, Qijun Zhao, Xiangchu Feng, Weiwei Wang, Rui Zhang, An Yan, A variational image segmentation method exploring both intensity means and texture patterns, Signal Processing: Image Communication, 76:214-230, 2019.

30. Weiwei Wang*, Chunyu Yang, Huazhu Chen, and Xiangchu Feng, Unified Discriminative and Coherent Semi-Supervised Subspace Clustering, IEEE Trans. On Image Processing, 2018.5, 27(5):2461-2470. 

31. Weiwei Wang*, B. Zhang, X. Feng, Subspace Segmentation by Correlation Adaptive Regression, IEEE Trans. On Circuits and Systems for Video Technology, 2018.10, 28(10): 2612-2621.

32. Huazhu Chen, Weiwei Wang*, Xiangchu Feng, Structured Sparse Subspace Clustering with Within-Cluster Grouping, Pattern Recognition，83 (2018):107–118.

33. Huazhu Chen, Weiwei Wang*, Xiangchu Feng, Ruiqiang He, Discriminative and coherent subspace clustering, Neurocomputing, 284 (2018):177–186.

34. Xixi Jia, Xiangchu Feng, Weiwei Wang, Chen Xu, Lei Zhang, Bayesian inference for adaptive low rank and sparse matrix estimation, Neurocomputing, 2018.2, 291 (2018) 71–83.

35. Xixi Jia, Xiangchu Feng, Weiwei Wang, Lei Zhang. An extended variational image decomposition model for color image enhancement. Neurocompting，322,216-228,2018.

36. Weiwei Wang*, Cuiling Wu, Image Segmentation by Correlation Adaptive Weighted Regression, Neurocomputing, Dec.6, 2017, vol.267, pp.426–435.

37. Xiaoping Li, Weiwei Wang*, Xiangchu Feng, et al., Image denoising via bidirectional low rank representation with cluster adaptive dictionary, IET Image Processing, 2016.10,10(12):952-961.

38. Cuiling Wu, Weiwei Wang*, Image segmentation by adaptive nonconvex local and global subspace representation, J. Electron. Imaging，25(3), 033026 (2016).

39. Xixi Jia, Xiangchu Feng, Weiwei Wang, Rank constrained nuclear norm minimization with application to image denoising, Signal Processing,  2016, 129: 1-11.

40. S. Wang, X. Feng, W. Wang, "Low-rank + Dual" Model Based Dimensionality Reduction, Neurocomputing, Vol.178, pp.3-10, 2016.2.

41. X. Feng, L. Luo, X. Jia, W. Wang, A-divide-and-conquer stochastic alterable direction image denoising method, Signal Processing, 108:90-101,2015.

42. Weiwei Wang*, D. Zhai, T. Li, X. Feng, Salient edge and region aware image retargeting, Signal Processing: Image Communication, vol. 29, pp.1223–1231, 2014.8.

43. X. Zhang, X. Feng, W. Wang, Two direction nonlocal model for image denoising, IEEE Trans. on Image Processing, vol.22, no.1, pp.408-412, 2013.

44. X. Zhang, X. Feng, W. Wang, W. Xue, Edge Strength Similarity for Image Quality Assessment[J]. IEEEE Signal Processing Letters, vol. 20, no.4, pp.319-322, 2013.

45. X. Zhang, X. Feng, W. Wang, G. Liu. Image Denoising via 2D dictionary learning and adaptive hard thresholding [J]. Pattern Recognition Letters, vol.34, no.16, pp.2110-2117, 2013.

46. Y. Han, X. Feng, G. Baciu, W. Wang, Nonconvex sparse regularizer based speckle noise removal, Pattern Recognition, vol.46, no.3, pp.989-1001, 2013.

47. X. Zhang, X. Feng, W. Wang, G. Liu, Two direction nonlocal model for imager interpolation[J]. SCIENCE CHINA, Technological series, vol.56, no.4, pp.930-939, 2013.

48. Y. Han, W. Wang, X. Feng, A new fast multiphase image segmentation algorithm based on nonconvex regularizer, Pattern Recognition, vol.45, no. 1, pp.363-372, 2012.

49. X. Feng, G. Liu, W. Wang, Iterative regularization and inverse scale space methods with wave atoms, Applicable Analysis, vol.90, no.8, pp.1215-1225, 2011.

50. Weiwei Wang*, X. Feng, Anisotropic Diffusion with Nonlinear Structure Tensor, SIAM J. Multiscale modeling and simulation, 2008, 7(2):963-977.

51. Weiwei Wang*, Penglang Shui, Xiangchu Feng, Variational models for fusion and denoising of multi-focus images. IEEE signal processing letters, 2008.7, 15(1):65-68.

C. Selected Conference Paper

1. Weiwei Wang* and Haonan Deng，Efficient Unsupervised Clustering with Variational Information Bottleneck: A Fusion of Contrastive Learning and Alternating Optimization. In 2024 International Conference on Image Processing, Multimedia Technology and Maching Learning (IPMML 2024), December 27–29, 2024, Dali, China. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3722405.3722441

2. Wenhao Wu; Weiwei Wang*; Shengjiang Kong; Deep Structure and Attention aware Subspace Clustering  (DSASC), The 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, Xiamen, China, 2023-10-13- 2023-10-15.

3. W. Wang*, C. Yang, Q. Li, Discriminative analysis dictionary and classifier learning for pattern classification, IEEE Inter. Conf. On Image Processing, Taibei, 2019

4. C. Yang, W. Wang*, X. Feng，Group discriminative least square regression, ISICDM2019, August 24-26, Xi’an, China, 324-329

5. Q. Wang, W. Wang*, X. Feng，Subspace clustering by relaxed block diagonal representation, ISICDM2019, August 24-26, Xi’an, China, 343-348

6. A. Razi, W. Wang*, X. Feng, Image Segmentation by Active Contour Model with a New Data Fidelity, 2017 International Conference on Machine Vision and Information Technology (CMVIT 2017), Singapore, March 16, 2017

7. A. Razi, W. Wang*, X.Feng, An Active Contour Method Using Harmonic Mean, IEEE 2016 International Conference on Signal and Image Processing (ICSIP 2016), Beijing, China, 13-15 August 2016, pp.287-291

8. X. Jia,  X Feng, W. Wang, Adaptive regularizer learning for low rank approximation with application to image denoising, [C] IEEE Inter.  Conf.  On Image Processing, 2016: 3096-3100.

9. W. Wang*, C. Wu, H. Huang, X. Feng, Subspace Clustering by weighted correlation adaptive regression, Proceedings of the 2016 International Conference on Machine Learning and Cybernetics (ICMLC2016), Jeju, South Korea, 10-13 July 2016, pp.453-458.

10. H. Chen, W. Wang*, C. ZHAO, H. Huang, Simultaneous Multiphase image segmentation and Cartoon-texture Decomposition，Proceedings of the 2016 International Conference on Wavelet Analysis and Pattern Recognition(ICWAPR2016), Jeju, South Korea, 10-13 July  2016, pp.230-235.

11. X. Li, W. Wang*, A. Razi, T. Li, Nonconvex low-rank sparse factorization for image segmentation [C]. in Proceedings of the 11th International Conference on Computational Intelligence and Security, 2015, 227-230.

12. Jing Li, Weiwei Wang*, Xiaoping Li. Image retargeting based on a new salient region detection method [C]. in Proceedings of the 11th International Conference on Computational Intelligence and Security, 2015, 179-182.

13. Tao Li, Weiwei Wang*, Xiangchu Feng, Long Xu, Image Denoising Using Low-Rank Dictionary and Sparse Representation[C] 2014 International Conference on Computational Intelligence and Security (CIS'2014), November 15-16, 2014, Kunming, Yunnan Province, China. pp.228-232.

14. Z. Li, W. Wang*, P. Shui, Parameter estimation and two-stage segmentation algorithm for the Chan –Vese model, IEEE Inter. Conf. On Image Processing, Atlanta, GA, USA, 8-11, Oct. 2006: 201-204.

15. W. Wang*, P. Shui, G. Song, Multifocus image fusion in wavelet domain. IEEE Inter. Conf. on Machine Learning and Cybernetics, Xi’an, 2003.11, 5:2887-2890.