I received my Ph.D. degree at National Key Laboratory of Fundamental Science on Synthetic Vision,Sichuan University, in December of 2025，supervised by Prof. Ziliang Feng. I received master’s degree from Xihua University, in 2016,under the supervision of Prof. Zhisheng Gao.

I am currently a member at Intelligent Policing Key Laboratory of Sichuan Province, Sichuan Police College, Chengdu, China. My research focuses on low-level vision,computer vision and multimedia forensics.

Research Interest

  • Low-level vision: visual information fusion,Face Restoration;
  • Computer Vision: Person Re-identification,RGB-T Tracking;
  • multimedia forensics: Face forgery,Image Forgery

Email:

  • chengfangzhang@scpolicec.edu.cn

Wechat/Zhihu

Publications

Journal papers

32. MD-GVCGAN: Adaptive graph variational convolutional generative adversarial network based on generative predictive models
Chengjie Li, Xiaomin Fan, Yi Zheng, Yanglin Wang, Lidong Zhu*,Jianhua Zhang, Wen Zhong,Chengfang Zhang
Biomedical Signal Processing and Control, 2026
[paper]
31. CMF2A: Cross-Modal Fine-grained Feature Alignment for text-based person re-identification
Chengfang Zhang* ,lin qingfeng, Feng Ziliang
Knowledge-Based Systems, 2026
[paper][code]
30. Enhanced infrared and visible image fusion framework via latent low-rank with coupled feature learning
Liang Yueyang,Chengfang Zhang* , Feng Ziliang,junhao heYuhang Deng
Signal Processing: Image Communication, 2026
[paper][code]
29. Robust RGBT tracking via evidential fusion and dynamic temporal gating
Yuhang Deng,Chengfang Zhang*,Feng Ziliang
Vis Comput, 2026
[paper][code]
28. A lightweight knowledge reasoning method for large-scale knowledge graphs
Han Zhang, Whenjun Zhou, Bingzhi Xu, Yuanbo Guo,Chengfang Zhang*
The Journal of Supercomputing, 2026
[paper]
27. MDCFusion Enhancing infrared and visible image fusion through Multi-Scale Dense Convolutional Sparse Coding
junhao he,Chengfang Zhang*,yue pan, Feng Ziliang
Signal Processing: Image Communication, 2026
[paper][code]
26. Enhanced visible-infrared pedestrian re-identification through feature decoupling with semi-orthogonal matrix
Shuohan Li,Chengfang Zhang*, Feng Ziliang, Xusong Ran
Multimedia Systems, 2026
[paper][code]
25. A detail preservation fusion framework for infrared–visible images via Bayesian and MDLatLRR
Yang Zhengrun,Chengfang Zhang*, Zhou Xucheng,Pan Yue, Feng Ziliang
The Visual Computer, 2025
[paper][code]
24. PatchTSFL: Patch Fourier Enhanced Linear for Long-Term Time-Series Forecasting
Ling Li*,Xianyun Wen,Weibang Li,Chengjie Li,Chengfang Zhang
IEEE Access, 2025,13
[paper]
23. Few-Shot Graph Anomaly Detection via Dual-Level Knowledge Distillation
Xuan Li*,Dejie Cheng*,Luheng Zhang,Chengfang Zhang, Feng Ziliang
Entropy, 2025,27(1)
[paper]
22. Integrating EPSOSA-BP neural network algorithm for enhanced accuracy and robustness in optimizing coronary artery disease prediction
Chengjie Li, Yanglin Wang, Linghui Meng, Wen Zhong,Chengfang Zhang*, Tao Liu
Scientific Reports, 2024
[paper]
21. Improved multi-focus image fusion using online convolutional sparse coding based on sample-dependent dictionary
He Sidi,Chengfang Zhang*, Li Haoyue , Feng Ziliang
Signal Processing: Image Communication, 2024
[paper]
20. A Hybrid Approach of Prompt-based Learning and Rules for Domain Specific Named Entity Recognition
ZHANG Han,ZHANG Yazhou, XU Bingzhi, ZHANG Chengfang*
J. Zhengzhou Univ. (Nat. Sci. Ed. ), 2024
[paper]
19. BSNet: A bilateral real-time semantic segmentation network based on multi-scale receptive fields
Jin Zhenyi , Dou Furong,Feng Ziliang, Chengfang Zhang*
Journal of Visual Communication and Image Representation, 2024
[paper][code]
18. Ghost-Unet: multi-stage network for image deblurring via lightweight subnet learning
Feng Ziliang,Zhang Ju , Ra, Xusong , L, Donglu,Chengfang Zhang*
The Visual Computer, 2024
[paper]
17. Multi-focus image fusion via online convolutional sparse coding
Chengfang Zhang*, Zhang Ziyou , Li Haoyue , He Sidi , Feng Ziliang
Multimedia Tools and Applications, 2024, Volume: 83
[paper][code]
16. Joint sparse model with coupled dictionary for medical image fusion
Chengfang Zhang*, Zhang Ziyou , Feng Ziliang,Yi Liangzhong
Biomedical Signal Processing and Control, 2023, Volume: 79
[paper][code]
15. Recent advances via convolutional sparse representation model for pixel-level image fusion
Pan Yue , Lan Tianye , Xu Chongyang,Chengfang Zhang*, Feng Ziliang
Multimedia Tools and Applications, 2023
[paper]
14. Image fusion using online convolutional sparse coding
Chengfang Zhang*, Zhang Ziyou , Feng Ziliang
Journal of Ambient Intelligence and Humanized Computing, 2023, Volume: 4
[paper]
13. Efficient real-time semantic segmentation: accelerating accuracy with fast non-local attention
Lan Tianye , Dou Furong, Feng Ziliang,Chengfang Zhang*
The Visual Computer, 2023
[paper]
12. Joint coupled dictionaries-based visible-infrared image fusion method via texture preservation structure in sparse domain
Chengfang Zhang*, Li Haoyue , Feng Ziliang , He Sidi
Computer Vision and Image Understanding, 2023, Volume: 235
[paper][code]
11. A Novel Fusion Method Based on Online Convolutional Sparse Coding with Sample-Dependent Dictionary for Visible–Infrared Images
Li Haoyue , Chengfang Zhang* , Sidi He,Feng Ziliang,Liangzhong Yi
Arabian Journal for Science and Engineering, 2023, Volume: 48
[paper][code]
10. Convolutional analysis operator learning for multifocus image fusion
Chengfang Zhang*, Feng Ziliang
Signal Processing: Image Communication, 2022 ,Volume: 103
[paper]
9. EASNet: a multi-scale attention semantic segmentation network combined with asymmetric convolution
Dou Furong,Chengfang Zhang*, Hu Die,Feng Ziliang
Journal of Electronic Imaging, 2022 ,Volume: 31
[paper]
8. Human Instance Guided Two-Stream Network for Person Re-identification
He Xudong,Chengfang Zhang*, Dou Furong,Feng Ziliang
Journal of Electronic Imaging, 2022 ,Volume: 31
[paper]
7. Infrared-visible image fusion using accelerated convergent convolutional dictionary learning
Chengfang Zhang*,Feng Ziliang
Arabian Journal for Science and Engineering, 2022, Volume: 47
[paper][code]
6. Multifocus image fusion using a convolutional elastic network
Chengfang Zhang*
Multimedia Tools and Applications, 2022, Volume: 81
[paper]
5. Multifocus image fusion using convolutional dictionary learning with adaptive contrast enhancement
Chengfang Zhang*
Journal of Electronic Imaging, 2021, Volume: 30
[paper]
4. Multi-focus image fusion using multi-scale transform and convolutional sparse representation
Chengfang Zhang*
International Journal of Wavelets, Multiresolution and Information Processing, 2021, Volume: 19
[paper][code]
3. Salient feature multimodal image fusion with a joint sparse model and multiscale dictionary learning
Chengfang Zhang*,Feng Ziliang , Gao Zhisheng , Jin Xin , Yan Dan , Yi Liangzhong
Optical Engineering, 2020, Volume: 59
[paper][code]
2. Multimodal image fusion with adaptive joint sparsity model
Chengfang Zhang*,Yi Liangzhong , Feng Ziliang , Gao Zhisheng , Jin Xin , Yan Dan
Journal of Electronic imaging, 2019, Volume: 28
[paper]
1. Texture clear muti-modal image fusion with joint sparsity model
Gao, Zhisheng*, Chengfang Zhang
Optik, 2017, Volume: 130.
[paper]

Conference papers

6. Unsupervised Image Restoration Using Domain Discriminator with Feature Disentangle
Chengfang Zhang*,Xusong Ran,Ziliang Feng(ICIG 2025), 2025
[paper]
5. Multi-Scale Hypergraph Relational Reasoning for Weakly Supervised Recognition of Group Activities
Chongyang Xu, Runtian Zheng, Ziliang Feng, Chengfang Zhang*
(ICME 2025), 2025
[paper]
4. An efficient medical image fusion via online convolutional sparse coding with sample-dependent dictionary
Chengfang Zhang*, Feng Ziliang , Zhang Chao , Yi Kai
(ICIG 2023), 2023, pages:3--13
[paper]
3. Infrared and visible image fusion using NSCT and convolutional sparse representation
Chengfang Zhang, Yue Zhen , Yi Liangzhong , Jin Xin , Yan Dan , Yang Xingchun*
(ICIG 2019), 2019, Beijing, China, August 23--25, pages:393--405
[paper]
2. Multimodal Image Fusion Based on a Convolutional Elastic Network
Chengfang Zhang*, Yan Dan,Yi Liangzhong
2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2019), 2019 pages:1008--1016
[paper]
1. Visible and infrared image fusion based on convolutional sparse coding with gradient regularization
Chengfang Zhang*, Yan Dan,Yi Liangzhong
2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2019), 2019 pages:1043--1049
[paper]

Academic Services

Reviewer for: KBS,ESWA,Information fusion,BSPC,Infrared Physics and Technology,Optics and Laser Technology,Biomedical Physics & Engineering Express,Image and Vision Computing,Neural Computing and Applications,Pattern Analysis and Applications,Machine Vision and Applications,Soft Computing,Optical and Quantum Electronics,Physics in Medicine and Biology,Frontiers in Physics,…

Member

CAAI Member, CSIG Member