Name: Wang Gang
Title: Associate Researcher
Research Direction: Computer Vision, Pattern Recognition, Deep Learning, Digital Image Processing
Courses Taught: Data Structures, Pattern Recognition and Image Processing
E - mail: gwang.cv@mail.shufe.edu.cn; Phone: 65901231
Research Field
Computer Vision and Pattern Recognition
1. Feature matching problems, specifically including image matching, camera pose estimation, visual localization, point cloud registration.
2. Medical image processing, specifically including registration and segmentation of fundus retinal images.
Education Experience
2016, Tongji University, Computer Science and Technology, PhD
In 2013, Shandong Normal University, Major in Computer Science and Technology, Master's Degree
2009, Shandong Normal University, Computer Science and Technology, Bachelor's degree
Work Experience
Since 2024, Chair Associate Professor at Shanghai University of Finance and Economics
Since 2019, Shanghai University of Finance and Economics, School of Statistics and Data Science, Associate Researcher, Doctoral Supervisor
2016-2019, Shanghai University of Finance and Economics, School of Statistics and Data Science, Assistant Researcher, Master's Supervisor
Selected Publications:
[1] Gang Wang, Yufei Chen, Bin Wu, CHCANet: Two-view Correspondence Pruning with Consensus-Guided Hierarchical Context Aggregation, Pattern Recognition, 2025, Vol. 116, 111282.
[2] Gang Wang, Yufei Chen, Two-view Correspondence Learning with Local Consensus Transformer, IEEE Transactions on Neural Networks and Learning Systems, 2025, Vol. 36, Issue 7, pp. 11861 - 11874.
[3] Gang Wang, LPOT: Locality-Preserving Gromov-Wasserstein Discrepancy for Nonrigid Point Set Registration, IEEE Transactions on Neural Networks and Learning Systems, 2024, Vol. 35, Issue 7, pp. 9213-9225.
[4] Gang Wang, Yufei Chen, Local Consensus Transformer for Correspondence Learning, IEEE International Conference on Multimedia and Expo, 2023.
[5] Gang Wang, Yufei Chen, MCNet: Multiscale Clustering Network for Two-view Geometry Learning and Feature Matching, IEEE/CAA Journal of Automatica Sinica, 2023, Vol.10, Issue 6, pp. 1507-1509.
[6] Gang Wang, Haibo Shi, Yufei Chen, Bin Wu, Unsupervised Image-to-Image Translation via Long-Short Cycle-Consistent Adversarial Networks, Applied Intelligence, 2023, Vol. 53, pp. 17243–17259.
[7] Gang Wang, Yufei Chen, Robust Feature Matching Using Guided Local Outlier Factor, Pattern Recognition, 2021, Vol. 117, 107986.
[8] Chonglin Chen, Gang Wang*, IOSUDA: An Unsupervised Domain Adaptation with Input and Output Space Alignment for Joint Optic Disc and Cup Segmentation, Applied Intelligence, 2021, Vol. 51, pp. 3880-3898.
[9] Gang Wang, Yufei Chen, SCM: Spatially Coherent Matching with Gaussian Field Learning for Nonrigid Point Set Registration, IEEE Transactions on Neural Networks and Learning Systems, 2020, Vol. 32, No. 1, pp. 203-213.
[10] Gang Wang, Yufei Chen, Xiangwei Zheng, Gaussian Field Consensus: A Robust Nonparametric Matching Method for Outlier Rejection. Pattern Recognition, 2018, Vol. 74, pp. 305-316.
[11] Gang Wang, Qiangqiang Zhou, Yufei Chen, Robust Non-rigid Point Set Registration Using Spatially Constrained Gaussian Fields. IEEE Transactions on Image Processing, 2017, Vol. 26, No. 4, pp. 1759-1769.
[12] Gang Wang, Zhicheng Wang, Yufei Chen, Qiangqiang Zhou, Weidong Zhao, Context-Aware Gaussian Fields for Non-rigid Point Set Registration. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5811-5819.
[13] Gang Wang, Zhicheng Wang, Yufei Chen, Weidong Zhao, A Robust Nonrigid Point Set Registration Method Based on Asymmetric Gaussian Representation. Computer Vision and Image Understanding, 2015, Vol. 141, pp. 67-80.
[14] Gang Wang, Zhicheng Wang, Yufei Chen, Weidong Zhao, Robust Point Matching Method for Multimodal Retinal Image Registration. Biomedical Signal Processing and Control, 2015, Vol. 19, pp. 68–76.
2022 Shanghai University of Finance and Economics 12th "The Good Teacher in My Heart"
2022 Shanghai University of Finance and Economics Undergraduate Admissions Promotion "Outstanding Individuals"
Social Work
PC Member/Reviewer：AAAI、ICASSP、ICME、IEEE T-IP、IEEE T-MM、IEEE T-ASE、IEEE T-GRS、PR、KBS
