Wenhua Zhang（张文华）

Postdoctoral Researcher School of Computer Science and Engineering, Nanjing University of Science and Technology. Email：whzhang@njust.edu.cn; zhangwenhua_nuc@163.com.

Biography

Received the B.S. degree in communication engineering from the North University of China, Taiyuan, China, in 2015, and the Ph.D. degree from Xidian University, Xi’an, China, in 2021.

My research interests include machine learning and image processing. I especially focus on object tracking in satellite videos, object recognition in optical remote sensing images, and change detection in SAR images.

Selected Journal Papers

[1] Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang and Jia Liu, “DFAT: Dynamic Feature-Adaptive Tracking,” in IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT), Accepted, 2022.

[2] Wenhua Zhang, Licheng Jiao, Yuxuan Li and Jia Liu, “Sparse Learning-Based Correlation Filter for Robust Tracking,” in IEEE Transactions on Image Processing (IEEE T-IP), vol. 30, pp. 878-891, 2021.

[3] Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang and Jia Liu, “Adaptive Contourlet Fusion Clustering for SAR Image Change Detection,” in IEEE Transactions on Image Processing (IEEE T-IP), vol. 31, pp. 2295-2308, 2022.

[4] Wenhua Zhang, Licheng Jiao, Fang Liu, Jia Liu and Zhen Cui, “LHNet: Laplacian Convolutional Block for Remote Sensing Image Scene Classification,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE T-GRS), Accepted, 2022.

[5] Wenhua Zhang, Licheng Jiao, Yuxuan Li, Zhongjian Huang and Haoran Wang, “Laplacian Feature Pyramid Network for Object Detection in VHR Optical Remote Sensing Images,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE T-GRS), vol. 60, pp. 1-14, Art no. 5604114, 2022.

[6] Wenhua Zhang, Licheng Jiao, Fang Liu, Lingling Li, Xu Liu and Jia Liu, “MBLT: Learning Motion and Background for Vehicle Tracking in Satellite Videos,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE T-GRS), vol. 60, pp. 1-15, Art no. 4703315, 2022.

[7] Wenhua Zhang, Licheng Jiao, Fang Liu, Shuyuan Yang, Wei Song and Jia Liu, “Sparse Feature Clustering Network for SAR Image Change Detection,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE T-GRS), vol. 60, pp. 1-13, Art no. 5226713, 2022.

[8] Jia Liu, Wenhua Zhang, Fang Liu and Liang Xiao, “A Probabilistic Model Based on Bipartite Convolutional Neural Network for Unsupervised Change Detection,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE T-GRS), vol. 60, pp. 1-14, Art no. 4701514, 2022.

[9] Jia Liu, Wenhua Zhang, Fang Liu and Liang Xiao, “Deep Associative Learning for Neural Networks,” in Neurocomputing, vol. 443, pp. 222-234, 2021.

[10] Jia Liu, Maoguo Gong, Liang Xiao, Wenhua Zhang and Fang Liu, “Evolving Connections in Group of Neurons for Robust Learning,” in IEEE Transactions on Cybernetics (IEEE T-Cyb), vol. 52, no. 5, pp. 3069-3082, 2022.

Selected Conference Papers

[1] Wenhua Zhang, Haoran Wang, Zhongjian Huang, Yuxuan Li, Jinliu Zhou and Licheng Jiao, “Accurate and Long-Term Tracking via Overlap Maximization Integrated with Motion Continuity,” 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), Seoul, Korea (South), 2019, pp. 109-117.

[2] Wenhua Zhang, Licheng Jiao, Xu Liu and Jia Liu, “Multi-Scale Feature Fusion Network for Object Detection in VHR Optical Remote Sensing Images,” 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Yokohama, Japan, 2019, pp. 330-333. (Oral)

[3] Jia Liu, Wenhua Zhang, Maoguo Gong and Haibo He, “Nucleus Neural Network: A Data-driven Self-organized Architecture,” 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020, pp. 1-8. (Oral)

[4] Yuxuan Li, Licheng Jiao, Xu Tang, Xiangrong Zhang, Wenhua Zhang and Li Gao, “Weak Moving Object Detection in Optical Remote Sensing Video with Motion-Drive Fusion Network,” 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Yokohama, Japan, 2019, pp. 5476-5479. (Oral)

[5] Xin Zhang, Licheng Jiao, Xu Liu, Xiaotong Li, Wenhua Zhang, Hao Zhu and Jie Zhang, “A Deep Learning Filter for Visual Drone Single Object Tracking,” 2020 European Conference on Computer Vision Workshop (ECCVW), Glasgow, UK, August, pp. 638-650. (Oral)

[6] Haoran Wang, Zexin Wang, Meixia Jia, Aijin Li, Tuo Feng, Wenhua Zhang and Licheng Jiao, “Spatial Attention for Multi-Scale Feature Refinement for Object Detection,” 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), Seoul, Korea (South), 2019, pp. 64-72.

Honors

[1] 张文华，张洪波，罗秀红，“2013全国大学生数学建模竞赛”，本科组二等奖.

[2] Wenhua Zhang，Yang Meng，“2018 European Conference on Computer Vision (ECCV)：VisDrone Challenge - Single Object Tracking Challenge”，the 3rd place.

[3] Wenhua Zhang，Haoran Wang，Jinliu Zhou，“2019 IEEE/CVF International Conference on Computer Vision (ICCV)：VisDrone Challenge - Single Object Tracking Challenge”，the 2nd place.

Services

Reviewer of IEEE T-IP/IEEE T-GRS.