博士研究生，副教授，硕士生导师
E-mail：zwd_wd@163.com
张卫东，毕业于大连海事大学，郑州大学在站博士后，目前就职于河南科技学院，主要研究方向为人工智能、计算机视觉。发表学术论文90余篇、出版英文专著1部、论文谷歌引用4400余次、H指数29、1作单篇最高引用700余次、ESI热点论文6篇、ESI高被引论文11篇、6篇论文入选最受欢迎文档（Popular Documents），主持中国博士后科学基金面上项目、河南省科技研发计划联合基金青年科学家项目等科研项目6项，入选河南省高等学校青年骨干教师、全球前2%年度影响力顶尖科学家、河南省“科技副总”。荣获河南省青年五四奖、河南省教育厅科技成果奖优秀科技论文一等奖3项、河南省国防科学技术进步一等奖2项、第九届人工智能与机器人国际会议“Best Student Paper”奖1项、河南省人社厅给予个人嘉奖、IEEE Journal of Oceanic Engineering杰出审稿人。
发表的代表性论文：
[1] W. Zhang, P. Zhuang, H.-H. Sun, G. Li, S. Kwong, C. Li. Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement[J]. IEEE Transactions on Image Processing, 31 (2022): 3997-4010.
[2] W. Zhang, L. Zhou, P. Zhuang, G. Li, X. Pan, W. Zhao, C. Li. Underwater Image Enhancement via Weighted Wavelet Visual Perception Fusion[J]. IEEE Transactions on Circuits and Systems for Video Technology, 34 (4) (2024): 2469-2483.
[3] W. Zhang, Q. Liu, Y. Feng, L. Cai, P. Zhuang. Underwater Image Enhancement via Principal Component Fusion of Foreground and Background[J]. IEEE Transactions on Circuits and Systems for Video Technology, 34 (11) (2024): 10930-10943.
[4] W. Zhang, Z. Li, G. Li, P. Zhuang, G. Hou, Q. Zhang, C. Li. GACNet: Generate Adversarial-Driven Cross-Aware Network for Hyperspectral Wheat Variety Identification[J]. IEEE Transactions on Geoscience and Remote Sensing, 62 (2024): 1-14.
[5] W. Zhang, M. Wang, P. Zhuang, D. Liu. Underwater Image Enhancement via Advantage Feature Weighted Fusion[J]. IEEE Transactions on Circuits and Systems for Video Technology, (2025): 1-14.
[6] W. Zhang, Q. Liu, H. Lu, J. Wang, J. Liang. Underwater Image Enhancement via Wavelet Decomposition Fusion of Advantage Contrast[J]. IEEE Transactions on Circuits and Systems for Video Technology, 35 (8) (2025): 7807-7820.
[7] G. Zhao, K. Zhang, Y. Wu, Z. Liang, W. Zhao, W. Zhang*. DFFR: DETR with Foreground-Guided Feature Refinement Network for End-to-End Underwater Object Detection[J]. IEEE Transactions on Industrial Informatics, (2026): 1-11.
[8] W. Zhang, H. Wang, P. Ren, W. Zhang*. Underwater Scene Clarity Reconstruction via Multilayer Information Fusion and Self-Organized Stitching[J]. IEEE Transactions on Circuits and Systems for Video Technology, (2025): 1-15.
[9] W. Zhao, W. Li, Y. Li, L. Yang, Z. Liang, E. Hu, W. Zhang*, H. Yang. Constructing Balanced Training Samples: A New Perspective on Long-Tailed Classification[J]. IEEE Transactions on Multimedia, 27 (2025): 5130-5143.
[10] L. Zhou, S. Cui, Q. Zhang, W. Zhao, Z. Liang, W. Zhang*. HSTNet: Hybrid Supervision-Driven Two-Stream Collaborative Network for Hyperspectral Wheat Variety Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 63 (2025): 1-16.
[11] W. Zhang, Z. Li, G. Li, L. Zhou, W. Zhao, X. Pan. AGANet: Attention-Guided Generative Adversarial Network for Corn Hyperspectral Images Augmentation[J]. IEEE Transactions on Consumer Electronics, 71 (2) (2025): 3683-3694.
[12] H. Lu, X. Zhao, Z. Liu, P. Zhuang, Z. Liang, W. Zhang*. FCNet: Frequency Co-Interaction Network with Color Restoration for Lowlight Image Enhancement[J]. IEEE Transactions on Consumer Electronics, 71 (2) (2025): 2618-2631.
[13] W. Zhang, L. Dong, W. Xu. Retinex-inspired color correction and detail preserved fusion for underwater image enhancement[J]. Computers and Electronics in Agriculture, 192 (2022): 106585.
[14] Y. Tian, W. Zhang*, P. Su, Y. Xu, P. Zhuang, X. Xie, W. Zhao. S4: Self-supervised learning with sparse-dense sampling[J]. Knowledge-Based Systems, 299 (2024): 112040.
[15] G. Zhao, K. Zhang, L. Wang, W. Zhao, W. Zhang*. CIDNet: Cross-Scale Interference Mining Detection Network for underwater object detection[J]. Knowledge-Based Systems, 324 (2025): 113902.
[16] W. Zhang, W. Zhao, J. Li, P. Zhuang, H. Sun, Y. Xu, C. Li. CVANet: Cascaded visual attention network for single image super-resolution[J]. Neural Networks, 170 (2024): 622-634.
[17] W. Zhang, G. Chen, P. Zhuang, W. Zhao, L. Zhou. CATNet: Cascaded attention transformer network for marine species image classification[J]. Expert Systems with Applications, 256 (2024): 124932.
[18] W. Zhang, B. Yu, G. Li, P. Zhuang, Z. Liang, W. Zhao. Unified multi-color-model-learning-based deep support vector machine for underwater image classification[J]. Engineering Applications of Artificial Intelligence, 138 (2024): 109437.
[19] P. Qu, L. Meng, G. Li, J. Wang, W. Zhao, Z. Liang, W. Zhang*. Underwater image quality evaluation via multidimensional perceptual characterization[J]. Optics and Lasers in Engineering, 199 (2026): 109564.
[20] W. Zhang, C. Li, H. Lu, J. Wang, W. Zhao, L. Zhou. VARNet: Variational adversarial residual-aware network for hyperspectral corn variety identification[J]. Optics & Laser Technology, 195 (2026): 114517.
[21] W. Zhang, S. Jin, P. Zhuang, Z. Liang, C. Li. Underwater Image Enhancement via Piecewise Color Correction and Dual Prior Optimized Contrast Enhancement[J]. IEEE Signal Processing Letters, 30 (2023): 229-233.
[22] W. Zhang, Y. Wang, C. Li. Underwater Image Enhancement by Attenuated Color Channel Correction and Detail Preserved Contrast Enhancement[J]. IEEE Journal of Oceanic Engineering, 47 (3) (2022): 718-735.
[23] W. Zhang, X. Sun, L. Zhou, X. Xie, W. Zhao, Z. Liang, P. Zhuang. Dual-branch collaborative learning network for crop disease identification[J]. Frontiers in Plant Science, 14 (2023).
[24] W. Zhang, Z. Li, H.-H. Sun, Q. Zhang, P. Zhuang, C. Li. SSTNet: Spatial, Spectral, and Texture Aware Attention Network Using Hyperspectral Image for Corn Variety Identification[J]. IEEE Geoscience and Remote Sensing Letters, 19 (2022): 1-5.
[25] W. Zhang, L. Dong, T. Zhang, W. Xu. Enhancing underwater image via color correction and Bi-interval contrast enhancement[J]. Signal Processing: Image Communication, 90 (2021): 116030.