男，山东济宁人，讲师，毕业于山东科技大学软件工程专业，获工学博士。主要研究方向为机器学习、计算机视觉。
科研方面，先后在《Neurocomputing》《Applied Intelligence》《Multimedia Tools and Applications》等国内外期刊发表学术论文 4 篇；主持校级博士科研启动基金项目：面向复杂场景小目标检测关键技术研究，经费 10 万元。
代表性成果：
[1] Wang W, Li Y, Zhang H. Multi‑scale feature fusion network for small object detection [J]. Neurocomputing, 2024, 562:126872.
[2] Wang W, Li Y. A lightweight attention network for real‑time image semantic segmentation [J]. Applied Intelligence, 2025, 55 (3):2415‑2428.
[3] Wang W, Zhang H, Li Y. Occluded object detection based on enhanced feature pyramid network [J]. Multimedia Tools and Applications, 2024, 83 (17): 51241‑51260.
[4] Wang W, Li Y. Improved YOLO algorithm for complex scene target detection [J]. Journal of Electronic Imaging, 2023, 32 (4): 043021.
