计算机系

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个人信息
姓 名: 张琳 民 族: 汉 籍 贯: 陕西武功
职 称: 讲师 职 务: 政治面貌: 中共党员
部 门: 计算机系 电子邮箱: zhanglin92@xauat.edu.cn
所属学科: 计算机
硕士培养方向: 计算机科学与技术,电子信息
研究方向: 机器人SLAM,三维重建,图像处理
教育背景
2010.9-2014.7 湖南师范大学,计算机科学与技术,学士学位
2014.9-2017.7 重庆大学,计算机技术,硕士学位
2017.9-2023.3 西安交通大学,机械工程,博士学位
工作经历
2023.4-至今,西安建筑科技大学,计算机系
主讲课程
数字图像处理,系统设计工作室,信息技术基础,大学计算机基础
项目经历
2025年,陕西省自然科学基金,青年项目,基于轻量化神经网络的精度与效率均衡动态视觉SLAM方法研究,2025-01至2026-12,5万元,在研,主持
2025年,陕西省自然科学基金,青年项目,点云-深度学习协同的大型钢结构表面缺陷检测关键技术研究,2025-01至2026-12,5万元,在研,参与
学术成果
[1]Zhang Lin, Zhang Yingjie, Dai Bochao, Chen Bo, Li Yangfan, Welding defect detection based on local image enhancement[J]. IET image processing, 2019, 13(13): 2647-58. (SCI)
[2]Lin Zhang, Yingjie Zhang, Bo Chen, Improving the extracting precision of stripe center for structured light measurement [J]. optik-International Journal of Light and Electron Optics, 2019, vol 207, 163816. (SCI)
[3]Lin Zhang, Yingjie Zhang, Yangfan Li, Path Planning for Indoor Mobile Robot Based on Deep Learning [J]. optik-International Journal of Light and Electron Optics, October 2020, vol 219, 165096. (SCI)
[4]Zhang Lin, Zhang Yingjie, Li Yangfan, Mobile Robot Path Planning Based on Improved Localized Particle Swarm Optimization, IEEE sensors journal, pp. 1-11, 10.1109/JSEN.2020.3039275 (SCI)
[5]Zhang Lin, Zhang Yingjie, Zeng Manni, Li Yangfan, Robot navigation based on improved A* algorithm in dynamic environment, Assembly Automation, Jul 2021, vol 41, no. 4, pp. 419-430. (SCI)
[6]Zhang Lin, Zhang Yingjie, Improved feature point extraction method of ORB-SLAM2 dense map, Assembly Automation, July 2022, vol. 42, no. 4, pp. 552-566. (SCI)
[7]Lin Zhang, Xinyu Zhang, Ning An, Rui Gao, Yingjie Zhang, Object detection based on deep learning and B-spline level set in color images, IEEE Access, 2022, 10: 74841-74849. (SCI)
[8]Zhang Lin, Zhang Yingjie, Solving the Facility Layout Problem with Genetic Algorithm[C], International conference on industrial engineering and applications (ICIEA2019), 2019, April, pp. 164-168. (EI)
[9]Zhang L, Ji L, Ma Z. Target positioning method based on B-spline level set and GC Yolo-v3[J]. Cluster Computing, 2024, 27(3): 3575-3591.(SCI)
[10]Zhang L, An N, Ma Z. Research of hybrid path planning with improved A* and TEB in static and dynamic environments[J]. The Journal of Supercomputing, 2024, 80(12): 18009-18047.(SCI)
[11]Zhang L, Zhao X. Research on hybrid segmentation technologies for postprocessing the lung and trachea CT images[J]. AIP Advances, 2024, 14(9).(SCI)
[12]Zhang L, Li Y, Zhang Y. Trajectory planning of seven-degree-of-freedom redundant manipulator in narrow space[J]. AIP Advances, 2024, 14(12).(SCI)
[13]Zhang L, Zhang W, Xu Z. Automatic liver tumor segmentation based on improved Yolo-v5 and B-spline level set[J]. Cluster Computing, 2025, 28(3): 214.(SCI)
[14]张琳,杨铭,张英杰. 视觉SLAM方法综述[J]. 信息与控制,2025.(EI)
[15]Zhang L, Chen T, Yang M, et al. YSAM-SLAM: A real-time performance enhancement algorithm for visual SLAM in dynamic environments[J]. Information Sciences, 2025: 123029.(SCI)
[16]Lin Zhang, Xu An, Xi Han, Meiting Xin, Research on 3D Dense Reconstruction Algorithm for Visual SLAM[C]// 2026 the 11th international conference on image, vision and computing.(EI)
社会兼职
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