教授/博士，博士生导师。现任计算机科学与工程学院副院长（分管本科教学），计算机应用技术研究所所长。2005年毕业于广西师范大学，获工学硕士学位；2008年毕业于上海交通大学，获工学博士学位。同年进入北京农业信息技术研究中心工作，2016年调入广西师范大学，2019年3月至2020年3月在华盛顿州立大学访学。
主持完成国家自然科学基金课题2项，省部级及横向课题10多项；参与包括国家863计划、国家科技支撑计划、国家星火计划、国家农业科技成果转化资金等在内的国家级课题多项。发表SCI/EI论文50余篇，获国家发明专利10余项。先后获北京市“科技新星”、广西高等学校千名中青年骨干教师培育计划等人才项目资助。主持自治区一流课程《程序设计基础》。
电子邮件：lsl@gxnu.edu.cn
通信地址：广西桂林市育才路15号逸夫楼
主讲课程
本科生：软件工程专业导读、程序设计基础、软件开发实训
研究生：人工智能
研究领域
机器视觉及其应用（植物表型检测、基于视频的运动分析）；3D建模与可视化；
【我在寻找“有追求/主动性强/态度端正/肯学肯干”的学生，有Python/C++基础或各类大赛获奖证书更佳】
近年主要学术论文:
(1)Shenglian Lu, Wenkang Chen, Xin Zhang, Manoj Karkee. Canopy-Attention-YOLOv4-Based Immature/Mature Apple Fruit Detection on Dense-Foliage Tree Architectures for Early Crop Load Estimation. Computers and Electronics in Agriculture,2022(193):106696. (SCI 一区TOP，ESI高被引)
(2)Jiangchuan Bao, Guo Li, Haolan Mo, Tingting Qian, Ming Chen, Shenglian Lu*. Detection and Reconstruction of Passion Fruit Branches via CNN and Bidirectional Sector Search. Plant Phenomics, 2023, 5: 0088.(SCI 一区TOP)
(3)Shenglian Lu,Xiaoyu Liu,Zixuan He,Xin Zhang,Wenbo Liu,Manoj Karkee. Swin-Transformer-YOLOv5 for Real-Time Wine Grape Bunch Detection. Remote Sensing. 2022, 14(22), 5853.https://doi.org/10.3390/rs14225853 (SCI 二区TOP)
(4)Wenkang Chen，Shenglian Lu*, Binghao Liu，Ming Chen，Guo Li，Tingting Qian. CitrusYOLO: A Algorithm for Citrus Detection under Orchard Environment Based on YOLOv4. Multimedia Tools and Applications. 2022. doi: 10.1007/s11042-022-12687-5 (SCI)
(5)Xiaoyu Liu,Guo Li,Wenkang Chen,Binghao Liu,Ming Chen,Shenglian Lu*. Detection of dense citrus fruits by combining coordinated attention and cross-scale connection with weighted feature fusion. Applied Sciences. 2022, 12(13), 6600 (SCI)
(6)Shenglian Lu,Zhen Song,Wenkang Chen,Tingting Qian,Yingyu Zhang,Ming Chen，Guo Li. Counting Dense Leaves under Natural Environments via an Improved Deep-Learning-Based Object Detection Algorithm. Agriculture, 2021, (11):1003.(SCI)
(7)Yibin Lai, Shenglian Lu*, Tingting Qian, Ming Chen, Song Zhen and Li Guo. Segmentation of Plant Point Cloud based on Deep Learning Method. Computer-Aided Design & Applications, 2022, 19(6).
(8)Shuai Huang, Ming Chen∗, ShengLian Lu, ShouXin Chen, YongJian Zha. A novel algorithm: fitting a spatial arc to noisy point clouds with high accuracy and reproducibility. Measurement Science and Technology, 2021, 085004. https://doi.org/10.1088/1361-6501/abf867.(SCI)
(9) Wenkang Chen, Shenglian Lu*, Binghao Liu, Guo Li, Tingting Qian. Detecting Citrus in Orchard Environment by using Improved YOLOv4. Scientific Programming, 2020, Article ID 8859237.(SCI)
(10) Shenglian Lu, Guo Li, Ming Chen. Methods and Tools for Modeling 3D Plants with Detailed Features. Computer-Aided Design & Applications, 2020, 17(5):1034-1048.
(11)Tingting Qian, Xiuguo Zheng, Juan Yang, Yeying Xu, Yan Wang, Qiang Zhou, Shenglian Lu*, Xiaotao Ding*. Optimal Utilization of Light Energy in Semiclosed Greenhouse Using Three-Dimensional Cucumber Model. Scientific Programming, 2020, Article ID 8855063. doi: 10.1155/2020/8855063.(SCI)
(12) Shenglian Lu, Guo Li, Jian Wang. A Novel Method for Extracting Skeleton of Fruit Tree from 3D Point Clouds. International Journal of Modeling, Simulation, and Scientific Computing. 2020,11(06), 2050051.
(13)ZhenjunTang, Hanyun Zhang, Shenglian Lu,Heng Yao, Xianquan Zhang. EURASIP Journal on Image and Video Processing. 2020:21.(SCI)
(14)Yibin Lai, Tingting Qian, Guo Li, Shenglian Lu*. Reconstruction and analysis ofcucumber structural traits with Multi-View Stereo. 2020 ASABE AnnualInternational Meeting, 2020.7.12. doi: 10.13031/aim.202001365
(15) Tingting Qian, Xiuguo Zheng, Xinyu Guo, Weiliang Wen, JuanYang*, Shenglian Lu*. Influence of temperature and light gradient on leaf arrangement and geometry in cucumber canopies: structural phenotyping analysis and modelling. Information Processing in Agriculture. 2019, 6(2):224-232.