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王李进
教授
计算机与信息学院
行政职务:
技术职称:
教授
最后学位:
博士学位
通讯地址:
福建省福州市仓山区上下店路15 福建农林大学计算机与信息学院
电    话:
电子邮箱:
lijinwang@fafu.edu.cn
办公地点:
福建农林大学宝铃楼203A
邮    编:
350002
  • 个人简介
  • 研究领域
  • 开授课程
  • 科研项目
  • 论文著作
  • 科技成果

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  • 王李进,博士,福建省计算机学会常务理事,福建省人工智能学会常务理事。2008年毕业于北京林业大学信息学院森林经理学专业,获博士学位。20129月至20135月前往山东大学机器学习与数据挖掘实验室访学;20135月至20174月进入山东大学计算机科学与技术博士后流动站工作;201512月—201612月前往美国韦恩州立大学计算机科学与技术系访学。研究兴趣包括进化算法及其应用、机器学习应用、农林领域目标检测等,在《Swarm and Evolutionary Computation》《Applied Soft Computing》《Frontiers of Computer Science》《软件学报》《计算机研究与发展》等国内外学术刊物公开发表多篇论文。


  • 研究领域

    进化算法及其应用

    机器学习应用

    农林领域目标检测

    开授课程

    本科课程:《软件工程导论》

    研究生课程:《计算智能及其应用》

    科研项目

    福建省自然科学基金项目,基于图像的番茄叶片病害智能化检测与可视化研究(2021J01127),2021.11-2024.10

    福建省自然科学基金项目,机器学习辅助的布谷鸟搜索算法研究(2016J01280),2016.4-2019.3

    论文著作

    Q. Zhou, H.C. Li, Z.L. Cai, Y.W. Zhong, F.L. Zhong, X.Y. Lin, L.J. Wang. YOLO-ACE: enhancing YOLO with augmented contextual efficiency for precision cotton weed detection. Sensors, 2025,25(5),1635.

    L.Y. Wang, L.H. Hong, H.X. Fu, Z.L. Cai, Y.W. Zhong, L.J. Wang*. Adaptive distance-based multi-objective particle swarm optimization algo rithm with simple position update. Swarm and Evolutionary Computation, 2025,94,101890.

    Z. Wang, Y.T. Su, F. Kang, L.J. Wang*, Y.H. Lin, Q.S. Wu, H.C. Li, Z.L. Cai. PC-YOLO11s: A lightweight and effective feature extraction method for small target image detection. Sensors, 2025,25(2),348.

    J.S. Chen, H.X. Fu, C.H. Lin, X. Liu, L.J. Wang*, Y.H. Lin. YOLOPears: a novel benchmark of YOLO objectors for multi-class pear surface defect detection in quality grading systems. Frontiers in Plant Science, 2025,16.

    戴心杰,郑家杰,袁远飞,王李进*,吴清寿.基于自监督与自适应感知关系网络的小样本图像分类.南京师范大学学报(工程技术版), 2024,24(04):68-78.

    Q. Zhou, Z. Wang, Y.W. Zhong, F.L. Zhong, L.J. Wang*. Efficient Optimized YOLOv8 model with extended vision. Sensors, 2024,24(20),6506.

    王洲,周旗,王李进*,吴清寿.基于混合注意力机制的茶芽检测.南京信息工程大学学报. https://doi.org/10.13878/j.cnki.jnuist.20240729001.

    M.M. Liang, L.Y. Wang, L.J. Wang*, Y.W. Zhong. A hypervolume-based cuckoo search algorithm with enhanced diversity and adaptive scaling factor. Applied Soft Computing, 2024,151,111073.

    Y.F. Yuan, L.Y. Wang, Q. Zhou, W. Xiao,L.J. Wang*,Y.W. Zhong. Cuckoo search algorithm with normal distribution and its application in lychee image segmentation. ICSAI2023, 2023:1-7.

    Y. Deng, Y.W. Zhong,L.J. Wang*. An enhanced harmony search integrated with adaptive mutation strategy. Int. J. Computing Science and Mathematics, 2022, 16(2):136-148.

    梁毛毛,肖文,王李进*,钟一文. 带全局-局部最优步长比例因子的布谷鸟搜索算法. 南京师范大学学报(工程技术版), 2022, 22(2):56-72.

    M.M. Liang, Y. Deng, W. Xiao,L.J. Wang*,Y.W. Zhong. An enhanced harmony search based on quantum mechanism. ICGEC2022, 2022, 833:47-59.

    W. Xiao, M.M. Liang,L.J. Wang*,Y.W. Zhong. Survey on initialization methods of cuckoo search algorithm. ICGEC2022, 2022, 833:629-640.

    Q.S. Wu, R.W. Chen,L.J. Wang*, et al. A label propagation algorithm for community detection on high-mixed networks. Concurrency and Computation: Practice and Experience, 2021,33(9),e6141.

    L.J. Wang, R.Y. Cai, M. Lin, Y.W. Zhong. Enhanced list-based simulated annealing algorithm for large-scale traveling salesman problem. IEEE Access, 2019, 7: 144366-144380.

    L.J. Wang, Y.H. Zhuang, Z.N. Chen, Y.W. Zhong. An enhanced cuckoo search using dimension selection. Int. J. Innovative Computing and Applications, 2019, 10(1): 3-11.

    W.T. Zhao, L.J. Wang, Y.L. Yin, et al. Sequential quadratic programming enhanced backtracking search algorithm. Frontiers of Computer Science, 2018, 12(2): 316-330.

    林要华,王李进*.精英方向学习的单纯形交叉布谷鸟搜索算法.郑州大学学报(), 2017,38(6):33-38.

    Y.W. Zhong, J. Lin, L.J. Wang, Hui Zhang. Hybrid Discrete Artificial Bee Colony Algorithm with Threshold Acceptance Criterion for Traveling Salesman Problem. Information Sciences, 2017,421:70-84.

    L.J. Wang, Y.W. Zhong, Y.L. Yin. Nearest neighbor cuckoo search algorithm with probabilistic mutation. Applied Soft Computing, 2016,49:498-509.

    Y.H. Lin, C.P. Zhang,L.J. Wang*, Y.W. Zhong. Control scaling factor of cuckoo search algorithm using learning automata. International Journal of Computing Science and Mathematics, 2016,7(5):476-484.

    W.T. Zhao, L.J. Wang, Y.L. Yin, et al. A multi-object framework for brain MRI threshold segmentation. ITME2016, 2016:20-24.

    W.T. Zhao, L.J. Wang, Y.L. Yin, et al. Best guided backtracking search algorithm for numerical optimization problems, in the 9th International Conference on Knowledge Science, Engineering and Management, 2016:414-425.

    B.Q. Wang, L.J. Wang, Y.L. Yin, et al. An improved neural network with random weights using backtracking search algorithm. Neural Processing Letters, 2016,44(1):37-52.

    L.J. Wang, Y.L. Yin, Y.W. Zhong. Cuckoo search with varied scaling factor. Frontiers of Computer Science, 2015,9(4):623-635.

    L.J. Wang, Y.W. Zhong. Cuckoo search algorithm with Chaotic Maps. Mathematical Problems in Engineering, 2015, Volume 2015, Article ID 769245.

    L.J. Wang, Y.W. Zhong, Y.L. Yin, et al. A hybrid backtracking search optimization algorithm with differential evolution. Mathematical Problems in Engineering, 2015, Volume 2015, Article ID 769245.

    L.J. Wang, Y.W. Zhong, Y.L. Yin. A hybrid cooperative cuckoo search algorithm with particle swarm optimisation. International Journal of Computing Science and Mathematics, 2015, 6(1): 18-29.

    王李进,钟一文,尹义龙.带外部存档的正交交叉布谷鸟搜索算法.计算机研究与发展, 2015,52(11):2496-2507.

    L.J. Wang, Y.W. Zhong. One-position inheritance based cuckoo search algorithm. International Journal of Computing Science and Mathematics, 2015,6(6):546-554.

    尹雨山,王李进*,尹义龙,.回溯搜索优化算法辅助的多阈值图像分割.智能系统学报, 2015,10(1):68-74.

    W.T. Zhao, L.J. Wang, Y.L. Yin, et al. An Improved Backtracking Search Algorithm for Constrained Optimization Problems, in the 7th International Conference on Knowledge Science, Engineering and Management, 2014:222-233.

    王李进,尹义龙,钟一文.逐维改进的布谷鸟搜索算法.软件学报, 2013,24(11):2687-2698.

    科技成果