简介：王凯光，博士，讲师，硕士研究生导师，长期从事最优化理论与方法、路径规划、工程优化、智能计算、进化计算、智能优化算法、元启发式算法、神经网络与机器学习等领域的研究，参与多项基金项目，在国内外期刊发表多篇研究论文。同时担任Information sciences、Engineering Applications of Artificial Intelligent、Computer Methods in Applied Mechanics and Engineering 等期刊审稿工作。

招生信息：欢迎勤奋好学、数学理论功底扎实、编程能力突出，对算法优化、智能计算、进化计算及其应用感兴趣的硕士生与本科生与我联系与我交流联系。邮箱：kaiguangwang@nxu.edu.cn。

1. Kaiguang Wang, Min Guo, Cai Dai, Zhiqiang Li. Information-decision searching algorithm: Theory and applications for solving engineering optimization problems, Information Sciences, 2022, 607(8): 1465-1531. (中科院一区(Top)，JCR一区，影响因子IF 8.233)

2. Kaiguang Wang, Min Guo, Cai Dai, Zhiqiang Li. A novel heuristic algorithm for solving engineering optimization and real-world problems: People identity attributes-based information-learning search optimization, Computer Methods in Applied Mechanics and Engineering, 2023, 416(11): 116307. (中科院一区(Top)，JCR一区，影响因子IF 7.2)

3. Kaiguang Wang, Min Guo, Cai Dai, Zhiqiang Li, Chengwei Wu, Jiahang Li. An effective metaheuristic technology of people duality psychological tendency and feedback mechanism-based Inherited Optimization Algorithm for solving engineering applications, Expert Systems With Applications, 2024, 244(6): 122732. (中科院一区(Top)，JCR一区，影响因子IF 8.5)

4. Chengwei Wu, Min Guo, Miao Ma, Kaiguang Wang. Multi-OCDTNet: a novel multi-scale object context

5. dilated transformer network for retinal blood vessel segmentation[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2023, 37(11): 2357009.（中科院四区，IF=1.5）

6. Chengwei Wu, Min Guo, Miao Ma, KaiguangWang. Diverter transformer-based multi-encoder-multi-decoder network model for medical retinal blood vessel image segmentation[J]. Biomedical Signal Processing and Control, 2024, 93(7):106132.（中科院二区，IF=5.1）

7. Chengwei Wu, Min Guo, Miao Ma, Kaiguang Wang. TLTNet: a novel transscale cascade layered transformer network for enhanced retinal blood vessel segmentation[J]. Computers in Biology and Medicine,2024,178(8):108773. (中科院二区Top 期刊，IF=7.7)