陈壹林，博士，讲师，硕士研究生导师，中国计算机学会会员、中国图象图形学会会员、中国工业与应用数学学会会员。2020年12月毕业于武汉大学计算机应用技术专业，获得工学博士学位。现就职于武汉工程大学计算机科学与工程学院、人工智能学院智能科学与技术教研室。主要从事人工智能、图形图像处理、智能优化、点云处理、三维重建等领域的研究。在国际学术期刊和会议上发表SCI论文10余篇，其中包括PR、ASOC、EAAI等国际知名期刊。作为主要研究人员参与国家级科研项目2项，参与横向项目若干。担任TPAMI、PR、ICME等多个国际一流期刊会议的审稿人。

学术论文

[1] Yilin Chen, Fazhi He*, Yiqi Wu, Neng Hou, A local start search algorithm to compute exact Hausdorff Distance for arbitrary point sets, Pattern Recognition, 2017, 67(2017): 139-148. ( 中科院1区，CCF推荐B类期刊，SCI收录)

[2] Yilin Chen, Fazhi He*, Haoran Li, Dejun Zhang, Yiqi Wu, A full migration BBO algorithm with enhanced population quality bounds for multimodal biomedical image registration[J]. Applied Soft Computing, 2020: 106335.( 中科院1区，ESI计算机学科源刊，SCI收录)

[3] Yilin Chen, Fazhi He*, Xiantao Zeng, Haoran Li, Yaqian Liang, The explosion operation of fireworks algorithm boosts the coral reef optimization for multimodal medical image registration [J]. Engineering Applications of Artificial Intelligence,2021, 102(5):104252. (中科院2区，CCF推荐期刊，SCI收录)   

[4]Haoran Li, Fazhi He*, Yilin Chen. Learning dynamic simultaneous clustering and classification via automatic differential evolution and firework algorithm[J]. Applied Soft Computing, 2020, 96: 106593. (中科院1区，SCI收录)   

[5]Haoran Li, Fazhi He*, Yilin Chen, et al. Multi-objective self-organizing optimization for constrained sparse array synthesis[J]. Swarm and Evolutionary Computation, 2020, 58: 100743. (中科院1区，SCI收录)   

[6] Haoran Li, Fazhi He*, Yilin Chen, et al. MLFS-CCDE: multi-objective large-scale feature selection by cooperative coevolutionary differential evolution[J]. Memetic Computing, 2021: 1-18.(中科院3区，SCI收录)

[7] JianZhang, FazhiHe*, YilinChen. A new haze removal approach for sky/river alike scenes based on external and internal clues[J]. Multimedia Tools and Applications, 2020, 79(3): 2085-2107. (中科院4区，CCF推荐期刊，SCI收录)   

[8] 鄢小虎, 何发智*, 陈壹林. 一种基于从众和声粒子群算法的并行软硬件划分方法[J]. 中国科学: 信息科学, 2016, 46: 1321-1338. (CSCD收录，CCF推荐A类中文期刊)

主持或参与的主要项目

[1]支持特征模型的产品数据交换方法与关键技术，国家自然科学基金，参与

[2] 协同设计中敏感特征信息的处理方法与关键技术，国家自然科学基金，参与

联系方式：yilinchen@wit.edu.cn