一、个人基本信息

范国栋，男，工学博士，山东工商学院计算机科学与技术学院副教授，硕士生导师。近年来以第一/通讯作者发表中科院SCI一区论文十余篇、国家专利十余项，协助指导多名研究生获国家奖学金并继续攻读博士学位。长期担任TPAMI, TIP, AAAI, TNNLS, TMM, TGRS, TCSVT等期刊审稿人。

研究方向：恶劣环境下的机器视觉、医学影像处理。

招生要求：计算机、数学、自动化相关专业本科生，抗压，熟练掌握任意一种编程语言。

电子邮箱：fanguodong@sdtbu.edu.cn,fgd96@outlook.com

欢迎有志向继续攻读博士学位的计算机学硕、专硕加入课题组。

二、近期代表性论文

[1]Fan G, Gan M, Su JN et al.IniRetinex: Rethinking Retinex-type Low-Light Image Enhancer via InitializationPerspective[C]. AAAI Conference on Artificial Intelligence. 2025, 39(3):2834-2842 (CCF A)

[2]Fan G, Zhou S, Li J et al. Fan G,Zhou S, Hua Z, et al. LLaVA-based Semantic Feature Modulation Diffusion Modelfor Underwater Image Enhancement[J]. Information Fusion. 2025: 103566 (SCI Q1TOP, IF: 15.5)

[3]Zhou S, Xu C, Fan G et al.SigNoma: Saliency Proportion Reconciliatory State Space Model with SqueezedWindows for Remote Sensing Change Detection[J]. IEEE Transactions on Geoscienceand Remote Sensing. 2025, 63: 1-16 (SCI Q1 TOP, CCF B, IF: 8.6, 通信作者)

[4]Dong W, Fan G, Chen GY et al.SAFAformer: Scale-Aware Frequency-Adaptive Guidance for Nighttime FlareRemoval[J]. IEEE Transactions on Circuits and Systems for Video Technology,2025, DOI: 10.1109/TCSVT.2025.3595933 (SCI Q1 TOP, CCF B, IF: 11.1, 通信作者)

[5]Fan G, Zhou J, Cheng Z et al.Deep Dive into Clarity: Leveraging Signal-to-Noise Ratio Awareness andKnowledge Distillation for Underwater Image Enhancement[J]. Expert Systems withApplications. 2025, 269: 126317 (SCI Q1 TOP, CCF C, IF: 7.5)

[6]Fan G，Yao Z, Gan, M.Illumination-Aware and Structure-Guided Transformer for Low-Light ImageEnhancement[J]. Computer Vision and Image Understanding. 2025, 252: 104276.(SCI Q3, CCF B, IF: 3.5)

[7]Cheng Z, Fan G, Gan M et al.FDCE-Net: Underwater Image Enhancement with Embedding Frequency and Dual ColorEncoder[J]. IEEE Transactions on Circuits and Systems for Video Technology.2025, 35(2): 1728-1744 (SCI Q1 TOP, CCF B, IF: 11.1, 通信作者)

[8]Chen GY, Dong W, Fan G et al.LPFSformer: Location Prior Guided Frequency and Spatial Interactive Learningfor Nighttime Flare Removal[J]. IEEE Transactions on Circuits and Systems forVideo Technology. 2025, 35(4): 3706-3718 (SCI Q1 TOP，CCF B, IF: 11.1, 通信作者)

[9]Zhang X, Xu C, Fan G et al.FSCMF: A Dual-Branch Frequency-Spatial Joint Perception Cross-Modality FusionNetwork for Visible and Infrared Image Fusion[J]. Neurocomputing. 2025, 641:130376 (SCI Q2, IF: 6.5, 通信作者)

[10]Fan G, Gan M, Fan B, et al.Multiscale cross-connected dehazing network with scene depth fusion[J]. IEEETransactions on Neural Networks and Learning Systems. 2024, 35(2):1598-1612.(SCI Q1 TOP, CCF B, IF: 8.9)

[11]Su JN, Fan G, Chen GY et al.Revealing the Dark Side of Non-Local Attention in Single ImageSuper-Resolution[J]. IEEE Transactions on Pattern Analysis and MachineIntelligence. 2024, 46(12): 11476-11490. (SCI Q1 TOP, CCF A, IF: 18.6)

[12]Yao Z, Fan G, Gan M et al.Spatial-frequency Dual-Domain Feature Fusion Network for Low-Light RemoteSensing Image Enhancement[J]. IEEE Transactions on Geoscience and RemoteSensing, 2024, 62: 1-16. (SCI Q1, CCF B, IF: 8.6, 通信作者)

[13]Yao Z, Su J, Fan G, Gan M et al.GACA: A Gradient-Aware and Contrastive-Adaptive Learning Framework forLow-Light Image Enhancement[J]. IEEE Transactions on Instrumentation &Measurement. 2024, 73: 1-14 (SCI Q2, IF: 5.9, 通信作者)

[14]Hu S, Fan G, Gan M et al. HybridNetwork via Key Feature Fusion for Image Restoration[J]. EngineeringApplications of Artificial Intelligence. 2024, 137: 109236. (SCI Q1 TOP, IF:8.0, 通信作者)

[15]Fan G, Fan B, Gan M, et al.Multiscale low-light image enhancement network with illumination constraint[J].IEEE Transactions on Circuits and Systems for Video Technology. 2022, 32(11):7403-7417. (SCI Q1 TOP, CCF B, IF: 11.1)