一、个人基本信息

基本信息：范国栋，男，副教授，工学博士。近年来以第一/通讯作者发表SCI一区论文十余篇、国家专利十余项，获省优硕、省研究生创新成果奖等奖励，协助指导多名研究生获国家奖学金并继续攻读博士学位。主持省级纵向课题一项、企业横向课题一项、重点实验室开放课题一项。

研究方向：恶劣环境下的机器视觉、医学影像处理。

招生要求：计算机相关专业，熟练掌握任意一种编程语言，努力且具有团队协作精神。

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

个人主页：https://ccecfgd.github.io/

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.LLaVA-based Semantic Feature Modulation Diffusion Model for Underwater ImageEnhancement[J]. Information Fusion, 2025: 103566. (SCI一区TOP, 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一区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一区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一区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 3区, 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一区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一区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一区TOP,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一区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一区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一区TOP, 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二区, 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一区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一区TOP,CCF B, IF: 11.1)