一、个人基本信息

基本信息：范国栋，男，2025年获工学博士学位，山东工商学院直聘副教授，硕士研究生导师。近年来以第一/通讯作者发表SCI一区期刊论文十余篇、国家专利十余项，获省优硕、省研究生创新成果奖等奖励。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

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

二、近期代表性论文

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

2.       FanG, Zhou S,Li J et al. LLaVA-based Semantic Feature Modulation Diffusion Model forUnderwater Image Enhancement[J]. Information Fusion, 2025, 103566.(中科院一区TOP, IF: 15.5)

3.       FanG, Hu S,Zhou J et al. Color and Texture Count Alike: An Underwater Image EnhancementMethod via Dual-Attention Fusion[J]. Information Fusion, 2025, 103780.(中科院一区TOP, IF: 15.5)

4.       Zhou S,Xu C, Fan G et al. SPRmamba: A mamba-based saliency proportionreconciliatory network with squeezed windows for remote sensing changedetection[J]. IEEE Transactions on Geoscience and Remote Sensing,2025, 63: 1-16. (中科院一区TOP, CCF B, IF: 8.6, 通信作者)

5.       Dong W,Fan G, Chen GY et al. SAFAformer: Scale-Aware Frequency-AdaptiveGuidance for Nighttime Flare Removal[J]. IEEE Transactions on Circuitsand Systems for Video Technology, 2025, DOI: 10.1109/TCSVT.2025.3595933.(中科院一区TOP, CCF B, IF: 11.1, 通信作者)

6.       FanG, Zhou J,Cheng Z et al. Deep Dive into Clarity: Leveraging Signal-to-Noise RatioAwareness and Knowledge Distillation for Underwater Image Enhancement[J]. ExpertSystems with Applications, 2025, 269, 126317. (中科院一区TOP,CCF C, IF: 7.5)

7.       FanG, Yao Z,Gan, M. Illumination-Aware and Structure-Guided Transformer for Low-Light ImageEnhancement[J]. Computer Vision and Image Understanding, 2025,252: 104276. (中科院3区,CCF B, IF: 3.5)

8.       ChengZ, Fan G, Gan M et al. FDCE-Net: Underwater Image Enhancement withEmbedding Frequency and Dual Color Encoder[J]. IEEE Transactions onCircuits and Systems for Video Technology, 2025, 35(2): 1728-1744. (中科院一区TOP,CCF B, IF: 11.1, 通信作者，ESI高被引)

9.       ChenGY, Dong W, Fan G et al. LPFSformer: Location Prior Guided Frequency andSpatial Interactive Learning for Nighttime Flare Removal[J]. IEEETransactions on Circuits and Systems for Video Technology, 2025, 35(4):3706-3718. (中科院一区TOP, CCF B, IF: 11.1, 通信作者)

10.    FanG, Gan M,Fan B et al. Multiscale Cross-connected Dehazing Network with Scene Depth Fusion[J].IEEE Transactions on Neural Networks and Learning Systems, 2024,35(2): 1598-1612. (中科院一区TOP, CCF B, IF: 8.9)

11.    Yao Z, FanG, Gan M et al. Spatial-frequency Dual-Domain Feature Fusion Network forLow-Light Remote Sensing Image Enhancement[J]. IEEE Transactions onGeoscience and Remote Sensing, 2024, 62: 1-16. (中科院一区TOP,CCF B, IF: 8.6, 通信作者)

12.    Yao Z,Su J, Fan G, Gan M et al. GACA: A Gradient-Aware andContrastive-Adaptive Learning Framework for Low-Light Image Enhancement[J]. IEEETransactions on Instrumentation & Measurement, 2024, 73: 1-14. (中科院二区,IF: 5.9, 通信作者)

13.    Hu S, FanG, Gan M et al. Hybrid Network via Key Feature Fusion for ImageRestoration[J]. Engineering Applications of Artificial Intelligence,2024, 137: 109236. (中科院一区TOP, IF: 8.0, 通信作者)

14.    FanG, 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. (中科院一区TOP, CCF B, IF: 11.1)