主要研究领域为高分遥感公安应用和视频图像智能处理与分析。近十年先后主持完成国家重点研发计划、国家高分重大专项等4项国家级科研项目，累计获批科研经费超1.6亿元；从公安实战需求出发，带领团队率先构建服务全警的一体化遥感实战平台，攻克多场景跨域融合、复杂环境下弱反射目标精准识别及“天空地”一体化监测预警等关键核心技术，获公安部科学技术一等奖等多项科技奖励；累计发表高水平学术论文70余篇，总被引超2000次，其中SCI收录30余篇，中科院Top期刊收录14篇，CCF推荐A类期刊和会议收录2篇（TMM、CVPR），3篇代表作入选ESI高被引论文。 代表性成果（*表示通讯作者）：
1. Jing Li, Hongtao Huo*, Chang Li, Renhua Wang, Qi Feng. "AttentionFGAN: Infrared and Visible Image Fusion Using Attention-Based Generative Adversarial Networks", IEEE Transactions on Multimedia, 23, pp. 1383-1396, 2021.（IF=9.4，中科院一区TOP，CCF A类期刊，入选ESI高被引论文） 2. Xiaowen Liu, Hongtao Huo*, Jing Li, Shan Pang, Bowen Zheng. "A Semantic-Driven Coupled Network for Infrared and Visible Image Fusion", Information Fusion, 108, pp. 102352, 2024.（IF=19.9，中科院一区TOP，入选ESI高被引论文） 3. Chenchen Jiang, Huazhong Ren, Xin Ye, Jinshun Zhu, Hui Zeng, Yang Nan, Min Sun, Xiang Ren, Hongtao Huo. "Object Detection from UAV Thermal Infrared Images and Videos Using YOLO Models", International Journal of Applied Earth Observation and Geoinformation, 112, pp. 102912, 2022.（IF=9.0，中科院一区TOP，入选ESI高被引论文） 4. Jing Li, Hongtao Huo*, Chang Li, Renhua Wang, Chenhong Sui, Zhao Liu. "Multigrained Attention Network for Infrared and Visible Image Fusion", IEEE Transactions on Instrumentation and Measurement, 70, pp. 1-12, 2021.（IF=7.1，中科院TOP） 5. Xin Yang, Hongtao Huo*, Chang Li, Xiaowen Liu, Wenxi Wang, Cheng Wang. "Semantic Perceptive Infrared and Visible Image Fusion Transformer", Pattern Recognition, 149, pp. 110223, 2024.（IF=8.7，中科院一区TOP） 6. Xiaowen Liu, Jing Li, Hongtao Huo*, Haozhe Cao, Renhua Wang, Xu Dong. "More Than Meets the Eye: A Unified Image Fusion Framework via Semantic-Pixel Entropy Trade-off for Zero-Shot Generalization", in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2026: 41510-41520. （CCF A类会议） 7. Xin Yang, Hongtao Huo*, Jing Li, Chang Li, Zhao Liu, Xun Chen. "DSG-Fusion: Infrared and Visible Image Fusion via Generative Adversarial Networks and Guided Filter", Expert Systems with Applications, 200, pp. 116905, 2022.（IF=8.9，中科院一区TOP） 8. Xiaowen Liu, Hongtao Huo*, Xin Yang, Jing Li. "A Three-Dimensional Feature-Based Fusion Strategy for Infrared and Visible Image Fusion", Pattern Recognition, 157, pp. 110885, 2025.（IF=8.7，中科院一区TOP） 9. Wenqing Liu, Hongtao Huo*, Luyan Ji, Yongchao Zhao, Xiaowen Liu, Jialei Xie. "CSPPNet: A Convolution and State-Space-Based Photovoltaic Panel Extraction Network Using Gaofen-2 High-Resolution Imagery", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, pp. 7644-7661, 2025.（IF=6.1，中科院TOP） 10. Chenchen Jiang, Huazhong Ren, Hong Yang, Hongtao Huo, Pengfei Zhu, Zhaoyuan Yao, Jing Li, Min Sun, Shihao Yang. "M2FNet: Multi-Modal Fusion Network for Object Detection from Visible and Thermal Infrared Images", International Journal of Applied Earth Observation and Geoinformation, 130, pp. 103918, 2024.（IF=9.0，中科院TOP） 11. Guofa Wang, Hongtao Huo*, Xiaowen Liu, Bowen Zheng, Qi Feng. “A Multi-Scale Coarse-to-Fine Alignment Network for Road Segmentation in High-Resolution Remote Sensing Imagery”, Engineering Applications of Artificial Intelligence, 175, pp. 114674, 2026.（IF=9.0，中科院一区TOP） 12.李志倩,霍宏涛*,刘晓文.基于注意力状态空间模型与多频特征增强的全色锐化方法[J].光学学报,2026,46(5):413-426. （EI，CSCD，中文领军期刊） 13.杨天宇,霍宏涛*,刘晓文,等.用于红外与可见光图像融合的信息交互线性Transformer网络[J].中国图象图形学报,2025,30(7):2499-2513.（CSCD） 14.杨天宇,霍宏涛*,郭宝峰,郑博文,刘晓文.用于红外与可见光图像融合的多层级Mamba网络[J].中国图象图形学报,2026,31(4):1184-1200.（CSCD） 15.王柏翔,霍宏涛*,郑博文,李志倩,等.层次聚类引导与全局上下文增强的全色锐化网络[J].中国图象图形学报,2026.（CSCD）
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