2017年毕业于天津大学，在孙济洲和冯伟老师的指导下，获得博士学位。同年，入职中国民航大学计算机科学与技术学院，现任讲师、硕士生导师。主要研究方向：计算机视觉、机器学习，以及视觉在民航领域的相关应用。

近年来，以第一作者或通信作者发表了10余篇SCI论文，其中1篇被CCF一区期刊《Chinese Journal of Aeronautics》录用，4篇在CCF二区期刊《Neurocomputing》上发表，2篇在CCF三区期刊《Signal Processing Letters》上发表；以第一作者或通信作者发表7篇中文核心期刊论文，其中3篇在《中国图象图形学报》上发表。主持并完成1项天津市自然基金青年项目、1项天津市教委一般项目、1项湖北省重点实验室项目、1项中央高校一般项目和2项横向项目，作为主要参与人参与1项重点研发项目（在研）。结合中国民航大学的行业特色，确定了“物体级别变化检测”和“航空发动机损伤检测”两个具体的研究方向。

在物体级别变化检测方面，获批了2019年天津市教委项目《基于卷积神经网络的物体级别变化检测》和2020年天津市科委项目《弱监督的物体级别变化检测方法研究》，并顺利结项。研究了高效的变化检测网络和弱监督的变化检测方法。以第一作者发表了4篇SCI论文，以第一发明人申请了2项发明专利。在该方向上培养了4名研究生，其中1名研究生毕业后继续攻读西北大学博士研究生，3名研究生在读。

在航空发动机损伤检测方面，和厦门航空公司先后签订了《厦航外聘中国民航大学专家团队技术服务》和《发动机孔探图像识别方法研究》两个横向课题，项目均已结项。积累了4999张航空发动机损伤图像，得到有效标注图像2605张。研究了数据扩展方法和航空发动机损伤检测方法等。以通信作者发表了2篇中文核心论文，另有2篇第一作者论文分别被《中国图象图形学报》和《Chinese Journal of Aeronautics》录用，以第一发明人申请了1项发明专利。在该方向上培养了4名研究生，其中3名研究生已毕业，1名在读。相关成果作为参展项目参加了2022年第六届世界智能大会。

联系方式：Email: rhuang@cauc.edu.cn

Publications:

Journal & Conference papers:

2021-2022

·         "Selecting change image for efficient change detection", Rui Huang, Ruofei Wang, Yuxiang Zhang, Yan Xing, Wei Fan and KaiLeung Yung, IET Signal Processing, 2022. [PDF] [Code]

·         "检测器和分类器级联的飞机发动机损伤检测", 黄睿,段博坤,陈望,叶清池,彭洪健,马孝汶,樊玮, 中国图象图形学报, 2021. [PDF]

·         "Change detection with cross enhancement of high- and low-level change-related features", Rui Huang, Yan Xing, Mo Zhou, Ruofei Wang, IET Image Processing, 2021. [PDF]

·         "Prior-guided GAN-based interactive airplane engine damage image augmentation method", Rui Huang, Bokun Duan, Yuxiang Zhang, Wei Fan, Chinese Journal of Aeronautics, 2021. [PDF]

·         "Change detection with various combinations of fluid pyramid integration networks", Rui Huang, Mo Zhou, Yan Xing, Yaobin Zou, Wei Fan, Neurocomputing, 2021. [PDF]

·         "由粗到精的多尺度散焦模糊检测", 衡红军,叶何斌,周末,黄睿, 中国图象图形学报, 2021. [PDF]

·         "航空发动机损伤图像的二分类到多分类递进式检测网络", 樊玮, 李晨炫, 邢艳, 黄睿, 彭洪健. 计算机应用, 2021. [PDF]

2020

·         "Change detection with absolute difference of multiscale deep features", RuiHuang, MoZhou, QiangZhao, YaobinZou, Neurocomputing, 2020. [PDF]

·         "Defocus blur detection by fusing multiscale deep features with Conv-LSTM", Hongjun Heng, Hebing Ye, RuiHuang*, IEEE ACCESS, 2020. [PDF]

·         "卷积神经网络低层特征辅助的图像实例分割方法", 樊玮，刘挺，黄睿，郭青，张宝，张宁, 计算机科学，2020.

·         "基于风格迁移的交互式航空发动机孔探图像扩展方法", 樊玮, 段博坤, 黄睿, 刘挺, 张宁
算机应用，2020.

·         "多尺度深度特征融合的变化检测", 樊玮,周末,黄睿, 中国图象图形学报, 2020. [PDF]

·         "Triple-complementary Network for RGB-D Salient Object Detection", RuiHuang, Yan Xing, Yaobin Zou, IEEE Signal Processing Letters (SPL), 2020. [PDF]

·         "Multi-scale deep features fusion based change detection", Fan Wei, Zhou Mo, and Rui Huang*, Journal of Image and Graphics, 2020. [PDF]

2019

·         "Exemplar-based image saliency and co-saliency detection", RuiHuang, WeiFeng, Zezheng Wang, Yan Xing, Yaobin Zou, Neurocomputing, 2019. [PDF]

·         "Learning to grade deterioration for ancient murals", Kun Qian, Pengyu Zhang, Rui Huang*, Wei Feng, Jizhou Sun, Journal of Ambient Intelligence and Humanized Computing, 2019. [PDF]

·         "Image Blur Classification and Unintentional Blur Removal", Rui Huang, Mingyuan Fan, Yan Xing, Yaobin Zou, IEEE ACCESS, 2019. [PDF] [UBICD dataset]

·         "RGB-D Salient Object Detection by a CNN With Multiple Layers Fusion", Rui Huang, Yan Xing, Zezheng Wang, IEEE Signal Processing Letters (SPL), 2019. [PDF]

·         "Predicting Scientific Impact via Heterogeneous Academic Network Embedding", Chunjing Xiao, Jianing Han, Wei Fan, Senzhang Wang, Rui Huang and Yuxiang Zhang, (PRICAI ), 2019. [PDF]

2018

·         "Multiscale Blur Detection by Learning Discriminative Deep Features", Rui Huang, Wei Feng*, Mingyuan Fan, Liang Wan, Jizhou Sun，Neurocomputing, 2018. [PDF] [Code 提取码：6qby ]

·         "Learning Dynamic Siamese Network for Visual Object Tracking", Qing Guo, Wei Feng*, Ce Zhou, Rui Huang, Liang Wan, Song Wang, IEEE International Conference on Computer Vision (ICCV), 2018. [PDF] [Project] [Code]

Before 2017

·         "Color Feature Reinforcement for Cosaliency Detection Without Single Saliency Residuals", Rui Huang, Wei Feng*, Jizhou Sun, IEEE Signal Processing Letters (SPL), 2017. [PDF]

·         "Learning multi-path CNN for mural deterioration detection", Rui Huang, Wei Feng*, Mingyuan Fan, Qing Guo, Jizhou Sun, Journal of Ambient Intelligence and Humanized Computing, 2017. [PDF]

·         "Learning to Detect Fine-Grained Change under Variant Imaging Conditions", Rui Huang, Wei Feng*, Zezheng Wang, Minyuan Fan, Liang Wan, Jizhou Sun, International Conference on Computer Vision Workshop on E-Heritage, 2017. [PDF]

·         "Exemplar based image saliency object detection", Zezheng Wang, Rui Huang*, Liang Wan, Wei Feng, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017. [PDF]

·         "基于图像分析的室外文物病害演变监测方法与应用实例", 岳琪峰, 黄睿, 冯伟, 张龙, 丛一蓬, 孙济洲, 敦煌研究, 2017.

·         "一种面向文物本体微小变化监测的三点重定位方法", 陈冬冬, 黄睿, 冯伟, 王小伟, 柴勃隆, 丁淑君, 孙济洲, 敦煌研究, 2017.

·         "Saliency and co-saliency detection by low-rank multiscale fusion", Rui Huang, Wei Feng*, Jizhou Sun, IEEE International Conference on Multimedia & Expo (ICME), 2015. [PDF]