个人介绍：方厚章，男，工学博士，副教授，硕士生导师。IEEE 会员，中国计算机学会会员。2014年毕业于华中科技大学人工智能与自动化学院多谱信息智能处理技术全国重点实验室（原图像识别与人工智能研究所），获工学博士学位，博士生导师为张天序教授和颜露新教授。2014-2017年在西安电子科技大学雷达信号处理国家级重点实验室从事科研与教学工作。2018年至今在西安电子科技大学计算机科学与技术学院从事科研与教学工作。现从事计算机视觉、智能图像分析与理解、系统软件开发等方面的研究工作。

科学研究：作为项目负责人先后主持了国家自然科学基金、国家级预研项目、横向项目、陕西省自然科学基金、国家级重点实验室开放基金等国家与省部级项目，涉及图像处理与分析、计算机视觉、机器视觉等方面，并参与国家自然科学基金、企业合作研发项目和国家有关部门基础预研等多项纵向和横向项目。开展的项目与头部研究所和企业合作研究与开发，与实际应用场景结合的为主，注重解决实际场景的难点问题。

在国内外学术期刊及国际学术会议发表相关研究论文40余篇，并担任多个国际学术期刊的审稿人。申请发明专利6项，授权3项。

硕士招生：具体招生意向和资助信息请点击主页“科学研究”->“研究领域”（点击）。

2025年拟招收软件工程学硕、计算机科学与技术学硕和电子信息专硕的学生2-3名，欢迎本科专业为计算机科学与技术、软件工程、人工智能等相关专业的优秀本科生申请保研和考研。有意报考的同学请尽早发送个人简历和辅助支撑材料等到我的邮箱houzhangfang(at)xidian.edu.cn（请将（at）换成@）。

学生重要获奖和荣誉：

(1) 指导的研究生夏铭江和王啸林同时获得2021年教育部研究生国家奖学金（公示网站）。

(2) 指导的研究生丁兰获得2022年教育部研究生国家奖学金（公示网站）。

(3) 指导的研究生夏铭江获得西安电子科技大学2022届校优秀硕士学位论文（计科院本届软件工程专业毕业生唯一获得者，公示网站）。

(4) 指导的研究生廖梓凯获得2023年教育部研究生国家奖学金（公示网站）。廖梓凯获得2022年全国大学生英语竞赛（NECCS）特等奖。

(5) 指导研究生王啸林、吴辰星、李雪婷、陈秋环获得2023年“火花燎原”技术挑战赛目标识别赛三等奖（JWKJW，省部级）。

部分学术论文研究成果如下:

1. 计算机视觉与深度学习相关学术论文：

[20]Houzhang Fang, Mingajiang Xia, Xuhua Wang, Yi Chang, Luxin Yan, Resolution-preserving Residual Image Prediction Network for Efficient Infrared Small UAV Target Detection, IEEE Transactions on Geoscience and Remote Sensing, in preparation, 2023.

[19]Houzhang Fang, Chenxing Wu, Xiaolin Wang, Fan Zhou, Yi Chang, and Luxin Yan, Online Infrared UAV Target Tracking with Enhanced Context-Awareness and Pixel-Wise Attention Modulat, IEEE Transactions onGeoscience and Remote Sensing, minor revision 2023.

[18] Xueyao Xiao, Wei Zhang, Yi Chang, Shuning Cao, Wei He,Houzhang Fang, and Luxin Yan，Content-Aware Subspace Low-Rank Tensor Recovery for Hyperspectral Image Restoration，IEEE Transactions on Geoscience and Remote Sensing， DOI: 10.1109/TGRS.2023.3311482, 2023.(中科院1区Top期刊)

[17]Houzhang Fang, Zikai Liao, Lu Wang, Qingshan Li, Yi Chang ,Luxin Yan, Xuhua Wang,DANet: Multi-scale UAV Target Detection with Dynamic Feature Perception and Scale-aware Knowledge Distillation，Proceedings of the 31st ACM International Conference on Multimedia (MM '23), October 29-November 3, 2023, Ottawa, ON, Canada, pp. 2121–2130. (CCF-A)

[16] Cao Shuning, Chang Yi, Xu Shengqi,Houzhang Fang, Luxin Yan, Nonlinear Deblurring for Low-light Saturated Image, Sensors, 23(8), 3784, 2023.

[15] Zikai Liao,Houzhang Fang, Xuhua Wang, Yi Chang, and Luxin Yan,Differentiated Attention Guided Network over Hierarchical and Aggregated Features for Intelligent UAV Surveillance, IEEE Transactions on Industrial Informatics, vol. 19, no. 9, pp. 9909-9920, 2023. (中科院1区Top期刊)

[14] Shuning Cao#,Houzhang Fang#, Liqun Chen, Wei Zhang, Yi Chang, and Luxin Yan,Robust Blind Image Deblurring in Presence of the Line-Pattern Stripe Noise, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 5412117(1-17), 2022.(中科院1区Top期刊)

[13]Houzhang Fang, Lan Ding, Liming Wang, Yi Chang, Luxin Yan, Jinhui Han,Infrared Small UAV Target Detection Based on Depthwise Separable Residual Dense Network and Multi-Scale Feature Fusion, IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-20, 2022.(中科院2区Top期刊)

[12] 吴辰星，方厚章*，王啸林，昌毅，颜露新，基于模型重构和动态特征融合的红外无人机目标跟踪，第三届中国光谷人工智能大会暨企业家高峰论坛会议，8月6日-8月7日，湖北，武汉，2022。 (*通讯作者)

[11] Jinhui Han, Qiuyue Xu, Saed Moradi,Houzhang Fang, et al., A Ratio-Difference Local Feature Contrast Method for Infrared Small Target Detection, IEEE Geoscience and Remote Sensing Letters，vol. 19, pp. 7506705(1-5), 2022.

[10]Houzhang Fang, Xiaolin Wang, Zikai Liao, Yi Chang, Luxin Yan,A Real-time Anti-distractor Infrared UAV Tracker with Channel Feature Refinement Module, IEEE International Conference on Computer Vision 2021 Anti-UAV Workshop, pp. 1240-1248, 2021. (该反无人机主题仅接收5篇论文)

[9]廖梓凯，方厚章*，昌毅，颜露新，基于模型重构和自适应特征加权的红外无人机目标检测，第二届中国光谷人工智能大会暨企业家高峰论坛会议，7月23日-7月25日，湖北，武汉，2021。 (*通讯作者)

[8]丁兰，方厚章*，夏铭江，昌毅，颜露新，基于残差图像预测的红外弱小无人机目标检测，第二届中国光谷人工智能大会暨企业家高峰论坛会议，7月23日-7月25日，湖北，武汉，2021。 (*通讯作者)

[7] Shuning Cao, Yi Chang,Houzhang Fang, Luxin Yan, Robust blind image deblurring in presence of stripe noise, 第二届中国光谷人工智能大会暨企业家高峰论坛会议，7月23日-7月25日，湖北，武汉，2021.

[6]Houzhang Fang, Mingjiang Xia, Gang Zhou, Yi Chang, Luxin Yan,Infrared Small UAV Target Detection Based on Residual Image Prediction via Global and Local Dilated Residual Networks, IEEE Geoscience and Remote Sensing Letters，vol. 19, pp. 7002305-7002309, 2021. (SCI,中科院JCR 2区)

[5]方厚章，夏铭江，王啸林，陈敏，基于多尺度全卷积神经网络的红外弱小飞机目标实时检测，第七届高分辨率对地观测学术年会，湖南，长沙，青年创新基金论文奖，2020，资助率7%，奖励10万。

[4]Houzhang Fang, Mingjiang Xia, Hehui Liu, Yi Chang, Liming Wang, Xiyang Liu,Automatic Zipper Tape Defect Detection Using Two-stage Multi-scale Convolutional Networks, Neurocomputing, vol. 422, pp. 34-50, 2020. (SCI,中科院JCR 2区)

[3] Yi Chang, Luxin Yan,HouzhangFang, Sheng Zhong, Wenshan Liao, HSI-DeNet: Hyperspectral Image Restoration via Convolutional Neural Network, IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 2, 2019. (SCI,中科院1区Top期刊)

[2] Yi Chang, Luxin Yan, Li Liu,Houzhang Fang, and Sheng Zhong, Infrared Aerothermal Nonuniform Correction via Deep Multiscale Residual Network, IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 7, 2019. (SCI,中科院JCR 2区)

[1]Yi Chang, Luxin Yan, Meiya Chen,HouzhangFang, and Sheng Zhong, Two-Stage Convolutional Neural Network for Medical Noise Removal via Image Decomposition, Transactions on Instrumentation and Measurement, vol. 69. No. 6, pp. 2707-2721, 2019. (SCI,中科院JCR 2区)

2. 其它多谱图像处理与分析相关学术论文：

[1]Fang Houzhang∗, Yu Shi, Donghui Pan, Gang Zhou, Iteratively reweighted blind deconvolution for passive millimeter-wave images,Signal Processing, vol. 138, pp. 182-194, 2017. (SCI, 中科院JCR2 区)

[2]Fang Hou zhang, Yan Luxin, Liu Hai, Chang Yi, Blind Poissonian images deconvolution with framelet regularization，Optics Letters, Vol. 38, No. 4, pp. 389-391, 2013. (SCI,中科院JCR 2区)

[3]Fang Houzhang^#, Yi Chang^#, Luxin Yan, and Hai Liu. Robust destriping method with unidirectional total variation and framelet regularization, Optics Express, Vol. 21, No. 20, pp. 23307-23323, 2013. (#Indicates Equal Contribution)(SCI,共同第一作者,中科院JCR 2区)

[4]Yan Luxin,Fang Houzhang, and Zhong Sheng, Blind image deconvolution with spatially adaptive total variation regularization,Optics Letters, vol. 37, no. 14, pp. 2778-2780, 2012. (SCI,中科院JCR 2区)

[5]Fang Houzhang*, Yi Chang, Gang Zhou, Lizhen Deng，Iteratively Reweighted Blind Deconvolution With Adaptive Regularization Parameter Estimation,IEEE Access, vol. 5, pp. 11959-11973, 2017. (SCI, 中科院JCR2 区)

[6]Fang Houzhangand Luxin Yan, Poissonian image deconvolution with analysis sparsity priors,Journal of Electronic Imaging, Vol. 22, No. 2, 023033-1-10, 2013. (SCI,中科院JCR 3区)

[7]Fang Houzhang*, Chunan Luo, Gang Zhou, Xiaoping Wang, Hyperspectral Image Deconvolution with a Spectral-Spatial Total Variation Regularization,Canadian Journal of Remote Sensing, vol. 43, no. 4, pp. 384-395, 2017. (SCI,中科院JCR 3区)

[8]Yongzhong Huang, Cong He,FangHouzhang*, Xiaoping Wang, Iteratively reweighted unidirectional variational model for stripe non-uniformity correction,Infrared Physics & Technology, vol. 75, pp:107-116, 2015. (SCI,通讯作者,中科院JCR 3区)

[9]Fang Houzhangand Yan Luxin, Multiframe blind image deconvolution with split Bregman method,International Journal for Light and Electron Optics, vol. 125, no. 1, pp. 446- 451, 2014. (SCI,中科院JCR 4区)

[10]Fang, Houzhang, Yan, Luxin, Parametric blind deconvolution for passive millimeter wave images with framelet regularization,International Journal for Light and Electron Optics, vol. 125, no. 3, pp. 1454-1460, 2014. (SCI,中科院JCR 4区)

[11]Fang Houzhang, Yan Luxin, Zhang Tianxu, Liu Hai, Jin Mingzhi, Parametric blind deconvolution for passive millimeter wave images basing on image decomposition,InProceedings of International Symposium on Multispectral Image Processing and Pattern Recognition, pp. 80021K-80028, Guilin, China, 2011.11.18-23, oral report. (EI)

[12]Chang Yi,Fang Houzhang, and Yan Luxin, Joint blind deblurring and destriping for remote sensing images, InProceedings of the IEEE international conference on image processing(ICIP '13) Melbourne Australia, September 2013, oral report. (EI)

[13]Ye Tian, Yi Chang,Fang Houzhang, Hai Liu, Luxin Yan, A Hybrid concealed object detection method for PMMW images, Proc. of SPIE: Automatic Target Recognition and Navigation, Vol. 8918, 89180T(1)- 89180T(6), 2013. (EI)

[14]Chen Xiaofeng,Fang Houzhang*, Huang Yongzhong, One non-standard nonhomogeneous heat equation: identification and regularization for the inhomogeneous term, progresses in some fields of mathematical science, Science Press (科学出版社), China, pp. 27-33, 2011. (通讯作者)

[15]Li Liu, Luping Xu, andFang Houzhang, Simultaneous Intensity Bias Estimation and Stripe Noise Removal in Infrared Images Using the Global and Local Sparsity Constraints, IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 3, pp. 1777-1789, 2020.(中科院1区Top期刊)

[16]Liu Li, Luping Xu,Fang Houzhang, Infrared and visible image fusion and denoising via L2-Lp norm minimization, Signal Processing, vol. 172, pp. 107546(1-11), 2020. (SCI,中科院JCR 2区)

作为 Sensors 客座编辑的专刊：Special Issue "Advances and Perspectives of Object Detection Using Sensing (and Processing) Method"（seewebsitefor more details）

学生就业方向：

大数据和人工智能领域的方向（大模型及其应用、计算机视觉，图像处理，机器学习，机器视觉，数据挖掘，深度学习，智能制造等），自动驾驶，软件开发

毕业生去向：

2023 届毕业生（1人）：继续攻博。

2022届硕士生（2人）工作 Offer: 阿里巴巴，科大讯飞 (Special Offer)，网易 (Super Special Offer)，浙江大华 (Special Offer)，广联达 (Special Offer)，紫光展瑞，其它软件公司(>3) 。

（工信部计算机领域龙头企业：科大讯飞、网易、浙江大华、广联达、华为、紫光）

2021届实验室实习+毕设本科生：杨昌帅，阿里巴巴 (杭州)；王晗亦，上海交通大学 (直博)

2020届实验室实习+毕设本科生：杨舒文，爱丁堡大学 (英国留学); 陈敏，公司软件开发; 王啸林，读研