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About Me:

Currently, I am an Associate Professor in the School of Computer Science and Technology, Xidian University, China.

I received my doctor degree in control science and engineering, Huazhong University of Science and Technology, supervised by Prof. Tianxu Zhang and Prof. Luxin Yan during 2010-2014. I was also in the National Key Laboratory of Multi-spectral Image Processing Technologies, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.

Research Interests:

Contact E-mails:  houzhangfang (a) xidian.edu.cn, houzhangfang (a) gmail.com, please replace (a) with @.

Google Scholar: website. 

Publication:

1. Computer Vision papers：

[1] Houzhang Fang, Zikai Liao, 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, pp. 1-11, doi: 10.1109/TII.2022.3232777, 2023. [pdf]

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

[3] Houzhang Fang#, Shuning Cao#, 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. [pdf]

[4] 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. [pdf]

[5] 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.

[6] 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. [pdf]

[7]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)

[9] 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.

[10]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. [pdf]

[11]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。

[12]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.  [pdf]

[13] Yi Chang, Luxin Yan, Houzhang Fang, 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. 

[14] 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.

[15]Yi Chang, Luxin Yan, Meiya Chen, Houzhang Fang, 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. 


2. Other papers related to multi-spectral image processing：

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

[2]    Houzhang Fang, Luxin Yan, Liu Hai, Chang Yi, Blind Poissonian images deconvolution with framelet regularization，Optics Letters, Vol. 38, No. 4, pp. 389-391, 2013. 

[3]    Houzhang Fang#, 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)

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

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

[6]    Houzhang Fang and Luxin Yan, Poissonian image deconvolution with analysis sparsity priors, Journal of Electronic Imaging, Vol. 22, No. 2, 023033-1-10, 2013.

[7]    Houzhang Fang*, 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.

[8]    Yongzhong Huang, Cong He, Houzhang Fang*, Xiaoping Wang, Iteratively reweighted unidirectional variational model for stripe non-uniformity correction, Infrared Physics & Technology, vol. 75, pp:107-116, 2015. 

[9] Houzhang Fangand 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. 

[10] Houzhang Fang, 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. 

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

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

[13] Ye Tian, Yi Chang, Houzhang Fang, 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.

[14] Li Liu, Luping Xu, and Houzhang Fang, 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. 

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

[16] Luxin Yan, Hai Liu, Sheng Zhong, and Houzhang Fang, “Semi-blind spectral deconvolution with adaptive Tikhonov regularization”, Applied Spectroscopy, Vol. 66, No. 11, pp. 1334-1346, 2012.

[17] Hai Liu, Tianxu Zhang, Luxin Yan, Houzhang Fang, and Yi Chang, “A MAP-based algorithm for spectroscopic semi-blind deconvolution”, Analyst, Vol. 137, No. 16, pp. 3862-3873, 2013.

[18] Hai Liu, Luxin Yan, Yi Chang, Houzhang Fang, and Tianxu Zhang, “Spectral deconvolution and feature extraction with robust adaptive Tikhonov regularization”, IEEE Transactions on Instrumentation and Measurement, Vol. 61, No. 11, pp. 315-327, 2013.

 All papers or preprints can be obtained from authors by sending an email.