方厚章

方厚章

方厚章,男,博士,西安電子科技大學計算機科學與技術學院副教授、碩士生導師

基本介紹

  • 中文名:方厚章
  • 畢業院校:華中科技大學
  • 學位/學歷:博士
  • 職業:教師
  • 專業方向:人工智慧、深度學習及其套用等
  • 職務:西安電子科技大學計算機科學與技術學院碩士生導師
  • 任職院校:西安電子科技大學計算機科學與技術學院
  • 職稱:副教授
個人經歷,研究方向,學術成果,

個人經歷

中國計算機學會會員。於2014年畢業於華中科技大學人工智慧與自動化學院,獲工學博士學位,博士生導師為張天序教授和顏露新教授。2014-2017年在西安電子科技大學雷達信號處理國家級重點實驗室從事教學與科研工作。2018年至今在西安電子科技大學計算機科學與技術學院軟體工程研究所從事教學與科研工作。

研究方向

現從事人工智慧、深度學習及其套用、圖像處理與分析、視覺檢測、軟體開發等方面的研究工作。研究興趣包括圖像處理、分析與理解、計算機視覺圖像目標檢測與識別、工業智慧型缺陷檢測、人工智慧醫療影像輔助診斷系統、軟體開發等。
研究興趣包括深度學習、計算機視覺圖像目標檢測、識別與跟蹤、工業智慧型視覺缺陷檢測、圖像處理、分析與理解、系統軟體開發等。
套用方向:
(1)成像感測器態勢感知。涉及紅外與可見光運動目標的檢測、識別與跟蹤,涉及檢測、識別與跟蹤算法的研究與設計,識別與跟蹤結果演示系統的軟體設計與開發。
(2)機器視覺,涉及人工智慧視覺檢測與識別算法研究並將其套用於工業生產線產品質量缺陷檢驗,人體可疑物品安檢。
(3)醫學影像處理與分析,涉及人工智慧醫療影像輔助智慧型篩查與診斷算法的研究,並開發輔助智慧型篩查與診斷軟體系統。
(4)圖像恢復,涉及惡劣環境下圖像解析度增強,圖像盲反卷積,圖像去噪,圖像超解析度,圖像去霧等。

學術成果

作為項目負責人先後主持了國家自然科學基金、陝西省自然科學基金、國家級重點實驗室開放基金、裝備發展預研項目和裝備研製橫向等國家與省部級項目,涉及圖像處理與分析、計算機視覺等方面,並參與國家自然科學基金、企業合作開發項目和國防基礎預研等多項縱向和橫向項目。
在國內外學術期刊及國際學術會議發表相關研究論文20餘篇,其中以第一作者或通訊作者在國外學術期刊發表SCI檢索論文12篇,並擔任多個國際學術期刊的審稿人。申請發明專利4項,授權3項。
發表部分論文如下:
深度學習相關論文:
[1] Yi Chang ; Luxin Yan ;FangHouzhang; 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JCR 2區);
[2] Yi Chang,Luxin Yan, Li Liu,FangHouzhang, 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區);
[3]Yi Chang, Luxin Yan, Meiya Chen,Fang Houzhang, and Sheng Zhong, Two-Stage Convolutional Neural Network for Medical Noise Removal via Image Decomposition, Transactions on Instrumentation and Measurement, DOI: 10.1109/TIM.2019.2925881, 2019 (SCI,中科院JCR 3區).
其它論文:
[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區);
[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區);
[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區);
[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,導師第一作者,中科院JCR 2區);
[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區);
[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區);
[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區);
[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,通訊作者,中科院JCR 3區);
[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區);
[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區);
[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 (科學出版社), China, pp. 27-33, 2011. (通訊作者);
[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.
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