易黄建

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职称:副教授/硕士生导师

个人简介:

主要研究领域:光学图像三维重建(荧光分子断层成像,X-射线发光断层成像等)、三支决策模型与应用、智能信息处理。

本人分别于2008年和2013西安电子科技大学获学士学位和博士学位,毕业后进入yl23411永利集团官网工作,20167月进入yl23411永利集团官网计算机科学与技术流动站从事博士后研究工作。近年来一直致力于三支决策和光学分子断层成像研究,具体为三支决策模型及其理论,以及在荧光分子断层成像、x-射线断层成像的应用。目前主持国家自然科学基金青年基金1项、中国博士后科学基金面上项目1项、陕西省自然科学基础研究计划青年项目1项、陕西省教育厅专项基金1项等相关项目,作为主要人员参与了国家自然科学基金面上项目和青年项目的研究。在三支决策理论、光学分子断层成像等方面取得了一系列研究成果,已发表相关的SCI索引文章20篇,EI索引文章4篇,其中第一作者或通信作者发表SCI索引文章10篇,授权或申请国家发明专利10余项。

欢迎感兴趣的同学加入我的科研团队!联系方式:yhj2014@nwu.edu.cn


科研成果:

1. Hou Yuqing, Tang Zijian, Yi Huangjian*(易黄建), Guo Hongbo, Yu Jingjing, He Xiaowei. A three-term conjugate gradient method for X-ray luminescence computed tomography. Journal of the Optical Society of America A-Optics Image Science and Vision, Submitted, 2021. (SCI 3)

2. Wang Bin, Jiao PU, Yi Huangjian*(易黄建),Cao Xin, Zhao Fengjun, Hou Yuqing, He Xiaowei. The image reconstruction for fluorescence molecular tomography via a non-uniform mesh. Optical Review. 27(1): 31-38, 2020. (SCI 4)

3. Jiao Pu,  Yi Huangjian*(易黄建), Hu Yuelin, He Xiaowei. A permissible region strategy for fluorescence molecular tomography. Optical Review. 26(6): 523-530, 2019. (SCI 4)

4. Yi Huangjian (易黄建), Qu Xuan, Sun Yi, Peng Jinye, Hou Yuqing, and He Xiaowei*. A permissible region extraction based on a knowledge priori for X-ray luminescence computed tomography, Multimedia Systems .25(2):147-154, 2019. (SCI 3区)

5. Wang Bin, Zhang Xu, Hou Yuqing, He Xuelei, Yi Huangjian*(易黄建), and He Xiaowei*. Efficient image reconstruction for fluorescence molecular tomography via linear regression approximation scheme with dual augmented Lagrangian method, Multimedia Systems . 25(2): 135-145, 2019. (通讯作者, SCI 3)

6. Yi Huangjian (易黄建), Jiao Pu, Li Xiaonan*, Peng Jinye, He Xiaowei. Three-way decision based reconstruction frame for fluorescence molecular tomography, Journal of the Optical Society of America A-Optics Image Science and Vision, 35(11): 1814-1822, 2018. (SCI 3)

7. Yi Huangjian (易黄建), Wei Hongna, Peng Jinye, Hou Yuqing, and He Xiaowei*. Adaptive threshold method for recovered images of FMT, Journal of the Optical Society of America A-Optics Image Science and Vision, 35(2): 256-261, 2018. (SCI 3)

8. Zhao Fengjun, Chen Yibing, Chen Fei, He Xuelei, Cao Xin, Hou Yuqing, Yi Huangjian* (易黄建), He Xiaowei*, Liang Jimin*. SemiSupervised Cerebrovascular Segmentation by Hierarchical Convolutional Neural Network. IEEE access, 6:67841-67852, 2018. (通讯作者, SCI 2)

9. Yi Huangjian (易黄建), Zhang Xu, Peng Jinye, Zhao Fengjun, Wang Xiaodong, Hou Yuqing, Chen Duofang and He Xiaowei*. Reconstruction for Limited-Projection Fluorescence Molecular Tomography Based on a Double-Mesh Strategy, Biomed Research International, 2016, ID5682851, 2016. (SCI 3)

10. Huangjian Yi(易黄建), Duofang Chen, Wei Li, Shouping Zhu, Xiaorui Wang, Jie Tian and Jimin Liang*. Reconstruction algorithms based on l1-norm and l2-norm for two imaging models of fluorescence molecular tomography: a comparative study. Journal of Biomedical Optics. 18(5): 056013, 2013. (SCI 3)

11. Huangjian Yi(易黄建), Duofang Chen, Xiaochao Qu, Kuan Peng, Xueli Chen, Yuanyuan Zhou, Jie Tian and Jimin Liang*. Multilevel, hybrid regularization method for reconstruction of fluorescent molecular tomography. Applied Optics. 51(7): 975-986, 2012. (SCI 3)

12. Li Xiaonan, Yi Huangjian* (易黄建). Intuitionistic fuzzy matroids, Journal of Intelligent & Fuzzy Systems, 33(6): 3653-3663, 2017. (通讯作者,SCI 4)

13. Yi Huangjian (易黄建), Hu Yuelin, Jiao Pu, Cao Xin, Hou Yuqing, Zhao Fengjun*, He Xiaowei*. Recognition for multiple sources of bioluminescence tomography: A comparative study. Tenth International Conference on Information Optics and Photonics. China, 7.8-7.11, 2018. (EI)

14. 11. Yi Huangjian* (易黄建), Peng Jinye, Jin Chen, and He Xiaowei*.An Optimization-based Iterative Algorithm for Recovering Fluorophore Location, Applied Optics and Photonics China, 5.5-5.7, 2015. (EI)

15. 侯榆青,贾涛,易黄建*,张海波,贺小伟. 基于改进谱投影梯度算法的X射线发光断层成像, 光学精密工程, 25(1): 42-49, 2017. (EI, 通讯作者)

16. Li Xiaonan, Yi Huangjian (易黄建)She YanhongSun Bingzhen. Generalized three-way decision models based on subset evaluation. International Journal of Approximate Reasoning, 83: 142-159, 2017. (SCI 3)

17. Li Xiaonan, Yi Huangjian (易黄建). Fuzzy bases of fuzzy independent set systems, Fuzzy Sets and Systems, 311: 99-111, 2017. (SCI 1)

18. Li Xiaonan, Yi Huangjian (易黄建), Liu Sanyang, Rough sets and matroids from a lattice-theoretic viewpoint, Information Sciences, 342: 37-52, 2016. (SCI 1)

19. Li Xiaonan, Yi Huangjian (易黄建), Structural properties of fuzzy graphes, Iranian Journal of Fuzzy Systems, 14(1): 131-144, 2017. (SCI 4)

20. He Xuelei, Yu Jingjing, Wang Xiaodong, Yi Huangjian(易黄建), Chen Yanrong, Song Xiaolei, He Xiaowei*. Half Thresholding Pursuit Algorithm for Fluorescence Molecular Tomography. IEEE Transactions on Biomedical Engineering. 66(5): 1468-1476, 2019. (IF4.491,中科院2)

21. Guo Hongbo, Yu Jingjing, Hu Zhenhua, Yi Huangjian(易黄建), Hou Yuqing, He Xiaowei*. A hybrid clustering algorithm for multiple-source resolving in bioluminescence tomography. Journal of Biophotonics. 11(4): e201700056, 2018. (IF3.763,中科院2)

22. 李小南, 刘三阳, 易黄建, 超拟阵的独立集公理、基公理和圈公理, 中国科学: 数学, (09): 1351-1364, 2016.

23. Li Xiaonan, Yi Huangjian (易黄建), Axioms for fuzzy bases of Hsueh fuzzy matroids, Journal of Intelligent & Fuzzy Systems, 29(5): 1995-2001, 2015. (SCI 4)

24. He Xuelei, Wang Xiaodong, Yi Huangjian (易黄建), Chen Yanrong, Zhang Xu, Yu Jingjing, He Xiaowei. Laplacian manifold regularization method for fluorescence molecular tomography. Journal of Biomedical Optics. 22(4): 2017. (SCI 3)

25. Wu Zitong, Wang Xiaodong, Yu Jingjing, Yi Huangjian (易黄建), Xiaowei He. Synchronization-based clustering algorithm for reconstruction of multiple reconstructed targets in fluorescence molecular tomography. Journal of the Optical Society of America A-Optics Image Science and Vision. 35(2): 328-335. 2018. (SCI 3)


部分发明专利


1.易黄建、曲璇、侯榆青贺小伟张海波、焦璞X射线发光断层成像的目标可行区提取方法,中国发明专利,专利号ZL 201710448648.9,授理日:2020911

2.贺小伟、胡跃林、易黄建、榆青王宾、赵凤军、曹欣。一种荧光分子断层成像目标可行域选取方法,中国发明专利,专利号:ZL 201711078146.8,授权日:2020年9月11日。

3.易黄建、刘晓航、侯榆青贺小伟、郭红波。一种新的目标可行区提取方法、系统、介质、设备及应用。中国发明专利,申请号:202011570926.6,受理日:2020年12月26日。

4.易黄建焦璞任睿思赵凤军曹欣贺小伟,侯榆青,一种基于三支决策的荧光目标重建结果后处理方法,中国发明专利,申请号:201810425754.X,受理日:201857日。

5.易黄建、贺小伟、赵凤军、王晓东、郭红波、张旭,基于双网格的有限投影的荧光分子断层成像重建方法,中国发明专利,申请号:201510787814.9,受理日:20151117日。

6.赵凤军、陈雁蓉、贺小伟、贺小慧、高培、何雪磊、孙飞飞、曹欣、易黄建、侯榆青,基于统计形状模型的医学图像Graph Cut分割方法,中国发明专利,专利号:201610838092.X,授权日:201979日。

7.赵凤军、胡昊文、侯榆青、吴斌、曹欣、易黄建、王宾、贺小伟,基于关键点检测和深度学习的软组织器官图像分割方法,中国发明专利,申请号:201810772895.9,受理日:2018714日。

8.屈晓超、赵凤军、易黄建、冉超、刘俊廷、梁继民、田捷,一种活体动物血管新生定量分析方法,中国发明专利,专利号:201310190321.8,授权日:20141215日。


科研奖励


1.面向胃癌早期定量检测的光学分子成像新方法,2019年陕西省自然科学奖二等奖,排名第4

2.光学分子断层成像方法及其生物学应用验证,2020年度陕西高等学校科学技术奖一等奖,排名第7


科研项目


1.三支决策扩展模型及其在荧光分子断层成像中的应用研究,国家自然科学基金青年项目,61906154,主持

2.基于三支决策的荧光分子断层成像形状重建研究,陕西省科技厅自然基础研究项目, 2018JQ6099,主持结题

3.面向乳腺癌放疗的荧光分子断层成像研究,中国博士后科学基金面上项目,2016M602851,主持

4.基于双网格策略的荧光分子断层成像实时重建算法研究,陕西省教育厅专项科研计划项目, 16JK1772,主持结题

5.面向肿瘤放疗决策的X射线发光计算机断层成像模型和算法研究,国家自然科学基金面上项目,115710122016.1-2019.12,参与

6.结合区域收缩与多网格策略的X射线发光断层成像技术研究,国家自然科学基金应急项目,61640418,参与

7.基于CT血管造影成像的冠脉斑块识别及狭窄功能评估方法研究,国家自然科学基金青年项目,61601363,参与

8.基于拟阵方法的粗糙集理论研究,国家自然科学基金青年项目,612021782013.1-2015.12,参与

9.新型棉酚衍生物ApoG2靶向给药系统的构建及其在体疗效评估,国家自然科学基金青年项目,811011002012.1-2014.12,参与


教学情况:

本科教学:《信号与系统》,《Signal Processing》(中外合作办学)

研究生:《数值计算》,《数字视频图像处理》


其它信息:

担任IEEE Transactions on Medical ImagingJournal of the Optical Society of America A-Optics Image Science and Vision等杂志的审稿人




地址:西安市长安区郭杜教育科技产业园区学府大道1号  邮编:710127

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