| 学术论文： |
[1] Wang Zeyu, Li Xiongfei, Duan Haoran, Su Yanchi, Zhang Xiaoli*,Guan Xinjiang.Medical image fusion based on convolutional neural networks and non-subsampled contourlet transform[J]. Expert Systems with Applications,2021, 171. [2] Yu Shuang, Li Xiongfei, Ma Mingrui, Zhang Xiaoli*, Chen Shiping.Multi-focus image fusion based on L1 image transform[J]. Multimedia Tools and Applications,2021, 80 (4): 5673-5700. [3] Yu Shuang, Li Xiongfei, Wang Hancheng, Zhang Xiaoli*, Chen Shiping.BIDI: A classification algorithm with instance difficulty invariance[J]. Expert Systems with Applications,2021, 165. [4] Zhang Siqi, Li Xiongfei, Zhu Rui, Zhang Xiaoli*, Wang Zeyu, Zhang Shuhan.Medical image fusion algorithm based on L-0 gradient minimization for CT and MRI[J]. Multimedia Tools and Applications,2021. [5] Zhu Rui, Li Xiongfei, Zhang Xiaoli*,Ma Mingrui.MRI and CT Medical Image Fusion Based on Synchronized-Anisotropic Diffusion Model[J]. IEEE Access,2020, 8: 91336-91350. [6] Zhu Rui, Li Xiongfei, Zhang Xiaoli*,Xu Xiaowei.MRI enhancement based on visual-attention by adaptive contrast adjustment and image fusion[J]. Multimedia Tools and Applications,2020. [7] Jiang Shuai, Li Xiongfei, Zhang Xiaoli*: An Image Fusion Algorithm Based on Local Laplasse Filter, Xu M,Zhang K,editor,Proceedings of the 2nd International Conference on Advances inMechanical Engineering and Industrial Informatics,2016: 571-577. [8] Li Xiongfei, Wang Lingling, Wang Jing, Zhang Xiaoli*. Multi-focus image fusion algorithm based on multilevelmorphological component analysis and support vector machine[J].IET ImageProcessing,2017, 11 (10): 919-926. [9] Liu Sihan, Li Xiongfei, Zhang Xiaoli*. Remote sensing image fusion algorithm based on mutual-structure forjoint filtering using saliency detection[J].Journal of Electronic Imaging,2019,28 (3). [10] Luo Shi, Li Xiongfei, Zhu Rui, Zhang Xiaoli*. SFA: Small Faces Attention Face Detector[J].Ieee Access,2019, 7:171609-171620. [11] Wang Jing, Li Xiongfei, Wang Zeyu, Duan Haoran, Zhang Xiaoli*. Exposure correction using deep learning[J].Journal ofElectronic Imaging,2019, 28 (3). [12] Wang Jing, Li Xiongfei, Zhang Yan, ZhangXiaoli*. Adaptive decomposition method for multi-modal medical imagefusion[J].IET Image Processing,2018, 12 (8): 1403-1412. [13] Wang Zeyu, Li Xiongfei, Duan Haoran, Zhang Xiaoli*, Wang Hancheng. Multifocus image fusion usingconvolutional neural networks in the discrete wavelet transformdomain[J]. Multimedia Tools and Applications,2019, 78 (24): 34483-34512. [14] Yang Chengjia, Li Xiongfei, Zhang Xiaoli. Lip Contour Extraction of RGB-based Improved Region GrowingAlgorithm[M]. 2014: 597-600. [15] Ye Fajie, Li Xiongfei, ZhangXiaoli*. FusionCNN: a remote sensing image fusion algorithm based on deepconvolutional neural networks[J]. Multimedia Tools and Applications,2019, 78(11): 14683-14703. [16] Yu Shuang, Li Xiongfei, Zhang Xiaoli*, Wang Hancheng. The OCS-SVM: An Objective-Cost-Sensitive SVM WithSample-Based Misclassification Cost Invariance[J]. IEEE Access,2019, 7:118931-118942. [17] Zhang Xiaoli, Li Xiongfei,Feng Yuncong.A new image fusion performance measure using Riesztransforms[J]. Optik,2014, 125 (3): 1427-1433. [18] Zhang Xiaoli, Li Xiongfei, Feng Yuncong. A medical image segmentation algorithm based on bi-directionalregion growing[J]. Optik,2015, 126 (20): 2398-2404. [19] Zhang Xiaoli, Li Xiongfei, Feng Yuncong.A classification performance measure considering the degree ofclassification difficulty[J]. Neurocomputing, 2016, 193: 81-91. [20] Zhang Xiaoli, Li Xiongfei, Feng Yuncong.A new multifocus image fusion based on spectrum comparison[J]. Signal Processing,2016, 123: 127-142. [21] Zhang Xiaoli, Li Xiongfei, Feng Yuncong.Image fusion based on simultaneous empirical wavelet transform[J]. Multimedia Tools and Applications,2017, 76 (6): 8175-8193. [22] Zhang Xiaoli, Li Xiongfei, Feng Yuncong, Liu Zhaojun.The use of ROC and AUC in the validation of objective image fusion evaluation metrics[J]. Signal Processing,2015, 115: 38-48. [23] Zhang Xiaoli, Li Xiongfei, Feng Yuncong, Zhao Haoyu, Liu Zhaojun. Image fusion with Internal Generative Mechanism[J]. Expert Systems with Applications, 2015, 42 (5): 2382-2391. [24] Zhang Xiaoli, Li Xiongfei,Li Hongpeng, Feng Yuncong, Ieee: A SEMI-AUTOMATIC BRAIN TUMOR SEGMENTATIONALGORITHM,2016 Ieee International Conference on Multimedia & Expo,2016. [25] Zhang Xiaoli, Li Xiongfei,Liu Zhaojun, Feng Yuncong.Multi-focus image fusion using image-partition-based focus detection[J].Signal Processing,2014, 102: 64-76. [26] Zhu Rui, Li Xiongfei, Zhang Xiaoli, Ma Mingrui.MRI and CT Medical Image Fusion Based on Synchronized-Anisotropic Diffusion Model[J]. IEEE Access,2020, 8: 91336-91350. [27] Feng Yuncong, Shen Xuanjing, Chen Haipeng, Zhang Xiaoli: Internal Generative Mechanism Based Otsu MultilevelThresholding Segmentation for Medical Brain Images, Advances in Multimedia Information Processing - PCM 2015, PtI,2015: 3-12. [28] Feng Yuncong, Shen Xuanjing, Chen Haipeng, Zhang Xiaoli. A weighted-ROC graph based metric for imagesegmentation evaluation[J]. Signal Processing,2016, 119: 43-55. [29] Feng Yuncong, Shen Xuanjing, Chen Haipeng, Zhang Xiaoli. Segmentation fusion based on neighboring information for MR brain images[J]. Multimedia Tools and Applications,2017, 76 (22):23139-23161. [30] Guo Rui, Shen Xuanjing, ZhangXiaoli*. 3D ROC Histogram: A New ROC Analysis Tool Incorporating Information on Instances[J].Ieee Access,2019, 7: 183396-183404. [31] Guo Rui, Shen Xuanjing, ZhangXiaoli*. Comprehensive measure for evaluating image fusion algorithm[J].Journal of Electronic Imaging,2020, 29 (1). [32] Qin Jun, Shen Xuanjing, Chen Haipeng, Lv Yingda, Zhang Xiaoli. A fusion algorithm for medical structural and functional images based on adaptive image decomposition[J]. Multimedia Tools andApplications,2019, 78 (22): 32605-32629. [33] 李雄飞, 王婧, 张小利, 范铁虎.基于SVM和窗口梯度的多焦距图像融合方法[J].公司学报(工学版),2020, 50 (01): 227-236. [34] 李雄飞, 宋璐, 张小利*.基于协同经验小波变换的遥感图像融合[J].公司学报(工学版),2019, 49 (04): 1307-1319. [35] 李雄飞, 周晋男, 张小利*.基于混合模型的广告转化率问题研究[J].东北大学学报(自然科学版),2019, 40 (07): 942-947. [36] 李雄飞, 冯婷婷, 骆实, 张小利*.基于递归神经网络的自动作曲算法[J].公司学报(工学版),2018, 48 (03): 866-873. [37] 肖明尧, 李雄飞, 张小利, 张刘.基于多尺度的区域生长的图像分割算法[J].公司学报(工学版),2017, 47 (05): 1591-1597. [38] 张小利, 李雄飞, 李军.融合图像质量评价指标的相关性分析及性能评估[J].自动化学报,2014, 40 (02): 306-315. (引用量：177，CNKI下载量2541次) [39] 赵海英, 张小利, 李雄飞, 彭宏.基于多尺度Meanshift图像去噪算法[J].公司学报(工学版),2014, 44 (05): 1417-1422. |
