Wang Zeyu, Li Xiongfei, Duan Haoran, Zhang Xiaoli*. A Self-supervised Residual Feature Learning Model for Multi-focus Image Fusion. IEEE Transactions on Image Processing, 2022, 31: 4527-4542. (CCF A)
Wang Zeyu, Li Xiongfei, Zhao Libo, Duan Haoran, Wang Shidong, Liu Hao, Zhang Xiaoli*. When Multi-Focus Image Fusion Networks Meet Traditional Edge-Preservation Technology, International Journal of Computer Vision, 2023, 131, 2529-2552.(CCF A)
Zhu Rui, Li Xiongfei, Huang Sa, Zhang Xiaoli*. Multimodal medical image fusion using adaptive co-occurrence filter-based decomposition optimization model. Bioinformatics, 2022, 38(3)：818-826. (CCF B)
Zhu Rui, Li Xiongfei, Zhang Xiaoli*, Wang Jing. HID: The Hybrid Image Decomposition Model for MRI and CT Fusion. IEEE Journal of Biomedical and Health Informatics, 2022, 26(2)：727-739. (中科院1区，TOP期刊)
Yu Shuang, Li Xiongfei, Feng Yuncong, Zhang Xiaoli*, Shiping Chen. An Instance-Oriented Performance Measure for Classification. Information Sciences, 2021, 580: 598-619. (中科院1区，CCF B)
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.自动化学报,2014, 40 (02): 306-315. (引用量：295，CNKI下载量4050次)
Wang Yu(本人指导研究生), Zhang Xiaoli, Huang Bo, Li Xiongfei, Amit Abu Sadat Mohammad Salehin, Zhu Rui*. RaGMAN: A relativistic average generative multi-adversarial network for pansharpening, Applied Soft Computing, 2023, 143: 110428.(中科院1区)
Feiyang Yang, Xiongfei Li, Haoran Duan*, Yang Long, Feilong Xu, Yawen Huang*, Xiaoli Zhang*, and Yefeng Zhen. MRL-Seg: Overcoming Imbalance in Medical Image Segmentation With Multi-Step Reinforcement Learning, IEEE Journal of Biomedical and Health Informatics,2024,28(2): 858-869. (中科院1区，TOP期刊)
Feng Yuncong, Cong Yeming, Xing Shuaijie , Wang Hairui , Ren Zihang ,Xiaoli Zhang*. GCFormer: Multi-scale feature plays a crucial role in medical images segmentation, Knowledge-Based Systems, 2024, 300: 112170(中科院1区，TOP期刊)
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. Expert Systems with Applications, 2021, 171.(中科院1区)
Yu Shuang, Li Xiongfei, Wang Hancheng, Zhang Xiaoli*, Chen Shiping.BIDI: A classification algorithm with instance difficulty invariance. Expert Systems with Applications,2021, 165. (中科院1区)
Zhang Xiaoli, Li Xiongfei, Feng Yuncong, Zhao Haoyu, Liu Zhaojun. Image fusion with Internal Generative Mechanism. Expert Systems with Applications, 2015, 42 (5): 2382-2391. (中科院1区)
Zhang Xiaoli, Li Xiongfei,Li Hongpeng, Feng Yuncong. A Semi-Automatic Brain Tumor Segmentation Algorithm, 2016 IEEE International Conference on Multimedia & Expo, 2016. (CCF B会议)
Feng Yuncong, Wu Jie, Hu Xiaohan, Zhang Wenjuan, Wang Guishen, Zhou Xiaotang, Zhang Xiaoli*. Medical image fusion using bilateral texture filtering, Biomedical Signal Processing and Control, 2023, 85, 105004. (中科院2区)
Lin Xinze, Li Xiongfei, Zeyu Wang, Zhang Xiaoli*. Detecting sparse building change with ambiguous label using Siamese Full-Scale Connected Network and Instance Augmentation, Applied Intelligence, 2023, 53, 22969-22990.(中科院2区)
Song Zixuan, Li Xiongfei, Song Zixuan, Wang Zeyu, Zhang Xiaoli*, Yang Yu. Edge refinement multi-feature for change detection in bitemporal remote sensing images, Signal Processing: Image Communication, 2023, Accepted. (中科院2区)
Luo Shi, Li Xiongfei,Zhang Xiaoli*. Bounding-box deep calibration for high performance face detection. IET Computer Vision, 2022. (CCF C类期刊)
Wang Yu, Li Xiongfei, Zhu Rui, Wang Zeyu, Feng Yuncong, Zhang Xiaoli*. A multi-focus image fusion framework based on multi-scale sparse representation in gradient domain. Signal Processing, 2021, 189: 108254. (中科院2区)
Yu Shuang, Li Xiongfei, Wang Hancheng,Zhang Xiaoli*, Chen Shiping. C_CART: An instance confidence-based decision tree algorithm for classification. Intelligent Data Analysis, 2021, 25 (4): 929-948. (CCF C类期刊)
Zhang Siqi, Li Xiongfei,Zhang Xiaoli*, Zhang Shuhan. Infrared and visible image fusion based on saliency detection and two-scale transform decomposition. Infrared Physics & Technology, 2021, 114.
Li Xiongfei, Wang Lingling, Wang Jing, Zhang Xiaoli*. Multi-focus image fusion algorithm based on multilevelmorphological component analysis and support vector machine. IET ImageProcessing, 2017, 11 (10): 919-926. (CCF C类期刊)
Liu Sihan, Li Xiongfei, Zhang Xiaoli*. Remote sensing image fusion algorithm based on mutual-structure forjoint filtering using saliency detection. Journal of Electronic Imaging, 2019, 28 (3): 1.
Wang Jing, Li Xiongfei, Zhang Yan, ZhangXiaoli*. Adaptive decomposition method for multi-modal medical imagefusion. IET Image Processing, 2018, 12 (8): 1403-1412. (CCF C类期刊)
Ye Fajie, Li Xiongfei, ZhangXiaoli*. FusionCNN: a remote sensing image fusion algorithm based on deepconvolutional neural networks. Multimedia Tools and Applications, 2019, 78(11): 14683-14703. (CCF C类期刊)
Zhang Xiaoli, Li Xiongfei, Feng Yuncong. A new image fusion performance measure using Riesztransforms. Optik, 2014, 125 (3): 1427-1433.
Zhang Xiaoli, Li Xiongfei, Feng Yuncong. A medical image segmentation algorithm based on bi-directionalregion growing. Optik, 2015, 126 (20): 2398-2404.
Zhang Xiaoli, Li Xiongfei, Feng Yuncong.A classification performance measure considering the degree ofclassification difficulty. Neurocomputing, 2016, 193: 81-91.
Zhang Xiaoli, Li Xiongfei, Feng Yuncong.A new multifocus image fusion based on spectrum comparison. Signal Processing, 2016, 123: 127-142.
Zhang Xiaoli, Li Xiongfei, Feng Yuncong.Image fusion based on simultaneous empirical wavelet transform. Multimedia Tools and Applications, 2017, 76 (6): 8175-8193.
Zhang Xiaoli, Li Xiongfei, Feng Yuncong, Liu Zhaojun.The use of ROC and AUC in the validation of objective image fusion evaluation metrics. Signal Processing, 2015, 115: 38-48.
Zhang Xiaoli, Li Xiongfei, Liu Zhaojun, Feng Yuncong. Multi-focus image fusion using image-partition-based focus detection. Signal Processing, 2014, 102: 64-76.
Feng Yuncong, Shen Xuanjing, Chen Haipeng, Zhang Xiaoli. A weighted-ROC graph based metric for imagesegmentation evaluation. Signal Processing, 2016, 119: 43-55.
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.吉林大学学报(工学版),2019, 49 (04): 1307-1319.
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.东北大学学报(自然科学版),2019, 40 (07): 942-947.
