Zhang Xiaoli

Title: associate professor（副教授）, PhD supervisor（博士生指导教师）

Address: No.2699 Qianjin Street, Changchun City, China.

Zip Code: 130012

Email: zhangxiaoli@jlu.edu.cn

Google Scholar： https://scholar.google.com/citations?user=2aR9j4UAAAAJ

研究生招生信息

实验室每年招生计算机和软件学院硕士16人左右，博士1-2人。实验室欢迎有志科研的优秀学生加入。

实验室为学生提供优质的软硬件资源，配备多台图形工作站，能充分支撑深度学习算法。多名硕士、博士研究生已发表多篇顶级期刊。

毕业后的硕士研究生去往各类型单位、部门，包括国内大厂、一线城市公务员、院士团队继续深造。

Work Experience （工作经历）

(1) 2019.09-至今 吉林大学计算机科学与技术学院 副教授

(2) 2018.11-2019.09 吉林大学计算机科学与技术学院 讲师

(3) 2016.09-2018.11 吉林大学通信工程学院 博士后

Research Interests （研究方向）

Image & Video Processing （图像视频处理）

Machine Learning （机器学习）

Selected Publications （部分论文）

(2023)

  1. 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, Accepted. (CCF A)

  2. 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, Accepted.(中科院2区)

  3. 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, Accepted.(中科院2区)

  4. 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)

  5. 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.

  6. Luo Shi, Li Xiongfei, Zhang Xiaoli*. Wide Aspect Ratio Matching for Robust Face Detection. Multimedia Tools and Applications, 2023, 82: 10535–10552.

(2022)

  1. 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)

  2. 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)

  3. 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)

  4. Luo Shi, Li Xiongfei, Zhang Xiaoli*. Bounding-box deep calibration for high performance face detection. IET Computer Vision, 2022, 16(8): 747-758.

(2021)

  1. 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)

  2. 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)

  3. 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）

  4. 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.

  5. 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: 114574. （中科院1区）

  6. Yu Shuang, Li Xiongfei, Ma Mingrui, Zhang Xiaoli*, Chen Shiping. Multi-focus image fusion based on L1 image transform. Multimedia Tools and Applications, 2021, 80 (4): 5673-5700.（CCF C类期刊，ESI期刊）

  7. Yu Shuang, Li Xiongfei, Wang Hancheng, Zhang Xiaoli*, Chen Shiping. BIDI: A classification algorithm with instance difficulty invariance. Expert Systems with Applications, 2021, 165: 113920.（中科院1区）

  8. 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. Multimedia Tools and Applications, 2021, 80 (14): 21135-21164.（CCF C类期刊，ESI期刊）

  9. Zhu Rui, Li Xiongfei, Zhang Xiaoli*, Xu Xiaowei. MRI enhancement based on visual-attention by adaptive contrast adjustment and image fusion. Multimedia Tools and Applications, 2021, 80(9): 13019.（CCF C类期刊，ESI期刊）

(2020)

  1. Zhu Rui, Li Xiongfei, Zhang Xiaoli*, Ma Mingrui. MRI and CT Medical Image Fusion Based on Synchronized-Anisotropic Diffusion Model. IEEE Access, 2020, 8: 91336-91350.

  2. Guo Rui, Shen Xuanjing, Zhang Xiaoli*. Comprehensive measure for evaluating image fusion algorithm. Journal of Electronic Imaging, 2020, 29(1): 013008.

(2019)

  1. Liu Sihan, Li Xiongfei, Zhang Xiaoli*. Remote sensing image fusion algorithm based on mutual-structure for joint filtering using saliency detection. Journal of Electronic Imaging, 2019, 28 (3): 033007.

  2. Luo Shi, Li Xiongfei, Zhu Rui, Zhang Xiaoli*. SFA: Small Faces Attention Face Detector. IEEE Access, 2019, 7:171609-171620.

  3. Wang Jing, Li Xiongfei, Wang Zeyu, Duan Haoran, Zhang Xiaoli*. Exposure correction using deep learning. Journal of Electronic Imaging,2019, 28 (3): 033003.

  4. Ye Fajie, Li Xiongfei, Zhang Xiaoli*. FusionCNN: a remote sensing image fusion algorithm based on deep convolutional neural networks. Multimedia Tools and Applications, 2019, 78(11): 14683-14703.

  5. Yu Shuang, Li Xiongfei, Zhang Xiaoli*, Wang Hancheng. The OCS-SVM: An Objective-Cost-Sensitive SVM WithSample-Based Misclassification Cost Invariance. IEEE Access, 2019, 7: 118931-118942.

  6. Wang Zeyu, Li Xiongfei, Duan Haoran, Zhang Xiaoli*, Wang Hancheng. Multifocus image fusion using convolutional neural networks in the discrete wavelet transform domain. Multimedia Tools and Applications, 2019, 78 (24): 34483-34512.

  7. Guo Rui, Shen Xuanjing, Zhang Xiaoli*. 3D ROC Histogram: A New ROC Analysis Tool Incorporating Information on Instances. IEEE Access, 2019, 7: 183396-183404.

  8. 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.

  9. 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.

(-2018)

  1. Wang Jing, Li Xiongfei, Zhang Yan, Zhang Xiaoli*. Adaptive decomposition method for multi-modal medical imagefusion. IET Image Processing, 2018, 12 (8): 1403-1412.

  2. 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. 吉林大学学报(工学版), 2018, 48 (03): 866-873.

  3. Li Xiongfei, Wang Lingling, Wang Jing, Zhang Xiaoli*. Multi-focus image fusion algorithm based on multilevel morphological component analysis and support vector machine. IET Image Processing, 2017, 11 (10): 919-926.

  4. Zhang Xiaoli, Li Xiongfei, Feng Yuncong. Image fusion based on simultaneous empirical wavelet transform. Multimedia Tools and Applications,2017, 76 (6): 8175-8193.

  5. 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类会议长文).

  6. Zhang Xiaoli, Li Xiongfei, Feng Yuncong. A classification performance measure considering the degree ofclassification difficulty. Neurocomputing, 2016, 193: 81-91.

  7. Zhang Xiaoli, Li Xiongfei, Feng Yuncong. A new multifocus image fusion based on spectrum comparison. Signal Processing,2016, 123: 127-142.

  8. Zhang Xiaoli, Li Xiongfei, Feng Yuncong. A medical image segmentation algorithm based on bi-directional region growing. Optik,2015, 126 (20): 2398-2404.

  9. 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.

  10. 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.

  11. Zhang Xiaoli, Li Xiongfei, Feng Yuncong. A new image fusion performance measure using Riesztransforms. Optik,2014, 125 (3): 1427-1433.

  12. Zhang Xiaoli, Li Xiongfei, Liu Zhaojun, Feng Yuncong. Multi-focus image fusion using image-partition-based focus detection. Signal Processing, 2014, 102: 64-76.

  13. 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：198，CNKI下载量2769次)

Patents （专利）

  1. （1/7）基于卷积神经网络的多尺度遥感图像融合方法，专利号：ZL 2018 1 0839303.0, 授权日期：2021-06-29

  2. (3/6) 一种基于样本难度的垃圾邮件分类方法，专利号：ZL 2020 1 0374804.3, 授权日期：2022-07-22

  3. (3/5) 基于卷积神经网络的离散小波变换域多聚焦图像融合方法，申请号：20190534050.0，申请日期：2019-06-20

Teaching & Supervision（教学）

Database System Principles

Grants & funding （项目）

  1. 国家自然科学基金（青年基金），61801190，基于自适应分解的图像融合及其质量评估问题研究，2019/01-2021/12，在研，主持。

  2. 吉林省优秀青年人才基金项目，20180520029JH，基于深度学习的图像融合算法研究，2018/01-2019/12，结题，主持。

  3. 中国博士后科学基金面上项目（二等），2017M611323，图像融合质量评价体系构建理论研究，2017/07-2019/07，结题，主持。

  4. 符号计算与知识工程教育部重点实验室自主课题项目，93K172017Z02，多尺度图像融合算法理论研究，2017/01-2018/12，结题，主持。

  5. 横向项目，基于深度学习的牛脸识别系统，2021/11-2024/11，在研，主持。

  6. 横向项目，基于深度学习的视觉SLAM定位关键技术研发项目，2022/06-2023/11，在研，主持。

Social Service（社会兼职）

  1. CCF 高级会员；

  2. 中国图象图形学会会员，医学影像专业委员会委员，数字文化遗产专委会委员；

  3. IEEE会员；

  4. 吉林省数字医学学会会员；

  5. SCI期刊（TMM, TIP, TNNLS等）、国内权威期刊（如计算机学报等）审稿人；

  6. ICDIP 2022 技术委员会成员，session chair。

  7. ICDIP 2023 技术委员会成员，invited speaker。