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学术成果展示

目录

1. 科研项目

[1] 面向智慧全息路口的多传感器融合感知与交通信号优化关键技术研究及应用示范,烟台市科技创新发展计划(校地融合类);No.2023XDRH001;资助金额50万,项目负责人,2023.01-2025.12.
[2] 实景三维辅助决策关键技术研究及示范推广;No.YDZX2022093;中央引导地方资金项目,项目负责人,2022.11-2024.11.
[3] 基于fMRI/EEG多模态特征融合的抑郁症自杀风险预测研究;No: 62176140; 国家自然科学基金面上项目,项目负责人,2022.01-2025.12.
[4] 多源多模态图像特征融合研究及在自闭症早期诊断中的应用;No:61773244;国家自然科学基金面上项目,项目负责人,2018.01-2021.12.
[5] 基于增量式多核学习的颅脑CT图像病理诊断语义标注研究;No: 2015ZRB01675; 山东省自然科学基金项目,项目负责人,2015-2017.
[6] KPCA在线学习及在人脸识别中的应用; No: ZR2011FM035; 山东省自然科学基金项目,项目负责人 , 2011-2014.
[7] 随机过程,2021年山东省研究生教育优质课程建设项目,课程负责人 , 2022-2023.

2. 学术论文

*第一或通讯
[1] Feng Zhao, Benshuo Zhang, Xiaoning Yu, Feng Ke, Yali Li, Jintao Wang. GSD-DETR: A Geometry–Saliency–Domain Enhanced End-to-End Detector for Container Damage and Fine-Grained Defect Detection. IEEE Transactions on Instrumentation and Measurement. 2026.7. (JCR: Q1, IF: 7.0)
[2] 张本硕,柯枫,安志勇,于晓宁,韩忠伟,赵峰*. 融合多尺度上下文与 Mamba 时序建模的 Himawari-8/9 卫星火点检测. 中国图象图形学报. 2026.6.
[3] Yali Li, Jintao Wang, Ye Fang, Heting Sun, Jinyu Hao, Feng Zhao*. Container damage detection based on lightweight U-Net and vision transformer. PeerJ Computer Science. 2026.4. (JCR: Q2, IF: 2.9)
[4] Feng Zhao, Xinyuan Wang, Xinhao Li, Dapeng Cheng, Xiulong Jia. A hybrid medium-long-term photovoltaic power forecasting model based on symplectic geometry mode decomposition and Mamba. Energy Reports. 2025.12. (JCR: Q2, IF: 6.6)
[5] Feng Zhao, Mengyang Liu, Yating Gao, Xiaoyan Qiao, Shiyu Ge, Pingping Liu, Yong Zhang. Personalized similarity regression models based on maximum correntropy criterion for stock series prediction. Knowledge and Information Systems. 2025.4. (JCR: Q2, IF: 3.6)
[6] Xiliang Li, Shuoru Chen, Xiaoyan Qiao, Mingli Zhang, Caiming Zhang, Feng Zhao*. Multi-perspective Learning Based on Transformer for Stock Price Trend. International Journal of Computational Intelligence Systems. 2025.2. (JCR: Q2, IF: 3.0)
[7] Hongwu Chen, Fan Feng, Pengwei Lou, Ying Li, Mingli Zhang, Feng Zhao*. Prob-sparse self-attention extraction of time-aligned dynamic functional connectivity for ASD diagnosis. Heliyon. 2025.1. (JCR: Q1, IF: 3.6)
[8] Wen Jiang, Mengyang Liu, Mingyan Xu, Shuoru Chen, Kai Shi, Pingping Liu, Caiming Zhang, Feng Zhao*. New Reinforcement Learning based on Representation Transfer for Portfolio Management. Knowledge-Based Systems. 2024.3. (JCR: Q1, IF: 8.8)
[9] Feng Zhao, Ke Lv, Shixin Ye, Xiaobo Chen, Hongyu Chen, Sizhe Fan, Ning Mao, Yande Ren. Integration of temporal & spatial properties of dynamic functional connectivity based on two-directional two-dimensional principal component analysis for disease analysis. PeerJ. 2024.2. (JCR: Q2, IF: 2.7)
[10] Na Li, Jinjie Xiao, Ning Mao, Dapeng Cheng, Xiaobo Chen, Yuan Li, Zhenghao Shi, Feng Zhao*. Joint learning of multi-level dynamic brain networks for autism spectrum disorder diagnosis. Computers in Biology and Medicine. 2024.1. (JCR: Q1, IF: 7.7)
[11] Feng Zhao, Fan Feng, Shixin Ye, Yanyan Mao, Xiaobo Chen, Yuan Li, Mao Ning, MingLi Zhang. Multi-head self-attention mechanism-based global feature learning model for ASD diagnosis. Biomedical Signal Processing and Control. 2024.1. (JCR: Q2, IF: 5.1)
[12] Feng Zhao, Shixin Ye, Mingli Zhang, Ke Lv, Xiaoyan Qiao, Yuan Li, Ning Mao, Yande Ren, Meiying Zhang. Multi-classifier fusion base on belief-value for the diagnosis of neuropsychiatric disorders. Frontiers in Human Neuroscience. 2023.10. (JCR: Q2, IF: 2.9)
[13] Feng Zhao, Jinyu Hao, Huanjia Zhang, Xiaoning Yu, Zhenzhen Yan, Fucun Wu. Quality Recognition Method of Oyster based on U-Net and Random Forest. Journal of Food Composition and Analysis. 2023.10. (JCR: Q2, IF: 4.3)
[14] Hongxin Pan, Yanyan Mao, Peiqiang Liu, Yuan Li, Guanglan Wei, Xiaoyan Qiao, Yande Ren, Feng Zhao*. Extracting transition features among brain states based on coarse-grained similarity measurement for autism spectrum disorder analysis. Medical Physics. 2023.03. (JCR: Q2, IF: 4.506)
[15] Feng Zhao, Tianyu Gao, Zhi Cao, Xiaobo Chen, Yanyan Mao, Ning Mao and Yande Ren. Identifying depression disorder using multi-view high-order brain function network derived from electroencephalography signal. Frontiers in Computational Neuroscience. 2022.10. (JCR: Q2, IF: 3.387)
[16] Feng Zhao, Hongxin Pan, Na Li, Xiaobo Chen, Yuan Li, Haicheng Zhang, Ning Mao and Yande Ren. High-Order Brain Functional Network Based on EEG for Diagnosis of Major Depressive Disorder. Frontiers in Neuroscience. 2022.08. (JCR: Q2, IF: 5.152)
[17] Feng Zhao, Yan Lu, Xinning Li, Lina Wang, Yingjie Song, Deming Fan, Caiming Zhang, Xiaobo Chen. Multiple Imputation Method of Missing Credit Risk Assessment Data Based on Generative Adversarial Networks. Applied Soft Computing. 2022.07. (JCR: Q1, IF: 8.263)
[18] Feng Zhao, Na Li, Hongxin Pan, Xiaobo Chen, Yuan Li, Haicheng Zhang, Ning Mao, Dapeng Cheng. Multi-view feature enhancement based on self-attention mechanism graph convolutional network for autism spectrum disorder diagnosis. Frontiers in Human Neuroscience. 2022.07. (JCR: Q2, IF: 3.473)
[19] Feng Zhao, Xinning Li, Yating Gao, Ying Li, Zhiquan Feng, Caiming Zhang. Multi-layer features ablation of BERT model and its application in stock trend prediction. Expert Systems with Applications. 2022.06. (JCR: Q1, IF: 8.665)
[20] Feng Zhao, Xiangfei Zhang, Kim-Han Thung, Ning Mao, Seong-Whan Lee, Dinggang Shen. Constructing Multi-view High-order Functional Connectivity Networks for Diagnosis of Autism Spectrum Disorder. IEEE Transactions on Biomedical Engineering. 2022. (JCR: Q1, IF: 4.538)
[21] Feng Zhao, Zhongwei Han, Dapeng Cheng, Ning Mao, Xiaobo Chen, Yuan Li, Deming Fan, Peiqiang Liu. Hierarchical Synchronization Estimation of Low- and High-Order Functional Connectivity Based on Sub-Network Division for the Diagnosis of Autism Spectrum Disorder. Frontiers in Neuroscience. 2022. (JCR: Q2, IF: 4.667)
[22] Xie Q, Zhang X, Rekik I, Chen X, Mao N, Shen D, Zhao Feng*. Constructing high-order functional connectivity network based on central moment features for diagnosis of autism spectrum disorder. PeerJ. 2021. (JCR: Q2, IF: 2.984)
[23] Feng Zhao, Yating Gao, Xinning Li, Zhiyong An, Shiyu Ge, Caiming Zhang. A similarity measurement for time series and its application to the stock market. Expert Systems with Applications. 2021. (JCR: Q1, IF: 4.954)
[24] Feng Zhao, Zhiyuan Chen, Islem Rekik, Peiqiang Liu, Ning Mao, Seong-Whan Lee, Dinggang Shen. A Novel Unit-Based Personalized Fingerprint Feature Selection Strategy for Dynamic Functional Connectivity Networks. Frontiers in Neuroscience. 2021. (JCR: Q2, IF: 4.667)
[25] Feng Zhao, Zhiyuan Chen, Islem Rekik, Seong-Whan Lee, Dinggang Shen. Diagnosis of autism spectrum disorder using central-moment features from low-and-high-order dynamic resting-state functional connectivity networks. Frontiers in Neuroscience. 2020. (JCR: Q2, IF: 4.667)
[26] Feng Zhao, Jiahui Zhang, Zhiyuan Chen, Xiaofeng Zhang, Qingsong Xie. Topic identification of text-based expert stock comments using multi-level information fusion. Expert Systems. 2020. (JCR: Q3, IF: 1.546)
[27] Feng Zhao, Islem Rekik, Seong-whan Lee, Jing Liu, Junying Zhang, Dinggang Shen. Two-Phase Incremental Kernel PCA for Learning Massive or Online Datasets. Complexity. 2019. (JCR: Q1, IF: 2.591)
[28] Feng Zhao, Han Zhang, Islem Rekik, Zhiyong An, Dinggang Shen. Diagnosis of Autism Spectrum Disorders Using Multi-Level High-Order Functional Networks Derived From Resting-State Functional MRI. Frontiers in Human Neuroscience. 2018. (JCR: Q3, IF: 2.871)
[29] Feng Zhao, Lishan Qiao, Feng Shi, PewThian Yap, Dinggang Shen. Feature fusion via hierarchical supervised local CCA for diagnosis of autism spectrum disorder. Brain Imaging and Behavior. 2017. (JCR: Q3, IF: 3.985)
[30] Feng Zhao, Yinling Yang, Ruichuan Ma, Da Yuan. Face recognition based on an new nonlinear feature fusion method. Journal of Information & Computational Science. 2015. (EI)
[31] Feng Zhao, Zhiyong An, Hailan Jiang. The effect evaluation of density estimation through Non-Gaussian Measurement. Applied Mathematics & Information Sciences. 2014. (SCI)
[32] 赵峰,刘淑娥,安志勇,李大社. 核方法与累积量随机学习方法研究. 电子工业出版社. 2010.05.
[33] 赵峰,张军英,刘敬. 一种改善支撑向量域描述性能的核优化算法. 自动化学报. 2008.9. (CCF A类)
*其他作者
[34] Xiaoyan Qiao, Ziqiong Xu, Xiaoning Yu, Feng Zhao, Zhiyong An. MDBTabNet: An enhanced TabNet with feature enhancement and biological consistency for intelligent abalone plumpness classification. Journal of Food Composition and Analysis. 2026.11. (JCR: Q1, IF: 5.3)
[35] Ji Ruan, Fucun Wu, Feng Zhao, Dapeng Cheng. Amodal segmentation for occlusion-aware instance recovery of juvenile abalone. Machine Vision and Applications. 2026.6. (JCR: Q3, IF: 2.0)
[36] Hongyu Chen, Dapeng Cheng, Jintao Wang, Feng Zhao. Autism Spectrum Disorder diagnosis using mamba-based analysis of dynamic functional connectivity state transition sequences. PeerJ Computer Science. 2026.4. (JCR: Q2, IF: 2.9)
[37] Benshuo Zhang, Dapeng Cheng, Zhipeng Liang, Xinhao Li, Feng Zhao, Zhiyong An. Container defect detection using enhanced YOLO with uncertainty-aware dynamic modulated convolution and parallelized patch-aware attention. PeerJ Computer Science. 2026.2. (JCR: Q2, IF: 2.9)
[38] Dapeng Cheng, Ji Ruan, Xinhao Li, Feng Zhao, Shoudu Zhang, Guofan Zhang, Fucun Wu. Context guided transformer enhanced YOLOv8 for accurate juvenile abalone detection and counting. Smart Agricultural Technology. 2025.12. (JCR: Q1, IF: 5.7)
[39] Qiao, X. Y., Liu, D. H., Xing, H., Zhao, F., & Cheng, D. P. NSC-Mamba: A hybrid model with adaptive temporal attention and state space dynamics for financial time series forecasting. Applied Soft Computing. 2026, 203, 116087.(JCR: Q1, IF: 7.5)

3. 知识产权

[1] 赵峰;宿子琦;张勇;韩皋竹;刘文义;付海金. 基于视频检测的公共场所能源智能控制方法及系统. 类型:发明专利,号码:202410880748.9, 时间:2025.08
[2] 程大鹏;朱铭徽;张勇;赵峰;付金海.一种基于可逆神经网络的图像隐藏方法及装置。类型:发明专利,号码:202411718476.9, 时间:2025.03
[3] 李元; 赵峰; 李希亮;袁细国;张国旺. 一种面向多模态神经信号的上下文语义协同建模方法. 类型:发明专利,号码:202410895302.3, 时间:2024.09
[4] 赵峰 ; 郝晋玉; 邓富文;王庆祝. 无人船声呐巡航探测系统. 类型:实用新型专利,号码:202322342503.4, 时间:2024.03
[5] 赵峰 ; 袁细国; 叶世鑫;李培勇;张国旺. 一种基于标签引导扩散模型的特征级虚拟多模态融合方法. 类型:发明专利,号码:202410471685.1, 时间:2024.07
[6] 李元 ; 赵峰; 任延德;毛宁;宋木松;陈小波. 小样本场景下融合多维信息的脑网络构建及特征提取方法. 类型:发明专利,号码:202410437716.1, 时间:2024.06
[7] 赵峰 ; 陈红瑜; 安志勇. 一种高阶动态功能连接网络的时序不变特征提取方法. 类型:发明专利,号码:201910528161.0, 时间:2023.03
[8] 赵峰 ; 王怀兴; 陈红玉;陈致远 .一种采用unity引擎构建三维五子棋棋盘模型的方法,类型:发明专利,号码:201811426850.2 ,时间:2022.10
[9] 赵峰 ; 张祥飞; 陈红瑜; 冯烟利; 谢青松. 基于聚类思想的多视角动态脑网络特征维度约减方法. 类型:发明专利,号码:202010186386.5, 时间:2020.06
[10] 赵峰 ; 陈致远; 刘培强; 葛诗煜.一种混合式快速高效图像压缩系统,类型:软件著作权,号码:2020SR1053525 ,时间:2020.04
[11] 赵峰 ; 陈致远; 刘培强. 基于图像边缘检测的贝类长度测量软件,类型:软件著作权,号码:2020SR0957953,时间:2019.09
[12] 山东工商学院;首都医科大学附属北京胸科医院.基于影像组学的颅咽管瘤尿崩预测系统V1.0类型:软件著作权,号码:2025SR0607402, 时间:2025.04
[13] 山东工商学院;首都医科大学附属北京胸科医院.基于EEG信号的MDD诊断系统[简称:MDD诊断系统】V1.0类型:软件著作权,号码:2025SR0607386, 时间:2025.04

4. 科研获奖

2024年全国煤炭行业教学成果奖特等奖(第二完成人)
2024年山东省人工智能学会教学成果奖二等奖(第一完成人)
2020年获山东高等学校优秀科研成果奖三等奖(第一完成人)
2010年获山东高等学校优秀科研成果奖二等奖(第一完成人)