[1] 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.

[2] 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. 

[3] 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.  

[4] 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.

[5] 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.    

[6] 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.   

    *第一或通讯     

[1] 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. (Accepted) (JCR: Q1, IF: 8.8)  

[2] 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. (Accepted) (JCR: Q2, IF: 2.7)  

[3] 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)  

[4] 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)  

[5] 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)  

[6] 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)  

[7] 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)    

[8] 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）    

[9] 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）    

[10] 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）    

[11] 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）    

[12] 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）    

[13] 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）  

[14] 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）

[15] Xie Q, Zhang X, Rekik I, Chen X, Mao N, Shen D, Zhao F*.Constructing high-order functional connectivity network based on central moment features for diagnosis of autism spectrum disorder. PeerJ , 2021.（JCR:Q2, IF: 2.984）

[16] 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: 6.954）

[17] 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）

[18] 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）

[19] 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）    

[20] 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）    

[21] 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）   

[22] 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）

[23] 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）

[24] Feng Zhao, Zhiyong An，Hailan Jiang. The effect evaluation of density estimation through Non-Gaussian Measurement.  Applied Mathematics & Information Sciences, 2014.（SCI）

[25] 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.    

[26] 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    

[27] Mengyang Liu, Mingyan Xu, Wen Jiang, Feng Zhao，Yan Jiang，Yong Zhang. Multi-layer Feature Fusion Method Based on Convolutional Neural Network for Stock Trend Forecasting[C]. The 3rd International Conference on Big Data Economy and Digital Management(BDEDM 2024),2024. (Accepted) 

[28] Mingyan Xu, Hongyu Chen, Fuwen Deng, Yuan Liu, Feng Zhao, Yong Zhang. Practical Applications of ChatGPT and BERT: Long Text Summarization and Model Feature Ablation Study for Stock Comment Topic Identification[C]. 2024 Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence(DEAI2024),2024. (Accepted) 

[29] Bo Li, Qi Wang, Yuan Yu, Meng-Ze Sun, Liang-Xia Chen, Zhong-Liang Xiang, Feng Zhao, Qing-Cong Lv, Zhi-Yong An.A novel risk-control model for the online portfolio selection of high-frequency transactions. Knowledge-Based Systems,2022.(JCR:Q1,IF:8.038)

[30] Yuna Li, Tongpeng Chu, Kaili Che, Fanghui Dong, Yinghong Shi, Heng Ma, Feng Zhao, Ning Mao, Haizhu Xie. Abnormalities of cortical   structures in patients with postpartum depression: A surface-based morphometry study. Behavioural Brain Research, 2021. (JCR: Q2, IF:3.332)

[31] Yuna Li, Tongpeng Chu, Kaili Che, Fanghui Dong, Yinghong Shi, Heng Ma, Feng Zhao, Ning Mao, Haizhu Xie. Altered gray matter structural  covariance networks in postpartum depression: a graph theoretical analysis. Journal of Affective Disorders, 2021. (JCR: Q1，IF:4.839)

[32] Tongpeng Chu, Yuna Li, Kaili Che, Fanghui Dong, Heng Ma, Yinghong Shi, Peiyou Gong, Feng Zhao, Xicheng Song, Haizhu Xie, Ning Mao.     Pregnancy leads to changes in the brain functional network: a connectome analysis. Brain Imaging and Behavior. 2021. (JCR: Q3，IF:3.978)    

[33] Yuan Li, Zhijun Yao, Yongqing Yang, Feng Zhao, Yu Fu, Ying Zou, Bin Hu. A Study on PHF-Tau Network Effected by Apolipoprotein E4. American Journal of Alzheimer’s Disease & Other Dementias, 2020. (JCR: Q4, IF:2.035)

[34] Xiaofeng Zhang, Yujuan Sun, Hui Liu, Zhongjun Hou, Feng Zhao, Caiming Zhang. Improved clustering algorithms for image segmentation based on non-local information and back projection. Information Sciences, 2021. (JCR: Q1，IF:6.795)

[35] Dapeng Cheng, Nuan Qiu, Feng Zhao , Yanyan Mao, Chengnuo Li. Research on the Modality Transfer Method of Brain Imaging Based on  Generative Adversarial Network. Frontiers in Neuroscience, 2021. (JCR: Q2，IF:4.677)

[36] 张加惠,陈致远,赵峰,安志勇,谢青松. 基于深层融合的股票文本主题识别. 计算机科学 , 2019. （中文核心）

[37] Bo Li, Xiao Liu, Wen-Juan Wang, Feng Zhao , Zhi-Yong An, Hai Zhao. (2018). Metanetwork Transmission Model for Predicting a Malaria-  Control Strategy. Frontiers in Genetics, 2018. (JCR: Q2，IF: 4.151)    

[1] 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

[2] 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

[3] 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

[4] 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

[5] 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

科研获奖

     [1] 2020年获山东高等学校优秀科研成果奖三等奖（第一完成人）

     [2] 2010年获山东高等学校优秀科研成果奖二等奖（第一完成人）