浙江财经大学主页平台管理系统 Zhang Yongquan--Home--Home

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张永全，浙江财经大学教授，硕士生导师，毕业于西安交通大学，获得理学博士学位。现任浙江财经大学校学术委员会委员，CSIAM大数据与人工智能专业委员会委员。长期机器学习的前沿数学基础理论、分析方法及应用研究，具有应用数学和计算机的交叉学科背景，在大数据算法分析、深度学习、机器学习泛化性理论等方面取得了一系列具有一定影响力的科研成果。张永全教授已在IEEE Transactions on Knowledge and Data Engineering、 IEEE Transactions on Cybernetics、IEEE Transactions on Geoscience and Remote Sensing、中国科学等国内外学术期刊和国际会议发表学术论文40余篇，主持或参与国家级科研项目12项，省部级5项，横向课题5项等。部分研究成果“人工神经网络逼近复杂性问题研究”荣获2012年浙江省高等学校科研成果奖二等奖，部分研究成果“获得副省级领导肯定行批示等。

科研项目：

1.“关于正则化学习算法的泛化性及应用研究”（项目编号：Q12A010096），浙江省自然科学基金项目，2012.01-2014.12，主持。

2.“神经网络随机学习算法的泛化性研究”(项目编号：11301494)，国家自然科学基金青年项目，2014.01-2016.12，主持。

3.“大数据机器学习分布式算法的可行性理论”（项目编号：61573326），国家自然科学基金面上项目，2016.01-2020.01，主持。

4.“利用遥感和深度学习预测城乡经济发展水平”(项目编号：23SYS12ZD)，浙江省社科重大项目，2023.10-2026.09,主持。

5.“隐私计算中算法设计与通信的有效性研究”(项目编号：23YJA910007),教育部人文社会科学研究-规划基金项目,2023.10-2026.09,主持。

6.“人工智能驱动的医学图像统计增强”(项目编号：25TJYX09)，浙江省统计局统计研究课题，2025.08-2026.08，主持。

科研论文：

2025年：
1、张永全,陈元浩（学）,於豪祺（学）,Jingrong Dai,Bo Liu,Nannan Li,Changmiao Wang,Ahmed Elazab，Frequency-Domain Convolutional Network With Historical Data Fusion Module for Regional Streamflow Prediction，IEEE Transactions on Geoscience and Remote Sensing，2025，63:1-14.

2、张永全,陈鸿达,王智慧,Rahul Kumar,王昌淼，FedVC: Virtual Clients for Federated Autonomous Driving With Imbalanced Label Distribution，IEEE Transactions on Consumer Electronics,2025，71(2)：6253-6262.

3、陈诺（学）,张永全(通讯),樊晨晨（学）,赵威（学）,王昌淼,王海，DiffusionClusNet: Deep Clustering-Driven Diffusion Models for Ultrasound Image Enhancement，IEEE Transactions on Consumer Electronics，2025，71(1):1495-1503.

4、张永全,徐逸为（学）,许桃胜,Wang Changmiao,Li Chengdao,Wang hai，RSD-YOLO: An improved YOLOv7-tiny framework for oat disease severity identification with integration of ReXNet and decoupled head，Smart Agricultural Technology,2025.

5.ChangmiaoWang,Lijian Liu,樊晨晨,张永全(通讯),Zhijun Mai,Li Li,Zhou Liu,YuanTian,JiaHang Hu,Ahmed Elazab，Lung adenocarcinoma subtype classification based on contrastive learning model with multimodal integration，Scientific Reports，2025，15.

6、Chenchen Fan;Liya Liu;Yuxuan Wang;Danna Li;Qinghua Liang;Ahmed Elazab,张永全(通讯), Changmiao Wang.Deep Neural Network for Lung Adenocarcinoma Subtype from Multimodal Fusion of Imaging and Clinical Data,2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI), Houston, TX, USA, 2025, pp. 1-5, doi: 10.1109/ISBI60581.2025.10980792.

7、Chenchen Fan, Ahmed Elazab, Songqi Zhang, Yuxuan Wang, Qinghua Liang, Danna Li, 张永全(通讯), Ying Xiang, Bo Liu & Changmiao Wang，Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans. In: Gee, J.C., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2025. MICCAI 2025. Lecture Notes in Computer Science, vol 15974. Springer, Cham. https://doi.org/10.1007/978-3-032-05182-0_8.

8、Jiexin Pan, Haodong Chen, Chen Huang, Ziji Liang, Chen Fan, Wei Zhao,张永全, Xiang Wan, Changmiao Wang, Rong Hu, Li Zhang, Yi Jiang, Yiwen Liang & Xingzhi Li，Development and evaluation of USCnet: an AI-based model for preoperative prediction of infectious and non-infectious urolithiasis. World Journal of Urology 43, no. 1 (2025): 141. https://doi.org/10.1007/s00345-025-05492-w.

9、Liu, Shijie, Chenqi Luo, Kang Yan, Feiwei Qin, Ruiquan Ge, Yong Peng, Jie Huang, Nenggan Zheng, 张永全,Changmiao Wang. LA‐YOLO: Location Refinement and Adjacent Feature Fusion‐Based Infrared Small Target Detection.CAAI Transactions on Intelligence Technology 10, no.6 (2025):1893-1903.https://doi.org/10.1049/cit2.

10、Zichen Huang,Liya Liu,Chenxin Di,Jingwen Chen,Qiwei Yang,Yaoqun Liu,张永全(通讯), Changmiao Wang.ICH-PFNet: Prompt-Free Intracerebral Hemorrhage Segmentation via Convolutional Sparse Embeddings and Contrastive Semantic Consistency, 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Wuhan, China, 2025, pp. 1700-1704, doi: 10.1109/BIBM66473.2025.11356505.

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Research Project

[1]人工智能驱动的医学图像统计增强，进行，2025年度浙江省统计科学研究项目优选项目，Zhang Yongquan,陈诺,Bi Yanzhi,胡念强

[2]隐私计算中算法设计与通信的有效性研究，进行，2023年教育部人文社科一般规划项目，Zhang Yongquan,Ding Chengcheng,Zhou ZhengHua,程一元,张宇权

[3]利用遥感和深度学习预测城乡经济发展水平，进行，2023年度浙江省哲学社会科学规划研究方法创新重大专项课题，Zhang Yongquan,Wushaohua,Zhou ZhengHua,chengmin,Li Qun

[4]恒生聚源众包平台数据服务项目，进行，Zhang Yongquan,刘一鸣,姬翔宇,徐笳皓,孙建永,康向南,顾文斌,张琦,赵威,袁归,程一元,张旭

[5]恒生聚源金融数据文本抽取自动化项目，进行，Zhang Yongquan,杨银秀,王旭东,曹昊,孙建永,康向南,顾文斌,张宇权,齐少春,孙志福,程一元,张旭

[6]恒生聚源金融数据分析处理项目，进行，Zhang Yongquan,张学成,张旭,程一元,李春忠,张宇权,齐少春,孙建永,曹昊,JiJiaobing,Lin Zhenhong

PapersMORE

[1]樊晨晨,张永全,Liu Liya,王宇轩,梁清华,李丹娜,王昌淼,AhmedElazab. Deep Neural Network for Lung Adenocarcinoma Subtype from Multimodal Fusion of Imaging and Clinical Data，2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)：2025-01-01 【Attachment】

[2]樊晨晨(研究生),Ahmed Elazab,张宋琪,王宇轩,梁清华,李丹娜,项莹,王昌淼,张永全(通讯作者). Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scan，Medical Image Computing and Computer Assisted Intervention – MICCAI 2025，LNCS,volum：2025-01-01 【Attachment】

[3]Shijie Liu,Chenqi Luo,Kang Yan,Feiwei Qin,Ruiquan Ge,ong Peng,ie Huang,Nenggan Zheng,Zhang Yongquan,Changmiao Wang. LA-YOLO: Location Refinement and Adjacent Feature Fusion-Based Infrared Small Target Detection，CAAI Transactions on Intelligence Technology，1-11：2025-10-07

[4]Zhang Yongquan,徐逸为,许桃胜,Wang Changmiao,Li Chengdao,Wang hai. RSD-YOLO: An improved YOLOv7-tiny framework for oat disease severity identification with integration of ReXNet and decoupled head，SMART AGRICULTURAL TECHNOLOGY，12：2025-12-01

[5]Xiaodong Zhang,Dezhi Cao,Zhang Yongquan,Changmiao Wang,Lin Li,Fengjun Zhu,Yang Sun,Tong Mo,Qingmao Hu,Jinping Xu. Focal cortical dysplasia lesion segmentation using multiscale transformer，Insights into Imaging，15（1）：2024-09-12

[6]ChangmiaoWang,Ahmed Elazab,Lijian Liu,樊晨晨,Zhang Yongquan,Zhijun Mai,Li Li,Zhou Liu,YuanTian,JiaHang Hu. Lung adenocarcinoma subtype classification based on contrastive learning model with multimodal integration，Scientific Reports，15（1）：2025-08-19

[7]Zhang Yongquan,陈元浩,於豪祺,Jingrong Dai,Bo Liu,Nannan Li,Changmiao Wang,Ahmed Elazab. Frequency-Domain Convolutional Network With Historical Data Fusion Module for Regional Streamflow Prediction，IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING，63:1-14：2025-10-11

[8]Zhang Yongquan,陈鸿达,王智慧,Rahul Kumar,王昌淼. FedVC: Virtual Clients for Federated Autonomous Driving With Imbalanced Label Distribution，IEEE Transactions on Consumer Electronics，71（2）：6253-6262：2025-05-01

[9]陈诺,Zhang Yongquan,樊晨晨,赵威,王昌淼,王海. DiffusionClusNet: Deep Clustering-Driven Diffusion Models for Ultrasound Image Enhancement，IEEE TRANSACTIONS ON CONSUMER ELECTRONICS,，71(1):1495-1503：2025-02-01

[10]Kong, Qingming,Sun, Jianyong,Zhang Yongquan,Xu, Zongben. Probabilistic Matrix Factorization for Data With Attributes Based on Finite Mixture Modeling，IEEE TRANSACTIONS ON CYBERNETICS，54(2):1154-1166：2024-02-01

Patents

[1]Zhang Yongquan,尿路结石感染性的术前分析方法、分析系统及相关设备,2024-05-29

Teaching

[1]基于数据隐私计算及保护的师资培训项目，省级，产学合作协同育人项目，2023，已结项

CoursesMORE

[1]大数据分析方法及应用

[2]机器学习

[3]高等代数(2)

[4]高等代数（1）

[5]线性代数

[6]机器学习算法

[7]机器学习及其应用

[8]微积分（1）

[9]大数据算法分析

[10]数据挖掘基础