导师信息

王金铭

发布日期:2025-10-10

点击量:

职务 电话
邮箱


姓名:王金铭,性别:男

学科专业:电子信息

招生专业方向:通信工程

学历及学位:研究生、硕士

职称:教授

职务:教务处副处

联系方式(邮箱)wjm7878@zjsru.edu.cn

研究方向

图像信息处理、人工智能、深度学习

主要科研项目:

[1]国家自然科学基金面上项目,《面向非对齐数据的低秩张量恢复模型及其快速算法研究》(62475241),参与。

近年来在异常行为检测、医学图像检测等方面进行了前期研究,取得了丰硕的研究成果,以第一作者或通讯作者身份,已经在《Information Sciences》《IEEE Transactions on Smart Grid》《Information Processing &Management》《Engineering Applications of Artificial Intelligence》《电子学报》、《中国图象图形学报》等国内外期刊发表SCI/EI论文30余篇。

近期代表性论文及成果:

[1] Fangfang Ye, Congcong Liu, Jinming Wang*,et al. Kidney stone and tumor segmentation by analyzing medical images using deep learning technique[J].Engineering Applications of Artificial Intelligence, 160(2025):111878.

[2] Fangfang Ye, Jinming Wang*, Ting Wang, Congcong Liu, et al. A hybrid fusion approach combining salience perception and generative adversarial networks for multimodal medical image integration[J]. Biomedical Signal Processing and Control ,110(2025):108127

[3] Ye, Han, Jinming Wang, and Fangfang Ye*. K-fold matching model for crowd behavioral anomaly detection from discontinuous inputs[J]. Expert Systems with Applications (2024): 125504.

[4] Ye, Fangfang, Jinming Wang*, and Congcong Liu. Misshaped boundary classifier model for license plate detection in haze weather using entropy CNN[J]. Information Sciences (2024): 121530.

[5] Wu, Yangkai, Luhua Qiu, Jinming Wang*, et al. The use of convolutional neural networks for abnormal behavior recognition in crowd scenes[J]. Information Processing & Management 62, no. 1 (2025): 103880.

[6] Xu, Zhenyu, Jinming Wang*, Fengjun Hu, et al. Improved camouflaged detection in the large-scale images and videos with minimum boundary contrast in detection technique[J]. Expert Systems with Applications 249 (2024): 123558.

[7] Wang, Jinming, Fengjun Hu, Ghulam Abbas, et al. Enhancing image categorization with the quantized object recognition model in surveillance systems[J]. Expert Systems with Applications 238 (2024): 122240.

[8] Wang, Jinming, Zhenyu Xu, Zhangquan Wang, et al. Rapid compressed sensing reconstruction: A semi-tensor product approach[J]. Information Sciences 512 (2020): 693-707.

个人荣誉及获奖:

担任《Information Processing & Management》(SCI一区TOP)编委,担任《Communication in Nonlinear Science and Numerical Simulation》、《Engineering Applications of Artificial Intelligence》等期刊审稿人,授权发明专利7件。获得浙江省科技进步二等奖一项。获得浙江省高校青年教师计划重点资助对象。



咨询电话

0571-88297033

杭州校区地址:浙江省杭州市拱墅区树人街8号

绍兴校区地址:浙江省绍兴市柯桥区江夏路2016号

版权所有:Copyright © 2020浙江树人学院研究生招生信息网