王金铭

个人简历
王金铭,硕士、教授、硕士生导师。男,1978年生,2002年获浙江大学工学学士学位,2005年获浙江大学工学硕士学位。现任浙江树人学院教务处副处长,曾获得浙江省高校青年教师计划重点资助对象。
参与国家自然科学基金项目2项,参与高校博士点科研基金1项,参与浙江省自然科学基金和浙江省科技厅项目多项,主持浙江省自然科学基金学术交流项目一项,获得浙江省科技进步二等奖一项。在《Information Sciences》《IEEE Transactions on Smart Grid》《Information Processing &Management》《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,担任《Information Processing &Management》编委,担任《Communication in Nonlinear Science and Numerical Simulation》等期刊审稿人,授权发明专利7项。
研究方向
图象信息处理、深度学习、半张量积等。
主要承担的教学课程
本科生课程:电路原理与实验
代表性学术成果
论文及专利:
[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 & Management62, 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 Applications249 (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 Applications238 (2024): 122240.
[8]Wang, Jinming, Zhenyu Xu, Zhangquan Wang, et al. Rapid compressed sensing reconstruction: A semi-tensor product approach[J].Information Sciences512 (2020): 693-707.
社会兼职
担任中科院SCI一区期刊《Information Processing &Management》编委
联系方式
Email:wjm7878@zjsru.edu.cn
微信
邮箱登录


