彭伟民 副教授 硕士生导师
计算机科学与技术
Data science, Data fusion, System decision, Quantum computation

pweimin@163.com
杭州电子科技大学下沙校区205


教师简介
发表论文
彭伟民，2000年获得井冈山大学学士学位，2013获得华南理工大学博士学位，2019年在曼彻斯特大学任职数据科学学术导师。现任杭州电子科技大学计算机科学系副教授，城市计算和大数据研究小组的成员。以一作身份在IEEE Intelligent Systems, Future Generation Computer Systems等发表了八篇高影响力论文。主持参加若干个国家和省级科研项目。他的研究方向包括数据融合、系统决策、量子符号和格子计算。

"1. Weimin Peng, Huifang Deng, Aihong Chen*, Using Hellinger and Bures metrics to construct two-dimensional quantum metric space for weather data fusion, Information Fusion, 2020, 55: 199-206
2. Weimin Peng*, Huifang Deng, Aihong Chen, Jing Chen, Using relative von Neumann and Shannon entropies for feature fusion, International Journal of Systems Science, 2019, 50 (11): 2189-2199
3. Weimin Peng*, Aihong Chen, Jing Chen, Haitao Xu, Lattice structure based metric for feature data fusion, International Journal of Systems Science, 2019, 50 (9): 1731-1741
4. Weimin Peng*, Aihong Chen, Jing Chen, Using General Master Equation for Feature Fusion, Future Generation Computer Systems, 2018, 82: 119-126
5. Weimin Peng*, Aihong Chen, Yong Sun, A quantum inspired feature fusion method based on maximum fidelity, IEEE Intelligent Systems, 2017, 32 (1): 80-87
6. Weimin Peng*, Aihong Chen, Zhaozhe Gong, Feature fusion based on Wootters metric, International Journal of Systems Science, 2016, 47 (14): 3487-3495
7. Weimin Peng*, Huifang Deng, Collision and Reaction Model of Feature Fusion: Mechanism and Realization, IEEE Intelligent Systems, 2015, 30 (5): 56-65
8. Weimin Peng, Huifang Deng*, Quantum Inspired Method of Feature Fusion Based on Von Neumann Entropy, Information Fusion, 2014, 18: 9-19"