徐政伟

发布时间：2023-09-04浏览次数：287

$说明:\\Mac\Home\Documents\其它\我\个人信息\照片\Zhengwei_Xu.jpg$ 徐政伟，男，1994年3月生，计算机与信息工程学院讲师、博士、硕士生导师。研究方向包括：辐射源个体识别、故障诊断、深度学习、垂直大模型等。参与了国家自然科学基金、国家重点实验室开放基金、173-基础加强计划重点基础研究项目等10多项课题。在《IEEE Transactions on Industrial Informatics》,《IEEE Transactions on Instrumentation and Measurement》,《IEEE Transactions on Network and Service Management》等著名国际学术刊物及会议发表论文10余篇。近年来一直担任《IEEE Internet of Things Journal》，《IEEE Transactions on Industrial Informatics》等10余种学术期刊和学术会议的论文评审专家。

电子邮件：xuzhengweihhu@htu.edu.cn

个人简历:

2023.06 - 2023.06		计算机与信息工程学院
2019.09 - 2023.06	河海大学	计算机科学与技术/博士
2016.09 - 2019.06		计算机科学与技术/硕士
2016.09 - 2019.06	中国科学院软件研究所	联合培养
2012.09 - 2016.06	安徽师范大学	计算机科学与技术/学士

研究方向：辐射源个体识别、故障诊断、深度学习、垂直大模型

科研成果与奖励：

[1] 2023年获得河海大学优秀毕业生称号

[2] 2022年获得博士研究生国家/一等奖学金

科研项目：

[1] 2021.09 - 2024.09，面向目标空域的电磁环境基准模型迁移，173-基础加强计划重点基础研究项目，参研（技术主要负责人）

[2] 2020.07 - 2023.06，基于水声传感网的流体目标边界追踪与自适应运动建模机制研究，江苏省自然科学基金-青年基金项目，参研

[3] 2020.01 - 2021.12，基于工业物联网的智能产线实时故障诊断关键技术研究及应用，声场声信息国家重点实验室开放基金，参研

[4] 2018.01 - 2019.12，“全能型”乡镇供电所业务融合及数据集成研究与应用，国家电网公司科技项目，参研（技术主要负责人）

[5] 2019.02 - 2019.12，大工业用户储能系统应用潜力及业务模式研究，国网（苏州）城市能源研究院自立项目，参研（技术主要负责人）

[6] 2016.09 - 2017.06，三维场景辐射仿真计算优化技术研究及验证，国家自然科学基金，参研

部分论文：

[1]Zhengwei Xu, Guangjie Han, Hongbo Zhu, Li Liu. A Lightweight Specific Emitter Identification Model for IIoT Devices Based on Adaptive Broad Learning. IEEE Transactions on Industrial Informatics, 2022, doi: 10.1109/TII.2022.3206309. (JCR, Q1, IF:11.648)

[2]Zhengwei Xu, Guangjie Han, Hongbo Zhu, Li Liu, Mohsen Guizani. Adaptive DE Algorithm for Novel Energy Control Framework Based on Edge Computing in IIoT Applications. IEEE Transactions on Industrial Informatics, vol. 17, no. 7, pp. 5118-5127, July 2021. (JCR, Q1, IF:11.648)

[3]Zhengwei Xu, Guangjie Han, Li Liu, Miguel Martínez-García, Zhijian Wang. Multi-energy Scheduling of an Industrial Integrated Energy System by Reinforcement Learning Based Differential Evolution. IEEE Transactions on Green Communications and Networking, vol. 5, no. 3, pp. 1077-1090, Sept. 2021. (JCR, Q2, IF:3.525)

[4]Zhengwei Xu, Guangjie Han, Chuanliang Cheng, Li Liu. A Novel Clustering Based on Consensus Knowledge for Cross-Domain Fault Diagnoses. IEEE Transactions on Instrumentation and Measurement, 2023, doi: 10.1109/TIM.2023.3250258. (JCR, Q1, IF:5.332)

[5].Guangjie Han,,Zhengwei Xu, Hongbo Zhu, Yunlu. Ge and Jinlin. Peng, A Two-Stage Model Based on a Complex-Valued Separate Residual Network for Cross-Domain IIoT Devices Identification, IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2023.3296871.

[6].Guangjie Han,Zhengwei Xu, Chuanliang Cheng, Hongbo Zhu. Fault Diagnosis in Industrial Control Networks Using Transferability-measured Adversarial Adaptation Network. IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2022.3225428. (JCR, Q1, IF:4.758)

[7].Zhengwei Xu, Xiaodong Wang, Congpin Zhang, Changmao Wu. Parallel Implementation and Optimizations of Visibility Computing of 3D Scene on Tianhe-2 Supercomputer. International Conference on Algorithms and Architectures for Parallel Processing, Springer, Cham, 2018: 168-183. (CCF-C, EI)

[8] Li Liu, Guangjie Han,Zhengwei Xu, Jinfang Jiang, Lei Shu, Miguel Martinez-Garcia. Boundary Tracking of Continuous Objects Based on Binary Tree Structured SVM for Industrial Wireless Sensor Networks. IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2020.3019393. (CCF-A, JCR, Q1, IF: 6.567)

[9] Li Liu, Guangjie Han,Zhengwei Xu, Lei Shu, Miguel Martinez-Garcia, Bao Peng. Predictive Boundary Tracking based on Motion Behavior Learning for Continuous Objects in Industrial Wireless Sensor Networks. IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2021.3049220. (CCF-A, JCR, Q1, IF: 6.567)

[10] Congpin. Zhang, Li. Liu, Yijia. Wu,Zhengwei Xuand Changmao. Wu, Continuous Objects Tracking Based on Geometric Centroid of Feasible Region in USV-Assisted Underwater Acoustic Sensor Networks, IEEE Internet of Things Journal, doi: 10.1109/JIOT.2023.3308516.