徐政偉,,男,,1994年3月生,計算機與信息工程學院講師,、博士,、碩士生導師,。研究方向包括:輻射源個體識別、故障診斷,、深度學習,、垂直大模型等。參與了國家自然科學基金,、國家重點實驗室開放基金、173-基礎加強計劃重點基礎研究項目等10多項課題,。在《IEEE Transactions on Industrial Informatics》,《IEEE Transactions on Instrumentation and Measurement》,《IEEE Transactions on Network and Service Management》等著名國際學術刊物及會議發(fā)表論文10余篇,。近年來一直擔任《IEEE Internet of Things Journal》,《IEEE Transactions on Industrial Informatics》等10余種學術期刊和學術會議的論文評審專家,。
電子郵件:[email protected]
個人簡歷:
2023.06 - 2023.06 | 河南師范大學 | 計算機與信息工程學院 |
2019.09 - 2023.06 | 河海大學 | 計算機科學與技術 / 博士 |
2016.09 - 2019.06 | 河南師范大學 | 計算機科學與技術 / 碩士 |
中國科學院軟件研究所 | 聯合培養(yǎng) | |
2012.09 - 2016.06 | 安徽師范大學 | 計算機科學與技術 / 學士 |
研究方向:輻射源個體識別,、故障診斷、深度學習,、垂直大模型
科研成果與獎勵:
[1] 2023年獲得河海大學優(yōu)秀畢業(yè)生稱號
[2] 2022年獲得博士研究生國家/一等獎學金
科研項目:
[1] 2021.09 - 2024.09,,面向目標空域的電磁環(huán)境基準模型遷移,173-基礎加強計劃重點基礎研究項目,,參研(技術主要負責人)
[2] 2020.07 - 2023.06,,基于水聲傳感網的流體目標邊界追蹤與自適應運動建模機制研究,江蘇省自然科學基金-青年基金項目,,參研
[3] 2020.01 - 2021.12,,基于工業(yè)物聯網的智能產線實時故障診斷關鍵技術研究及應用,聲場聲信息國家重點實驗室開放基金,,參研
[4] 2018.01 - 2019.12,,“全能型”鄉(xiāng)鎮(zhèn)供電所業(yè)務融合及數據集成研究與應用,國家電網公司科技項目,,參研(技術主要負責人)
[5] 2019.02 - 2019.12,,大工業(yè)用戶儲能系統(tǒng)應用潛力及業(yè)務模式研究,國網(蘇州)城市能源研究院自立項目,,參研(技術主要負責人)
[6] 2016.09 - 2017.06,,三維場景輻射仿真計算優(yōu)化技術研究及驗證,國家自然科學基金,,參研
部分論文:
[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 Xu and 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.