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- 出生年：1991
- 教师拼音名称： guozhiwei
- 入职时间： 2018-07-01
- 所在单位： 人工智能学院（计算机科学与信息工程学院）
- 学历： 博士研究生毕业
- 性别： 男
- 学位： 工学博士学位
- 在职信息： 在岗
- 郭智威,章勤,Feng Ding,Xiaogang Zhu,Keping Yu.A Novel Fake News Detection Model for Context of Mixed Languages Through Multiscale Transformer:IEEE Transactions on Computational Social Systems,2024(1)
- 郭智威,申渝,Moayad Aloqaily,Yaser Jararweh,余恪平.Probabilistic inference-based modeling for sustainable environmental systems under hybrid cloud infrastructure:Simulation Modelling Practice and Theory,2021(202105)
- 郭智威,唐亮贵,郭坦,Keping Yu,Mamoun Alazab,Andrii Shalagin.Deep Graph neural network-based spammer detection under the perspective of heterogeneous cyberspace:Future Generation Computer Systems,2021(4)
- 郭智威,Keping Yu,Kostromitin Kon,Shahid Mumtaz,Wei Wei,Joel J. P. C. R.Deep Collaborative Intelligence-Driven Traffic Forecasting in Green Internet of Vehicles:IEEE Transactions on Green Communications and Networking,2023(2)
- 郭智威,Keping Yu,Alireza Jolfaei,Ali Kashif Bash,Alaa Omran Alam,Neeraj Kumar.Fuzzy Detection System for Rumors through Explainable Adaptive Learning:IEEE Transactions on Fuzzy Systems,2021(12)
- 郭智威,王恒.A Deep Graph Neural Network-based Mechanism for Social Recommendations:IEEE Transactions on Industrial Informatics,2021(4)
- 郭智威,Keping Yu,Neeraj Kumar,Wei Wei,Shahid Mumtaz,Mohsen Guizani.Deep-Distributed-Learning-Based POI Recommendation Under Mobile-Edge Networks:IEEE Internet of Things Journal,2023(1)
- 郭智威,孟滇,张会焱,王恒,Keping Yu.Enhancing Matrix Factorization-based Recommender Systems via Graph Neural Networks:19th IEEE International Symposium on Parallel and Distributed Processing with Applications,2021(1)
- 郭智威,申渝,Ali Kashif Bash,Muhammad Imran,Neeraj Kumar,张迪,Keping Yu.Robust Spammer Detection Using Collaborative Neural Network in Internet of Thing Applications:IEEE Internet of Things Journal,2021(12)
- 郭智威,Keping Yu,李余,Srivastava Gaut,Jerry Lin.Deep Learning-Embedded Social Internet of Things for Ambiguity-Aware Social Recommendations:IEEE Transactions on Network Science and Engineering,2022(3)
