吴佳骏，湖南怀化人，2017年6月于北京航空航天大学电子信息工程学院获学士学位。同年9月免试进入北航电子信息工程学院直接攻读博士学位。主要研究方向为移动人工智能，无线边缘缓存。
Wu Jiajun received his B. Eng degree in School of Electronics and Information Engineering from Beihang University (BUAA), Beijing, China in 2017. He is now pursuing Ph.D degree in School of Electronics and Information Engineering from BUAA. His research interests include Mobile IA, wireless caching
Jiajun Wu, Chenyang Yang and Binqiang Chen, “Proactive Caching and Bandwidth Allocation in Heterogeneous Networks by Learning from Historical Numbers of Requests.” IEEE Trans. Commun., vol. 68, no. 7, pp. 4394-4410, July 2020.
Jiajun Wu, Chengjian Sun and Chenyang Yang, “Resource Allocation for URLLC with Parameter Generation Network,” J. Commun. Inf. Netw., accepted, 2023.
Jiajun Wu, Chengjian Sun and Chenyang Yang, “Size Generalization for Resource Allocation with Graph Neural Networks,” Sci. China Inf. Sci., minor revision.
Chengjian Sun, Jiajun Wu and Chenyang Yang, “Improving Learning Efficiency for Wireless Resource Allocation with Symmetric Prior,” IEEE Wireless Commun., vol. 29, no. 2, pp. 162–168, April 2022
Jiajun Wu and Chenyang Yang, “Why Simple Models Perform Well in Predicting Popularity for Caching?” APCC, 2019.
Jiajun Wu, Binqiang Chen , Chenyang Yang and Qi Li, “Caching and Bandwidth Allocation Policy Optimization in Heterogeneous Networks, ” IEEE PIMRC 2017
Baichuan Zhao, Yang Ma, Jiajun Wu and Chenyang Yang, “Learning Precoding Policy with Inductive Biases: Graph Neural Networks or Meta-learning?”, IEEE GLOBECOM 2023.
Ruiming Wang, Jiajun Wu and Chenyang Yang,“Proactive Hybrid Precoding for Time-varying mmWave Channel with Deep Learning,” IEEE VTC-Spring 2023.
吴佳骏，孙乘坚，杨晨阳，王坚，李榕，神经网络的构建方法和装置 [P]，申请号202111271593.1。
吴佳骏，孙乘坚，杨晨阳，王坚，李榕，一种数据处理方法及相关装置 [P]，申请号 202210336391.9。
