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2020 – today
- 2023
[j3]Tao Sheng, Chengchao Shen
, Yuan Liu, Yeyu Ou, Zhe Qu, Yixiong Liang, Jianxin Wang:
Modeling global distribution for federated learning with label distribution skew. Pattern Recognit. 143: 109724 (2023)- 2022
- [j2]Shiwen He, Jian Song, Yeyu Ou, Yuanhong Yuan, Xiaojie Zhang, Xiaohua Xu:
GARD: Gender difference analysis and recognition based on machine learning. Array 14: 100140 (2022) - [c1]Shiwen He, Yeyu Ou, Liangpeng Wang, Hang Zhan, Peng Ren, Yongming Huang:
Representation Learning of Knowledge Graph for Wireless Communication Networks. GLOBECOM 2022: 1338-1343 - [i3]Shiwen He, Yeyu Ou, Liangpeng Wang, Hang Zhan, Peng Ren, Yongming Huang:
Representation Learning of Knowledge Graph for Wireless Communication Networks. CoRR abs/2208.10496 (2022) - [i2]Tao Sheng, Chengchao Shen, Yuan Liu, Yeyu Ou, Zhe Qu, Jianxin Wang:
Modeling Global Distribution for Federated Learning with Label Distribution Skew. CoRR abs/2212.08883 (2022) - 2021
- [j1]Shiwen He, Shaowen Xiong, Yeyu Ou, Jian Zhang, Jiaheng Wang, Yongming Huang, Yaoxue Zhang:
An Overview on the Application of Graph Neural Networks in Wireless Networks. IEEE Open J. Commun. Soc. 2: 2547-2565 (2021) - [i1]Shiwen He, Shaowen Xiong, Yeyu Ou, Jian Zhang, Jiaheng Wang, Yongming Huang, Yaoxue Zhang:
An Overview on the Application of Graph Neural Networks in Wireless Networks. CoRR abs/2107.03029 (2021)
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