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2020 – today
- 2024
[j4]Dingyang Lv
, Zhengjia Xu, Jinghui Zhang, Yuchen Wang, Fang Dong:
Imbalanced node classification with Graph Neural Networks: A unified approach leveraging homophily and label information. Appl. Soft Comput. 149(Part A): 110985 (2024)- [c2]Jinghui Zhang, Zhengjia Xu, Dingyang Lv, Zhan Shi, Dian Shen, Jiahui Jin, Fang Dong:
DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph. AAAI 2024: 9323-9331 - 2023
- [j3]Jinghui Zhang, Yizhou Tang, Jiawei Wang, Dingyang Lv, Liqun Zhu, Fang Dong:
Simulation-based joint user assignment and edge resource allocation optimization for hybrid tasks in vehicular edge computing. Simul. Model. Pract. Theory 128: 102810 (2023) - [j2]Jinghui Zhang, Weilong Xin, Dingyang Lv, Jiawei Wang, Guangxing Cai, Fang Dong:
Multi-exit DNN inference acceleration for intelligent terminal with heterogeneous processors. Sustain. Comput. Informatics Syst. 40: 100906 (2023) - [j1]Jinghui Zhang, Dingyang Lv, Qiangsheng Dai, Fa Xin, Fang Dong:
Noise-aware Local Model Training Mechanism for Federated Learning. ACM Trans. Intell. Syst. Technol. 14(4): 65:1-65:22 (2023) - 2021
- [c1]Dingyang Lv, Xinyu Cheng, Jinghui Zhang, Wei Zhang, Wei Zhao, He Xu:
DDoS Attack Detection Based on CNN and Federated Learning. CBD 2021: 236-241
Coauthor Index
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