De Li

Differential Privacy Preservation in Adaptive K-Nets Clustering

Jinyan Wang, Xianxian Li, Xiaohong Liu, 2021, 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom).

A privacy preservation framework for feedforward-designed convolutional neural networks

Jinyan Wang, De Li, Yuhang Hu, 2022, Neural Networks.

Differential Privacy Preservation in Interpretable Feedforward-Designed Convolutional Neural Networks

Jinyan Wang, Xianxian Li, De Li, 2020, 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom).

Node Classification in Graph Neural Networks under Dual Consistency

De Li, Qiyu Li, Xianxian Li, 2023, 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI).

Optimizing Dynamic Cache Allocation in Vehicular Edge Networks: A Method Combining Multisource Data Prediction and Deep Reinforcement Learning

De Li, Bin Qu, Xianxian Li, 2024, IEEE Internet of Things Journal.

Contrastive learning of graphs under label noise

De Li, Qiyu Li, Xianxian Li, 2024, Neural Networks.