Meta-GNN: On Few-shot Node Classification in Graph Meta-learning F Zhou, C Cao, K Zhang, G Trajcevski, T Zhong, J Geng ACM International Conference on Information and Knowledge Management (CIKM …, 2019 | 256 | 2019 |
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay F Zhou, C Cao Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 35 (5 …, 2021 | 136 | 2021 |
Fast Network Alignment via Graph Meta-learning F Zhou, C Cao, G Trajcevski, K Zhang, T Zhong, J Geng IEEE Conference on Computer Communications (INFOCOM), 686-695, 2020 | 34 | 2020 |
Learning Meta-knowledge for Few-shot Image Emotion Recognition F Zhou, C Cao, T Zhong, J Geng Expert Systems with Applications (ESWA) 168, 114274, 2021 | 26 | 2021 |
A survey of mix-based data augmentation: Taxonomy, methods, applications, and explainability C Cao, F Zhou, Y Dai, J Wang, K Zhang ACM Computing Surveys (CSUR) 57, 2024 | 25 | 2024 |
Trajectory-User Linking via Graph Neural Network F Zhou, S Chen, J Wu, C Cao, S Zhang IEEE International Conference on Communications (ICC), 1-6, 2021 | 12 | 2021 |
CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving C Cao, X Chen, J Wang, Q Song, R Tan, YH Li Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 38 (19 …, 2024 | 2 | 2024 |
Facing Anomalies Head-On: Network Traffic Anomaly Detection via Uncertainty-Inspired Inter-Sample Differences X Lian, C Cao, Y Liu, X Xu, YU ZHENG, F Zhou International World Wide Web Conference (WWW), 2025 | | 2025 |
SGDCL: Semantic-Guided Dynamic Correlation Learning for Explainable Autonomous Driving C Cao, X Chen, J Wang, Q Song, R Tan, YH Li Proceedings of the International Joint Conference on Artificial Intelligence …, 2024 | | 2024 |
基于元学习者的训练数据生成方法及因果效应异质反应差异估计方法 周帆, 曹丞泰, 钟婷, 徐增 CN Patent CN113,095,440 B, 2021 | | 2021 |
基于元学习的少样本图像情感分类方法 周帆, 曹丞泰, 钟婷, 王天亮 CN Patent CN112,613,556 B, 2021 | | 2021 |
基于元学习的图神经网络应用研究 曹丞泰 电子科技大学, 2021 | | 2021 |