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WWW 2025 Facing Anomalies Head-On: Network Traffic Anomaly Detection via Uncertainty-Inspired Inter-Sample Differences
Xinglin Lian, Chengtai Cao, Yan Liu, Xovee Xu, Yu Zheng, Fan Zhou
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CSUR 2024 A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao, Fan Zhou, Yurou Dai, Jianping Wang, and Kunpeng Zhang
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IJCAI 2024 SGDCL: Semantic-Guided Dynamic Correlation Learning for Explainable Autonomous Driving
Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, and Yung-Hui Li
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AAAI 2024 CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving
Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, and Yung-Hui Li
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AAAI 2021 Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
Fan Zhou and Chengtai Cao* (Corresponding Author)
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ESWA 2021 Learning Meta-Knowledge for Few-shot Image Emotion Recognition
Fan, Zhou, Chengtai Cao, Ting Zhong, and Ji Geng
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ICC 2021 Trajectory-User Linking via Graph Neural Network
Fan Zhou, Shupei Chen, Jin Wu, Chengtai Cao, and Shengming Zhang
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Master Thesis Application of Graph Neural Network Base on Meta-learning (基于元学习的图神经网络应用研究)
Chengtai Cao
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INFOCOM 2020 Fast Network Alignment via Graph Meta-learning
Fan Zhou, Chengtai Cao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, and Ji Geng
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CIKM 2019 Meta-GNN: on Few-shot Node Classification in Graph Meta-Learning
Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, and Ji Geng
