Chengtai Cao

According to our database, Chengtai Cao authored at least 15 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Decompose to Understand, Fuse to Detect: Frequency-Decoupled Anomaly Detection for Encrypted Network Traffic.

Xinglin Lian, Chengtai Cao, Ting Zhong, Yong Wang, Kai Chen, Fan Zhou

CoRR, May, 2026

Shattering Weak Facades: Trustworthy Detection of Encrypted Malicious Traffic via Uncertainty-Aware Fusion.

Meihui Zhong, Chengtai Cao, Wenxin Tai, Fan Zhou

IEEE Trans. Dependable Secur. Comput., 2026

Continuous Vision-Language-Action Co-Learning with Semantic-Physical Alignment for Behavioral Cloning.

Xiuxiu Qi, Yu Yang, Jiannong Cao, Luyao Bai, Chongshan Fan, Chengtai Cao, Hongpeng Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability.

Chengtai Cao, Fan Zhou, Yurou Dai, Jianping Wang, Kunpeng Zhang

ACM Comput. Surv., February, 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

Proceedings of the ACM on Web Conference 2025, 2025

DAMO: Dual-Attention with Multi-Objective Optimization for Explainable Autonomous Driving.

Chengtai Cao, Shenglin Wang, Xinhong Chen, Yung-Hui Li, Jianping Wang

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

SGDCL: Semantic-Guided Dynamic Correlation Learning for Explainable Autonomous Driving.

Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, Yung-Hui Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving.

Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, Yung-Hui Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability.

Chengtai Cao, Fan Zhou, Yurou Dai, Jianping Wang

CoRR, 2022

2021

Learning meta-knowledge for few-shot image emotion recognition.

Fan Zhou, Chengtai Cao, Ting Zhong, Ji Geng

Expert Syst. Appl., 2021

Trajectory-User Linking via Graph Neural Network.

Fan Zhou, Shupei Chen, Jin Wu, Chengtai Cao, Shengming Zhang

Proceedings of the ICC 2021, 2021

Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay.

Fan Zhou, Chengtai Cao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Continual Graph Learning.

Fan Zhou, Chengtai Cao, Ting Zhong, Kunpeng Zhang, Goce Trajcevski, Ji Geng

CoRR, 2020

Fast Network Alignment via Graph Meta-Learning.

Fan Zhou, Chengtai Cao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Ji Geng

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019

Meta-GNN: On Few-shot Node Classification in Graph Meta-learning.

Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019