| 2026 | AAAI | 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 |
| 2026 | INFOCOM | 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 |
| 2025 | ECAI | DAMO: Dual-Attention with Multi-Objective Optimization for Explainable Autonomous Driving. | Chengtai Cao, Shenglin Wang, Xinhong Chen, Yung-Hui Li, Jianping Wang |
| 2025 | WWW | 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 |
| 2024 | AAAI | 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 |
| 2024 | IJCAI | SGDCL: Semantic-Guided Dynamic Correlation Learning for Explainable Autonomous Driving. | Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, Yung-Hui Li |
| 2021 | AAAI | Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay. | Fan Zhou, Chengtai Cao |
| 2020 | INFOCOM | Fast Network Alignment via Graph Meta-Learning. | Fan Zhou, Chengtai Cao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Ji Geng |
| 2019 | CIKM | Meta-GNN: On Few-shot Node Classification in Graph Meta-learning. | Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng |