Tao Tang

Physics-Informed Explainable Continual Learning on Graphs

2024 · IEEE Transactions on Neural Networks and Learning Systems

Temporal graph learning has attracted great attention with its ability to deal with dynamic graphs. Although current methods are reasonably accurate, most of them are unexplainable due to their black-box nature. It remains a challenge …

BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving

2025 · Proceedings of the AAAI Conference on Artificial Intelligence

The rapid development of the autonomous driving industry has led to a significant accumulation of autonomous driving data. Consequently, there comes a growing demand for retrieving data to provide specialized optimization. However, directly applying previous …

Foundation Models for Anomaly Detection: Vision and Challenges

2025 · AI Magazine

Abstract As data continues to grow in volume and complexity across domains such as finance, manufacturing, and healthcare, effective anomaly detection is essential for identifying irregular patterns that may signal critical issues. Recently, foundation models …