Cong Liu

TGCAE: temporal graph convolutional autoencoder for robust anomaly detection in object-centric process mining

With the deep integration of machine learning and cybernetics technologies in business process management (BPM), robust anomaly detection in object-centric process mining is crucial for enhancing operational efficiency and quality within enterprises. Existing anomaly detection approaches predominantly rely on flattened...

Unsupervised 2D Image-Based 3D Model Retrieval via Decision Boundary Alignment and Graph Semantic Propagation

Unsupervised 2D image-based 3D model retrieval (IBMR) aims to retrieve semantically relevant 3D shapes for a given 2D image query when 3D annotations are unavailable. This setting is challenging due to severe modality gaps, category-imbalanced mini-batches, inconsistent cross-domain decision boundaries, and mismatched...

Prototype Retrieval-Augmented Federated Learning System for Robust Intrusion Detection