205 citations · 282 across the 7 of their papers we have counts for
7 papers
Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics
Yu Zhang, Yongxiang Zou, Haoyu Zhang +3
In the field of autonomous systems, accurately predicting the trajectories of nearby vehicles and pedestrians is crucial for ensuring both safety and operational efficiency. This p…
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context
Moyu Zhang, Yongxiang Tang, Jinxin Hu +1
Existing methods often adjust representations adaptively only after aggregating user behavior sequences. This coarse-grained approach to re-weighting the entire user sequence hampe…
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion
Yanbin Wei, Qiushi Huang, James T. Kwok +1
Knowledge Graph Completion (KGC) is crucial for addressing knowledge graph incompleteness and supporting downstream applications. Many models have been proposed for KGC. They can b…
Ontology Enrichment for Effective Fine-grained Entity Typing
Siru Ouyang, Jiaxin Huang, Pranav Pillai +3
Fine-grained entity typing (FET) is the task of identifying specific entity types at a fine-grained level for entity mentions based on their contextual information. Conventional me…
Space-Invariant Projection in Streaming Network Embedding
Yanwen Zhang, Huiwen Wang, Jichang Zhao
Newly arriving nodes in dynamics networks would gradually make the node embedding space drifted and the retraining of node embedding and downstream models indispensable. An exact t…
Enhancing the SVD Compression
Huiwen Wang, Yanwen Zhang, Jichang Zhao
Orthonormality is the foundation of matrix decomposition. For example, Singular Value Decomposition (SVD) implements the compression by factoring a matrix with orthonormal parts an…