5 papers
SynergyKGC: Reconciling Topological Heterogeneity in Knowledge Graph Completion via Topology-Aware Synergy
Xuecheng Zou, Yu Tang, Bingbing Wang
Knowledge Graph Completion (KGC) fundamentally hinges on the coherent fusion of pre-trained entity semantics with heterogeneous topological structures to facilitate robust relation…
Robust Outlier Detection and Low-Latency Concept Drift Adaptation for Data Stream Regression: A Dual-Channel Architecture
Bingbing Wang, Shengyan Sun, Jiaqi Wang +1
Outlier detection and concept drift detection represent two challenges in data analysis. Most studies address these issues separately. However, joint detection mechanisms in regres…
Transfer Learning in Regression with Influential Points
Bingbing Wang, Jiaqi Wang, Yu Tang
Regression prediction plays a crucial role in practical applications and strongly relies on data annotation. However, due to prohibitive annotation costs or domain-specific constra…
GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework
Xuecheng Zou, Ke Liu, Bingbing Wang +3
Building upon the standard graph-based Retrieval-Augmented Generation (RAG), the introduction of heterogeneous graphs and hypergraphs aims to enrich retrieval and generation by lev…
Half-KFN: An Enhanced Detection Method for Subtle Covariate Drift
Bingbing Wang, Dong Xu, Yu Tang
Detecting covariate drift is a common task of significant practical value in supervised learning. Once covariate drift occurs, the models may no longer be applicable, hence numerou…