2 papers
cs.AI2026
Echo: Learning from Experience Data via User-Driven Refinement
Hande Dong, Xiaoyun Liang, Jiarui Yu +15
Static "human data" faces inherent limitations: it is expensive to scale and bounded by the knowledge of its creators. Continuous learning from "experience data" - interactions bet…
cs.AI2024
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis
Dexu Kong, Anping Zhang, Yang Li
Dynamic community detection methods often lack effective mechanisms to ensure temporal consistency, hindering the analysis of network evolution. In this paper, we propose a novel d…