Knowledge graphs play a vital role in grounding Large Language Models (LLMs) in verifiable facts, which matters wherever facts evolve continuously and stale information is costly, as in clinical informatics. However, existing Retrieval-Augmented Generation (RAG) systems suffer from "structural hallucination," where con...
H. Bukhari, Yong-Qiang Cheng, Qing-De Li· International Conference on...· 0 citations
Vehicular edge computing (VEC) faces critical challenges regarding limited onboard computational capacity and the potential for location privacy leakage. To address these issues, this paper proposes a novel, privacy-aware task offloading framework driven by deep reinforcement learning (DRL). First, we design a dynamic...
NeuSOGA3D (Neuro-Symbolic Observation-Guided Geometric Abstraction in 3D), a hybrid framework that combines learned perceptual priors inherited from NeuSOGA with explicit symbolic geometric reasoning for explainable geometric intelligence is presented.
Qing-De Li, Qingqi Hong, Zi-Han Li et al.· 0 citations
Experiments on ModelNet40 point clouds, arbitrary-view projections, and segmented optical observations demonstrate that NeuSOGA transforms diverse observations into compact symbolic representations while preserving essential geometric and topological structure across sensing modalities and viewing directions.
Qingde Li, Qingqi Hong, Zi-Han Li et al.· 0 citations
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