5 citations · 5 across the 3 of their papers we have counts for
6 papers
From Phase Transition to Systemic Failure: A Decoupled Analytics Framework for GNN Robustness
Shuai Yan, Dan Peng, Jie Li +1
Data quality is a major bottleneck for the reliable deployment of graph neural networks (GNNs) in real-world graph mining tasks. Among various sources of degradation, label noise a…
Decoupling Error Attribution in Cloud-Native Graph-RAG: A Data Integrity Diagnostic Framework
Shuai Yan, Yuhang Wu, Xiaodong Huang +1
Graph-RAG systems often assume pristine data quality, overlooking the severe impact of perturbations in cloud-native databases. This paper proposes a three-layer decoupled diagnost…
Agent-Based ML-LLM Fusion with Self-Optimizing Prompts for Plateau Weather Alerts
Shuai Yan, Yang Xu, Shan He
To address insufficient contextualization, weak generalization, and poor scenario adaptation in tourism meteorological services, we propose SmartWeatherAgent--a unified three-stage…
F10.7 Index Prediction: A Multiscale Decomposition Strategy with Wavelet Transform for Performance Optimization
Xuran Ma, Xuebao Li, Yanfang Zheng +15
In this study, we construct Dataset A for training, validation, and testing, and Dataset B to evaluate generalization. We propose a novel F10.7 index forecasting method using wavel…
RAG-Optimized Tibetan Tourism LLMs: Enhancing Accuracy and Personalization
Jinhu Qi, Shuai Yan, Yibo Zhang +4
With the development of the modern social economy, tourism has become an important way to meet people's spiritual needs, bringing development opportunities to the tourism industry.…
Research on Tibetan Tourism Viewpoints information generation system based on LLM
Jinhu Qi, Shuai Yan, Wentao Zhang +3
Tibet, ensconced within China's territorial expanse, is distinguished by its labyrinthine and heterogeneous topography, a testament to its profound historical heritage, and the cra…