Buch, Englisch, 682 Seiten, Format (B × H): 155 mm x 235 mm
23rd International Conference, WISA 2026, Kunming, China, August 7–9, 2026, Proceedings, Part I
Buch, Englisch, 682 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-981-9286-85-0
Verlag: Springer
This book constitutes the refereed proceedings of the 23rd CCF Conference on Web Information Systems and Applications, WISA 2026, held in Kunming, China, during August 7-9, 2026.
The 152 full papers, 20 short papers and 8 demo papers presented in this book were carefully selected and reviewed from 571 submissions. These papers have been organized in the following topical sections:
Part I : Large Language Models, Agents and Retrieval-Augmented Generation,Temporal Analytics and Intelligent Decision-Making and Data Management and Graph Intelligence I,
Part II : Data Management and Graph Intelligence II,Knowledge Graphs, Recommendation and Intelligent Services,Multimodal Learning and Language Intelligence and Security, Privacy and Trustworthy Computing I.
Part III : Security, Privacy and Trustworthy Computing II, Computer Vision and Perceptual Intelligence ,AI-Enabled Information Systems and Applications and Demo Papers.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
.- Large Language Models, Agents and Retrieval-Augmented Generation
.- Knowledge Retrieval-Augmented Recommendation with Dynamic Sampling and Hierarchical Representation.
.- Topologic-RAG: Topology-Aware Preference Learning for Multi-hop RAG.
.- LLM-Tuner: Large Language Model-Driven Vector Database Tuning.
.- AdaptiveMem-RL: Reinforcement Learning for Dynamic Memory Maintenance in Long-Term MultiTurn Dialogues.
.- UV-GraphRAG: A Unified Vectorization Framework for GraphRAG with Community Retrieval.
.- Graph Structure Fused and Retrieval-Augmented LLM Framework for Temporal Knowledge Graph Forecasting.
.- BookWeave: Seed-Anchored and Criteria-Filtered Synthesis of Diversified Question-Answer Pairs for Long-Form Book Generation.
.- Counterfactual Credit Assignment for Retrieval-Augmented Reasoning.
.- CTI-Align: A Data Fusion Framework for Threat Intelligence Entity Alignment via Semantic Routing and LLM Reasoning.
.- Structural and Semantic Dual-Source Fusion for Efficient Knowledge Graph RAG.
.- ProfileGate: Benefit-Aware Routing for Multi-Criterion Response Selection.
.- SEIR: Semantic Entropy-Driven Iterative Retrieval for Multi-Hop Question Answering.
.- NGM-RAG: Neural Graph Matching based Retrieval-Augmented Generation.
.- CARE: Context Allocation for Long-Term Episodic Memory.
.- ORGAudit-WM: Evidence-Bound Provenance Auditing for Black-Box LLM Office Information Workflows.
.- Evidence-Aware Hallucination Detection and Correction for Retrieval-Augmented Information Systems.
.- KnowAuth-RAG: A Fine-Grained Knowledge Authorization Framework for Secure Retrieval-Augmented Generation.
.- DEWO: An LLM-Based Agent System for Dynamic Model Hubs and Real-World Inference Services.
.- Ontology-Guided Semantic Propagation for Dynamic Graph Retrieval-Augmented Generation.
.- Memory Triggers: How Highly Predictable Tokens Route Factual Recall in LLMs.
.- TruthTrace: Hallucination Detection in LLMs via Interlayer State Evolution Monitoring.
.- Temporal Analytics and Intelligent Decision-Making
.- AlphaDGO: Automated Formulaic Alpha Discovery with Multi-Objective Robustness and LLM-Guided Financial Logic.
.- Truck-Drone Collaborative Route Planning Based on Hierarchical Hybrid Intelligent Optimization Algorithm.
.- PABR-KAN: Lightweight Kolmogorov-Arnold Networks with Prototype-Aware Basis Routing for Time Series Anomaly Detection.
.- MMDA: Towards LLM-Empowered Time Series Forecasting via Maximum Mean Discrepancy Alignment.
.- PrivImpute: Differentially Private Multivariate Time-Series Imputation.
.- PHCF: Periodicity-Aware Hierarchical Channel Fusion for Multivariate Long-Term Time Series Forecasting.
.- LogIC: Accurate and Interpretable Log Anomaly Detection with Distilled LLMs.
.- Navigating Crude Oil Futures Volatility with LLM-Enhanced Agent Strategies in Turbulent Geopolitical Climates.
.- FRC-RAG: Automating Financial Risk Control with Retrieval-Augmented LLMs.
.- MEKAN: Modal Dynamic Fusion and Multi-Expert Collaborative Framework for Financial Data Asset Valuation.
.- Adaptive Generation of Safety-Critical Cut-In Scenarios for Autonomous Driving Validation.
.- A Domain-Knowledge Guided Deep Sequential Learning Framework via mRMR Feature Decoupling for Non-Stationary Time Series.
.- Decoding the Traffic Spectrum: Lightweight Frequency-Attention Synergy for Robust Traffic Forecasting.
.- A Hierarchical Fault Detection Architecture for v/G Evaluation in Czochralski Crystal Growth.
.- NeuroPatchFlow: A Lightweight Dual-Path Framework with Attentive Dendritic Fusion for Multivariate Time Series Forecasting.
.- CARE: Competence-Aware Routing Ensemble for Non-Stationary Stock Return Prediction.
.- AGPD-Net: Adaptive Gaussian-Prior Decomposition for Long-Term Time Series Forecasting.
.- MultiSem-DPO: Preference Optimization for Sequential Recommendation with Multidimensional Behavioral Semantics.
.- Preference-Based Hierarchical Reinforcement Learning for Ship Meteorological Navigation Task Scheduling.
.- A Dynamic Fusion Large Language Model for Traffic Flow Prediction.
.- Street Scene Air Pollutant Concentration Prediction Based on Long Short-Term Memory Networks.
.- Data Management and Graph Intelligence I
.- Semi-Supervised Feature Selection via Mahalanobis Distance-Based Data Augmentation and Pseudo-Labeling.
.- Dynamic Link Prediction via Community-Aware Frequent Subgraph Scoring.
.- Cycle-Aware Graph Transformer for Link Prediction.
.- CoreFlow: A Coreset-Driven Normalizing Flow Framework for Cardinality Estimation under Incremental Data Growth.
.- An Efficient Length-independent B+-tree Set Index.
.- Tackling Implicit Class Imbalance in Few-Shot Learning with Frequency-Aware Dynamic Support Memory.
.- SunBench: Towards Multi-Scenario and Freshness-Constrained HTAP Benchmarking.
.- VkQE: A Cross-Platform GPU-Accelerated Query Engine Based on Vulkan Kompute.
.- AAPR-SAS: A Two-Stage Cascaded Framework for User Identity Linkage Across Social Networks.
.- SEK-Grading: An Automatic Hierarchical Visualization Method for Knowledge Graphs Based on the Fusion of K-Shell and Structural Entropy.
.- CLAY: Workload-Aware Online Page Prefetching via Next-Query Prediction.
.- TDPNet: Time-Aware Dynamic Patch Graph Learning for Irregular Multivariate Time Series Forecasting.
.- RLMatch: Reinforcement Learning-Enhanced Subgraph Query Processing for Graph Information Systems.
.- An Unsupervised Data Cleaning Framework Based on Multi-Agent Reinforcement Learning and Policy Distillation.
.- Clustering Time Series with Diverse Shape Variability Measure.
.- Android Malware Detection via Two-Stage Graph Aggregation of Method Semantics and Invocation Structures.
