Buch, Englisch, Band 17286, 339 Seiten, Format (B × H): 155 mm x 235 mm
23rd International Conference, WISA 2026, Kunming, China, August 7–9, 2026, Proceedings, Part III
Buch, Englisch, Band 17286, 339 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-981-9286-91-1
Verlag: Springer Singapore
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.
Weitere Infos & Material
.- Security, Privacy and Trustworthy Computing II
.- dMIR Peephole Rewrites for Consensus-Critical EVM JITs with First-Class Carry Operators.
.- Security Risks in Autonomous AI Agents: A Survey of Threats, Attack Surfaces, and Defenses.
.- B2SMatch: Contrastive Learning for Binary-Source Code Similarity Detection.
.- ILShard: An Efficient Blockchain Sharding System Exploring Adaptive Intention Locking Mechanism.
.- P³RF: Packed Privacy-Preserving Random Forest Inference by Homomorphic Encryption.
.- BS-Audit: Budget-Normalized Security–Coverage Auditing for Federated Backdoor Defenses.
.- Fast-zkGCN: Fast Zero-Knowledge Proofs of Inference for Graph Convolutional Networks.
.- Structure-Aware Prompting for False Positive Identification in Static Analysis Warnings.
.- SCPS: Success-Conditioned Policy Stabilization and Phase-Switched Consolidation for Continual Autonomous Penetration Testing.
.- PRH: Prompt Guided Reversed Huffman Coding for Two-Level Text Steganography.
.- LAVC: Cost-Effective Vulnerability Validation with Lightweight LLMs.
.- FedMDS: Backdoor Defense in Federated Learning via Layer-wise Concentration Auditing.
.- Efficient and Secure Key Rotation Scheme for Cloud Encrypted Database Enabling Data Recovery.
.- Computer Vision and Perceptual Intelligence
.- Shuishu Character Detection Based on Adaptive Wavelet Transform Network.
.- SIFNet: Spatio-Temporal Interaction and Frequency Modulation for Semi-Supervised Change Detection.
.- Indoor Localization via 5G NR: A GNN-based Approach with Learnable Node Feature Selection.
.- Multi-Agent Collaboration for Interactive Data Structure and Algorithm Visualization.
.- MDD-DETR: An Enhanced End-to-End Detection Framework for Prohibited Item Recognition in Intelligent Security Inspection Systems.
.- BADA: Bridging-modality Aligned Discriminative Aggregation Network for Visible-Infrared Person Re-Identification.
.- Frequency-Aware Dual-Stream Tampering Localization for Archive Document Images.
.- DCS-Net: A Dual-branch Collaborative Segmentation Network for Complex Medical Image Segmentation.
.- PFreDiff: Prior-to-Control Guided Cross-Frequency Diffusion for Single Image Dehazing.
.- CSAI: Cross- and Self-Attention Interaction for Compositional Text-to-Image Generation.
.- D2FNet: Dual-Path Feature Diversity and Differential Learning for Robust Remote Sensing Change Detection.
.- CSG-RMF: Unrestricted Adversarial Example Generation via Contrastive Semantic Guidance and Region-aware Mask Fusion.
.- Privacy-Aware Adaptive Compressed-Domain Vision System for Edge IoT Under Dynamic Bandwidth and Transmission Perturbations.
.- Zero-Shot Vulnerability Assessment of Ancient Architecture Point Clouds.
.- Parameter-Efficient Multi-View Adapter Tuning for Carotid Plaque Segmentation and Risk Stratification.
.- PET-MemNet: A Prototype-Residual Memory Compensation Framework for MRI-Only Alzheimer’s Disease Diagnosis with Missing FDG-PET.
.- Hybrid Correlation with Stage-wise Map for Learned Image Compression.
.- Asymmetric Mask Sparse Convolution Network for Hyperspectral Anomaly Detection.
.- CCMamba-UNet: Scale-Adaptive Context Clustering Mamba Decoder for High-Resolution Remote Sensing Image Segmentation.
.- VLAM-Fall: A Training-Free Fall Detection Method Based on Vision-Language Anchoring and Memory Reasoning for Smart Elderly Care.
.- Lightweight DualFlowAug with Align-ResNeXt for Multi-View Carotid Plaque Feature Fusion in Stroke Risk Screening.
.- AI-Enabled Information Systems and Applications
.- Nutri20K: A Nutrition-Centric Question Answering Dataset for Personalized Recipe Generation.
.- TAPRAG: Topology-Aware Property RAG with Constraint Soft-Penalty for Industrial Diagnostics.
.- Semi-Supervised Trace Embedding for Compliance-Aware Anomaly Detection in RPA Processes.
.- ZK-EMR: Verifiable and Auditable EMR Sharing over Untrusted Distributed Storage.
.- Combating Spatial Cascading Failures in Traffic Forecasting via Multi-Scale Graph Contrastive Learning.
.- A Dynamic Contribution-Aware Collaborative Federated Learning Framework Based on Dual-Adapter Architecture.
.- JointSymptom: Gated Multi-Granularity Symptom Representation Learning for Depression Detection.
.- DRE-AD: Dynamic Relation Evolution-Driven Anomaly Detection for Multivariate Time Series in Industrial Information Systems.
.- DAPKT: A Dynamic Adaptive Model for Programming Knowledge Tracing.
.- DE-LoRA: Dynamic Expert Low-Rank Adaptation for Multi-Task Medical Language Models.
.- GFKT: Neural Knowledge Tracing with Peer Effect Modeling.
.- FedFlowMatching: Generating Synthetic Electronic Health Record Data Using Federated Flow Matching.
.- Graph-Structured Guided Cross-Course Knowledge Tracing in Cold-Start Scenarios.
.- A Smart Teaching Information System for the LabWindows/CVI Virtual-Instrument Course with AI-Enhanced Virtual–Real Fusion.
.- A Leakage-Aware Privileged-Distillation System for Trustworthy Cross-Cohort Clinical Risk Prediction.
.- AuditLLM: A Compact and Domain-Specialized Large Language Model Family for Intelligent Auditing via Two-Stage Continual Pre-Training.
.- RustGen: Design and Application of Rust Teaching AI Agent.
.- FedCORE: Enhanced Personalized Federated Learning via Feature Decorrelation and Contrastive Distillation.
.- A Clinical Certification Pathway-Guided Medical AI Agent System.
.- Think-on-Table: Towards Robust Medication QA via Stability-Driven Table-Centric Knowledge Consolidation.
.- COVE: Communication-Aware Verification and Generation for Edge–Cloud Speculative Decoding.
.- Demo Papers
.- ADA-GFD: Adaptive Data-Augmented Graph Fraud Detection System.
.- Generating Student Profiles for Explainable Educational Recommendation.
.- E2GraphRAG: Dual-Layer Entity–Event Indexing and Retrieval for Graph-Augmented Generation.
.- CodeEvoDiag: AI-assisted Code Evolution Diagnosis for Programming Education.
.- Agentic OpenTalent: An Evaluation and Learning Tutoring Agent for Open Source Talent.
.- EDMA: An Event-Driven Multimodal System for Archival Intelligence Compilation (System Demonstration).
.- FFA: Feature-Consistent Transferable Adversarial Patch Attack for Object Detection.
.- CodeCMCQ: A Code-Mediated Multi-Agent Framework for Verifiable Chart-based MCQ Generation.
