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Computer Supported Cooperative Work and Social Computing

20th CCF Conference, ChineseCSCW 2025, Guangzhou, China, November 7-9, 2025, Revised Selected Papers, Part I
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.- Topic A: CSCW and Social Computing
.- Feature-aware Variational Graph Autoencoder for Link Prediction.
.- Exploring the Impact of AI Technology on Doctor-Patient Relationship Based on Topic Modeling and Sentiment Analysis.
.- HyperCLKT: Enhancing Knowledge Tracing via Hypergraph-Contrastive Learning with Self-Attention.
.- Multi-layer Heterophilic Graph Representation Learning with Relation Consistency Preservation.
.- A Multi-Dimensional Analysis of Academic Social Networks: A Case Study on SCHOLAT.
.- Graph Attention Based on Kolmogorov Arnold Network for Social Recommendation.
.- A Generalized Debiasing Framework to Remove Mixing Bias in Recommender Systems.
.- Straggler-Aware Dynamic Selection for Federated Learning.
.- Membership Uncertainty-Aware Overlapping Community Detection with Adaptive Cluster Number Estimation.
.- A Study on Users' Privacy Risks and Disclosure Behaviors in Generative Artificial Intelligence Platforms.
.- A Large Language Model for Traditional Chinese Medicine Prescription Recommendation Based on Multi-Stage Learning.
.- Fusing Hierarchical Attention and Hawkes Processes for Embedding Dynamic Heterogeneous Graphs.
.- Detecting Collusion in Play-to-Earn Games: A Case Study of Axie Infinity.
.- A Graph Neural Network Based on Feature Network for Identifying Influential Nodes.
.- Enhanced BERTopic Topic Modeling with LLM-Based Text Preprocessing.
.- Contrastive Enhanced Multi-View Session Recommendation Model With Collaborative User Interest and Intention.
.- FCA-based Maximal Clique Summary Detection in Social Networks.
.- Sampling-Driven Multi-State Epidemic Model.
.- "AgentSEIV: Rumor Diffusion Simulation and Dynamic Intervention in Social Networks".
.- Chinese Relation Extraction based on Data Augmentation and Dual-Channel Attention.
.- Research on Retrieval-Augmented Generation Technology Utilizing Chain-of-Thought and Hybrid Search.
.- A Cost-Effective Training Method for Large Models in Pedestrian Search Task.
.- Evidence-Chain-Based Analysis for the Factual Authenticity of Social Media Report.
.- Topic B: Human-Machine-Things Fusion and Human-AI Collaborative Computing
.- Spectral Clustering-driven SimpleMKKM Algorithm via Multi-level Aggregation.
.- Interval Type-2 Symmetrical Quintuple Implicational Algorithm for the Multi-rule Case.
.- Research on the LLMs Trust Mechanism and Users’ Active Use Intention——The Role of Usage Experience and Model Usage Richness.
.- TriAD: Tri-Level Augmentation Distillation for Uncertainty-Aware Consistency in Semi-Supervised Semantic Segmentation.
.- PokéElder: Building a MLLM-Based Interactive Tool to Guide Older Adults in Learning APP Usage.
.- ScholarRAG: Path-Aware Knowledge Graph-Augmented Retrieval for Scholarly QA.
.- Defense against Prompt Injection Attacks via Intention Emphasis.
.- Deep Learning for Ship Re-identification: A Survey and Outlook.
.- MTS-STNet: A Spatio-Temporal Fusion Model for Traffic Flow Forecasting Considering Multivariate Relationships.
.- TLLight: A Two-layer Reinforcement Learning Approach based Intelligent Traffic Signal Control System for Emergency Vehicle Priority.
.- A KG-LLM Synergistic Framework for Endless Learning in Chinese Classical Studies.
.- Enhanced Professional Semantic Similarity Measurement: Leveraging LLMs and Human Experience.

Produktdetails
  • Erscheinungsdatum: 09.08.2026
  • Autor/Autorin: Hailong Sun
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 31.1 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 513 Seiten
  • ISBN: 9789819202911
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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