This two-volume set constitutes the revised selected papers of the 18th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2023 held in Harbin, China, in August 2023.
The 54 full papers and 28 short papers presented in these proceedings were carefully reviewed and selected from 221 submissions. The papers are organized in the following topical sections: Social Media and Online Communities; Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Crowd Intelligence and Crowd Cooperative Computing; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications.
Social Media and Online Communities.- HGNN-T5 PEGASUS: A Hybrid
Approach for Chinese Long Text Summarization.- Prompt-based and Two-stage
Training for Few-shot Text Classification.- A Fine-Grained Image Description
Generation Method Based on Joint Objectives.- Analyzing Collective
Intelligence through Sentiment Networks in Self-Organized Douban
Communities.- Similarity Metrics and Visualization of Scholars Based on
Variational Graph Normalized Auto-Encoders.- Scholar Influence Maximization
via Opinion Leader and Graph Embedding Regression in Social
Networks.- Incremental Inductive Dynamic Network Community
Detection.- Er-EIR: A Chinese Question Matching Model based on Word-level and
Sentence-level Interaction Features.- MOOC dropout prediction using learning
process model and LightGBM algorithm.- Nonnegative Matrix Factorization Based
on Topology-And-Attribute-Matching Degree for Community
Detection.- Unsupervised Multi-population Evolutionary Algorithm for
Community Detection in Attributed Networks.- Parallel High Utility Itemset
Mining Algorithm on the Spark.- ABCD-HN: An Artificial Network Benchmark for
Community Detection on Heterogeneous Networks.- A Multi-Behavior
Recommendation Based on Disentangled Graph Convolutional Networks and
Contrastive Learning.- How hypergraph-to-graph conversion affects cooperative
working visualization: A Multi-metric evaluation.- Vessel Traffic Flow
Prediction and Analysis Based on Ship Big Data.- TGPPN: A Transformer and
Graph Neural Network based Point Process Network Model.- Dynamic Network Link
Prediction Based on Attention and Time Perception.- User's Emotional
Diffusion and Public Opinion Evolution Under Public Health
Emergencies.- Mobile Edge Computing Offloading Strategy Based on Deep
Reinforcement Learning.- Study of Mental Model in Human-Computer Interaction
Based on EEG Signal Data.- Collaborative Mechanisms, Models, Approaches,
Algorithms and Systems.- A Scholarly Information Retrieval System
Incorporating Recommendation with Semantic Similarity.- DAG-based Task
Scheduling Optimization in Heterogeneous Distributed Systems.- A Distributed
Cross-layer Protocol for Sleep Scheduling and Data Aggregation in Wireless
Sensor Networks.- Time Split Network for Temporal Knowledge Graph
Completion.- Deep Q-learning Based Circuit Breaking Method for Micro-services
in Cloud Native Systems.- FRS4CPP: A Fair Recommendation Strategy Considering
Interests of Users; Providers and Platform.- Accelerating Unsupervised
Federated Graph Neural Networks Via Semi-Asynchronous Communication.- Life
Cycles and Self-organized Criticality of Vietnam Empires: Based on Sandpile
Model.- Multi-source Autoregressive Entity Linking Based on Generative
Method.- Improving Voice Style Conversion via Self-Attention VAE with Feature
Disentanglement.- Deep Reinforcement Learning for Delay and Energy-aware Task
Scheduling in Edge Clouds.- A Comprehensive Review of the Oversmoothing in
Graph Neural Networks.- A Foreground Feature Embedding Network for Object
Detection in Remote Sensing Images.- Visitors Vis: Interactive Mining of
Suspected Medical Insurance Fraud Groups.- CERender: Real-time Cloud
Rendering Based on Cloud-Edge Collaboration.- Auxiliary Diagnosis of
Pneumonia Based on Convolutional Attention and Parameter
Migration.- End-to-end Relation-Enhanced Learnable Graph Self-attention
Network for Knowledge Graphs Embedding.- Research on Signal Detection and
System Recognition Techniques in Private Internet of Things.- Research on
Traffic Flow Prediction and Traffic Light Timing Recommendation Technology
Based on Vehicle Data Analysis.- Towards Distributed Graph Representation
Learning.
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