Guoyong Cai
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View article: A GIN-Guided Multiobjective Evolutionary Algorithm for Robustness Optimization of Complex Networks
A GIN-Guided Multiobjective Evolutionary Algorithm for Robustness Optimization of Complex Networks Open
Network robustness optimization is crucial for enhancing the resilience of industrial networks and social systems against malicious attacks. Existing studies typically evaluate the robustness by simulating the sequential removal of nodes o…
View article: A Coevolutionary Algorithm Based on Constraints Decomposition for Constrained Multi-objective Optimization Problems
A Coevolutionary Algorithm Based on Constraints Decomposition for Constrained Multi-objective Optimization Problems Open
Constrained multi-objective optimization problems (CMOPs) are challenging for evolutionary algorithms (EAs). Due to the interaction of multiple constraints, the constrained Pareto fronts (CPFs) exhibit various complex characteristics, e.g.…
View article: A Coevolutionary Algorithm based on Constraints Decomposition for Constrained Multi-Objective Optimization Problems
A Coevolutionary Algorithm based on Constraints Decomposition for Constrained Multi-Objective Optimization Problems Open
Constrained multiobjective optimization problems (CMOPs) are challenging for evolutionary algorithms (EAs). Due to the interaction of multiple constraints, the constrained Pareto fronts (CPFs) exhibit various complex characteristics, e.g.,…
View article: Aspect-level multimodal sentiment analysis based on co-attention fusion
Aspect-level multimodal sentiment analysis based on co-attention fusion Open
Aspect-level multimodal sentiment analysis is the fine-grained sentiment analysis task of predicting the sentiment polarity of given aspects in multimodal data. Most existing multimodal sentiment analysis approaches focus on mining and fus…
View article: Contextual Graph Attention Network for Aspect-Level Sentiment Classification
Contextual Graph Attention Network for Aspect-Level Sentiment Classification Open
Aspect-level sentiment classification aims to predict the sentiment polarities towards the target aspects given in sentences. To address the issues of insufficient semantic information extraction and high computational complexity of attent…
View article: Continuous Detection, Rapidly React: Unseen Rumors Detection based on Continual Prompt-Tuning
Continuous Detection, Rapidly React: Unseen Rumors Detection based on Continual Prompt-Tuning Open
Since open social platforms allow for a large and continuous flow of unverified information, rumors can emerge unexpectedly and spread quickly. However, existing rumor detection (RD) models often assume the same training and testing distri…
View article: Hierarchy Spatial-Temporal Transformer for Action Recognition in Short Videos
Hierarchy Spatial-Temporal Transformer for Action Recognition in Short Videos Open
Short videos action recognition based on deep learning has made a series of important progress; most of the proposed methods are based on 3D Convolution neural networks (3D CNN) and Two Stream architecture. However, 3D CNN has a large numb…
View article: Multi‐level Deep Correlative Networks for Multi‐modal Sentiment Analysis
Multi‐level Deep Correlative Networks for Multi‐modal Sentiment Analysis Open
Multi-modal sentiment analysis (MSA) is increasingly becoming a hotspot because it extends the conventional Sentiment analysis (SA) based on texts to multi-modal content which can provide richer affective information. However, compared wit…
View article: Consideration of the local correlation of learning behaviors to predict dropouts from MOOCs
Consideration of the local correlation of learning behaviors to predict dropouts from MOOCs Open
Recently, Massive Open Online Courses (MOOCs) have become a major online learning methodology for millions of people worldwide. However, the dropout rates from several current MOOCs are high. Usually, dropout prediction aims to predict whe…
View article: Information Diffusion on Social Media During Natural Disasters
Information Diffusion on Social Media During Natural Disasters Open
Social media analytics has drawn new quantitative insights of human activity patterns. Many applications of social media analytics, from pandemic prediction to earthquake response, require an in-depth understanding of how these patterns ch…