.- Emotional Intelligence Surveys and Databases.
.- Affective Computing for Healthcare: Recent Trends, Applications, Challenges, and Beyond.
.- REFN: A Multimodal Database for Emotion Analysis Using Functional Near-infrared Spectroscopy.
.- Emotional Intelligence Methods.
.- EIDA: Explicit- and Implicit-space Self-supervised Learning for Visual Emotion Adaptation.
.- A Three streams Convolutional Transformer Fusion Model for Facial Macro- and Micro-Expressions Spotting.
.- Facial Action Unit Recognition with Micro-Action-Aware Transformer.
.- Local and Global Iterative Adaptation Based on Meta learning for Source-free Cross-Corpus Speech Emotion Recognition.
.- Decoupled Representation with Multimodal Prompts for Emotion Recognition in Conversation.
.- Emotional Intelligence Applications.
.- Generative Text Prompts for Image Aesthetic Quality Assessment.
.- Large Language Model Enhanced Fuzzy Logic Fusion Framework for Stance Detection.
.- Skeleton-based Online Action Detection with Temporal Enhancement.
.- Fine-Grained Spatial-Temporal Framework for Engagement Prediction.
.- Multimodal Engagement Recognition by fusing Transformer and Bi-LSTM.
.- Emotional Interaction Hardware Design for Wrist Rehabilitation Based on Secondary Fuzzy Reasoning.
.- Attention-Based Audio Depression Recognition Integrating Handcrafted and Deep Features.
.- STC-ND: Leveraging Spatialtemporal Characteristics with NeXtVLAD for Depression Detection from Few-Channel EEG Signals.
.- DepLLM: Fine-Tuning Large Language Models with a Chinese Dialogue Dataset for Depression Diagnosis via Mixture of Specialized Experts.
