3 papers
cs.CL2026
Expert-Guided Multimodal Fusion for Unified Emotion and Sentiment Analysis
Jiaqi Qiao, Xiujuan Xu, Xinran Li +3
Multimodal emotion understanding requires the integration of heterogeneous data sources, including text, audio, and visual modalities, while simultaneously addressing discrete emot…
cs.AI2025
Do LLMs Feel? Teaching Emotion Recognition with Prompts, Retrieval, and Curriculum Learning
Xinran Li, Yu Liu, Jiaqi Qiao +1
Emotion Recognition in Conversation (ERC) is a crucial task for understanding human emotions and enabling natural human-computer interaction. Although Large Language Models (LLMs)…
cs.CV2025
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer
Xinran Li, Yu Liu, Xiujuan Xu +1
The automatic diagnosis of chest diseases is a popular and challenging task. Most current methods are based on convolutional neural networks (CNNs), which focus on local features w…