1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2026
Expert-Guided Multimodal Fusion for Unified Emotion and Sentiment Analysis
Jiaqi Qiao, Xinran Li, Yifan Lyu +2
Multimodal emotion understanding requires the integration of heterogeneous data sources, including text, audio, and visual modalities, while simultaneously addressing discrete emot…
cs.AI2025★ 1 cited
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…