7 citations · 8 across the 5 of their papers we have counts for
5 papers
Uncertainty-oriented Order Learning for Facial Beauty Prediction
Xuefeng Liang, Zhenyou Liu, Jian Lin +2
Previous Facial Beauty Prediction (FBP) methods generally model FB feature of an image as a point on the latent space, and learn a mapping from the point to a precise score. Althou…
WeKnow-RAG: An Adaptive Approach for Retrieval-Augmented Generation Integrating Web Search and Knowledge Graphs
Weijian Xie, Xuefeng Liang, Yuhui Liu +3
Large Language Models (LLMs) have greatly contributed to the development of adaptive intelligent agents and are positioned as an important way to achieve Artificial General Intelli…
Triple Disentangled Representation Learning for Multimodal Affective Analysis
Ying Zhou, Xuefeng Liang, Han Chen +3
Multimodal learning has exhibited a significant advantage in affective analysis tasks owing to the comprehensive information of various modalities, particularly the complementary i…
Learning Subjective Time-Series Data via Utopia Label Distribution Approximation
Wenxin Xu, Hexin Jiang, Xuefeng Liang +3
Subjective time-series regression (STR) tasks have gained increasing attention recently. However, most existing methods overlook the label distribution bias in STR data, which resu…
Gaussian-smoothed Imbalance Data Improves Speech Emotion Recognition
Xuefeng Liang, Hexin Jiang, Wenxin Xu +1
In speech emotion recognition tasks, models learn emotional representations from datasets. We find the data distribution in the IEMOCAP dataset is very imbalanced, which may harm m…