activity
20222026
most citedCubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation

152 citations · 166 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2026

DynaBridge: Dynamic Summary-Guided Cross-Task Multimodal Fusion for DASS-Structured Mental Health Assessment

Shiyu Teng, Haichen Yu, Jiaqing Liu +6

Multimodal behavioral analysis offers a scalable approach to assessing depression, anxiety, and stress, yet generic fusion models often ignore the psychometric structure of questio…

cs.LG2025★ 1 cited

Retrieval-Augmented Multimodal Depression Detection

Ruibo Hou, Shiyu Teng, Jiaqing Liu +4

Multimodal deep learning has shown promise in depression detection by integrating text, audio, and video signals. Recent work leverages sentiment analysis to enhance emotional unde…