5 citations · 5 across the 5 of their papers we have counts for
5 papers
Attribute-Grounded Selective Reasoning for Artwork Emotion Understanding with Multimodal Large Language Models
Cheng Zhang, Yuer Liu, Zhiyu Zhou +2
Multimodal large language models (MLLMs) can produce fluent artwork emotion explanations, but they often suffer from attribute flooding: they enumerate many visible formal attribut…
Differential Mental Disorder Detection with Psychology-Inspired Multimodal Stimuli
Zhiyuan Zhou, Jingjing Wu, Zhibo Lei +9
Differential diagnosis of mental disorders remains a fundamental challenge in real-world clinical practice, where multiple conditions often exhibit overlapping symptoms. However, m…
Voices, Faces, and Feelings: Multi-modal Emotion-Cognition Captioning for Mental Health Understanding
Zhiyuan Zhou, Yanrong Guo, Shijie Hao
Emotional and cognitive factors are essential for understanding mental health disorders. However, existing methods often treat multi-modal data as classification tasks, limiting in…
InterMind: Doctor-Patient-Family Interactive Depression Assessment Empowered by Large Language Models
Zhiyuan Zhou, Jilong Liu, Sanwang Wang +3
Depression poses significant challenges to patients and healthcare organizations, necessitating efficient assessment methods. Existing paradigms typically focus on a patient-doctor…
Towards Multimodal Emotional Support Conversation Systems
Yuqi Chu, Lizi Liao, Zhiyuan Zhou +2
The integration of conversational artificial intelligence (AI) into mental health care promises a new horizon for therapist-client interactions, aiming to closely emulate the depth…