Mingzheng Li
Biographic Data
| ID | 8320066 |
|---|---|
| NAME | Mingzheng Li |
| GIVEN NAMES | Mingzheng |
| FAMILY NAME | Li |
| SIGNATURE | LI M |
| AFFILIATIONS | University of Science and Technology of China |
| ORCID | 0000-0001-8444-4044 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Modeling Long-Term Emotional Support Through Causal World Modeling With Imitation Learning
Emotional support conversation systems have emerged as a promising complement to traditional mental health consultations, offering context-aware dialogue to support seekers’ emotional well-being. Despite their potential, two fundamental challenges remain unresolved: 1) modeling long-term emotional trajectory beyond short-term relief; and 2) adapting support strategies to context in a psychologically coherent manner. To address these challenges, w…
Detecting Depression With Heterogeneous Graph Neural Network in Clinical Interview Transcript
Depression has an intense impact on individuals, yet many cases go undiagnosed. Thus, it is imperative to design an effective model for the automated diagnosis of depression. However, existing methods do not adequately capture contextual information in a clinical interview. Inspired by the depression diagnosis process, we propose a new perspective on detecting depression as a dialog information extraction task. Specifically, this article construc…
No prominent works on this page.
Detecting Depression With Heterogeneous Graph Neural Network in Clinical Interview Transcript
Depression has an intense impact on individuals, yet many cases go undiagnosed. Thus, it is imperative to design an effective model for the automated diagnosis of depression. However, existing methods do not adequately capture contextual information in a clinical interview. Inspired by the depression diagnosis process, we propose a new perspective on detecting depression as a dialog information extraction task. Specifically, this article construc…
Modeling Long-Term Emotional Support Through Causal World Modeling With Imitation Learning
Emotional support conversation systems have emerged as a promising complement to traditional mental health consultations, offering context-aware dialogue to support seekers’ emotional well-being. Despite their potential, two fundamental challenges remain unresolved: 1) modeling long-term emotional trajectory beyond short-term relief; and 2) adapting support strategies to context in a psychologically coherent manner. To address these challenges, w…
Mental Health via Writing (2 works) · Advanced Graph Neural Networks (1 work) · Algorithm (1 work) · Arithmetic (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Causal model (1 work) · Computer Science (1 work) · Conversation (1 work) · Dialog box (1 work)