Research
Computational psychology and NLP applications for understanding family dynamics and mental health.
Selected Projects
The Effect of Marital Interaction on Marital Relationship: Behavior and Cognitive Neurosis Mechanism
Using NLP, CV and time series analysis to understand spousal communication patterns (both verbal and non-verbal) and developing an AI-powered automatical coding system.
NSFC Grant
Python
R
NLP
LLMs
OpenFace
fMRI
Family Dynamics
The Dynamic Association between Marital Interaction and Marital Relationship Among Newly Couple: The Mediating Role of Marital Emotion and Affection
Longitunal laboratory observation & fNIRS hyper-scanning of newlyards spousal interactions, decoding interaction patterns to predict later relationship outcomes.
NSFC Grant
Python
R
NLP
LIWC
LDA
fNIRS
Family Dynamics
Analyses of Chinese College Students' Mental Health Status and Revisions of College Students Mental Health Screening Scale
Large-scale analysis of Chinese college students' mental health status with 5M+ participants per year for national policy impact.
MoE Project
Python
R
Big Data
Mental Health
Emotional Semantic Space: Individual Differences and Prediction of Emotional Well-Being
Using semantic space method to predict individual differences in emotion, social values and well-being.
National Undergraduate Grant
Semantic Space
NLP
RSA
SVM
RVR
Mental Health
Featured Publications
We-Talk Boosts Marital Quality across Contexts: Roles of Perceived Understanding and Dyadic Congruence
Zheng, Q., Zhang J., Li, Q., Li, K., Ma, S., & Fang, X.
Journal of Marriage and Family (Under Review)
Hidden Burdens: Emotional and Behavioral Problems Among Chinese Adolescents and the Interplay of Family and Regional Socioeconomic Status
Tong, W.*, Zheng, Q.*, Li, K., Li, Q., Feng, T., & Fang, X. (*equal contribution)
Journal of Affective Disorders (Under Review)
The Impact of Spousal Interaction Themes and Patterns on Marital Quality: A Semantic Analysis.
Zheng, Q.
Master's Thesis (In Preparation)
