Xinyu Guo

I am a first-year PhD student at the University of California, Riverside, supervised by Prof. Holly O'Rourke. My research focuses on methodological innovations in quantitative and computational psychology and psychiatry, integrating causal inference and machine learning to extract reliable information from complex behavioral and clinical data and to develop tools that support rigorous scientific inference and decision-making.

我是加州大学河滨分校一年级博士生，导师为 Holly O'Rourke 教授。我的研究聚焦于定量与计算心理学及精神病学中的方法学创新，将因果推断与机器学习相结合，从复杂行为与临床数据中提取可靠信息，并开发支持严谨科学推断与决策的工具。

Previously, I received my B.S. in E-commerce (Big Data) from Nanjing University of Chinese Medicine and my Master of Medicine from Sichuan University. I was a research assistant at the Hong Kong Polytechnic University, supervised by Daniel T.L. Shek.

此前，我于南京中医药大学获得电子商务（大数据）理学学士学位，于四川大学获得医学硕士学位。我曾在香港理工大学担任研究助理，导师为 Daniel T.L. Shek。

News 动态

Sep 01, 2026	Excited to start my PhD at UC Riverside with Prof. Holly O’Rourke! 很高兴加入加州大学河滨分校，在Holly O’Rourke 教授的指导下攻读博士学位！
Aug 03, 2026	I finished my work with Prof. Daniel T.L. Shek’s P.A.T.H.S. team at PolyU. Many thanks to Prof. Shek for the guidance and to the team for the support!!!🙏 我结束了在香港理工大学石丹理教授 P.A.T.H.S. 团队的工作，非常感谢石教授的指导与团队的支持！！！🙏
Jun 25, 2026	New publication (2026): Psychometric properties of the Chinese Responsibility Scale in university students in Hong Kong, China. 新发表论文（2026）：Psychometric properties of the Chinese Responsibility Scale in university students in Hong Kong, China。
Mar 02, 2026	New publication (2026): Causality-informed models for multidrug-resistant organism prediction: Enabling effective ICU antibiotic stewardship. 新发表论文（2026）：Causality-informed models for multidrug-resistant organism prediction: Enabling effective ICU antibiotic stewardship。
Aug 31, 2025	Happy to share that our new paper has been accepted by the CogSci 2025 conference! 我们的新论文已被 COGSCI 2025 会议接受！
Jun 01, 2025	First-author paper on longitudinal ML for adolescent NSSI prediction out in Journal of Affective Disorders. 第一作者论文：青少年 NSSI 纵向机器学习预测，发表于 Journal of Affective Disorders。
Apr 15, 2025	A new paper is now online in BMC Medical Informatics and Decision Making! It presents a causal deep learning framework for ICU mortality prediction. 我们的一篇论文现已在线发表于BMC Medical Informatics and Decision Making！该研究提出了一个面向重症监护室死亡预测的因果深度学习框架。

Research 研究

Longitudinal machine learning prediction of non-suicidal self-injury among Chinese adolescents: A prospective multicenter cohort study
Guo, X., Liu, S., Jiang, L., Xiong, Z., Wang, L., Lu, L., ... & Daniel T.L. Shek
Journal of Affective Disorders, 2025, 120110. [Q1, IF: 4.9]
code / paper

Factors and pathways of non-suicidal self-injury in children: Insights from computational causal analysis
Guo, X., Wang, L., Li, Z., Feng, Z., Lu, L., Jiang, L., & Zhao, L.
Frontiers in Public Health, 2024, 12, 1305746. [Q1, IF: 3.4]
project / paper

CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction
Wang, L., Guo, X., Shi, H., Ma, Y., Bao, H., Jiang, L., Zhao, L., Feng, Z., Zhu, T., & Lu, L.
BMC Medical Informatics and Decision Making, 2025, 25(1), 165. [Q2, IF: 3.8]
code / paper

Life changes and symptoms of depression and anxiety among Chinese children and adolescents before, during, and after the COVID-19 pandemic lockdown: a combination of cross-sectional, longitudinal, and clustering studies
Zeng, Y., Song, J., Zhang, Y., Guo, X., Xu, X., Fan, L., Zhao, L., Song, H., & Jiang, L.
European Child & Adolescent Psychiatry, 2025, 34(3), 1025-1038. [Q1, IF: 4.9]
project / paper

Dynamic causal graph-based learning approach for predicting cognitive impairment in middle-aged and older adults
Wang, L., Guo, X., Zhou, Y., Li, Z., Jiang, L., Zhao, L., Feng, Z., & Lu, L.
In Proceedings of the 46th Annual Conference of the Cognitive Science Society, 2024, Vol. 46. [Conference]
paper

Prediction of cognitive impairment in middle-aged and elderly people: A method based on Granger causality
Li, S., Wang, L., Guo, X., Shi, H., Ma, Y., Zhang, X., Feng, Z., & Lu, L.
In Proceedings of the 47th Annual Conference of the Cognitive Science Society, 2025, Vol. 47. [Conference]
paper

Causality-Informed Models for Multidrug-Resistant Organism Prediction: Enabling Effective ICU Antibiotic Stewardship
Wang, L., Guo, X., Chen, Y., Li, S., Zhao, L., Feng, Z., & Lu, L.
International Journal of Antimicrobial Agents, 2026, 107767. [Q1, IF: 4.6]
code / paper

Academic values, academic anxiety, and non-suicidal self-injury in Chinese adolescents: A three-wave longitudinal study
Xinyu Guo, Peng, Y., Li, X., Zhao, L., Jiang, L., & Shek, D. T. L.
BMC Psychology, 2025. (Under review)

Project 项目

Several projects that I lead are listed below:

以下是我主导或共同负责的部分项目：

Chengdu Positive Child Development (CPCD) Survey
Project Description

I directed the 5th wave of the survey, including coordination with participating schools and logistical planning and managed field surveys, data entry using Epidata, and ensured accuracy in preliminary data processing.

I independently conducted data matching, screening, cleaning, and missing value imputation for Waves 1-4, then developed a longitudinal machine learning model to predict adolescent NSSI, published in Journal of Affective Disorders, 2025.

Chinese General Social Survey (CGSS)
Project Description

I co-led the 2023 Sichuan Province survey team, with responsibilities including project planning and coordination, field household interviews, and software management.

Chronic Disease and Health Literacy Survey

I led a chronic disease and health literacy survey across 7 Sichuan Province cities, organizing field data collection and interviews, analyzing and visualizing results, and preparing the research report for government departments.