Jin Lü

ORCID: 0000-0003-1356-0202
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About
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Research Areas
  • Suicide and Self-Harm Studies
  • Child and Adolescent Psychosocial and Emotional Development
  • Child Abuse and Trauma
  • Mental Health Research Topics
  • Digital Mental Health Interventions
  • Bullying, Victimization, and Aggression
  • Mental Health Treatment and Access
  • Functional Brain Connectivity Studies
  • Advanced MRI Techniques and Applications
  • Impact of Technology on Adolescents
  • Resilience and Mental Health
  • Health disparities and outcomes
  • Opioid Use Disorder Treatment
  • Advanced Neuroimaging Techniques and Applications
  • Substance Abuse Treatment and Outcomes
  • Indoor and Outdoor Localization Technologies
  • Maternal Mental Health During Pregnancy and Postpartum
  • Schizophrenia research and treatment
  • Obsessive-Compulsive Spectrum Disorders
  • Advanced Numerical Analysis Techniques
  • Posttraumatic Stress Disorder Research
  • Homelessness and Social Issues
  • Migration, Health and Trauma
  • Insect and Pesticide Research
  • Treatment of Major Depression

First Affiliated Hospital of Kunming Medical University
2016-2025

Kunming Medical University
2016-2025

Macau University of Science and Technology
2022-2025

Tianjin Hospital
2025

University of Georgia
2023-2024

Southwestern University of Finance and Economics
2024

Peking University
2008-2024

University of Michigan–Dearborn
2020-2024

China Earthquake Administration
2024

People’s Hospital of Wenshan Prefecture
2024

Objective: We examined the psychological impact of 2003 outbreak severe acute respiratory syndrome (SARS) on hospital employees in Beijing, China. Methods: In 2006, randomly selected ( n = 549) a Beijing were surveyed concerning their exposure to SARS outbreak, and ways which had affected mental health. Results: About 10% respondents experienced high levels posttraumatic stress (PTS) symptoms since outbreak. Respondents who been quarantined, or worked high-risk locations such as wards,...

10.1177/070674370905400504 article EN The Canadian Journal of Psychiatry 2009-05-01

The aim of this study was to examine alcohol abuse/dependence symptoms among hospital employees exposed a severe acute respiratory syndrome (SARS) outbreak, and the relationship between types exposure SARS outbreak subsequent symptoms.A survey conducted 549 randomly selected in Beijing, China, concerning psychological impact 2003 outbreak. Subjects were assessed on sociodemographic factors post-traumatic stress (PTS), depression.Current symptom counts 3 years after positively associated with...

10.1093/alcalc/agn073 article EN Alcohol and Alcoholism 2008-01-01

In an era when big data are becoming the norm, there is less concern with quantity but more quality and completeness of data. many disciplines, collected from heterogeneous sources, resulting in multi-view or multi-modal datasets. The missing problem has been challenging to address analysis. Especially, certain samples miss entire view data, it creates problem. Classic multiple imputations matrix completion methods hardly effective here no information can be based on specific impute for such...

10.1109/bigdata.2017.8257992 article EN 2021 IEEE International Conference on Big Data (Big Data) 2017-12-01

Depression is a serious health disorder. In this study, we investigate the feasibility of depression screening using sensor data collected from smartphones. We extract various behavioral features smartphone sensing and efficacy machine learning tools to predict clinical diagnoses PHQ-9 scores (a quantitative tool for aiding in practice). A notable feature our study that leverage dataset includes ground truth. find smartphones can with good accuracy. addition, combining provide prediction...

10.1109/wh.2016.7764553 article EN 2016-10-01

Depression is a common mood disorder that causes severe medical problems and interferes negatively with daily life. Identifying human behavior patterns are predictive or indicative of depressive important. Clinical diagnosis depression relies on costly clinician assessment using survey instruments which may not objectively reflect the fluctuation behavior. Self-administered surveys, such as Quick Inventory Depressive Symptomatology (QIDS) commonly used to monitor depression, show disparities...

10.1145/3191753 article EN Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies 2018-03-26

Graph convolutional network (GCN) is generalization of neural (CNN) to work with arbitrarily structured graphs. A binary adjacency matrix commonly used in training a GCN. Recently, the attention mechanism allows learn dynamic and adaptive aggregation neighborhood. We propose new GCN model on graphs where edges are characterized multiple views or precisely terms relationships. For instance, chemical graph theory, compound structures often represented by hydrogen-depleted molecular nodes...

10.48550/arxiv.1802.04944 preprint EN other-oa arXiv (Cornell University) 2018-01-01

School bullying victimization is associated with increased risk of anxiety in children and adolescents. However, little known about the role resilience this association. The purpose study was to investigate possible mediation by association a large group Chinese adolescents.A population-based cross-sectional adopting two-stage simple random cluster sampling implemented Yunnan province, southwestern China. A comprehensive questionnaire used collect information from participants. Among all...

10.1186/s13034-022-00490-x article EN cc-by Child and Adolescent Psychiatry and Mental Health 2022-06-25

Background Obsessive-compulsive disorder (OCD) is a mental illness characterized by the loss of control. Because cingulate cortex believed to be important in executive functions, such as inhibition, we used functional magnetic resonance imaging (fMRI) techniques examine whether and how activity connectivity (FC) were altered drug-naïve OCD patients. Methods Twenty-three medication-naïve patients 23 well-matched healthy controls received fMRI scans resting state. Functional connectivities...

10.1371/journal.pone.0067478 article EN cc-by PLoS ONE 2013-06-28

Little is known about the pathological mechanism of early adult onset depression (EOD) and later (LOD). We seek to determine whether grey matter volume (GMV) change in EOD LOD are different, which could also delineate LOD.In present study, 147 first-episode, drug-naive patients with major depressive disorder (MDD), age between 18 45, were divided into two groups on basis MDD onset: group (age 18-29) 30-44), a total 130 gender-, age-, matched healthy controls (HC) fit for each patient group....

10.1016/j.nicl.2016.08.016 article EN cc-by-nc-nd NeuroImage Clinical 2016-02-01

Depression is a major public health issue with direct and significant effects on both physical mental health. In this study, we analyze smartphone sensing data to find differential behavioral features that are correlated depression measures such as patient questionnaire (PHQ-9). Our approach uses an innovative multi-view bi-clustering algorithm. It takes multiple views of input identify homogeneous groups simultaneously the key characterize different groups. Using publicly available dataset,...

10.1109/chase.2016.27 article EN 2016-06-01

Non-suicidal self-injury (NSSI) among adolescents is prevalent and its rate has increased in recent years worldwide. Previous studies had investigated the association between parenting childhood NSSI, but little known about relationship parental rearing repetition severity of NSSI. The aim this study was to investigate associations with NSSI a representative adolescent sample from southwestern China.In cross-sectional study, 2,705 (F/M: 1,245/1,460; mean age: 13.4 ± 2.2 years) recruited 14...

10.7717/peerj.10493 article EN cc-by PeerJ 2020-12-07

Depression is a serious public health problem. Current diagnosis techniques rely on physician-administered or patient self-administered interview tools, which are burdensome and suffer from recall bias. Recent studies have proposed new approaches that use sensing data collected smartphones to serve as "human sensors" for automatic depression screening. These approaches, however, require running an app the phones continuous collection. We explore novel approach uses WiFi infrastructure...

10.1145/3287073 article EN Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies 2018-12-27

Childhood maltreatment could increase the risk of suicidal ideation (SI) in adolescents. However, mediation resilience this association remains unclear.A population-based cross-sectional study has been done among 3,146 Chinese We collected relevant information from participants by using self-administered questionnaire. version Trauma Questionnaire (CTQ), Resilience Scale for Adolescents (RSCA), and Beck Suicide Ideation (BSSI) were used to measure childhood maltreatment, resilience, SI,...

10.7717/peerj.11758 article EN cc-by PeerJ 2021-07-06

Background Non-suicidal self-injury (NSSI) has recently widely discussed. Independently, mobile phone addiction (MPA) also attracted academic attention. A few research have examined the correlation between two. However, there is inadequate knowledge to characterize this relationship altogether. This study further explores MPA and NSSI, specifically repeated severe NSSI. Method population-based cross-sectional survey was conducted among 2,719 adolescents in Lincang, Yunnan. The index (MPAI)...

10.7717/peerj.14057 article EN cc-by PeerJ 2022-10-17
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