Depression Detection

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6 papers in the last four weeks, down 45% on the four weeks before. 0.0% of all new papers.

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  1. PAT: A Personality-Driven Augmentation and Transfer Learning Framework for Depression Detection on Social Media

    Oct 10, 2026Shengwu Zheng, Yuzhe Ding, Xiaohui Liang +3Depression Detection

    School of Cyber Science and Engineering, Wuhan University · School of Public Health, Wuhan University

  2. HiPAD: A Unified Gait, Audio-Visual, and Personality Fusion Network for Depression Detection, with a Hierarchical Personality Ablation and the Calibration Limits of Domain-Adapted LLMs

    Oct 10, 2026Karol Chlasta, Piotr StruzikDepression DetectionDepression Severity Estimation

    Kozminski University Warsaw, Poland · WarsawIQ Warsaw, Poland

  3. From Sparse Representations to Behavioral Insights for Multimodal Depression Assessment

    Oct 8, 2026Guimin Hu, Zihao Song, Jiachen Luo +2Depression DetectionMultimodal Model Interpretability

    Guangdong University of Technology · Queen Mary University of London · The Hong Kong Polytechnic University

  4. No Transformer Beats Six Covariates: Long-Horizon Prediction of Depressive Symptoms from Childhood Essays

    Oct 6, 2026Daniel Kua, Emrul Hasan, John-Jose Nunez +1TransformerDepression Detection

    Department of Statistics, University of British Columbia, Vancouver, Canada · Vector Institute, Toronto, Canada · Department of Psychiatry, University of British Columbia, Vancouver, Canada +1

  5. Structure vs. Chain-of-Thought: Evaluating LLM Criteria Extraction for Depression Severity

    Sep 30, 2026Xinkai ChenDepression DetectionCoT Reasoning

    Independent Researcher

  6. MERID: Multimodal Exploration via Recursive Self-Improvement Agents for Major Depression Analysis

    Sep 28, 2026Lei Liu, Zhaokang Liang, Qingcheng Zeng +4Depression DetectionMultimodal Classification

    Yale University · Zhejiang University · Northwestern University +3

  7. Snugi-AI-v2 @ eRisk 2026 Task 2: Early Depression Detection via a Learned Stopping Policy with Sustained Confidence Gate

    Sep 8, 2026Yuwen ChiuDepression Detection

    Georgia Institute of Technology

  8. AdoDAS: A Privacy-Preserving Multimodal Challenge for Adolescent Depression, Anxiety, and Stress Assessment

    Sep 7, 2026Zhaojie Luo, Junkun Wang, Tianhua Qi +11Depression DetectionMental Health

    Southeast University · Shenzhen Loop Area Institute · Southeast University Nanjing, Jiangsu, China +13

  9. LongCounsel-8: A Benchmark Suite for Longitudinal Depression Tracking from Multi-Session Counseling Dialogues

    Sep 3, 2026Jiayi Li, Zhaomin Wu, Bingsheng HeMental Health CounselingDepression Detection

    Department of Computer Science National University of Singapore

  10. Do Depressive Facial Patterns Transfer Across Cultures and Contexts? Evidence from a German RCT and E-DAIC

    Sep 2, 2026Misha Sadeghi, Robert Richer, Lydia Helene Rupp +7Depression DetectionCross-Dataset Generalization

    Dept. AIBE, FAU Erlangen-Nürnberg Munich Center for Machine Learning Germany · Dept. of Clinical Psychology and Psychotherapy, FAU Erlangen-Nürnberg Germany · Dept. of Computer Science, FAU Erlangen-Nürnberg Germany +1

  11. VIS-DICT: A Visual Dictionary for Missing Modality Imputation in Social Network Depression Detection

    Sep 2, 2026Hamed Marvi, Mohammad Mehdi Keikha, Abolfazl NadiMissing-Modality LearningDepression Detection

    Department of Computer Science, School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran · Department of Computer Science, University of Sistan and Baluchestan, Zahedan, Iran

  12. Candidate Generation and Definition-Guided Verification for Sentence-Level Depression Symptom Recognition

    Sep 1, 2026Weiming Li, Catarina Barata, Miguel Constante +1LLM GroundingDepression Detection

    Institute for Systems and Robotics (ISR), LARSyS, Departamento de Bioengenharia, Instituto Superior Técnico (IST), 1049-001 Lisboa. Portugal · Institute for Systems and Robotics (ISR), LARSyS, Instituto Superior Técnico, University of Lisbon, 1049-001 Lisbon, Portugal · Department of Psychiatry, Hospital Beatriz Ângelo, 2674-514 Loures, Portugal

  13. Interpretable Symptom Vectors for Depression in a Large Language Model

    Sep 1, 2026Fangyi Zhu, Ajay Subramanian, Allison Constant +3Depression DetectionRepresentation Geometry in Language Models

    Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA · Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA · Kaiser Permanente, San Jose, CA, USA +2

  14. Evidence-Bounded Mental Health Reasoning from Heterogeneous Speech Protocols

    Aug 31, 2026Chengyuan Gao, Jiang Wu, Tao Lu +4Evidence-Grounded ReasoningDepression Detection

    Beijing University of Posts and Telecommunications · Harbin Institute of Technology · Renyixun Health Technology Co., Ltd. +2

  15. TAMI: Temporally Aligned, Missingness-Aware, and Interpretable Multimodal Fusion for Mental Health Assessment in Older Adults with Mild Cognitive Impairment

    Aug 31, 2026Merna Bibars, Bolaji Omofojoye, Allan I. Levey +3Missing-Modality LearningDepression Detection

    Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA · Department of Systems and Biomedical Engineering, Cairo University, Giza, Egypt · Department of Biomedical Informatics, Emory University, Atlanta, GA, USA +2

  16. M2LG-DG: A Multi-modal Local-Global Domain Generalization Framework for Cross-site Major Depressive Disorder Classification

    Aug 31, 2026Muhammad Asif Hasan, Yanming Zhu, Xuefei Yin +1Depression DetectionCross-Domain Generalization

    School of Information and Communication Technology, Griffith University, Gold Coast, QLD, 4215, Australia

  17. HiMA-MDD: A Hierarchical Multi-Agent Harness for Interpretable Multimodal Depression Detection in Clinical Interviews

    Aug 22, 2026Ao Chen, Xiaojiang PengDepression DetectionDepression Severity Estimation

    School of Artificial Intelligence, Shenzhen Technology University

  18. Multi-Source Multi-View Graph Domain Adaptation with Hyperbolic Residual Encoding for Cross-Site MDD Identification from rs-fMRI

    Jul 31, 2026Zhanpeng Zheng, Xiran Chen, Haiteng Jiang +6Multi-Source Domain AdaptationDomain Adaptation

    School of Computer and Artificial Intelligence, Shandong Jianzhu University, Shandong, China. · School of Mathematics and Statistics, Chongqing Jiaotong University, Chongqing, China. · Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, China. +4

  19. The MADRS Pipeline: Supporting Depression Assessment in Clinical Trials

    Jul 30, 2026Mila Fodor, Katalin Ócsai, Francesco Periti +2Depression DetectionClinical Decision Support

    Clario, part of Thermo Fisher Scientific

  20. Depression Markers in Speech: An Approach based on Tract Variables Dynamics

    Jul 28, 2026Sahar Altalhi, Tanaya Guha, Alessandro VinciarelliDepression DetectionSpeech Processing

    University of Glasgow (United Kingdom) and Taif University (Saudi Arabia) · University of Glasgow (United Kingdom)

  21. Neurai-VN Benchmark: Standardized Machine Learning Models for Multimodal Digital Phenotyping in Mental Health Classification

    Jul 28, 2026Quoc-Cuong Pham, Hoang-Thuy-Duong Vu, Thi-Thanh-Huong Ha +1Depression DetectionMental Health

    College of Engineering and Computer Science, VinUni-Illinois Smart Health Center, VinUniversity, Hanoi, Vietnam. · School of Biomedical Engineering, International University, Vietnam National University HCMC Ho Chi Minh, Vietnam.

  22. Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training

    Jul 24, 2026Ali Tabaraei, Federico Simonetta, Stavros NtalampirasDepression DetectionDomain Generalization

    Department of Computer Science, University of Milan, Milan, Italy · Computer Science Department, Gran Sasso Science Institute (GSSI), L’Aquila, Italy

  23. DS@GT ARC at eRisk 2026: Hybrid Multi-Agent LLM System with Structured Algorithmic Guidance for Conversational Depression Screening

    Jul 18, 2026Victor Gong, David GuechaMulti-Agent LLM SystemsDepression Detection

    Georgia Institute of Technology, North Ave NW, Atlanta, GA 30332

  24. Uncovering Latent Depression Severity for Binary Depression Detection via Advantage-weighting Ranking

    Jul 7, 2026Manning Gao, Tingyi Liu, Leheng Zhang +3Representation LearningLearning to Rank

    South China Normal University, China · Sun Yat-sen University, China

  25. Machine Learning for Depression Screening and Intervention: an Original Circadian Rhythm Score-based Methodology

    Jul 6, 2026Bin Wang, Shuo Lian, Yuanyuan Hou +5Conditional Average Treatment Effect EstimationDepression Detection

    Faculty of Information Science and Engineering Ocean University of China Qingdao, China · Department of Rehabilitation Medicine The Affiliated Hospital of Qingdao University Qingdao, China · School of Intelligent Medicine Chengdu University of Traditional Chinese Medicine Chengdu, China +1

  26. WPG-MoE: Weak-Prior-Guided Dense Mixture-of-Experts for User-Level Social Media Depression Detection

    Jul 5, 2026Xian Li, Yuanhe Tian, Yang Yang +2Social Media AnalysisDepression Detection

    University of Electronic Science and Technology of China · Zhongguancun Academy · University of Science and Technology of China

  27. Can Conversational Temporal Dynamics Improve Depression Detection in Dyads? A Preliminary Investigation in Multi-Modality Perspectives

    Jul 4, 2026Hanie Kang, Huang-Cheng Chou, Sudarsana Reddy Kadiri +1Depression DetectionMultimodal Fusion

    1Thomas Lord Department of Computer Science, University of Southern California, USA · 2Signal Analysis and Interpretation Laboratory (SAIL), University of Southern California, USA

  28. SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition

    Jul 2, 2026Yang Li, Pan Hu, Yan Zhang +3Graph Structure LearningElectroencephalography

    School of Software Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China

  29. RSPC: A Benchmark for Modeling Stress and Psychiatric Conditions in Digitally Mediated Relationships using Psychiatrist Annotations

    Jun 25, 2026Parmitha Vangapandu, Sai Ganesh Mokkapati, Sathwik Narkedimilli +4Social Media AnalysisLLM Evaluation

    Indian Institute of Information Technology Dharwad · Keshav Memorial College of Engineering · National University of Singapore +4

  30. Expresso-AI: Explainable Video-Based Deep Learning Models for Depression Diagnosis

    Jun 24, 2026Felipe Moreno, Sharifa Alghowinem, Hae Won Park +1Depression DetectionNeural Network Interpretability

    Media Lab MIT Cambridge, USA